2021-08-04 15:30:03,470 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 3007 examples to features 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-0 *** 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 潘 玉 良 # ： 从 妓 妾 到 一 代 画 魂 ( 图 ) # 潘 玉 良 # ( 1895 ~ 1977 ) ， 又 名 $ 张 玉 良 $ ， 字 世 秀 ， 江 苏 扬 州 人 。 [SEP] 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 108, 4050, 4373, 5679, 108, 8038, 794, 1972, 1989, 1168, 671, 807, 4514, 7789, 113, 1745, 114, 108, 4050, 4373, 5679, 108, 113, 10794, 172, 9060, 114, 8024, 1348, 1399, 109, 2476, 4373, 5679, 109, 8024, 2099, 686, 4899, 8024, 3736, 5722, 2813, 2336, 782, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 95 - labels: 9 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 96 - ids：[1, 5, 37, 41] 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-1 *** 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 阮 福 玉 [UNK] # ， 安 义 贞 丽 公 主 ， 嫁 $ 黎 文 燕 $ 。 [SEP] 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 108, 7342, 4886, 4373, 100, 108, 8024, 2128, 721, 6565, 714, 1062, 712, 8024, 2063, 109, 7944, 3152, 4242, 109, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 95 - labels: 1 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 96 - ids：[1, 6, 16, 20] 2021-08-04 15:30:03,473 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-2 *** 2021-08-04 15:30:03,473 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 出 身 贫 寒 的 # 李 光 前 # 深 受 其 岳 父 $ 陈 嘉 庚 $ 先 生 的 影 响 ， 一 生 热 心 社 会 公 益 ， 对 新 马 地 区 和 故 土 中 国 的 社 会 公 益 事 业 作 出 了 不 可 磨 灭 的 贡 献 。 [SEP] 2021-08-04 15:30:03,473 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 1139, 6716, 6577, 2170, 4638, 108, 3330, 1045, 1184, 108, 3918, 1358, 1071, 2277, 4266, 109, 7357, 1649, 2423, 109, 1044, 4495, 4638, 2512, 1510, 8024, 671, 4495, 4178, 2552, 4852, 833, 1062, 4660, 8024, 2190, 3173, 7716, 1765, 1277, 1469, 3125, 1759, 704, 1744, 4638, 4852, 833, 1062, 4660, 752, 689, 868, 1139, 749, 679, 1377, 4836, 4127, 4638, 6567, 4346, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,473 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,474 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:03,474 - INFO - preprocess.py - convert_bert_example - 95 - labels: 13 2021-08-04 15:30:03,474 - INFO - preprocess.py - convert_bert_example - 96 - ids：[6, 10, 16, 20] 2021-08-04 15:30:04,996 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 3007 features 2021-08-04 15:30:05,017 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features 2021-08-04 15:30:05,017 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-0 *** 2021-08-04 15:30:05,017 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 # 果 素 瑛 # 生 有 三 子 一 女 ， 即 $ 程 永 光 $ 、 程 永 源 、 程 永 江 和 程 慧 贞 。 [SEP] 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 108, 3362, 5162, 4446, 108, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 109, 4923, 3719, 1045, 109, 510, 4923, 3719, 3975, 510, 4923, 3719, 3736, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 96 - ids：[5, 9, 18, 22] 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-1 *** 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 果 素 瑛 生 有 三 子 一 女 ， 即 # 程 永 光 # 、 程 永 源 、 $ 程 永 江 $ 和 程 慧 贞 。 [SEP] 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 3362, 5162, 4446, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 108, 4923, 3719, 1045, 108, 510, 4923, 3719, 3975, 510, 109, 4923, 3719, 3736, 109, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 96 - ids：[16, 20, 26, 30] 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-2 *** 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 操 南 征 荆 州 ， # 刘 表 # 之 子 $ 刘 琮 $ 投 降 ， 刘 备 领 军 民 十 余 万 避 难 ， 于 当 阳 遭 遇 曹 军 追 兵 ， 惨 败 。 [SEP] 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 3293, 3082, 1298, 2519, 5769, 2336, 8024, 108, 1155, 6134, 108, 722, 2094, 109, 1155, 4429, 109, 2832, 7360, 8024, 1155, 1906, 7566, 1092, 3696, 1282, 865, 674, 6912, 7410, 8024, 754, 2496, 7345, 6901, 6878, 3293, 1092, 6841, 1070, 8024, 2673, 6571, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 96 - ids：[8, 11, 14, 17] 2021-08-04 15:30:05,394 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features 2021-08-04 15:30:05,445 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-0 *** 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 # 果 素 瑛 # 生 有 三 子 一 女 ， 即 $ 程 永 光 $ 、 程 永 源 、 程 永 江 和 程 慧 贞 。 [SEP] 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 108, 3362, 5162, 4446, 108, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 109, 4923, 3719, 1045, 109, 510, 4923, 3719, 3975, 510, 4923, 3719, 3736, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 96 - ids：[5, 9, 18, 22] 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-1 *** 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 果 素 瑛 生 有 三 子 一 女 ， 即 # 程 永 光 # 、 程 永 源 、 $ 程 永 江 $ 和 程 慧 贞 。 [SEP] 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 3362, 5162, 4446, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 108, 4923, 3719, 1045, 108, 510, 4923, 3719, 3975, 510, 109, 4923, 3719, 3736, 109, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 96 - ids：[16, 20, 26, 30] 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-2 *** 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 操 南 征 荆 州 ， # 刘 表 # 之 子 $ 刘 琮 $ 投 降 ， 刘 备 领 军 民 十 余 万 避 难 ， 于 当 阳 遭 遇 曹 军 追 兵 ， 惨 败 。 [SEP] 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 3293, 3082, 1298, 2519, 5769, 2336, 8024, 108, 1155, 6134, 108, 722, 2094, 109, 1155, 4429, 109, 2832, 7360, 8024, 1155, 1906, 7566, 1092, 3696, 1282, 865, 674, 6912, 7410, 8024, 754, 2496, 7345, 6901, 6878, 3293, 1092, 6841, 1070, 8024, 2673, 6571, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 96 - ids：[8, 11, 14, 17] 2021-08-04 15:30:05,826 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features 2021-08-04 15:30:11,073 - INFO - main.py - - 225 - ========进行测试======== 2021-08-04 15:31:11,267 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 3007 examples to features 2021-08-04 15:31:11,268 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-0 *** 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 潘 玉 良 # ： 从 妓 妾 到 一 代 画 魂 ( 图 ) # 潘 玉 良 # ( 1895 ~ 1977 ) ， 又 名 $ 张 玉 良 $ ， 字 世 秀 ， 江 苏 扬 州 人 。 [SEP] 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 108, 4050, 4373, 5679, 108, 8038, 794, 1972, 1989, 1168, 671, 807, 4514, 7789, 113, 1745, 114, 108, 4050, 4373, 5679, 108, 113, 10794, 172, 9060, 114, 8024, 1348, 1399, 109, 2476, 4373, 5679, 109, 8024, 2099, 686, 4899, 8024, 3736, 5722, 2813, 2336, 782, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 95 - labels: 9 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 96 - ids：[1, 5, 37, 41] 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-1 *** 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 阮 福 玉 [UNK] # ， 安 义 贞 丽 公 主 ， 嫁 $ 黎 文 燕 $ 。 [SEP] 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 108, 7342, 4886, 4373, 100, 108, 8024, 2128, 721, 6565, 714, 1062, 712, 8024, 2063, 109, 7944, 3152, 4242, 109, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 95 - labels: 1 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 96 - ids：[1, 6, 16, 20] 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-2 *** 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 出 身 贫 寒 的 # 李 光 前 # 深 受 其 岳 父 $ 陈 嘉 庚 $ 先 生 的 影 响 ， 一 生 热 心 社 会 公 益 ， 对 新 马 地 区 和 故 土 中 国 的 社 会 公 益 事 业 作 出 了 不 可 磨 灭 的 贡 献 。 [SEP] 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 1139, 6716, 6577, 2170, 4638, 108, 3330, 1045, 1184, 108, 3918, 1358, 1071, 2277, 4266, 109, 7357, 1649, 2423, 109, 1044, 4495, 4638, 2512, 1510, 8024, 671, 4495, 4178, 2552, 4852, 833, 1062, 4660, 8024, 2190, 3173, 7716, 1765, 1277, 1469, 3125, 1759, 704, 1744, 4638, 4852, 833, 1062, 4660, 752, 689, 868, 1139, 749, 679, 1377, 4836, 4127, 4638, 6567, 4346, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 95 - labels: 13 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 96 - ids：[6, 10, 16, 20] 2021-08-04 15:31:12,795 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 3007 features 2021-08-04 15:31:12,816 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-0 *** 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 # 果 素 瑛 # 生 有 三 子 一 女 ， 即 $ 程 永 光 $ 、 程 永 源 、 程 永 江 和 程 慧 贞 。 [SEP] 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 108, 3362, 5162, 4446, 108, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 109, 4923, 3719, 1045, 109, 510, 4923, 3719, 3975, 510, 4923, 3719, 3736, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 96 - ids：[5, 9, 18, 22] 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-1 *** 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 果 素 瑛 生 有 三 子 一 女 ， 即 # 程 永 光 # 、 程 永 源 、 $ 程 永 江 $ 和 程 慧 贞 。 [SEP] 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 3362, 5162, 4446, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 108, 4923, 3719, 1045, 108, 510, 4923, 3719, 3975, 510, 109, 4923, 3719, 3736, 109, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 96 - ids：[16, 20, 26, 30] 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-2 *** 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 操 南 征 荆 州 ， # 刘 表 # 之 子 $ 刘 琮 $ 投 降 ， 刘 备 领 军 民 十 余 万 避 难 ， 于 当 阳 遭 遇 曹 军 追 兵 ， 惨 败 。 [SEP] 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 3293, 3082, 1298, 2519, 5769, 2336, 8024, 108, 1155, 6134, 108, 722, 2094, 109, 1155, 4429, 109, 2832, 7360, 8024, 1155, 1906, 7566, 1092, 3696, 1282, 865, 674, 6912, 7410, 8024, 754, 2496, 7345, 6901, 6878, 3293, 1092, 6841, 1070, 8024, 2673, 6571, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 96 - ids：[8, 11, 14, 17] 2021-08-04 15:31:13,196 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features 2021-08-04 15:31:13,247 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-0 *** 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 # 果 素 瑛 # 生 有 三 子 一 女 ， 即 $ 程 永 光 $ 、 程 永 源 、 程 永 江 和 程 慧 贞 。 [SEP] 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 108, 3362, 5162, 4446, 108, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 109, 4923, 3719, 1045, 109, 510, 4923, 3719, 3975, 510, 4923, 3719, 3736, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 96 - ids：[5, 9, 18, 22] 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-1 *** 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 果 素 瑛 生 有 三 子 一 女 ， 即 # 程 永 光 # 、 程 永 源 、 $ 程 永 江 $ 和 程 慧 贞 。 [SEP] 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 3362, 5162, 4446, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 108, 4923, 3719, 1045, 108, 510, 4923, 3719, 3975, 510, 109, 4923, 3719, 3736, 109, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 96 - ids：[16, 20, 26, 30] 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-2 *** 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 操 南 征 荆 州 ， # 刘 表 # 之 子 $ 刘 琮 $ 投 降 ， 刘 备 领 军 民 十 余 万 避 难 ， 于 当 阳 遭 遇 曹 军 追 兵 ， 惨 败 。 [SEP] 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 3293, 3082, 1298, 2519, 5769, 2336, 8024, 108, 1155, 6134, 108, 722, 2094, 109, 1155, 4429, 109, 2832, 7360, 8024, 1155, 1906, 7566, 1092, 3696, 1282, 865, 674, 6912, 7410, 8024, 754, 2496, 7345, 6901, 6878, 3293, 1092, 6841, 1070, 8024, 2673, 6571, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 96 - ids：[8, 11, 14, 17] 2021-08-04 15:31:13,628 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features 2021-08-04 15:33:03,482 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 3007 examples to features 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-0 *** 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 潘 玉 良 # ： 从 妓 妾 到 一 代 画 魂 ( 图 ) # 潘 玉 良 # ( 1895 ~ 1977 ) ， 又 名 $ 张 玉 良 $ ， 字 世 秀 ， 江 苏 扬 州 人 。 [SEP] 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 108, 4050, 4373, 5679, 108, 8038, 794, 1972, 1989, 1168, 671, 807, 4514, 7789, 113, 1745, 114, 108, 4050, 4373, 5679, 108, 113, 10794, 172, 9060, 114, 8024, 1348, 1399, 109, 2476, 4373, 5679, 109, 8024, 2099, 686, 4899, 8024, 3736, 5722, 2813, 2336, 782, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 95 - labels: 9 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 96 - ids：[1, 5, 37, 41] 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-1 *** 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 阮 福 玉 [UNK] # ， 安 义 贞 丽 公 主 ， 嫁 $ 黎 文 燕 $ 。 [SEP] 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 108, 7342, 4886, 4373, 100, 108, 8024, 2128, 721, 6565, 714, 1062, 712, 8024, 2063, 109, 7944, 3152, 4242, 109, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 95 - labels: 1 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 96 - ids：[1, 6, 16, 20] 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-2 *** 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 出 身 贫 寒 的 # 李 光 前 # 深 受 其 岳 父 $ 陈 嘉 庚 $ 先 生 的 影 响 ， 一 生 热 心 社 会 公 益 ， 对 新 马 地 区 和 故 土 中 国 的 社 会 公 益 事 业 作 出 了 不 可 磨 灭 的 贡 献 。 [SEP] 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 1139, 6716, 6577, 2170, 4638, 108, 3330, 1045, 1184, 108, 3918, 1358, 1071, 2277, 4266, 109, 7357, 1649, 2423, 109, 1044, 4495, 4638, 2512, 1510, 8024, 671, 4495, 4178, 2552, 4852, 833, 1062, 4660, 8024, 2190, 3173, 7716, 1765, 1277, 1469, 3125, 1759, 704, 1744, 4638, 4852, 833, 1062, 4660, 752, 689, 868, 1139, 749, 679, 1377, 4836, 4127, 4638, 6567, 4346, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 95 - labels: 13 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 96 - ids：[6, 10, 16, 20] 2021-08-04 15:33:05,010 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 3007 features 2021-08-04 15:33:05,030 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-0 *** 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 # 果 素 瑛 # 生 有 三 子 一 女 ， 即 $ 程 永 光 $ 、 程 永 源 、 程 永 江 和 程 慧 贞 。 [SEP] 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 108, 3362, 5162, 4446, 108, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 109, 4923, 3719, 1045, 109, 510, 4923, 3719, 3975, 510, 4923, 3719, 3736, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 96 - ids：[5, 9, 18, 22] 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-1 *** 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 果 素 瑛 生 有 三 子 一 女 ， 即 # 程 永 光 # 、 程 永 源 、 $ 程 永 江 $ 和 程 慧 贞 。 [SEP] 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 3362, 5162, 4446, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 108, 4923, 3719, 1045, 108, 510, 4923, 3719, 3975, 510, 109, 4923, 3719, 3736, 109, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 96 - ids：[16, 20, 26, 30] 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-2 *** 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 操 南 征 荆 州 ， # 刘 表 # 之 子 $ 刘 琮 $ 投 降 ， 刘 备 领 军 民 十 余 万 避 难 ， 于 当 阳 遭 遇 曹 军 追 兵 ， 惨 败 。 [SEP] 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 3293, 3082, 1298, 2519, 5769, 2336, 8024, 108, 1155, 6134, 108, 722, 2094, 109, 1155, 4429, 109, 2832, 7360, 8024, 1155, 1906, 7566, 1092, 3696, 1282, 865, 674, 6912, 7410, 8024, 754, 2496, 7345, 6901, 6878, 3293, 1092, 6841, 1070, 8024, 2673, 6571, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 96 - ids：[8, 11, 14, 17] 2021-08-04 15:33:05,412 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features 2021-08-04 15:33:05,463 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-0 *** 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 # 果 素 瑛 # 生 有 三 子 一 女 ， 即 $ 程 永 光 $ 、 程 永 源 、 程 永 江 和 程 慧 贞 。 [SEP] 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 108, 3362, 5162, 4446, 108, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 109, 4923, 3719, 1045, 109, 510, 4923, 3719, 3975, 510, 4923, 3719, 3736, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 96 - ids：[5, 9, 18, 22] 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-1 *** 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 程 砚 秋 与 果 素 瑛 生 有 三 子 一 女 ， 即 # 程 永 光 # 、 程 永 源 、 $ 程 永 江 $ 和 程 慧 贞 。 [SEP] 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 4923, 4780, 4904, 680, 3362, 5162, 4446, 4495, 3300, 676, 2094, 671, 1957, 8024, 1315, 108, 4923, 3719, 1045, 108, 510, 4923, 3719, 3975, 510, 109, 4923, 3719, 3736, 109, 1469, 4923, 2716, 6565, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 96 - ids：[16, 20, 26, 30] 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-2 *** 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 操 南 征 荆 州 ， # 刘 表 # 之 子 $ 刘 琮 $ 投 降 ， 刘 备 领 军 民 十 余 万 避 难 ， 于 当 阳 遭 遇 曹 军 追 兵 ， 惨 败 。 [SEP] 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 92 - token_ids: [101, 3293, 3082, 1298, 2519, 5769, 2336, 8024, 108, 1155, 6134, 108, 722, 2094, 109, 1155, 4429, 109, 2832, 7360, 8024, 1155, 1906, 7566, 1092, 3696, 1282, 865, 674, 6912, 7410, 8024, 754, 2496, 7345, 6901, 6878, 3293, 1092, 6841, 1070, 8024, 2673, 6571, 511, 102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 93 - attention_masks: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 94 - token_type_ids: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 96 - ids：[8, 11, 14, 17] 2021-08-04 15:33:05,845 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features 2021-08-04 15:33:11,436 - INFO - main.py - train - 75 - 【train】 epoch：0 step:0/470 loss：2.738941 2021-08-04 15:33:11,699 - INFO - main.py - train - 75 - 【train】 epoch：0 step:1/470 loss：2.442903 2021-08-04 15:33:11,958 - INFO - main.py - train - 75 - 【train】 epoch：0 step:2/470 loss：2.637902 2021-08-04 15:33:12,218 - INFO - main.py - train - 75 - 【train】 epoch：0 step:3/470 loss：2.739039 2021-08-04 15:33:12,479 - INFO - main.py - train - 75 - 【train】 epoch：0 step:4/470 loss：2.506508 2021-08-04 15:33:12,721 - INFO - main.py - train - 75 - 【train】 epoch：0 step:5/470 loss：2.722153 2021-08-04 15:33:12,969 - INFO - main.py - train - 75 - 【train】 epoch：0 step:6/470 loss：2.501433 2021-08-04 15:33:13,229 - INFO - main.py - train - 75 - 【train】 epoch：0 step:7/470 loss：2.489779 2021-08-04 15:33:13,471 - INFO - main.py - train - 75 - 【train】 epoch：0 step:8/470 loss：2.605251 2021-08-04 15:33:13,710 - INFO - main.py - train - 75 - 【train】 epoch：0 step:9/470 loss：2.249799 2021-08-04 15:33:13,962 - INFO - main.py - train - 75 - 【train】 epoch：0 step:10/470 loss：2.318642 2021-08-04 15:33:14,201 - INFO - main.py - train - 75 - 【train】 epoch：0 step:11/470 loss：2.338776 2021-08-04 15:33:14,447 - INFO - main.py - train - 75 - 【train】 epoch：0 step:12/470 loss：2.301445 2021-08-04 15:33:14,687 - INFO - main.py - train - 75 - 【train】 epoch：0 step:13/470 loss：2.515522 2021-08-04 15:33:14,933 - INFO - main.py - train - 75 - 【train】 epoch：0 step:14/470 loss：2.375315 2021-08-04 15:33:15,177 - INFO - main.py - train - 75 - 【train】 epoch：0 step:15/470 loss：2.531625 2021-08-04 15:33:15,417 - INFO - main.py - train - 75 - 【train】 epoch：0 step:16/470 loss：2.266894 2021-08-04 15:33:15,672 - INFO - main.py - train - 75 - 【train】 epoch：0 step:17/470 loss：2.683783 2021-08-04 15:33:15,912 - INFO - main.py - train - 75 - 【train】 epoch：0 step:18/470 loss：2.403363 2021-08-04 15:33:16,167 - INFO - main.py - train - 75 - 【train】 epoch：0 step:19/470 loss：2.221346 2021-08-04 15:33:16,428 - INFO - main.py - train - 75 - 【train】 epoch：0 step:20/470 loss：2.139409 2021-08-04 15:33:16,689 - INFO - main.py - train - 75 - 【train】 epoch：0 step:21/470 loss：2.162925 2021-08-04 15:33:16,931 - INFO - main.py - train - 75 - 【train】 epoch：0 step:22/470 loss：2.444330 2021-08-04 15:33:17,186 - INFO - main.py - train - 75 - 【train】 epoch：0 step:23/470 loss：1.999857 2021-08-04 15:33:17,427 - INFO - main.py - train - 75 - 【train】 epoch：0 step:24/470 loss：2.094799 2021-08-04 15:33:17,684 - INFO - main.py - train - 75 - 【train】 epoch：0 step:25/470 loss：2.202896 2021-08-04 15:33:17,944 - INFO - main.py - train - 75 - 【train】 epoch：0 step:26/470 loss：2.139892 2021-08-04 15:33:18,202 - INFO - main.py - train - 75 - 【train】 epoch：0 step:27/470 loss：2.409170 2021-08-04 15:33:18,463 - INFO - main.py - train - 75 - 【train】 epoch：0 step:28/470 loss：2.231919 2021-08-04 15:33:18,723 - INFO - main.py - train - 75 - 【train】 epoch：0 step:29/470 loss：1.918922 2021-08-04 15:33:18,983 - INFO - main.py - train - 75 - 【train】 epoch：0 step:30/470 loss：2.151112 2021-08-04 15:33:19,244 - INFO - main.py - train - 75 - 【train】 epoch：0 step:31/470 loss：1.966784 2021-08-04 15:33:19,504 - INFO - main.py - train - 75 - 【train】 epoch：0 step:32/470 loss：2.046290 2021-08-04 15:33:19,762 - INFO - main.py - train - 75 - 【train】 epoch：0 step:33/470 loss：1.971795 2021-08-04 15:33:20,003 - INFO - main.py - train - 75 - 【train】 epoch：0 step:34/470 loss：1.852659 2021-08-04 15:33:20,259 - INFO - main.py - train - 75 - 【train】 epoch：0 step:35/470 loss：1.948430 2021-08-04 15:33:20,519 - INFO - main.py - train - 75 - 【train】 epoch：0 step:36/470 loss：2.306207 2021-08-04 15:33:20,761 - INFO - main.py - train - 75 - 【train】 epoch：0 step:37/470 loss：2.071875 2021-08-04 15:33:21,007 - INFO - main.py - train - 75 - 【train】 epoch：0 step:38/470 loss：1.625457 2021-08-04 15:33:21,264 - INFO - main.py - train - 75 - 【train】 epoch：0 step:39/470 loss：1.661751 2021-08-04 15:33:21,507 - INFO - main.py - train - 75 - 【train】 epoch：0 step:40/470 loss：1.532043 2021-08-04 15:33:21,761 - INFO - main.py - train - 75 - 【train】 epoch：0 step:41/470 loss：1.808992 2021-08-04 15:33:22,013 - INFO - main.py - train - 75 - 【train】 epoch：0 step:42/470 loss：1.955878 2021-08-04 15:33:22,273 - INFO - main.py - train - 75 - 【train】 epoch：0 step:43/470 loss：1.752096 2021-08-04 15:33:22,534 - INFO - main.py - train - 75 - 【train】 epoch：0 step:44/470 loss：1.921384 2021-08-04 15:33:22,776 - INFO - main.py - train - 75 - 【train】 epoch：0 step:45/470 loss：1.626383 2021-08-04 15:33:23,030 - INFO - main.py - train - 75 - 【train】 epoch：0 step:46/470 loss：1.728661 2021-08-04 15:33:23,272 - INFO - main.py - train - 75 - 【train】 epoch：0 step:47/470 loss：1.835043 2021-08-04 15:33:23,512 - INFO - main.py - train - 75 - 【train】 epoch：0 step:48/470 loss：1.631289 2021-08-04 15:33:23,768 - INFO - main.py - train - 75 - 【train】 epoch：0 step:49/470 loss：1.486598 2021-08-04 15:33:24,029 - INFO - main.py - train - 75 - 【train】 epoch：0 step:50/470 loss：1.500815 2021-08-04 15:33:24,276 - INFO - main.py - train - 75 - 【train】 epoch：0 step:51/470 loss：1.854744 2021-08-04 15:33:24,533 - INFO - main.py - train - 75 - 【train】 epoch：0 step:52/470 loss：1.342511 2021-08-04 15:33:24,778 - INFO - main.py - train - 75 - 【train】 epoch：0 step:53/470 loss：1.509786 2021-08-04 15:33:25,035 - INFO - main.py - train - 75 - 【train】 epoch：0 step:54/470 loss：1.670896 2021-08-04 15:33:25,295 - INFO - main.py - train - 75 - 【train】 epoch：0 step:55/470 loss：1.662836 2021-08-04 15:33:25,556 - INFO - main.py - train - 75 - 【train】 epoch：0 step:56/470 loss：1.447070 2021-08-04 15:33:25,816 - INFO - main.py - train - 75 - 【train】 epoch：0 step:57/470 loss：1.504943 2021-08-04 15:33:26,077 - INFO - main.py - train - 75 - 【train】 epoch：0 step:58/470 loss：1.410316 2021-08-04 15:33:26,337 - INFO - main.py - train - 75 - 【train】 epoch：0 step:59/470 loss：1.154627 2021-08-04 15:33:26,598 - INFO - main.py - train - 75 - 【train】 epoch：0 step:60/470 loss：1.365753 2021-08-04 15:33:26,839 - INFO - main.py - train - 75 - 【train】 epoch：0 step:61/470 loss：1.595850 2021-08-04 15:33:27,085 - INFO - main.py - train - 75 - 【train】 epoch：0 step:62/470 loss：1.298924 2021-08-04 15:33:27,340 - INFO - main.py - train - 75 - 【train】 epoch：0 step:63/470 loss：1.016461 2021-08-04 15:33:27,594 - INFO - main.py - train - 75 - 【train】 epoch：0 step:64/470 loss：1.111467 2021-08-04 15:33:27,835 - INFO - main.py - train - 75 - 【train】 epoch：0 step:65/470 loss：1.452160 2021-08-04 15:33:28,077 - INFO - main.py - train - 75 - 【train】 epoch：0 step:66/470 loss：1.777116 2021-08-04 15:33:28,336 - INFO - main.py - train - 75 - 【train】 epoch：0 step:67/470 loss：0.870031 2021-08-04 15:33:28,597 - INFO - main.py - train - 75 - 【train】 epoch：0 step:68/470 loss：1.148087 2021-08-04 15:33:28,838 - INFO - main.py - train - 75 - 【train】 epoch：0 step:69/470 loss：1.715021 2021-08-04 15:33:29,094 - INFO - main.py - train - 75 - 【train】 epoch：0 step:70/470 loss：1.095213 2021-08-04 15:33:29,355 - INFO - main.py - train - 75 - 【train】 epoch：0 step:71/470 loss：1.093429 2021-08-04 15:33:29,615 - INFO - main.py - train - 75 - 【train】 epoch：0 step:72/470 loss：1.010999 2021-08-04 15:33:29,876 - INFO - main.py - train - 75 - 【train】 epoch：0 step:73/470 loss：0.989659 2021-08-04 15:33:30,117 - INFO - main.py - train - 75 - 【train】 epoch：0 step:74/470 loss：0.847157 2021-08-04 15:33:30,377 - INFO - main.py - train - 75 - 【train】 epoch：0 step:75/470 loss：1.075360 2021-08-04 15:33:30,637 - INFO - main.py - train - 75 - 【train】 epoch：0 step:76/470 loss：0.893787 2021-08-04 15:33:30,898 - INFO - main.py - train - 75 - 【train】 epoch：0 step:77/470 loss：0.937302 2021-08-04 15:33:31,159 - INFO - main.py - train - 75 - 【train】 epoch：0 step:78/470 loss：1.014184 2021-08-04 15:33:31,419 - INFO - main.py - train - 75 - 【train】 epoch：0 step:79/470 loss：0.949398 2021-08-04 15:33:31,679 - INFO - main.py - train - 75 - 【train】 epoch：0 step:80/470 loss：0.854396 2021-08-04 15:33:31,939 - INFO - main.py - train - 75 - 【train】 epoch：0 step:81/470 loss：0.878353 2021-08-04 15:33:32,199 - INFO - main.py - train - 75 - 【train】 epoch：0 step:82/470 loss：1.155449 2021-08-04 15:33:32,461 - INFO - main.py - train - 75 - 【train】 epoch：0 step:83/470 loss：0.776811 2021-08-04 15:33:32,721 - INFO - main.py - train - 75 - 【train】 epoch：0 step:84/470 loss：1.143481 2021-08-04 15:33:32,981 - INFO - main.py - train - 75 - 【train】 epoch：0 step:85/470 loss：0.801605 2021-08-04 15:33:33,223 - INFO - main.py - train - 75 - 【train】 epoch：0 step:86/470 loss：0.973405 2021-08-04 15:33:33,478 - INFO - main.py - train - 75 - 【train】 epoch：0 step:87/470 loss：0.795102 2021-08-04 15:33:33,738 - INFO - main.py - train - 75 - 【train】 epoch：0 step:88/470 loss：0.941185 2021-08-04 15:33:33,998 - INFO - main.py - train - 75 - 【train】 epoch：0 step:89/470 loss：0.886407 2021-08-04 15:33:34,259 - INFO - main.py - train - 75 - 【train】 epoch：0 step:90/470 loss：0.938255 2021-08-04 15:33:34,519 - INFO - main.py - train - 75 - 【train】 epoch：0 step:91/470 loss：1.718175 2021-08-04 15:33:34,780 - INFO - main.py - train - 75 - 【train】 epoch：0 step:92/470 loss：0.777261 2021-08-04 15:33:35,034 - INFO - main.py - train - 75 - 【train】 epoch：0 step:93/470 loss：0.871370 2021-08-04 15:33:35,440 - INFO - main.py - train - 75 - 【train】 epoch：1 step:94/470 loss：0.596829 2021-08-04 15:33:35,704 - INFO - main.py - train - 75 - 【train】 epoch：1 step:95/470 loss：0.836555 2021-08-04 15:33:35,963 - INFO - main.py - train - 75 - 【train】 epoch：1 step:96/470 loss：0.890434 2021-08-04 15:33:36,204 - INFO - main.py - train - 75 - 【train】 epoch：1 step:97/470 loss：0.695426 2021-08-04 15:33:36,464 - INFO - main.py - train - 75 - 【train】 epoch：1 step:98/470 loss：0.812712 2021-08-04 15:33:36,725 - INFO - main.py - train - 75 - 【train】 epoch：1 step:99/470 loss：0.991525 2021-08-04 15:33:38,619 - INFO - main.py - train - 81 - 【dev】 loss：16.682451 accuracy：0.7540 micro_f1：0.7540 macro_f1：0.7514 2021-08-04 15:33:38,619 - INFO - main.py - train - 83 - ------------>保存当前最好的模型 2021-08-04 15:33:41,044 - INFO - main.py - train - 75 - 【train】 epoch：1 step:100/470 loss：0.832181 2021-08-04 15:33:41,304 - INFO - main.py - train - 75 - 【train】 epoch：1 step:101/470 loss：0.562540 2021-08-04 15:33:41,565 - INFO - main.py - train - 75 - 【train】 epoch：1 step:102/470 loss：0.567202 2021-08-04 15:33:41,826 - INFO - main.py - train - 75 - 【train】 epoch：1 step:103/470 loss：0.729387 2021-08-04 15:33:42,087 - INFO - main.py - train - 75 - 【train】 epoch：1 step:104/470 loss：0.722306 2021-08-04 15:33:42,348 - INFO - main.py - train - 75 - 【train】 epoch：1 step:105/470 loss：0.639745 2021-08-04 15:33:42,609 - INFO - main.py - train - 75 - 【train】 epoch：1 step:106/470 loss：0.570547 2021-08-04 15:33:42,870 - INFO - main.py - train - 75 - 【train】 epoch：1 step:107/470 loss：0.630437 2021-08-04 15:33:43,131 - INFO - main.py - train - 75 - 【train】 epoch：1 step:108/470 loss：0.791091 2021-08-04 15:33:43,388 - INFO - main.py - train - 75 - 【train】 epoch：1 step:109/470 loss：0.845915 2021-08-04 15:33:43,648 - INFO - main.py - train - 75 - 【train】 epoch：1 step:110/470 loss：0.741541 2021-08-04 15:33:43,908 - INFO - main.py - train - 75 - 【train】 epoch：1 step:111/470 loss：0.478089 2021-08-04 15:33:44,169 - INFO - main.py - train - 75 - 【train】 epoch：1 step:112/470 loss：0.812183 2021-08-04 15:33:44,431 - INFO - main.py - train - 75 - 【train】 epoch：1 step:113/470 loss：0.724340 2021-08-04 15:33:44,692 - INFO - main.py - train - 75 - 【train】 epoch：1 step:114/470 loss：0.645633 2021-08-04 15:33:44,954 - INFO - main.py - train - 75 - 【train】 epoch：1 step:115/470 loss：0.557574 2021-08-04 15:33:45,214 - INFO - main.py - train - 75 - 【train】 epoch：1 step:116/470 loss：0.843068 2021-08-04 15:33:45,476 - INFO - main.py - train - 75 - 【train】 epoch：1 step:117/470 loss：0.617808 2021-08-04 15:33:45,736 - INFO - main.py - train - 75 - 【train】 epoch：1 step:118/470 loss：0.638611 2021-08-04 15:33:45,996 - INFO - main.py - train - 75 - 【train】 epoch：1 step:119/470 loss：0.862266 2021-08-04 15:33:46,257 - INFO - main.py - train - 75 - 【train】 epoch：1 step:120/470 loss：0.631224 2021-08-04 15:33:46,518 - INFO - main.py - train - 75 - 【train】 epoch：1 step:121/470 loss：0.622346 2021-08-04 15:33:46,779 - INFO - main.py - train - 75 - 【train】 epoch：1 step:122/470 loss：0.605798 2021-08-04 15:33:47,040 - INFO - main.py - train - 75 - 【train】 epoch：1 step:123/470 loss：0.487681 2021-08-04 15:33:47,296 - INFO - main.py - train - 75 - 【train】 epoch：1 step:124/470 loss：0.518456 2021-08-04 15:33:47,556 - INFO - main.py - train - 75 - 【train】 epoch：1 step:125/470 loss：0.497469 2021-08-04 15:33:47,817 - INFO - main.py - train - 75 - 【train】 epoch：1 step:126/470 loss：0.712188 2021-08-04 15:33:48,078 - INFO - main.py - train - 75 - 【train】 epoch：1 step:127/470 loss：0.983957 2021-08-04 15:33:48,337 - INFO - main.py - train - 75 - 【train】 epoch：1 step:128/470 loss：0.580678 2021-08-04 15:33:48,599 - INFO - main.py - train - 75 - 【train】 epoch：1 step:129/470 loss：0.638081 2021-08-04 15:33:48,859 - INFO - main.py - train - 75 - 【train】 epoch：1 step:130/470 loss：0.667517 2021-08-04 15:33:49,120 - INFO - main.py - train - 75 - 【train】 epoch：1 step:131/470 loss：0.388605 2021-08-04 15:33:49,380 - INFO - main.py - train - 75 - 【train】 epoch：1 step:132/470 loss：0.623617 2021-08-04 15:33:49,641 - INFO - main.py - train - 75 - 【train】 epoch：1 step:133/470 loss：0.789177 2021-08-04 15:33:49,902 - INFO - main.py - train - 75 - 【train】 epoch：1 step:134/470 loss：0.368594 2021-08-04 15:33:50,163 - INFO - main.py - train - 75 - 【train】 epoch：1 step:135/470 loss：1.093076 2021-08-04 15:33:50,423 - INFO - main.py - train - 75 - 【train】 epoch：1 step:136/470 loss：1.117832 2021-08-04 15:33:50,684 - INFO - main.py - train - 75 - 【train】 epoch：1 step:137/470 loss：0.726292 2021-08-04 15:33:50,944 - INFO - main.py - train - 75 - 【train】 epoch：1 step:138/470 loss：0.847566 2021-08-04 15:33:51,204 - INFO - main.py - train - 75 - 【train】 epoch：1 step:139/470 loss：0.595545 2021-08-04 15:33:51,465 - INFO - main.py - train - 75 - 【train】 epoch：1 step:140/470 loss：0.613501 2021-08-04 15:33:51,726 - INFO - main.py - train - 75 - 【train】 epoch：1 step:141/470 loss：0.719122 2021-08-04 15:33:51,986 - INFO - main.py - train - 75 - 【train】 epoch：1 step:142/470 loss：0.646270 2021-08-04 15:33:52,247 - INFO - main.py - train - 75 - 【train】 epoch：1 step:143/470 loss：0.529591 2021-08-04 15:33:52,508 - INFO - main.py - train - 75 - 【train】 epoch：1 step:144/470 loss：0.798251 2021-08-04 15:33:52,769 - INFO - main.py - train - 75 - 【train】 epoch：1 step:145/470 loss：0.497400 2021-08-04 15:33:53,029 - INFO - main.py - train - 75 - 【train】 epoch：1 step:146/470 loss：0.583785 2021-08-04 15:33:53,289 - INFO - main.py - train - 75 - 【train】 epoch：1 step:147/470 loss：0.625143 2021-08-04 15:33:53,548 - INFO - main.py - train - 75 - 【train】 epoch：1 step:148/470 loss：0.478850 2021-08-04 15:33:53,809 - INFO - main.py - train - 75 - 【train】 epoch：1 step:149/470 loss：0.502451 2021-08-04 15:33:54,069 - INFO - main.py - train - 75 - 【train】 epoch：1 step:150/470 loss：0.705647 2021-08-04 15:33:54,330 - INFO - main.py - train - 75 - 【train】 epoch：1 step:151/470 loss：0.832578 2021-08-04 15:33:54,591 - INFO - main.py - train - 75 - 【train】 epoch：1 step:152/470 loss：0.457497 2021-08-04 15:33:54,852 - INFO - main.py - train - 75 - 【train】 epoch：1 step:153/470 loss：0.487468 2021-08-04 15:33:55,113 - INFO - main.py - train - 75 - 【train】 epoch：1 step:154/470 loss：0.637507 2021-08-04 15:33:55,373 - INFO - main.py - train - 75 - 【train】 epoch：1 step:155/470 loss：0.666812 2021-08-04 15:33:55,634 - INFO - main.py - train - 75 - 【train】 epoch：1 step:156/470 loss：0.578424 2021-08-04 15:33:55,894 - INFO - main.py - train - 75 - 【train】 epoch：1 step:157/470 loss：0.616438 2021-08-04 15:33:56,155 - INFO - main.py - train - 75 - 【train】 epoch：1 step:158/470 loss：0.586449 2021-08-04 15:33:56,417 - INFO - main.py - train - 75 - 【train】 epoch：1 step:159/470 loss：0.540878 2021-08-04 15:33:56,678 - INFO - main.py - train - 75 - 【train】 epoch：1 step:160/470 loss：0.520026 2021-08-04 15:33:56,939 - INFO - main.py - train - 75 - 【train】 epoch：1 step:161/470 loss：0.366676 2021-08-04 15:33:57,200 - INFO - main.py - train - 75 - 【train】 epoch：1 step:162/470 loss：0.932560 2021-08-04 15:33:57,461 - INFO - main.py - train - 75 - 【train】 epoch：1 step:163/470 loss：0.624834 2021-08-04 15:33:57,721 - INFO - main.py - train - 75 - 【train】 epoch：1 step:164/470 loss：0.775349 2021-08-04 15:33:57,982 - INFO - main.py - train - 75 - 【train】 epoch：1 step:165/470 loss：0.349454 2021-08-04 15:33:58,242 - INFO - main.py - train - 75 - 【train】 epoch：1 step:166/470 loss：0.584568 2021-08-04 15:33:58,503 - INFO - main.py - train - 75 - 【train】 epoch：1 step:167/470 loss：0.576938 2021-08-04 15:33:58,765 - INFO - main.py - train - 75 - 【train】 epoch：1 step:168/470 loss：0.917488 2021-08-04 15:33:59,026 - INFO - main.py - train - 75 - 【train】 epoch：1 step:169/470 loss：0.728030 2021-08-04 15:33:59,286 - INFO - main.py - train - 75 - 【train】 epoch：1 step:170/470 loss：0.768721 2021-08-04 15:33:59,547 - INFO - main.py - train - 75 - 【train】 epoch：1 step:171/470 loss：0.974091 2021-08-04 15:33:59,806 - INFO - main.py - train - 75 - 【train】 epoch：1 step:172/470 loss：1.047513 2021-08-04 15:34:00,066 - INFO - main.py - train - 75 - 【train】 epoch：1 step:173/470 loss：0.824749 2021-08-04 15:34:00,328 - INFO - main.py - train - 75 - 【train】 epoch：1 step:174/470 loss：0.495384 2021-08-04 15:34:00,586 - INFO - main.py - train - 75 - 【train】 epoch：1 step:175/470 loss：0.590039 2021-08-04 15:34:00,847 - INFO - main.py - train - 75 - 【train】 epoch：1 step:176/470 loss：0.530377 2021-08-04 15:34:01,108 - INFO - main.py - train - 75 - 【train】 epoch：1 step:177/470 loss：0.741485 2021-08-04 15:34:01,354 - INFO - main.py - train - 75 - 【train】 epoch：1 step:178/470 loss：0.624019 2021-08-04 15:34:01,613 - INFO - main.py - train - 75 - 【train】 epoch：1 step:179/470 loss：0.462669 2021-08-04 15:34:01,875 - INFO - main.py - train - 75 - 【train】 epoch：1 step:180/470 loss：0.644514 2021-08-04 15:34:02,135 - INFO - main.py - train - 75 - 【train】 epoch：1 step:181/470 loss：0.671992 2021-08-04 15:34:02,396 - INFO - main.py - train - 75 - 【train】 epoch：1 step:182/470 loss：0.630125 2021-08-04 15:34:02,658 - INFO - main.py - train - 75 - 【train】 epoch：1 step:183/470 loss：0.499210 2021-08-04 15:34:02,918 - INFO - main.py - train - 75 - 【train】 epoch：1 step:184/470 loss：0.559099 2021-08-04 15:34:03,179 - INFO - main.py - train - 75 - 【train】 epoch：1 step:185/470 loss：0.615131 2021-08-04 15:34:03,440 - INFO - main.py - train - 75 - 【train】 epoch：1 step:186/470 loss：0.706063 2021-08-04 15:34:03,695 - INFO - main.py - train - 75 - 【train】 epoch：1 step:187/470 loss：0.518438 2021-08-04 15:34:04,104 - INFO - main.py - train - 75 - 【train】 epoch：2 step:188/470 loss：0.274573 2021-08-04 15:34:04,363 - INFO - main.py - train - 75 - 【train】 epoch：2 step:189/470 loss：0.372987 2021-08-04 15:34:04,625 - INFO - main.py - train - 75 - 【train】 epoch：2 step:190/470 loss：0.406053 2021-08-04 15:34:04,885 - INFO - main.py - train - 75 - 【train】 epoch：2 step:191/470 loss：0.423255 2021-08-04 15:34:05,146 - INFO - main.py - train - 75 - 【train】 epoch：2 step:192/470 loss：0.385954 2021-08-04 15:34:05,407 - INFO - main.py - train - 75 - 【train】 epoch：2 step:193/470 loss：0.187622 2021-08-04 15:34:05,668 - INFO - main.py - train - 75 - 【train】 epoch：2 step:194/470 loss：0.383092 2021-08-04 15:34:05,929 - INFO - main.py - train - 75 - 【train】 epoch：2 step:195/470 loss：0.266949 2021-08-04 15:34:06,190 - INFO - main.py - train - 75 - 【train】 epoch：2 step:196/470 loss：0.584982 2021-08-04 15:34:06,451 - INFO - main.py - train - 75 - 【train】 epoch：2 step:197/470 loss：0.450773 2021-08-04 15:34:06,712 - INFO - main.py - train - 75 - 【train】 epoch：2 step:198/470 loss：0.488966 2021-08-04 15:34:06,973 - INFO - main.py - train - 75 - 【train】 epoch：2 step:199/470 loss：0.400823 2021-08-04 15:34:08,876 - INFO - main.py - train - 81 - 【dev】 loss：12.677104 accuracy：0.8218 micro_f1：0.8218 macro_f1：0.8333 2021-08-04 15:34:08,876 - INFO - main.py - train - 83 - ------------>保存当前最好的模型 2021-08-04 15:34:11,728 - INFO - main.py - train - 75 - 【train】 epoch：2 step:200/470 loss：0.268761 2021-08-04 15:34:11,988 - INFO - main.py - train - 75 - 【train】 epoch：2 step:201/470 loss：0.307722 2021-08-04 15:34:12,251 - INFO - main.py - train - 75 - 【train】 epoch：2 step:202/470 loss：0.268369 2021-08-04 15:34:12,513 - INFO - main.py - train - 75 - 【train】 epoch：2 step:203/470 loss：0.284896 2021-08-04 15:34:12,774 - INFO - main.py - train - 75 - 【train】 epoch：2 step:204/470 loss：0.434599 2021-08-04 15:34:13,035 - INFO - main.py - train - 75 - 【train】 epoch：2 step:205/470 loss：0.158234 2021-08-04 15:34:13,296 - INFO - main.py - train - 75 - 【train】 epoch：2 step:206/470 loss：0.273882 2021-08-04 15:34:13,558 - INFO - main.py - train - 75 - 【train】 epoch：2 step:207/470 loss：0.249091 2021-08-04 15:34:13,818 - INFO - main.py - train - 75 - 【train】 epoch：2 step:208/470 loss：0.294189 2021-08-04 15:34:14,079 - INFO - main.py - train - 75 - 【train】 epoch：2 step:209/470 loss：0.389416 2021-08-04 15:34:14,340 - INFO - main.py - train - 75 - 【train】 epoch：2 step:210/470 loss：0.526782 2021-08-04 15:34:14,601 - INFO - main.py - train - 75 - 【train】 epoch：2 step:211/470 loss：0.511380 2021-08-04 15:34:14,863 - INFO - main.py - train - 75 - 【train】 epoch：2 step:212/470 loss：0.262331 2021-08-04 15:34:15,123 - INFO - main.py - train - 75 - 【train】 epoch：2 step:213/470 loss：0.370937 2021-08-04 15:34:15,384 - INFO - main.py - train - 75 - 【train】 epoch：2 step:214/470 loss：0.385261 2021-08-04 15:34:15,644 - INFO - main.py - train - 75 - 【train】 epoch：2 step:215/470 loss：0.341951 2021-08-04 15:34:15,904 - INFO - main.py - train - 75 - 【train】 epoch：2 step:216/470 loss：0.548483 2021-08-04 15:34:16,165 - INFO - main.py - train - 75 - 【train】 epoch：2 step:217/470 loss：0.258222 2021-08-04 15:34:16,426 - INFO - main.py - train - 75 - 【train】 epoch：2 step:218/470 loss：0.339273 2021-08-04 15:34:16,687 - INFO - main.py - train - 75 - 【train】 epoch：2 step:219/470 loss：0.186409 2021-08-04 15:34:16,948 - INFO - main.py - train - 75 - 【train】 epoch：2 step:220/470 loss：0.337132 2021-08-04 15:34:17,208 - INFO - main.py - train - 75 - 【train】 epoch：2 step:221/470 loss：0.258361 2021-08-04 15:34:17,469 - INFO - main.py - train - 75 - 【train】 epoch：2 step:222/470 loss：0.270177 2021-08-04 15:34:17,729 - INFO - main.py - train - 75 - 【train】 epoch：2 step:223/470 loss：0.236204 2021-08-04 15:34:17,990 - INFO - main.py - train - 75 - 【train】 epoch：2 step:224/470 loss：0.336616 2021-08-04 15:34:18,250 - INFO - main.py - train - 75 - 【train】 epoch：2 step:225/470 loss：0.368107 2021-08-04 15:34:18,510 - INFO - main.py - train - 75 - 【train】 epoch：2 step:226/470 loss：0.412180 2021-08-04 15:34:18,772 - INFO - main.py - train - 75 - 【train】 epoch：2 step:227/470 loss：0.381896 2021-08-04 15:34:19,032 - INFO - main.py - train - 75 - 【train】 epoch：2 step:228/470 loss：0.309364 2021-08-04 15:34:19,293 - INFO - main.py - train - 75 - 【train】 epoch：2 step:229/470 loss：0.237607 2021-08-04 15:34:19,554 - INFO - main.py - train - 75 - 【train】 epoch：2 step:230/470 loss：0.215118 2021-08-04 15:34:19,814 - INFO - main.py - train - 75 - 【train】 epoch：2 step:231/470 loss：0.382928 2021-08-04 15:34:20,076 - INFO - main.py - train - 75 - 【train】 epoch：2 step:232/470 loss：0.297395 2021-08-04 15:34:20,336 - INFO - main.py - train - 75 - 【train】 epoch：2 step:233/470 loss：0.266469 2021-08-04 15:34:20,597 - INFO - main.py - train - 75 - 【train】 epoch：2 step:234/470 loss：0.650385 2021-08-04 15:34:20,857 - INFO - main.py - train - 75 - 【train】 epoch：2 step:235/470 loss：0.349249 2021-08-04 15:34:21,103 - INFO - main.py - train - 75 - 【train】 epoch：2 step:236/470 loss：0.457274 2021-08-04 15:34:21,360 - INFO - main.py - train - 75 - 【train】 epoch：2 step:237/470 loss：0.375271 2021-08-04 15:34:21,619 - INFO - main.py - train - 75 - 【train】 epoch：2 step:238/470 loss：0.266901 2021-08-04 15:34:21,880 - INFO - main.py - train - 75 - 【train】 epoch：2 step:239/470 loss：0.244297 2021-08-04 15:34:22,141 - INFO - main.py - train - 75 - 【train】 epoch：2 step:240/470 loss：0.577383 2021-08-04 15:34:22,399 - INFO - main.py - train - 75 - 【train】 epoch：2 step:241/470 loss：0.314944 2021-08-04 15:34:22,660 - INFO - main.py - train - 75 - 【train】 epoch：2 step:242/470 loss：0.419398 2021-08-04 15:34:22,917 - INFO - main.py - train - 75 - 【train】 epoch：2 step:243/470 loss：0.571065 2021-08-04 15:34:23,175 - INFO - main.py - train - 75 - 【train】 epoch：2 step:244/470 loss：0.333342 2021-08-04 15:34:23,434 - INFO - main.py - train - 75 - 【train】 epoch：2 step:245/470 loss：0.257433 2021-08-04 15:34:23,695 - INFO - main.py - train - 75 - 【train】 epoch：2 step:246/470 loss：0.558760 2021-08-04 15:34:23,956 - INFO - main.py - train - 75 - 【train】 epoch：2 step:247/470 loss：0.170121 2021-08-04 15:34:24,215 - INFO - main.py - train - 75 - 【train】 epoch：2 step:248/470 loss：0.564137 2021-08-04 15:34:24,476 - INFO - main.py - train - 75 - 【train】 epoch：2 step:249/470 loss：0.277215 2021-08-04 15:34:24,737 - INFO - main.py - train - 75 - 【train】 epoch：2 step:250/470 loss：0.273991 2021-08-04 15:34:24,996 - INFO - main.py - train - 75 - 【train】 epoch：2 step:251/470 loss：0.622529 2021-08-04 15:34:25,258 - INFO - main.py - train - 75 - 【train】 epoch：2 step:252/470 loss：0.413243 2021-08-04 15:34:25,520 - INFO - main.py - train - 75 - 【train】 epoch：2 step:253/470 loss：0.556466 2021-08-04 15:34:25,780 - INFO - main.py - train - 75 - 【train】 epoch：2 step:254/470 loss：0.428114 2021-08-04 15:34:26,040 - INFO - main.py - train - 75 - 【train】 epoch：2 step:255/470 loss：0.637849 2021-08-04 15:34:26,303 - INFO - main.py - train - 75 - 【train】 epoch：2 step:256/470 loss：0.209854 2021-08-04 15:34:26,562 - INFO - main.py - train - 75 - 【train】 epoch：2 step:257/470 loss：0.314124 2021-08-04 15:34:26,821 - INFO - main.py - train - 75 - 【train】 epoch：2 step:258/470 loss：0.288980 2021-08-04 15:34:27,083 - INFO - main.py - train - 75 - 【train】 epoch：2 step:259/470 loss：0.194449 2021-08-04 15:34:27,337 - INFO - main.py - train - 75 - 【train】 epoch：2 step:260/470 loss：0.176463 2021-08-04 15:34:27,599 - INFO - main.py - train - 75 - 【train】 epoch：2 step:261/470 loss：0.341441 2021-08-04 15:34:27,860 - INFO - main.py - train - 75 - 【train】 epoch：2 step:262/470 loss：0.225721 2021-08-04 15:34:28,122 - INFO - main.py - train - 75 - 【train】 epoch：2 step:263/470 loss：0.204130 2021-08-04 15:34:28,385 - INFO - main.py - train - 75 - 【train】 epoch：2 step:264/470 loss：0.326435 2021-08-04 15:34:28,645 - INFO - main.py - train - 75 - 【train】 epoch：2 step:265/470 loss：0.310153 2021-08-04 15:34:28,907 - INFO - main.py - train - 75 - 【train】 epoch：2 step:266/470 loss：0.204653 2021-08-04 15:34:29,168 - INFO - main.py - train - 75 - 【train】 epoch：2 step:267/470 loss：0.262877 2021-08-04 15:34:29,429 - INFO - main.py - train - 75 - 【train】 epoch：2 step:268/470 loss：0.194055 2021-08-04 15:34:29,691 - INFO - main.py - train - 75 - 【train】 epoch：2 step:269/470 loss：0.350361 2021-08-04 15:34:29,952 - INFO - main.py - train - 75 - 【train】 epoch：2 step:270/470 loss：0.425753 2021-08-04 15:34:30,214 - INFO - main.py - train - 75 - 【train】 epoch：2 step:271/470 loss：0.281631 2021-08-04 15:34:30,474 - INFO - main.py - train - 75 - 【train】 epoch：2 step:272/470 loss：0.486735 2021-08-04 15:34:30,737 - INFO - main.py - train - 75 - 【train】 epoch：2 step:273/470 loss：0.373558 2021-08-04 15:34:31,000 - INFO - main.py - train - 75 - 【train】 epoch：2 step:274/470 loss：0.481921 2021-08-04 15:34:31,262 - INFO - main.py - train - 75 - 【train】 epoch：2 step:275/470 loss：0.284124 2021-08-04 15:34:31,523 - INFO - main.py - train - 75 - 【train】 epoch：2 step:276/470 loss：0.214148 2021-08-04 15:34:31,784 - INFO - main.py - train - 75 - 【train】 epoch：2 step:277/470 loss：0.245884 2021-08-04 15:34:32,045 - INFO - main.py - train - 75 - 【train】 epoch：2 step:278/470 loss：0.299513 2021-08-04 15:34:32,306 - INFO - main.py - train - 75 - 【train】 epoch：2 step:279/470 loss：0.264003 2021-08-04 15:34:32,567 - INFO - main.py - train - 75 - 【train】 epoch：2 step:280/470 loss：0.293354 2021-08-04 15:34:32,821 - INFO - main.py - train - 75 - 【train】 epoch：2 step:281/470 loss：0.152250 2021-08-04 15:34:33,241 - INFO - main.py - train - 75 - 【train】 epoch：3 step:282/470 loss：0.146225 2021-08-04 15:34:33,502 - INFO - main.py - train - 75 - 【train】 epoch：3 step:283/470 loss：0.196238 2021-08-04 15:34:33,761 - INFO - main.py - train - 75 - 【train】 epoch：3 step:284/470 loss：0.102161 2021-08-04 15:34:34,022 - INFO - main.py - train - 75 - 【train】 epoch：3 step:285/470 loss：0.114350 2021-08-04 15:34:34,283 - INFO - main.py - train - 75 - 【train】 epoch：3 step:286/470 loss：0.290053 2021-08-04 15:34:34,546 - INFO - main.py - train - 75 - 【train】 epoch：3 step:287/470 loss：0.341741 2021-08-04 15:34:34,807 - INFO - main.py - train - 75 - 【train】 epoch：3 step:288/470 loss：0.291063 2021-08-04 15:34:35,068 - INFO - main.py - train - 75 - 【train】 epoch：3 step:289/470 loss：0.111773 2021-08-04 15:34:35,332 - INFO - main.py - train - 75 - 【train】 epoch：3 step:290/470 loss：0.213460 2021-08-04 15:34:35,594 - INFO - main.py - train - 75 - 【train】 epoch：3 step:291/470 loss：0.146827 2021-08-04 15:34:35,857 - INFO - main.py - train - 75 - 【train】 epoch：3 step:292/470 loss：0.202793 2021-08-04 15:34:36,117 - INFO - main.py - train - 75 - 【train】 epoch：3 step:293/470 loss：0.134079 2021-08-04 15:34:36,378 - INFO - main.py - train - 75 - 【train】 epoch：3 step:294/470 loss：0.192616 2021-08-04 15:34:36,640 - INFO - main.py - train - 75 - 【train】 epoch：3 step:295/470 loss：0.304859 2021-08-04 15:34:36,902 - INFO - main.py - train - 75 - 【train】 epoch：3 step:296/470 loss：0.097416 2021-08-04 15:34:37,163 - INFO - main.py - train - 75 - 【train】 epoch：3 step:297/470 loss：0.248669 2021-08-04 15:34:37,424 - INFO - main.py - train - 75 - 【train】 epoch：3 step:298/470 loss：0.120911 2021-08-04 15:34:37,685 - INFO - main.py - train - 75 - 【train】 epoch：3 step:299/470 loss：0.135606 2021-08-04 15:34:39,675 - INFO - main.py - train - 81 - 【dev】 loss：12.885277 accuracy：0.8351 micro_f1：0.8351 macro_f1：0.8370 2021-08-04 15:34:39,675 - INFO - main.py - train - 83 - ------------>保存当前最好的模型 2021-08-04 15:34:42,461 - INFO - main.py - train - 75 - 【train】 epoch：3 step:300/470 loss：0.241401 2021-08-04 15:34:42,723 - INFO - main.py - train - 75 - 【train】 epoch：3 step:301/470 loss：0.141174 2021-08-04 15:34:42,982 - INFO - main.py - train - 75 - 【train】 epoch：3 step:302/470 loss：0.095722 2021-08-04 15:34:43,242 - INFO - main.py - train - 75 - 【train】 epoch：3 step:303/470 loss：0.136792 2021-08-04 15:34:43,503 - INFO - main.py - train - 75 - 【train】 epoch：3 step:304/470 loss：0.226902 2021-08-04 15:34:43,765 - INFO - main.py - train - 75 - 【train】 epoch：3 step:305/470 loss：0.279563 2021-08-04 15:34:44,026 - INFO - main.py - train - 75 - 【train】 epoch：3 step:306/470 loss：0.075608 2021-08-04 15:34:44,288 - INFO - main.py - train - 75 - 【train】 epoch：3 step:307/470 loss：0.192006 2021-08-04 15:34:44,550 - INFO - main.py - train - 75 - 【train】 epoch：3 step:308/470 loss：0.275100 2021-08-04 15:34:44,810 - INFO - main.py - train - 75 - 【train】 epoch：3 step:309/470 loss：0.236953 2021-08-04 15:34:45,073 - INFO - main.py - train - 75 - 【train】 epoch：3 step:310/470 loss：0.082855 2021-08-04 15:34:45,335 - INFO - main.py - train - 75 - 【train】 epoch：3 step:311/470 loss：0.209164 2021-08-04 15:34:45,595 - INFO - main.py - train - 75 - 【train】 epoch：3 step:312/470 loss：0.181077 2021-08-04 15:34:45,858 - INFO - main.py - train - 75 - 【train】 epoch：3 step:313/470 loss：0.134428 2021-08-04 15:34:46,116 - INFO - main.py - train - 75 - 【train】 epoch：3 step:314/470 loss：0.150201 2021-08-04 15:34:46,378 - INFO - main.py - train - 75 - 【train】 epoch：3 step:315/470 loss：0.156221 2021-08-04 15:34:46,640 - INFO - main.py - train - 75 - 【train】 epoch：3 step:316/470 loss：0.131884 2021-08-04 15:34:46,902 - INFO - main.py - train - 75 - 【train】 epoch：3 step:317/470 loss：0.268115 2021-08-04 15:34:47,162 - INFO - main.py - train - 75 - 【train】 epoch：3 step:318/470 loss：0.381665 2021-08-04 15:34:47,423 - INFO - main.py - train - 75 - 【train】 epoch：3 step:319/470 loss：0.316453 2021-08-04 15:34:47,685 - INFO - main.py - train - 75 - 【train】 epoch：3 step:320/470 loss：0.098074 2021-08-04 15:34:47,948 - INFO - main.py - train - 75 - 【train】 epoch：3 step:321/470 loss：0.133532 2021-08-04 15:34:48,210 - INFO - main.py - train - 75 - 【train】 epoch：3 step:322/470 loss：0.377547 2021-08-04 15:34:48,473 - INFO - main.py - train - 75 - 【train】 epoch：3 step:323/470 loss：0.217729 2021-08-04 15:34:48,736 - INFO - main.py - train - 75 - 【train】 epoch：3 step:324/470 loss：0.048165 2021-08-04 15:34:48,999 - INFO - main.py - train - 75 - 【train】 epoch：3 step:325/470 loss：0.132982 2021-08-04 15:34:49,262 - INFO - main.py - train - 75 - 【train】 epoch：3 step:326/470 loss：0.086961 2021-08-04 15:34:49,525 - INFO - main.py - train - 75 - 【train】 epoch：3 step:327/470 loss：0.184471 2021-08-04 15:34:49,788 - INFO - main.py - train - 75 - 【train】 epoch：3 step:328/470 loss：0.115445 2021-08-04 15:34:50,061 - INFO - main.py - train - 75 - 【train】 epoch：3 step:329/470 loss：0.114241 2021-08-04 15:34:50,335 - INFO - main.py - train - 75 - 【train】 epoch：3 step:330/470 loss：0.109636 2021-08-04 15:34:50,603 - INFO - main.py - train - 75 - 【train】 epoch：3 step:331/470 loss：0.231444 2021-08-04 15:34:50,875 - INFO - main.py - train - 75 - 【train】 epoch：3 step:332/470 loss：0.146481 2021-08-04 15:34:51,147 - INFO - main.py - train - 75 - 【train】 epoch：3 step:333/470 loss：0.079509 2021-08-04 15:34:51,415 - INFO - main.py - train - 75 - 【train】 epoch：3 step:334/470 loss：0.366365 2021-08-04 15:34:51,685 - INFO - main.py - train - 75 - 【train】 epoch：3 step:335/470 loss：0.236961 2021-08-04 15:34:51,952 - INFO - main.py - train - 75 - 【train】 epoch：3 step:336/470 loss：0.161041 2021-08-04 15:34:52,220 - INFO - main.py - train - 75 - 【train】 epoch：3 step:337/470 loss：0.205868 2021-08-04 15:34:52,490 - INFO - main.py - train - 75 - 【train】 epoch：3 step:338/470 loss：0.069198 2021-08-04 15:34:52,758 - INFO - main.py - train - 75 - 【train】 epoch：3 step:339/470 loss：0.188243 2021-08-04 15:34:53,026 - INFO - main.py - train - 75 - 【train】 epoch：3 step:340/470 loss：0.224852 2021-08-04 15:34:53,293 - INFO - main.py - train - 75 - 【train】 epoch：3 step:341/470 loss：0.218377 2021-08-04 15:34:53,570 - INFO - main.py - train - 75 - 【train】 epoch：3 step:342/470 loss：0.229029 2021-08-04 15:34:53,848 - INFO - main.py - train - 75 - 【train】 epoch：3 step:343/470 loss：0.290032 2021-08-04 15:34:54,119 - INFO - main.py - train - 75 - 【train】 epoch：3 step:344/470 loss：0.304086 2021-08-04 15:34:54,394 - INFO - main.py - train - 75 - 【train】 epoch：3 step:345/470 loss：0.220928 2021-08-04 15:34:54,672 - INFO - main.py - train - 75 - 【train】 epoch：3 step:346/470 loss：0.225461 2021-08-04 15:34:54,942 - INFO - main.py - train - 75 - 【train】 epoch：3 step:347/470 loss：0.085172 2021-08-04 15:34:55,216 - INFO - main.py - train - 75 - 【train】 epoch：3 step:348/470 loss：0.439942 2021-08-04 15:34:55,488 - INFO - main.py - train - 75 - 【train】 epoch：3 step:349/470 loss：0.082181 2021-08-04 15:34:55,758 - INFO - main.py - train - 75 - 【train】 epoch：3 step:350/470 loss：0.339141 2021-08-04 15:34:56,030 - INFO - main.py - train - 75 - 【train】 epoch：3 step:351/470 loss：0.343011 2021-08-04 15:34:56,298 - INFO - main.py - train - 75 - 【train】 epoch：3 step:352/470 loss：0.212233 2021-08-04 15:34:56,566 - INFO - main.py - train - 75 - 【train】 epoch：3 step:353/470 loss：0.645265 2021-08-04 15:34:56,844 - INFO - main.py - train - 75 - 【train】 epoch：3 step:354/470 loss：0.243257 2021-08-04 15:34:57,123 - INFO - main.py - train - 75 - 【train】 epoch：3 step:355/470 loss：0.286971 2021-08-04 15:34:57,405 - INFO - main.py - train - 75 - 【train】 epoch：3 step:356/470 loss：0.129610 2021-08-04 15:34:57,684 - INFO - main.py - train - 75 - 【train】 epoch：3 step:357/470 loss：0.213925 2021-08-04 15:34:57,960 - INFO - main.py - train - 75 - 【train】 epoch：3 step:358/470 loss：0.099300 2021-08-04 15:34:58,249 - INFO - main.py - train - 75 - 【train】 epoch：3 step:359/470 loss：0.244696 2021-08-04 15:34:58,522 - INFO - main.py - train - 75 - 【train】 epoch：3 step:360/470 loss：0.305884 2021-08-04 15:34:58,795 - INFO - main.py - train - 75 - 【train】 epoch：3 step:361/470 loss：0.247971 2021-08-04 15:34:59,071 - INFO - main.py - train - 75 - 【train】 epoch：3 step:362/470 loss：0.242848 2021-08-04 15:34:59,342 - INFO - main.py - train - 75 - 【train】 epoch：3 step:363/470 loss：0.132171 2021-08-04 15:34:59,617 - INFO - main.py - train - 75 - 【train】 epoch：3 step:364/470 loss：0.178667 2021-08-04 15:34:59,895 - INFO - main.py - train - 75 - 【train】 epoch：3 step:365/470 loss：0.182651 2021-08-04 15:35:00,168 - INFO - main.py - train - 75 - 【train】 epoch：3 step:366/470 loss：0.374174 2021-08-04 15:35:00,443 - INFO - main.py - train - 75 - 【train】 epoch：3 step:367/470 loss：0.282753 2021-08-04 15:35:00,714 - INFO - main.py - train - 75 - 【train】 epoch：3 step:368/470 loss：0.416077 2021-08-04 15:35:00,993 - INFO - main.py - train - 75 - 【train】 epoch：3 step:369/470 loss：0.354872 2021-08-04 15:35:01,266 - INFO - main.py - train - 75 - 【train】 epoch：3 step:370/470 loss：0.433341 2021-08-04 15:35:01,541 - INFO - main.py - train - 75 - 【train】 epoch：3 step:371/470 loss：0.143918 2021-08-04 15:35:01,820 - INFO - main.py - train - 75 - 【train】 epoch：3 step:372/470 loss：0.347588 2021-08-04 15:35:02,099 - INFO - main.py - train - 75 - 【train】 epoch：3 step:373/470 loss：0.450559 2021-08-04 15:35:02,374 - INFO - main.py - train - 75 - 【train】 epoch：3 step:374/470 loss：0.393457 2021-08-04 15:35:02,643 - INFO - main.py - train - 75 - 【train】 epoch：3 step:375/470 loss：0.186782 2021-08-04 15:35:03,041 - INFO - main.py - train - 75 - 【train】 epoch：4 step:376/470 loss：0.096129 2021-08-04 15:35:03,312 - INFO - main.py - train - 75 - 【train】 epoch：4 step:377/470 loss：0.103806 2021-08-04 15:35:03,584 - INFO - main.py - train - 75 - 【train】 epoch：4 step:378/470 loss：0.164408 2021-08-04 15:35:03,860 - INFO - main.py - train - 75 - 【train】 epoch：4 step:379/470 loss：0.218333 2021-08-04 15:35:04,142 - INFO - main.py - train - 75 - 【train】 epoch：4 step:380/470 loss：0.072581 2021-08-04 15:35:04,420 - INFO - main.py - train - 75 - 【train】 epoch：4 step:381/470 loss：0.168256 2021-08-04 15:35:04,700 - INFO - main.py - train - 75 - 【train】 epoch：4 step:382/470 loss：0.246784 2021-08-04 15:35:04,982 - INFO - main.py - train - 75 - 【train】 epoch：4 step:383/470 loss：0.115240 2021-08-04 15:35:05,262 - INFO - main.py - train - 75 - 【train】 epoch：4 step:384/470 loss：0.125899 2021-08-04 15:35:05,541 - INFO - main.py - train - 75 - 【train】 epoch：4 step:385/470 loss：0.053512 2021-08-04 15:35:05,823 - INFO - main.py - train - 75 - 【train】 epoch：4 step:386/470 loss：0.143842 2021-08-04 15:35:06,101 - INFO - main.py - train - 75 - 【train】 epoch：4 step:387/470 loss：0.097618 2021-08-04 15:35:06,379 - INFO - main.py - train - 75 - 【train】 epoch：4 step:388/470 loss：0.088412 2021-08-04 15:35:06,660 - INFO - main.py - train - 75 - 【train】 epoch：4 step:389/470 loss：0.107137 2021-08-04 15:35:06,937 - INFO - main.py - train - 75 - 【train】 epoch：4 step:390/470 loss：0.161087 2021-08-04 15:35:07,214 - INFO - main.py - train - 75 - 【train】 epoch：4 step:391/470 loss：0.061219 2021-08-04 15:35:07,497 - INFO - main.py - train - 75 - 【train】 epoch：4 step:392/470 loss：0.135402 2021-08-04 15:35:07,778 - INFO - main.py - train - 75 - 【train】 epoch：4 step:393/470 loss：0.081936 2021-08-04 15:35:08,060 - INFO - main.py - train - 75 - 【train】 epoch：4 step:394/470 loss：0.254629 2021-08-04 15:35:08,342 - INFO - main.py - train - 75 - 【train】 epoch：4 step:395/470 loss：0.111990 2021-08-04 15:35:08,623 - INFO - main.py - train - 75 - 【train】 epoch：4 step:396/470 loss：0.189344 2021-08-04 15:35:08,906 - INFO - main.py - train - 75 - 【train】 epoch：4 step:397/470 loss：0.167665 2021-08-04 15:35:09,190 - INFO - main.py - train - 75 - 【train】 epoch：4 step:398/470 loss：0.097101 2021-08-04 15:35:09,470 - INFO - main.py - train - 75 - 【train】 epoch：4 step:399/470 loss：0.114712 2021-08-04 15:35:11,669 - INFO - main.py - train - 81 - 【dev】 loss：13.144311 accuracy：0.8471 micro_f1：0.8471 macro_f1：0.8480 2021-08-04 15:35:11,670 - INFO - main.py - train - 83 - ------------>保存当前最好的模型 2021-08-04 15:35:14,292 - INFO - main.py - train - 75 - 【train】 epoch：4 step:400/470 loss：0.167344 2021-08-04 15:35:14,557 - INFO - main.py - train - 75 - 【train】 epoch：4 step:401/470 loss：0.143445 2021-08-04 15:35:14,820 - INFO - main.py - train - 75 - 【train】 epoch：4 step:402/470 loss：0.054750 2021-08-04 15:35:15,083 - INFO - main.py - train - 75 - 【train】 epoch：4 step:403/470 loss：0.072473 2021-08-04 15:35:15,344 - INFO - main.py - train - 75 - 【train】 epoch：4 step:404/470 loss：0.224353 2021-08-04 15:35:15,607 - INFO - main.py - train - 75 - 【train】 epoch：4 step:405/470 loss：0.039386 2021-08-04 15:35:15,879 - INFO - main.py - train - 75 - 【train】 epoch：4 step:406/470 loss：0.280049 2021-08-04 15:35:16,158 - INFO - main.py - train - 75 - 【train】 epoch：4 step:407/470 loss：0.230258 2021-08-04 15:35:16,440 - INFO - main.py - train - 75 - 【train】 epoch：4 step:408/470 loss：0.071256 2021-08-04 15:35:16,721 - INFO - main.py - train - 75 - 【train】 epoch：4 step:409/470 loss：0.105522 2021-08-04 15:35:17,000 - INFO - main.py - train - 75 - 【train】 epoch：4 step:410/470 loss：0.104760 2021-08-04 15:35:17,280 - INFO - main.py - train - 75 - 【train】 epoch：4 step:411/470 loss：0.167319 2021-08-04 15:35:17,555 - INFO - main.py - train - 75 - 【train】 epoch：4 step:412/470 loss：0.065578 2021-08-04 15:35:17,831 - INFO - main.py - train - 75 - 【train】 epoch：4 step:413/470 loss：0.143523 2021-08-04 15:35:18,220 - INFO - main.py - train - 75 - 【train】 epoch：4 step:414/470 loss：0.346469 2021-08-04 15:35:18,569 - INFO - main.py - train - 75 - 【train】 epoch：4 step:415/470 loss：0.044996 2021-08-04 15:35:18,897 - INFO - main.py - train - 75 - 【train】 epoch：4 step:416/470 loss：0.250417 2021-08-04 15:35:19,211 - INFO - main.py - train - 75 - 【train】 epoch：4 step:417/470 loss：0.120027 2021-08-04 15:35:19,514 - INFO - main.py - train - 75 - 【train】 epoch：4 step:418/470 loss：0.079613 2021-08-04 15:35:19,810 - INFO - main.py - train - 75 - 【train】 epoch：4 step:419/470 loss：0.063721 2021-08-04 15:35:20,101 - INFO - main.py - train - 75 - 【train】 epoch：4 step:420/470 loss：0.048258 2021-08-04 15:35:20,387 - INFO - main.py - train - 75 - 【train】 epoch：4 step:421/470 loss：0.077654 2021-08-04 15:35:20,672 - INFO - main.py - train - 75 - 【train】 epoch：4 step:422/470 loss：0.263799 2021-08-04 15:35:20,954 - INFO - main.py - train - 75 - 【train】 epoch：4 step:423/470 loss：0.108429 2021-08-04 15:35:21,234 - INFO - main.py - train - 75 - 【train】 epoch：4 step:424/470 loss：0.084620 2021-08-04 15:35:21,512 - INFO - main.py - train - 75 - 【train】 epoch：4 step:425/470 loss：0.155358 2021-08-04 15:35:21,791 - INFO - main.py - train - 75 - 【train】 epoch：4 step:426/470 loss：0.093936 2021-08-04 15:35:22,071 - INFO - main.py - train - 75 - 【train】 epoch：4 step:427/470 loss：0.178161 2021-08-04 15:35:22,352 - INFO - main.py - train - 75 - 【train】 epoch：4 step:428/470 loss：0.040611 2021-08-04 15:35:22,629 - INFO - main.py - train - 75 - 【train】 epoch：4 step:429/470 loss：0.110379 2021-08-04 15:35:22,910 - INFO - main.py - train - 75 - 【train】 epoch：4 step:430/470 loss：0.207484 2021-08-04 15:35:23,185 - INFO - main.py - train - 75 - 【train】 epoch：4 step:431/470 loss：0.097321 2021-08-04 15:35:23,465 - INFO - main.py - train - 75 - 【train】 epoch：4 step:432/470 loss：0.023609 2021-08-04 15:35:23,747 - INFO - main.py - train - 75 - 【train】 epoch：4 step:433/470 loss：0.122400 2021-08-04 15:35:24,028 - INFO - main.py - train - 75 - 【train】 epoch：4 step:434/470 loss：0.067449 2021-08-04 15:35:24,308 - INFO - main.py - train - 75 - 【train】 epoch：4 step:435/470 loss：0.123231 2021-08-04 15:35:24,591 - INFO - main.py - train - 75 - 【train】 epoch：4 step:436/470 loss：0.071567 2021-08-04 15:35:24,872 - INFO - main.py - train - 75 - 【train】 epoch：4 step:437/470 loss：0.052467 2021-08-04 15:35:25,154 - INFO - main.py - train - 75 - 【train】 epoch：4 step:438/470 loss：0.115426 2021-08-04 15:35:25,435 - INFO - main.py - train - 75 - 【train】 epoch：4 step:439/470 loss：0.113067 2021-08-04 15:35:25,714 - INFO - main.py - train - 75 - 【train】 epoch：4 step:440/470 loss：0.147941 2021-08-04 15:35:25,994 - INFO - main.py - train - 75 - 【train】 epoch：4 step:441/470 loss：0.099484 2021-08-04 15:35:26,269 - INFO - main.py - train - 75 - 【train】 epoch：4 step:442/470 loss：0.272160 2021-08-04 15:35:26,552 - INFO - main.py - train - 75 - 【train】 epoch：4 step:443/470 loss：0.182558 2021-08-04 15:35:26,844 - INFO - main.py - train - 75 - 【train】 epoch：4 step:444/470 loss：0.190531 2021-08-04 15:35:27,136 - INFO - main.py - train - 75 - 【train】 epoch：4 step:445/470 loss：0.050026 2021-08-04 15:35:27,428 - INFO - main.py - train - 75 - 【train】 epoch：4 step:446/470 loss：0.042639 2021-08-04 15:35:27,715 - INFO - main.py - train - 75 - 【train】 epoch：4 step:447/470 loss：0.082379 2021-08-04 15:35:28,004 - INFO - main.py - train - 75 - 【train】 epoch：4 step:448/470 loss：0.062063 2021-08-04 15:35:28,291 - INFO - main.py - train - 75 - 【train】 epoch：4 step:449/470 loss：0.059756 2021-08-04 15:35:28,577 - INFO - main.py - train - 75 - 【train】 epoch：4 step:450/470 loss：0.054900 2021-08-04 15:35:28,862 - INFO - main.py - train - 75 - 【train】 epoch：4 step:451/470 loss：0.193163 2021-08-04 15:35:29,148 - INFO - main.py - train - 75 - 【train】 epoch：4 step:452/470 loss：0.365656 2021-08-04 15:35:29,430 - INFO - main.py - train - 75 - 【train】 epoch：4 step:453/470 loss：0.111759 2021-08-04 15:35:29,716 - INFO - main.py - train - 75 - 【train】 epoch：4 step:454/470 loss：0.084129 2021-08-04 15:35:30,002 - INFO - main.py - train - 75 - 【train】 epoch：4 step:455/470 loss：0.064618 2021-08-04 15:35:30,286 - INFO - main.py - train - 75 - 【train】 epoch：4 step:456/470 loss：0.027826 2021-08-04 15:35:30,568 - INFO - main.py - train - 75 - 【train】 epoch：4 step:457/470 loss：0.101930 2021-08-04 15:35:30,853 - INFO - main.py - train - 75 - 【train】 epoch：4 step:458/470 loss：0.158700 2021-08-04 15:35:31,136 - INFO - main.py - train - 75 - 【train】 epoch：4 step:459/470 loss：0.245508 2021-08-04 15:35:31,421 - INFO - main.py - train - 75 - 【train】 epoch：4 step:460/470 loss：0.097300 2021-08-04 15:35:31,705 - INFO - main.py - train - 75 - 【train】 epoch：4 step:461/470 loss：0.040740 2021-08-04 15:35:31,986 - INFO - main.py - train - 75 - 【train】 epoch：4 step:462/470 loss：0.306552 2021-08-04 15:35:32,269 - INFO - main.py - train - 75 - 【train】 epoch：4 step:463/470 loss：0.217622 2021-08-04 15:35:32,563 - INFO - main.py - train - 75 - 【train】 epoch：4 step:464/470 loss：0.168980 2021-08-04 15:35:32,859 - INFO - main.py - train - 75 - 【train】 epoch：4 step:465/470 loss：0.126561 2021-08-04 15:35:33,152 - INFO - main.py - train - 75 - 【train】 epoch：4 step:466/470 loss：0.053993 2021-08-04 15:35:33,441 - INFO - main.py - train - 75 - 【train】 epoch：4 step:467/470 loss：0.035806 2021-08-04 15:35:33,731 - INFO - main.py - train - 75 - 【train】 epoch：4 step:468/470 loss：0.085423 2021-08-04 15:35:34,015 - INFO - main.py - train - 75 - 【train】 epoch：4 step:469/470 loss：0.289002 2021-08-04 15:35:34,074 - INFO - main.py - - 225 - ========进行测试======== 2021-08-04 15:35:36,837 - INFO - main.py - - 230 - 【test】 loss：13.144311 accuracy：0.8471 micro_f1：0.8471 macro_f1：0.8480 2021-08-04 15:35:36,847 - INFO - main.py - - 232 - precision recall f1-score support unknown 0.78 0.81 0.80 197 夫妻 0.88 0.84 0.86 69 父母 0.92 0.90 0.91 132 兄弟姐妹 0.81 0.92 0.86 38 上下级 0.83 0.62 0.71 32 师生 0.82 0.86 0.84 42 好友 0.90 0.75 0.82 24 同学 0.96 0.90 0.93 29 合作 0.83 0.92 0.88 53 同人 0.94 0.87 0.91 39 情侣 0.95 0.74 0.83 27 祖孙 0.86 0.86 0.86 22 同门 0.84 0.95 0.89 22 亲戚 0.71 0.85 0.77 26 accuracy 0.85 752 macro avg 0.86 0.84 0.85 752 weighted avg 0.85 0.85 0.85 752 2021-08-04 15:55:24,535 - INFO - main.py - - 247 - 时湖南巡#抚骆秉#章命席保田募兵，苏元春与长兄苏元璋、堂弟苏元瑞即率百余人投湘军$席宝田$部，苏元春被任命为百夫长 2021-08-04 15:55:25,156 - INFO - main.py - - 251 - ========================== 2021-08-04 15:55:25,157 - INFO - main.py - - 247 - 时湖南巡抚骆秉章命席保田募兵，苏元春与长兄#苏元璋#、堂弟苏元瑞即率百余人投湘军$席宝田$部，苏元春被任命为百夫长 2021-08-04 15:55:25,751 - INFO - main.py - - 251 - ========================== 2021-08-04 15:55:25,751 - INFO - main.py - - 247 - 1月1日，有法制官方账号在短视频平台透露了#李双江#之子$李天一$的近况。 2021-08-04 15:55:26,337 - INFO - main.py - - 251 - ========================== 2021-08-04 15:55:26,337 - INFO - main.py - - 247 - 幼年家贫，只能参加贵格会的学校，富裕的教师#鲁宾孙#很喜欢$道尔顿$，允许他阅读自己的书和期刊。 2021-08-04 15:55:26,922 - INFO - main.py - - 251 - ========================== 2021-08-04 15:55:26,922 - INFO - main.py - - 247 - 1537年，#亨利八世#和他的第三个王后$简·西摩$生了一个男孩：爱德华（后来的爱德华六世）。 2021-08-04 15:55:27,506 - INFO - main.py - - 251 - ========================== 2021-08-04 15:55:27,506 - INFO - main.py - - 247 - 1544年，伊丽莎白年迈的父亲#亨利#最终娶了在宫廷任职的$凯瑟琳·帕尔$为他的第六任妻子。 2021-08-04 15:55:28,090 - INFO - main.py - - 251 - ========================== 2021-08-04 15:55:55,893 - INFO - main.py - - 247 - 时湖南巡#抚骆秉#章命席保田募兵，苏元春与长兄苏元璋、堂弟苏元瑞即率百余人投湘军$席宝田$部，苏元春被任命为百夫长 2021-08-04 15:56:30,282 - INFO - main.py - - 247 - 时湖南巡#抚骆秉#章命席保田募兵，苏元春与长兄苏元璋、堂弟苏元瑞即率百余人投湘军$席宝田$部，苏元春被任命为百夫长 2021-08-04 15:56:30,891 - INFO - main.py - - 249 - 预测标签：unknown 2021-08-04 15:56:30,891 - INFO - main.py - - 250 - 真实标签：unknown 2021-08-04 15:56:30,891 - INFO - main.py - - 251 - ========================== 2021-08-04 15:56:30,891 - INFO - main.py - - 247 - 时湖南巡抚骆秉章命席保田募兵，苏元春与长兄#苏元璋#、堂弟苏元瑞即率百余人投湘军$席宝田$部，苏元春被任命为百夫长 2021-08-04 15:56:31,480 - INFO - main.py - - 249 - 预测标签：上下级 2021-08-04 15:56:31,480 - INFO - main.py - - 250 - 真实标签：上下级 2021-08-04 15:56:31,480 - INFO - main.py - - 251 - ========================== 2021-08-04 15:56:31,480 - INFO - main.py - - 247 - 1月1日，有法制官方账号在短视频平台透露了#李双江#之子$李天一$的近况。 2021-08-04 15:56:32,063 - INFO - main.py - - 249 - 预测标签：父母 2021-08-04 15:56:32,063 - INFO - main.py - - 250 - 真实标签：父母 2021-08-04 15:56:32,063 - INFO - main.py - - 251 - ========================== 2021-08-04 15:56:32,063 - INFO - main.py - - 247 - 幼年家贫，只能参加贵格会的学校，富裕的教师#鲁宾孙#很喜欢$道尔顿$，允许他阅读自己的书和期刊。 2021-08-04 15:56:32,644 - INFO - main.py - - 249 - 预测标签：unknown 2021-08-04 15:56:32,644 - INFO - main.py - - 250 - 真实标签：师生 2021-08-04 15:56:32,644 - INFO - main.py - - 251 - ========================== 2021-08-04 15:56:32,644 - INFO - main.py - - 247 - 1537年，#亨利八世#和他的第三个王后$简·西摩$生了一个男孩：爱德华（后来的爱德华六世）。 2021-08-04 15:56:33,229 - INFO - main.py - - 249 - 预测标签：夫妻 2021-08-04 15:56:33,229 - INFO - main.py - - 250 - 真实标签：夫妻 2021-08-04 15:56:33,229 - INFO - main.py - - 251 - ========================== 2021-08-04 15:56:33,229 - INFO - main.py - - 247 - 1544年，伊丽莎白年迈的父亲#亨利#最终娶了在宫廷任职的$凯瑟琳·帕尔$为他的第六任妻子。 2021-08-04 15:56:33,811 - INFO - main.py - - 249 - 预测标签：夫妻 2021-08-04 15:56:33,811 - INFO - main.py - - 250 - 真实标签：夫妻 2021-08-04 15:56:33,811 - INFO - main.py - - 251 - ========================== 2021-08-21 02:10:26,449 - INFO - main.py - train - 77 - 【train】 epoch：0 step:0/53721 loss：4.167432 2021-08-21 02:10:27,240 - INFO - main.py - train - 77 - 【train】 epoch：0 step:1/53721 loss：3.472704 2021-08-21 02:10:27,640 - INFO - main.py - train - 77 - 【train】 epoch：0 step:2/53721 loss：3.891881 2021-08-21 02:10:28,054 - INFO - main.py - train - 77 - 【train】 epoch：0 step:3/53721 loss：3.659402 2021-08-21 02:10:28,455 - INFO - main.py - train - 77 - 【train】 epoch：0 step:4/53721 loss：3.900054 2021-08-21 02:10:28,863 - INFO - main.py - train - 77 - 【train】 epoch：0 step:5/53721 loss：3.446762 2021-08-21 02:10:29,270 - INFO - main.py - train - 77 - 【train】 epoch：0 step:6/53721 loss：4.032391 2021-08-21 02:10:29,674 - INFO - main.py - train - 77 - 【train】 epoch：0 step:7/53721 loss：3.308468 2021-08-21 02:10:30,081 - INFO - main.py - train - 77 - 【train】 epoch：0 step:8/53721 loss：3.933271 2021-08-21 02:10:30,486 - INFO - main.py - train - 77 - 【train】 epoch：0 step:9/53721 loss：3.584045 2021-08-21 02:10:30,893 - INFO - main.py - train - 77 - 【train】 epoch：0 step:10/53721 loss：3.873143 2021-08-21 02:10:31,302 - INFO - main.py - train - 77 - 【train】 epoch：0 step:11/53721 loss：3.648583 2021-08-21 02:10:31,705 - INFO - main.py - train - 77 - 【train】 epoch：0 step:12/53721 loss：3.200859 2021-08-21 02:10:32,110 - INFO - main.py - train - 77 - 【train】 epoch：0 step:13/53721 loss：3.198226 2021-08-21 02:10:32,519 - INFO - main.py - train - 77 - 【train】 epoch：0 step:14/53721 loss：3.665469 2021-08-21 02:10:32,925 - INFO - main.py - train - 77 - 【train】 epoch：0 step:15/53721 loss：3.597754 2021-08-21 02:10:33,332 - INFO - main.py - train - 77 - 【train】 epoch：0 step:16/53721 loss：3.163974 2021-08-21 02:10:33,739 - INFO - main.py - train - 77 - 【train】 epoch：0 step:17/53721 loss：3.073202 2021-08-21 02:10:34,144 - INFO - main.py - train - 77 - 【train】 epoch：0 step:18/53721 loss：4.057916 2021-08-21 02:10:34,553 - INFO - main.py - train - 77 - 【train】 epoch：0 step:19/53721 loss：4.125847 2021-08-21 02:10:34,962 - INFO - main.py - train - 77 - 【train】 epoch：0 step:20/53721 loss：3.628746 2021-08-21 02:10:35,374 - INFO - main.py - train - 77 - 【train】 epoch：0 step:21/53721 loss：3.691664 2021-08-21 02:10:35,782 - INFO - main.py - train - 77 - 【train】 epoch：0 step:22/53721 loss：2.902236 2021-08-21 02:10:36,190 - INFO - main.py - train - 77 - 【train】 epoch：0 step:23/53721 loss：2.852787 2021-08-21 02:10:36,596 - INFO - main.py - train - 77 - 【train】 epoch：0 step:24/53721 loss：3.637309 2021-08-21 02:10:37,002 - INFO - main.py - train - 77 - 【train】 epoch：0 step:25/53721 loss：3.316630 2021-08-21 02:10:37,407 - INFO - main.py - train - 77 - 【train】 epoch：0 step:26/53721 loss：4.124469 2021-08-21 02:10:37,814 - INFO - main.py - train - 77 - 【train】 epoch：0 step:27/53721 loss：3.624541 2021-08-21 02:10:38,221 - INFO - main.py - train - 77 - 【train】 epoch：0 step:28/53721 loss：3.859495 2021-08-21 02:10:38,628 - INFO - main.py - train - 77 - 【train】 epoch：0 step:29/53721 loss：3.468969 2021-08-21 02:10:39,040 - INFO - main.py - train - 77 - 【train】 epoch：0 step:30/53721 loss：2.908794 2021-08-21 02:10:39,452 - INFO - main.py - train - 77 - 【train】 epoch：0 step:31/53721 loss：2.932784 2021-08-21 02:10:39,871 - INFO - main.py - train - 77 - 【train】 epoch：0 step:32/53721 loss：2.873758 2021-08-21 02:10:40,293 - INFO - main.py - train - 77 - 【train】 epoch：0 step:33/53721 loss：2.594962 2021-08-21 02:10:40,700 - INFO - main.py - train - 77 - 【train】 epoch：0 step:34/53721 loss：2.821710 2021-08-21 02:10:41,109 - INFO - main.py - train - 77 - 【train】 epoch：0 step:35/53721 loss：2.652449 2021-08-21 02:10:41,520 - INFO - main.py - train - 77 - 【train】 epoch：0 step:36/53721 loss：2.752363 2021-08-21 02:10:41,927 - INFO - main.py - train - 77 - 【train】 epoch：0 step:37/53721 loss：2.642614 2021-08-21 02:10:42,337 - INFO - main.py - train - 77 - 【train】 epoch：0 step:38/53721 loss：3.370191 2021-08-21 02:10:42,750 - INFO - main.py - train - 77 - 【train】 epoch：0 step:39/53721 loss：2.990853 2021-08-21 02:10:43,161 - INFO - main.py - train - 77 - 【train】 epoch：0 step:40/53721 loss：1.678525 2021-08-21 02:10:43,571 - INFO - main.py - train - 77 - 【train】 epoch：0 step:41/53721 loss：1.350827 2021-08-21 02:10:43,979 - INFO - main.py - train - 77 - 【train】 epoch：0 step:42/53721 loss：2.850718 2021-08-21 02:10:44,395 - INFO - main.py - train - 77 - 【train】 epoch：0 step:43/53721 loss：2.858949 2021-08-21 02:10:44,810 - INFO - main.py - train - 77 - 【train】 epoch：0 step:44/53721 loss：3.216372 2021-08-21 02:10:45,222 - INFO - main.py - train - 77 - 【train】 epoch：0 step:45/53721 loss：3.210772 2021-08-21 02:10:45,638 - INFO - main.py - train - 77 - 【train】 epoch：0 step:46/53721 loss：3.480130 2021-08-21 02:10:46,049 - INFO - main.py - train - 77 - 【train】 epoch：0 step:47/53721 loss：3.250225 2021-08-21 02:12:32,578 - INFO - main.py - train - 77 - 【train】 epoch：0 step:0/53721 loss：4.167432 2021-08-21 02:12:32,986 - INFO - main.py - train - 77 - 【train】 epoch：0 step:1/53721 loss：3.472704 2021-08-21 02:12:33,398 - INFO - main.py - train - 77 - 【train】 epoch：0 step:2/53721 loss：3.891881 2021-08-21 02:12:33,811 - INFO - main.py - train - 77 - 【train】 epoch：0 step:3/53721 loss：3.659402 2021-08-21 02:12:34,218 - INFO - main.py - train - 77 - 【train】 epoch：0 step:4/53721 loss：3.900054 2021-08-21 02:12:34,632 - INFO - main.py - train - 77 - 【train】 epoch：0 step:5/53721 loss：3.446762 2021-08-21 02:12:35,041 - INFO - main.py - train - 77 - 【train】 epoch：0 step:6/53721 loss：4.032391 2021-08-21 02:12:35,449 - INFO - main.py - train - 77 - 【train】 epoch：0 step:7/53721 loss：3.308468 2021-08-21 02:12:35,865 - INFO - main.py - train - 77 - 【train】 epoch：0 step:8/53721 loss：3.933271 2021-08-21 02:12:36,276 - INFO - main.py - train - 77 - 【train】 epoch：0 step:9/53721 loss：3.584045 2021-08-21 02:12:36,696 - INFO - main.py - train - 77 - 【train】 epoch：0 step:10/53721 loss：3.873143 2021-08-21 02:12:37,112 - INFO - main.py - train - 77 - 【train】 epoch：0 step:11/53721 loss：3.648583 2021-08-21 02:12:37,525 - INFO - main.py - train - 77 - 【train】 epoch：0 step:12/53721 loss：3.200859 2021-08-21 02:12:37,938 - INFO - main.py - train - 77 - 【train】 epoch：0 step:13/53721 loss：3.198226 2021-08-21 02:12:38,356 - INFO - main.py - train - 77 - 【train】 epoch：0 step:14/53721 loss：3.665469 2021-08-21 02:12:38,769 - INFO - main.py - train - 77 - 【train】 epoch：0 step:15/53721 loss：3.597754 2021-08-21 02:12:39,188 - INFO - main.py - train - 77 - 【train】 epoch：0 step:16/53721 loss：3.163974 2021-08-21 02:12:39,602 - INFO - main.py - train - 77 - 【train】 epoch：0 step:17/53721 loss：3.073202 2021-08-21 02:12:40,021 - INFO - main.py - train - 77 - 【train】 epoch：0 step:18/53721 loss：4.057916 2021-08-21 02:12:40,436 - INFO - main.py - train - 77 - 【train】 epoch：0 step:19/53721 loss：4.125847 2021-08-21 02:12:40,853 - INFO - main.py - train - 77 - 【train】 epoch：0 step:20/53721 loss：3.628746 2021-08-21 02:12:41,269 - INFO - main.py - train - 77 - 【train】 epoch：0 step:21/53721 loss：3.691664 2021-08-21 02:12:41,685 - INFO - main.py - train - 77 - 【train】 epoch：0 step:22/53721 loss：2.902236 2021-08-21 02:12:42,098 - INFO - main.py - train - 77 - 【train】 epoch：0 step:23/53721 loss：2.852787 2021-08-21 02:12:42,513 - INFO - main.py - train - 77 - 【train】 epoch：0 step:24/53721 loss：3.637309 2021-08-21 02:12:42,926 - INFO - main.py - train - 77 - 【train】 epoch：0 step:25/53721 loss：3.316630 2021-08-21 02:12:43,341 - INFO - main.py - train - 77 - 【train】 epoch：0 step:26/53721 loss：4.124469 2021-08-21 02:12:43,751 - INFO - main.py - train - 77 - 【train】 epoch：0 step:27/53721 loss：3.624541 2021-08-21 02:12:44,167 - INFO - main.py - train - 77 - 【train】 epoch：0 step:28/53721 loss：3.859495 2021-08-21 02:12:44,582 - INFO - main.py - train - 77 - 【train】 epoch：0 step:29/53721 loss：3.468969 2021-08-21 02:12:45,005 - INFO - main.py - train - 77 - 【train】 epoch：0 step:30/53721 loss：2.908794 2021-08-21 02:12:45,424 - INFO - main.py - train - 77 - 【train】 epoch：0 step:31/53721 loss：2.932784 2021-08-21 02:12:45,845 - INFO - main.py - train - 77 - 【train】 epoch：0 step:32/53721 loss：2.873758 2021-08-21 02:12:46,271 - INFO - main.py - train - 77 - 【train】 epoch：0 step:33/53721 loss：2.594962 2021-08-21 02:12:46,687 - INFO - main.py - train - 77 - 【train】 epoch：0 step:34/53721 loss：2.821710 2021-08-21 02:12:47,104 - INFO - main.py - train - 77 - 【train】 epoch：0 step:35/53721 loss：2.652449 2021-08-21 02:12:47,523 - INFO - main.py - train - 77 - 【train】 epoch：0 step:36/53721 loss：2.752363 2021-08-21 02:12:47,945 - INFO - main.py - train - 77 - 【train】 epoch：0 step:37/53721 loss：2.642614 2021-08-21 02:12:48,366 - INFO - main.py - train - 77 - 【train】 epoch：0 step:38/53721 loss：3.370191 2021-08-21 02:12:48,780 - INFO - main.py - train - 77 - 【train】 epoch：0 step:39/53721 loss：2.990853 2021-08-21 02:12:49,204 - INFO - main.py - train - 77 - 【train】 epoch：0 step:40/53721 loss：1.678525 2021-08-21 02:12:49,628 - INFO - main.py - train - 77 - 【train】 epoch：0 step:41/53721 loss：1.350827 2021-08-21 02:12:50,049 - INFO - main.py - train - 77 - 【train】 epoch：0 step:42/53721 loss：2.850718 2021-08-21 02:12:50,464 - INFO - main.py - train - 77 - 【train】 epoch：0 step:43/53721 loss：2.858949 2021-08-21 02:12:50,888 - INFO - main.py - train - 77 - 【train】 epoch：0 step:44/53721 loss：3.216372 2021-08-21 02:12:51,319 - INFO - main.py - train - 77 - 【train】 epoch：0 step:45/53721 loss：3.210772 2021-08-21 02:12:51,742 - INFO - main.py - train - 77 - 【train】 epoch：0 step:46/53721 loss：3.480130 2021-08-21 02:12:52,166 - INFO - main.py - train - 77 - 【train】 epoch：0 step:47/53721 loss：3.250225 2021-08-21 02:12:52,596 - INFO - main.py - train - 77 - 【train】 epoch：0 step:48/53721 loss：3.298594 2021-08-21 02:12:53,024 - INFO - main.py - train - 77 - 【train】 epoch：0 step:49/53721 loss：3.163630 2021-08-21 02:12:53,446 - INFO - main.py - train - 77 - 【train】 epoch：0 step:50/53721 loss：4.199161 2021-08-21 02:12:53,872 - INFO - main.py - train - 77 - 【train】 epoch：0 step:51/53721 loss：3.539558 2021-08-21 02:12:54,293 - INFO - main.py - train - 77 - 【train】 epoch：0 step:52/53721 loss：4.898596 2021-08-21 02:12:54,720 - INFO - main.py - train - 77 - 【train】 epoch：0 step:53/53721 loss：4.363504 2021-08-21 02:12:55,143 - INFO - main.py - train - 77 - 【train】 epoch：0 step:54/53721 loss：3.796569 2021-08-21 02:12:55,563 - INFO - main.py - train - 77 - 【train】 epoch：0 step:55/53721 loss：3.448901 2021-08-21 02:12:55,985 - INFO - main.py - train - 77 - 【train】 epoch：0 step:56/53721 loss：2.826759 2021-08-21 02:12:56,407 - INFO - main.py - train - 77 - 【train】 epoch：0 step:57/53721 loss：2.815812 2021-08-21 02:12:56,831 - INFO - main.py - train - 77 - 【train】 epoch：0 step:58/53721 loss：2.815315 2021-08-21 02:12:57,257 - INFO - main.py - train - 77 - 【train】 epoch：0 step:59/53721 loss：2.739273 2021-08-21 02:12:57,683 - INFO - main.py - train - 77 - 【train】 epoch：0 step:60/53721 loss：3.055565 2021-08-21 02:12:58,109 - INFO - main.py - train - 77 - 【train】 epoch：0 step:61/53721 loss：2.435627 2021-08-21 02:12:58,536 - INFO - main.py - train - 77 - 【train】 epoch：0 step:62/53721 loss：3.956570 2021-08-21 02:12:58,963 - INFO - main.py - train - 77 - 【train】 epoch：0 step:63/53721 loss：3.477908 2021-08-21 02:12:59,385 - INFO - main.py - train - 77 - 【train】 epoch：0 step:64/53721 loss：2.942737 2021-08-21 02:12:59,810 - INFO - main.py - train - 77 - 【train】 epoch：0 step:65/53721 loss：2.917009 2021-08-21 02:13:00,236 - INFO - main.py - train - 77 - 【train】 epoch：0 step:66/53721 loss：1.708347 2021-08-21 02:13:00,661 - INFO - main.py - train - 77 - 【train】 epoch：0 step:67/53721 loss：1.580308 2021-08-21 02:13:01,089 - INFO - main.py - train - 77 - 【train】 epoch：0 step:68/53721 loss：2.045297 2021-08-21 02:13:01,511 - INFO - main.py - train - 77 - 【train】 epoch：0 step:69/53721 loss：1.885063 2021-08-21 02:13:01,930 - INFO - main.py - train - 77 - 【train】 epoch：0 step:70/53721 loss：0.932109 2021-08-21 02:13:02,354 - INFO - main.py - train - 77 - 【train】 epoch：0 step:71/53721 loss：1.004917 2021-08-21 02:13:02,782 - INFO - main.py - train - 77 - 【train】 epoch：0 step:72/53721 loss：1.104513 2021-08-21 02:13:03,208 - INFO - main.py - train - 77 - 【train】 epoch：0 step:73/53721 loss：0.864573 2021-08-21 02:13:03,634 - INFO - main.py - train - 77 - 【train】 epoch：0 step:74/53721 loss：4.600306 2021-08-21 02:13:04,062 - INFO - main.py - train - 77 - 【train】 epoch：0 step:75/53721 loss：4.277649 2021-08-21 02:13:04,485 - INFO - main.py - train - 77 - 【train】 epoch：0 step:76/53721 loss：4.263945 2021-08-21 02:13:04,915 - INFO - main.py - train - 77 - 【train】 epoch：0 step:77/53721 loss：3.831782 2021-08-21 02:13:05,340 - INFO - main.py - train - 77 - 【train】 epoch：0 step:78/53721 loss：2.583044 2021-08-21 02:13:05,767 - INFO - main.py - train - 77 - 【train】 epoch：0 step:79/53721 loss：2.167123 2021-08-21 02:13:06,192 - INFO - main.py - train - 77 - 【train】 epoch：0 step:80/53721 loss：1.527844 2021-08-21 02:13:06,617 - INFO - main.py - train - 77 - 【train】 epoch：0 step:81/53721 loss：1.375491 2021-08-21 02:13:07,046 - INFO - main.py - train - 77 - 【train】 epoch：0 step:82/53721 loss：2.600433 2021-08-21 02:13:07,473 - INFO - main.py - train - 77 - 【train】 epoch：0 step:83/53721 loss：2.483305 2021-08-21 02:13:07,896 - INFO - main.py - train - 77 - 【train】 epoch：0 step:84/53721 loss：0.844941 2021-08-21 02:13:08,321 - INFO - main.py - train - 77 - 【train】 epoch：0 step:85/53721 loss：0.772001 2021-08-21 02:13:08,746 - INFO - main.py - train - 77 - 【train】 epoch：0 step:86/53721 loss：3.046027 2021-08-21 02:13:09,173 - INFO - main.py - train - 77 - 【train】 epoch：0 step:87/53721 loss：2.852285 2021-08-21 02:13:09,597 - INFO - main.py - train - 77 - 【train】 epoch：0 step:88/53721 loss：2.280502 2021-08-21 02:13:10,023 - INFO - main.py - train - 77 - 【train】 epoch：0 step:89/53721 loss：2.317594 2021-08-21 02:13:10,449 - INFO - main.py - train - 77 - 【train】 epoch：0 step:90/53721 loss：2.357248 2021-08-21 02:13:10,875 - INFO - main.py - train - 77 - 【train】 epoch：0 step:91/53721 loss：2.157248 2021-08-21 02:13:11,299 - INFO - main.py - train - 77 - 【train】 epoch：0 step:92/53721 loss：2.788210 2021-08-21 02:13:11,725 - INFO - main.py - train - 77 - 【train】 epoch：0 step:93/53721 loss：2.688766 2021-08-21 02:13:12,152 - INFO - main.py - train - 77 - 【train】 epoch：0 step:94/53721 loss：2.682075 2021-08-21 02:13:12,579 - INFO - main.py - train - 77 - 【train】 epoch：0 step:95/53721 loss：2.815552 2021-08-21 02:13:13,002 - INFO - main.py - train - 77 - 【train】 epoch：0 step:96/53721 loss：2.645595 2021-08-21 02:13:13,427 - INFO - main.py - train - 77 - 【train】 epoch：0 step:97/53721 loss：2.270726 2021-08-21 02:13:13,852 - INFO - main.py - train - 77 - 【train】 epoch：0 step:98/53721 loss：2.291924 2021-08-21 02:13:14,278 - INFO - main.py - train - 77 - 【train】 epoch：0 step:99/53721 loss：1.912008 2021-08-21 02:13:14,706 - INFO - main.py - train - 77 - 【train】 epoch：0 step:100/53721 loss：2.394881 2021-08-21 02:13:15,136 - INFO - main.py - train - 77 - 【train】 epoch：0 step:101/53721 loss：1.975182 2021-08-21 02:13:15,570 - INFO - main.py - train - 77 - 【train】 epoch：0 step:102/53721 loss：2.228772 2021-08-21 02:13:16,000 - INFO - main.py - train - 77 - 【train】 epoch：0 step:103/53721 loss：2.117333 2021-08-21 02:13:16,428 - INFO - main.py - train - 77 - 【train】 epoch：0 step:104/53721 loss：2.400365 2021-08-21 02:13:16,856 - INFO - main.py - train - 77 - 【train】 epoch：0 step:105/53721 loss：2.424731 2021-08-21 02:13:17,288 - INFO - main.py - train - 77 - 【train】 epoch：0 step:106/53721 loss：2.829833 2021-08-21 02:13:17,720 - INFO - main.py - train - 77 - 【train】 epoch：0 step:107/53721 loss：2.607486 2021-08-21 02:13:18,155 - INFO - main.py - train - 77 - 【train】 epoch：0 step:108/53721 loss：1.871007 2021-08-21 02:13:18,597 - INFO - main.py - train - 77 - 【train】 epoch：0 step:109/53721 loss：1.783938 2021-08-21 02:13:19,029 - INFO - main.py - train - 77 - 【train】 epoch：0 step:110/53721 loss：1.987011 2021-08-21 02:13:19,466 - INFO - main.py - train - 77 - 【train】 epoch：0 step:111/53721 loss：1.933938 2021-08-21 02:13:19,896 - INFO - main.py - train - 77 - 【train】 epoch：0 step:112/53721 loss：2.436269 2021-08-21 02:13:20,329 - INFO - main.py - train - 77 - 【train】 epoch：0 step:113/53721 loss：2.177240 2021-08-21 02:13:20,762 - INFO - main.py - train - 77 - 【train】 epoch：0 step:114/53721 loss：1.112588 2021-08-21 02:13:21,187 - INFO - main.py - train - 77 - 【train】 epoch：0 step:115/53721 loss：1.214621 2021-08-21 02:13:21,634 - INFO - main.py - train - 77 - 【train】 epoch：0 step:116/53721 loss：2.106863 2021-08-21 02:13:22,067 - INFO - main.py - train - 77 - 【train】 epoch：0 step:117/53721 loss：1.836546 2021-08-21 02:13:22,508 - INFO - main.py - train - 77 - 【train】 epoch：0 step:118/53721 loss：1.565962 2021-08-21 02:13:22,950 - INFO - main.py - train - 77 - 【train】 epoch：0 step:119/53721 loss：1.453345 2021-08-21 02:13:23,377 - INFO - main.py - train - 77 - 【train】 epoch：0 step:120/53721 loss：1.334099 2021-08-21 02:13:23,809 - INFO - main.py - train - 77 - 【train】 epoch：0 step:121/53721 loss：1.240430 2021-08-21 02:13:24,247 - INFO - main.py - train - 77 - 【train】 epoch：0 step:122/53721 loss：2.403932 2021-08-21 02:13:24,675 - INFO - main.py - train - 77 - 【train】 epoch：0 step:123/53721 loss：2.308792 2021-08-21 02:13:25,117 - INFO - main.py - train - 77 - 【train】 epoch：0 step:124/53721 loss：1.752102 2021-08-21 02:13:25,552 - INFO - main.py - train - 77 - 【train】 epoch：0 step:125/53721 loss：1.415157 2021-08-21 02:13:25,991 - INFO - main.py - train - 77 - 【train】 epoch：0 step:126/53721 loss：1.639799 2021-08-21 02:13:26,422 - INFO - main.py - train - 77 - 【train】 epoch：0 step:127/53721 loss：1.373592 2021-08-21 02:13:26,863 - INFO - main.py - train - 77 - 【train】 epoch：0 step:128/53721 loss：3.065200 2021-08-21 02:13:27,304 - INFO - main.py - train - 77 - 【train】 epoch：0 step:129/53721 loss：2.559829 2021-08-21 02:13:27,733 - INFO - main.py - train - 77 - 【train】 epoch：0 step:130/53721 loss：2.658491 2021-08-21 02:13:28,176 - INFO - main.py - train - 77 - 【train】 epoch：0 step:131/53721 loss：2.507047 2021-08-21 02:13:28,604 - INFO - main.py - train - 77 - 【train】 epoch：0 step:132/53721 loss：1.708066 2021-08-21 02:13:29,048 - INFO - main.py - train - 77 - 【train】 epoch：0 step:133/53721 loss：1.788444 2021-08-21 02:13:29,481 - INFO - main.py - train - 77 - 【train】 epoch：0 step:134/53721 loss：1.325507 2021-08-21 02:13:29,922 - INFO - main.py - train - 77 - 【train】 epoch：0 step:135/53721 loss：1.078831 2021-08-21 02:13:30,367 - INFO - main.py - train - 77 - 【train】 epoch：0 step:136/53721 loss：2.755513 2021-08-21 02:13:30,796 - INFO - main.py - train - 77 - 【train】 epoch：0 step:137/53721 loss：2.550721 2021-08-21 02:13:31,243 - INFO - main.py - train - 77 - 【train】 epoch：0 step:138/53721 loss：2.693394 2021-08-21 02:13:31,687 - INFO - main.py - train - 77 - 【train】 epoch：0 step:139/53721 loss：2.162394 2021-08-21 02:13:32,132 - INFO - main.py - train - 77 - 【train】 epoch：0 step:140/53721 loss：2.730051 2021-08-21 02:13:32,575 - INFO - main.py - train - 77 - 【train】 epoch：0 step:141/53721 loss：2.470191 2021-08-21 02:13:33,011 - INFO - main.py - train - 77 - 【train】 epoch：0 step:142/53721 loss：0.920534 2021-08-21 02:13:33,451 - INFO - main.py - train - 77 - 【train】 epoch：0 step:143/53721 loss：0.670131 2021-08-21 02:13:33,895 - INFO - main.py - train - 77 - 【train】 epoch：0 step:144/53721 loss：1.432754 2021-08-21 02:13:34,340 - INFO - main.py - train - 77 - 【train】 epoch：0 step:145/53721 loss：1.529952 2021-08-21 02:13:34,783 - INFO - main.py - train - 77 - 【train】 epoch：0 step:146/53721 loss：2.133343 2021-08-21 02:13:35,219 - INFO - main.py - train - 77 - 【train】 epoch：0 step:147/53721 loss：2.103368 2021-08-21 02:13:35,663 - INFO - main.py - train - 77 - 【train】 epoch：0 step:148/53721 loss：2.947350 2021-08-21 02:13:36,107 - INFO - main.py - train - 77 - 【train】 epoch：0 step:149/53721 loss：2.067132 2021-08-21 02:13:36,551 - INFO - main.py - train - 77 - 【train】 epoch：0 step:150/53721 loss：1.398168 2021-08-21 02:13:36,997 - INFO - main.py - train - 77 - 【train】 epoch：0 step:151/53721 loss：0.925060 2021-08-21 02:13:37,442 - INFO - main.py - train - 77 - 【train】 epoch：0 step:152/53721 loss：2.580962 2021-08-21 02:13:37,888 - INFO - main.py - train - 77 - 【train】 epoch：0 step:153/53721 loss：2.408157 2021-08-21 02:13:38,334 - INFO - main.py - train - 77 - 【train】 epoch：0 step:154/53721 loss：1.992084 2021-08-21 02:13:38,781 - INFO - main.py - train - 77 - 【train】 epoch：0 step:155/53721 loss：1.700574 2021-08-21 02:13:39,228 - INFO - main.py - train - 77 - 【train】 epoch：0 step:156/53721 loss：2.318031 2021-08-21 02:13:39,674 - INFO - main.py - train - 77 - 【train】 epoch：0 step:157/53721 loss：2.268671 2021-08-21 02:13:40,117 - INFO - main.py - train - 77 - 【train】 epoch：0 step:158/53721 loss：2.281696 2021-08-21 02:13:40,563 - INFO - main.py - train - 77 - 【train】 epoch：0 step:159/53721 loss：2.164754 2021-08-21 02:13:41,012 - INFO - main.py - train - 77 - 【train】 epoch：0 step:160/53721 loss：1.885936 2021-08-21 02:13:41,458 - INFO - main.py - train - 77 - 【train】 epoch：0 step:161/53721 loss：1.744169 2021-08-21 02:13:41,906 - INFO - main.py - train - 77 - 【train】 epoch：0 step:162/53721 loss：1.767154 2021-08-21 02:13:42,351 - INFO - main.py - train - 77 - 【train】 epoch：0 step:163/53721 loss：1.622334 2021-08-21 02:13:42,809 - INFO - main.py - train - 77 - 【train】 epoch：0 step:164/53721 loss：1.077485 2021-08-21 02:13:43,257 - INFO - main.py - train - 77 - 【train】 epoch：0 step:165/53721 loss：1.217644 2021-08-21 02:13:43,705 - INFO - main.py - train - 77 - 【train】 epoch：0 step:166/53721 loss：2.886796 2021-08-21 02:13:44,156 - INFO - main.py - train - 77 - 【train】 epoch：0 step:167/53721 loss：2.465917 2021-08-21 02:13:44,601 - INFO - main.py - train - 77 - 【train】 epoch：0 step:168/53721 loss：1.765909 2021-08-21 02:13:45,051 - INFO - main.py - train - 77 - 【train】 epoch：0 step:169/53721 loss：1.604973 2021-08-21 02:13:45,497 - INFO - main.py - train - 77 - 【train】 epoch：0 step:170/53721 loss：1.492813 2021-08-21 02:13:45,942 - INFO - main.py - train - 77 - 【train】 epoch：0 step:171/53721 loss：1.298726 2021-08-21 02:13:46,389 - INFO - main.py - train - 77 - 【train】 epoch：0 step:172/53721 loss：1.414602 2021-08-21 02:13:46,831 - INFO - main.py - train - 77 - 【train】 epoch：0 step:173/53721 loss：1.515645 2021-08-21 02:13:47,282 - INFO - main.py - train - 77 - 【train】 epoch：0 step:174/53721 loss：3.974482 2021-08-21 02:13:47,724 - INFO - main.py - train - 77 - 【train】 epoch：0 step:175/53721 loss：3.281543 2021-08-21 02:13:48,179 - INFO - main.py - train - 77 - 【train】 epoch：0 step:176/53721 loss：1.752706 2021-08-21 02:13:48,635 - INFO - main.py - train - 77 - 【train】 epoch：0 step:177/53721 loss：1.737969 2021-08-21 02:13:49,085 - INFO - main.py - train - 77 - 【train】 epoch：0 step:178/53721 loss：2.371182 2021-08-21 02:13:49,535 - INFO - main.py - train - 77 - 【train】 epoch：0 step:179/53721 loss：2.494785 2021-08-21 02:13:49,976 - INFO - main.py - train - 77 - 【train】 epoch：0 step:180/53721 loss：1.610884 2021-08-21 02:13:50,420 - INFO - main.py - train - 77 - 【train】 epoch：0 step:181/53721 loss：1.429070 2021-08-21 02:13:50,869 - INFO - main.py - train - 77 - 【train】 epoch：0 step:182/53721 loss：2.629310 2021-08-21 02:13:51,323 - INFO - main.py - train - 77 - 【train】 epoch：0 step:183/53721 loss：2.332988 2021-08-21 02:13:51,773 - INFO - main.py - train - 77 - 【train】 epoch：0 step:184/53721 loss：1.901972 2021-08-21 02:13:52,225 - INFO - main.py - train - 77 - 【train】 epoch：0 step:185/53721 loss：1.924886 2021-08-21 02:13:52,681 - INFO - main.py - train - 77 - 【train】 epoch：0 step:186/53721 loss：1.316702 2021-08-21 02:13:53,140 - INFO - main.py - train - 77 - 【train】 epoch：0 step:187/53721 loss：0.969379 2021-08-21 02:13:53,598 - INFO - main.py - train - 77 - 【train】 epoch：0 step:188/53721 loss：0.520229 2021-08-21 02:13:54,052 - INFO - main.py - train - 77 - 【train】 epoch：0 step:189/53721 loss：0.275767 2021-08-21 02:13:54,510 - INFO - main.py - train - 77 - 【train】 epoch：0 step:190/53721 loss：0.146445 2021-08-21 02:13:54,964 - INFO - main.py - train - 77 - 【train】 epoch：0 step:191/53721 loss：0.094363 2021-08-21 02:13:55,417 - INFO - main.py - train - 77 - 【train】 epoch：0 step:192/53721 loss：0.045960 2021-08-21 02:13:55,874 - INFO - main.py - train - 77 - 【train】 epoch：0 step:193/53721 loss：0.034512 2021-08-21 02:13:56,327 - INFO - main.py - train - 77 - 【train】 epoch：0 step:194/53721 loss：2.378601 2021-08-21 02:13:56,783 - INFO - main.py - train - 77 - 【train】 epoch：0 step:195/53721 loss：2.252876 2021-08-21 02:13:57,239 - INFO - main.py - train - 77 - 【train】 epoch：0 step:196/53721 loss：3.784721 2021-08-21 02:13:57,696 - INFO - main.py - train - 77 - 【train】 epoch：0 step:197/53721 loss：3.041133 2021-08-21 02:13:58,150 - INFO - main.py - train - 77 - 【train】 epoch：0 step:198/53721 loss：1.948870 2021-08-21 02:13:58,606 - INFO - main.py - train - 77 - 【train】 epoch：0 step:199/53721 loss：1.635709 2021-08-21 02:13:59,066 - INFO - main.py - train - 77 - 【train】 epoch：0 step:200/53721 loss：1.106980 2021-08-21 02:13:59,521 - INFO - main.py - train - 77 - 【train】 epoch：0 step:201/53721 loss：0.298223 2021-08-21 02:13:59,978 - INFO - main.py - train - 77 - 【train】 epoch：0 step:202/53721 loss：3.762762 2021-08-21 02:14:00,431 - INFO - main.py - train - 77 - 【train】 epoch：0 step:203/53721 loss：3.716166 2021-08-21 02:14:00,887 - INFO - main.py - train - 77 - 【train】 epoch：0 step:204/53721 loss：4.675027 2021-08-21 02:14:01,341 - INFO - main.py - train - 77 - 【train】 epoch：0 step:205/53721 loss：3.703976 2021-08-21 02:14:01,780 - INFO - main.py - train - 77 - 【train】 epoch：0 step:206/53721 loss：2.084440 2021-08-21 02:14:02,223 - INFO - main.py - train - 77 - 【train】 epoch：0 step:207/53721 loss：1.544625 2021-08-21 02:14:02,667 - INFO - main.py - train - 77 - 【train】 epoch：0 step:208/53721 loss：1.838688 2021-08-21 02:14:03,112 - INFO - main.py - train - 77 - 【train】 epoch：0 step:209/53721 loss：1.156972 2021-08-21 02:14:03,560 - INFO - main.py - train - 77 - 【train】 epoch：0 step:210/53721 loss：1.929310 2021-08-21 02:14:04,008 - INFO - main.py - train - 77 - 【train】 epoch：0 step:211/53721 loss：1.663194 2021-08-21 02:14:04,447 - INFO - main.py - train - 77 - 【train】 epoch：0 step:212/53721 loss：1.772079 2021-08-21 02:14:04,876 - INFO - main.py - train - 77 - 【train】 epoch：0 step:213/53721 loss：1.095482 2021-08-21 02:14:05,324 - INFO - main.py - train - 77 - 【train】 epoch：0 step:214/53721 loss：2.524526 2021-08-21 02:14:05,770 - INFO - main.py - train - 77 - 【train】 epoch：0 step:215/53721 loss：2.467942 2021-08-21 02:14:06,213 - INFO - main.py - train - 77 - 【train】 epoch：0 step:216/53721 loss：1.815729 2021-08-21 02:14:06,660 - INFO - main.py - train - 77 - 【train】 epoch：0 step:217/53721 loss：1.718034 2021-08-21 02:14:07,108 - INFO - main.py - train - 77 - 【train】 epoch：0 step:218/53721 loss：3.891706 2021-08-21 02:14:07,552 - INFO - main.py - train - 77 - 【train】 epoch：0 step:219/53721 loss：3.363969 2021-08-21 02:14:07,992 - INFO - main.py - train - 77 - 【train】 epoch：0 step:220/53721 loss：1.916198 2021-08-21 02:14:08,435 - INFO - main.py - train - 77 - 【train】 epoch：0 step:221/53721 loss：1.857854 2021-08-21 02:14:08,868 - INFO - main.py - train - 77 - 【train】 epoch：0 step:222/53721 loss：3.123070 2021-08-21 02:14:09,308 - INFO - main.py - train - 77 - 【train】 epoch：0 step:223/53721 loss：2.657174 2021-08-21 02:14:09,753 - INFO - main.py - train - 77 - 【train】 epoch：0 step:224/53721 loss：2.238850 2021-08-21 02:14:10,194 - INFO - main.py - train - 77 - 【train】 epoch：0 step:225/53721 loss：1.398950 2021-08-21 02:14:10,639 - INFO - main.py - train - 77 - 【train】 epoch：0 step:226/53721 loss：2.242048 2021-08-21 02:14:11,083 - INFO - main.py - train - 77 - 【train】 epoch：0 step:227/53721 loss：2.268633 2021-08-21 02:14:11,526 - INFO - main.py - train - 77 - 【train】 epoch：0 step:228/53721 loss：1.036806 2021-08-21 02:14:11,965 - INFO - main.py - train - 77 - 【train】 epoch：0 step:229/53721 loss：1.047983 2021-08-21 02:14:12,403 - INFO - main.py - train - 77 - 【train】 epoch：0 step:230/53721 loss：1.217941 2021-08-21 02:14:12,845 - INFO - main.py - train - 77 - 【train】 epoch：0 step:231/53721 loss：0.874453 2021-08-21 02:14:13,283 - INFO - main.py - train - 77 - 【train】 epoch：0 step:232/53721 loss：2.485015 2021-08-21 02:14:13,718 - INFO - main.py - train - 77 - 【train】 epoch：0 step:233/53721 loss：2.159400 2021-08-21 02:14:14,159 - INFO - main.py - train - 77 - 【train】 epoch：0 step:234/53721 loss：1.125733 2021-08-21 02:14:14,589 - INFO - main.py - train - 77 - 【train】 epoch：0 step:235/53721 loss：0.979269 2021-08-21 02:14:15,024 - INFO - main.py - train - 77 - 【train】 epoch：0 step:236/53721 loss：1.625095 2021-08-21 02:14:15,467 - INFO - main.py - train - 77 - 【train】 epoch：0 step:237/53721 loss：1.519865 2021-08-21 02:14:15,907 - INFO - main.py - train - 77 - 【train】 epoch：0 step:238/53721 loss：1.926898 2021-08-21 02:14:16,335 - INFO - main.py - train - 77 - 【train】 epoch：0 step:239/53721 loss：1.696579 2021-08-21 02:14:16,778 - INFO - main.py - train - 77 - 【train】 epoch：0 step:240/53721 loss：3.328685 2021-08-21 02:14:17,209 - INFO - main.py - train - 77 - 【train】 epoch：0 step:241/53721 loss：3.082065 2021-08-21 02:14:17,658 - INFO - main.py - train - 77 - 【train】 epoch：0 step:242/53721 loss：1.797765 2021-08-21 02:14:18,099 - INFO - main.py - train - 77 - 【train】 epoch：0 step:243/53721 loss：1.614053 2021-08-21 02:14:18,538 - INFO - main.py - train - 77 - 【train】 epoch：0 step:244/53721 loss：2.663772 2021-08-21 02:14:18,967 - INFO - main.py - train - 77 - 【train】 epoch：0 step:245/53721 loss：2.343542 2021-08-21 02:14:19,404 - INFO - main.py - train - 77 - 【train】 epoch：0 step:246/53721 loss：1.338035 2021-08-21 02:14:19,840 - INFO - main.py - train - 77 - 【train】 epoch：0 step:247/53721 loss：1.236867 2021-08-21 02:14:20,278 - INFO - main.py - train - 77 - 【train】 epoch：0 step:248/53721 loss：0.780315 2021-08-21 02:14:20,712 - INFO - main.py - train - 77 - 【train】 epoch：0 step:249/53721 loss：0.721467 2021-08-21 02:14:21,151 - INFO - main.py - train - 77 - 【train】 epoch：0 step:250/53721 loss：2.184995 2021-08-21 02:14:21,583 - INFO - main.py - train - 77 - 【train】 epoch：0 step:251/53721 loss：1.883920 2021-08-21 02:14:22,026 - INFO - main.py - train - 77 - 【train】 epoch：0 step:252/53721 loss：1.308111 2021-08-21 02:14:22,458 - INFO - main.py - train - 77 - 【train】 epoch：0 step:253/53721 loss：1.139790 2021-08-21 02:14:22,897 - INFO - main.py - train - 77 - 【train】 epoch：0 step:254/53721 loss：1.703709 2021-08-21 02:14:23,325 - INFO - main.py - train - 77 - 【train】 epoch：0 step:255/53721 loss：1.827485 2021-08-21 02:14:23,766 - INFO - main.py - train - 77 - 【train】 epoch：0 step:256/53721 loss：0.955798 2021-08-21 02:14:24,201 - INFO - main.py - train - 77 - 【train】 epoch：0 step:257/53721 loss：1.003386 2021-08-21 02:14:24,637 - INFO - main.py - train - 77 - 【train】 epoch：0 step:258/53721 loss：1.260346 2021-08-21 02:14:25,067 - INFO - main.py - train - 77 - 【train】 epoch：0 step:259/53721 loss：1.334001 2021-08-21 02:14:25,495 - INFO - main.py - train - 77 - 【train】 epoch：0 step:260/53721 loss：1.643632 2021-08-21 02:14:25,935 - INFO - main.py - train - 77 - 【train】 epoch：0 step:261/53721 loss：1.471676 2021-08-21 02:14:26,366 - INFO - main.py - train - 77 - 【train】 epoch：0 step:262/53721 loss：0.995148 2021-08-21 02:14:26,805 - INFO - main.py - train - 77 - 【train】 epoch：0 step:263/53721 loss：0.609283 2021-08-21 02:14:27,235 - INFO - main.py - train - 77 - 【train】 epoch：0 step:264/53721 loss：1.095984 2021-08-21 02:14:27,662 - INFO - main.py - train - 77 - 【train】 epoch：0 step:265/53721 loss：1.018751 2021-08-21 02:14:28,106 - INFO - main.py - train - 77 - 【train】 epoch：0 step:266/53721 loss：1.022118 2021-08-21 02:14:28,536 - INFO - main.py - train - 77 - 【train】 epoch：0 step:267/53721 loss：0.938124 2021-08-21 02:14:28,964 - INFO - main.py - train - 77 - 【train】 epoch：0 step:268/53721 loss：2.558464 2021-08-21 02:14:29,403 - INFO - main.py - train - 77 - 【train】 epoch：0 step:269/53721 loss：2.331440 2021-08-21 02:14:29,830 - INFO - main.py - train - 77 - 【train】 epoch：0 step:270/53721 loss：1.375667 2021-08-21 02:14:30,268 - INFO - main.py - train - 77 - 【train】 epoch：0 step:271/53721 loss：1.334939 2021-08-21 02:14:30,701 - INFO - main.py - train - 77 - 【train】 epoch：0 step:272/53721 loss：1.343101 2021-08-21 02:14:31,129 - INFO - main.py - train - 77 - 【train】 epoch：0 step:273/53721 loss：1.497051 2021-08-21 02:14:31,574 - INFO - main.py - train - 77 - 【train】 epoch：0 step:274/53721 loss：0.606833 2021-08-21 02:14:32,009 - INFO - main.py - train - 77 - 【train】 epoch：0 step:275/53721 loss：0.574039 2021-08-21 02:14:32,443 - INFO - main.py - train - 77 - 【train】 epoch：0 step:276/53721 loss：1.078323 2021-08-21 02:14:32,876 - INFO - main.py - train - 77 - 【train】 epoch：0 step:277/53721 loss：1.153851 2021-08-21 02:14:33,315 - INFO - main.py - train - 77 - 【train】 epoch：0 step:278/53721 loss：1.943873 2021-08-21 02:14:33,744 - INFO - main.py - train - 77 - 【train】 epoch：0 step:279/53721 loss：1.587405 2021-08-21 02:14:34,170 - INFO - main.py - train - 77 - 【train】 epoch：0 step:280/53721 loss：0.741802 2021-08-21 02:14:34,610 - INFO - main.py - train - 77 - 【train】 epoch：0 step:281/53721 loss：0.733944 2021-08-21 02:14:35,038 - INFO - main.py - train - 77 - 【train】 epoch：0 step:282/53721 loss：1.485572 2021-08-21 02:14:35,481 - INFO - main.py - train - 77 - 【train】 epoch：0 step:283/53721 loss：1.655100 2021-08-21 02:14:35,907 - INFO - main.py - train - 77 - 【train】 epoch：0 step:284/53721 loss：0.374278 2021-08-21 02:14:36,334 - INFO - main.py - train - 77 - 【train】 epoch：0 step:285/53721 loss：0.147572 2021-08-21 02:14:36,772 - INFO - main.py - train - 77 - 【train】 epoch：0 step:286/53721 loss：0.637105 2021-08-21 02:14:37,202 - INFO - main.py - train - 77 - 【train】 epoch：0 step:287/53721 loss：0.632147 2021-08-21 02:14:37,633 - INFO - main.py - train - 77 - 【train】 epoch：0 step:288/53721 loss：0.602807 2021-08-21 02:14:38,069 - INFO - main.py - train - 77 - 【train】 epoch：0 step:289/53721 loss：0.562261 2021-08-21 02:14:38,498 - INFO - main.py - train - 77 - 【train】 epoch：0 step:290/53721 loss：1.440468 2021-08-21 02:14:38,926 - INFO - main.py - train - 77 - 【train】 epoch：0 step:291/53721 loss：1.291373 2021-08-21 02:14:39,369 - INFO - main.py - train - 77 - 【train】 epoch：0 step:292/53721 loss：1.344415 2021-08-21 02:14:39,795 - INFO - main.py - train - 77 - 【train】 epoch：0 step:293/53721 loss：1.237592 2021-08-21 02:14:40,227 - INFO - main.py - train - 77 - 【train】 epoch：0 step:294/53721 loss：1.746467 2021-08-21 02:14:40,667 - INFO - main.py - train - 77 - 【train】 epoch：0 step:295/53721 loss：1.610334 2021-08-21 02:14:41,092 - INFO - main.py - train - 77 - 【train】 epoch：0 step:296/53721 loss：2.746599 2021-08-21 02:14:41,531 - INFO - main.py - train - 77 - 【train】 epoch：0 step:297/53721 loss：2.408467 2021-08-21 02:14:41,963 - INFO - main.py - train - 77 - 【train】 epoch：0 step:298/53721 loss：2.138427 2021-08-21 02:14:42,389 - INFO - main.py - train - 77 - 【train】 epoch：0 step:299/53721 loss：2.015202 2021-08-21 02:14:42,819 - INFO - main.py - train - 77 - 【train】 epoch：0 step:300/53721 loss：0.906590 2021-08-21 02:14:43,259 - INFO - main.py - train - 77 - 【train】 epoch：0 step:301/53721 loss：1.100837 2021-08-21 02:14:43,695 - INFO - main.py - train - 77 - 【train】 epoch：0 step:302/53721 loss：0.940733 2021-08-21 02:14:44,134 - INFO - main.py - train - 77 - 【train】 epoch：0 step:303/53721 loss：0.699947 2021-08-21 02:14:44,572 - INFO - main.py - train - 77 - 【train】 epoch：0 step:304/53721 loss：0.631867 2021-08-21 02:14:45,006 - INFO - main.py - train - 77 - 【train】 epoch：0 step:305/53721 loss：0.613764 2021-08-21 02:14:45,446 - INFO - main.py - train - 77 - 【train】 epoch：0 step:306/53721 loss：0.780711 2021-08-21 02:14:45,874 - INFO - main.py - train - 77 - 【train】 epoch：0 step:307/53721 loss：0.553028 2021-08-21 02:14:46,311 - INFO - main.py - train - 77 - 【train】 epoch：0 step:308/53721 loss：0.809443 2021-08-21 02:14:46,742 - INFO - main.py - train - 77 - 【train】 epoch：0 step:309/53721 loss：0.805758 2021-08-21 02:14:47,179 - INFO - main.py - train - 77 - 【train】 epoch：0 step:310/53721 loss：1.971486 2021-08-21 02:14:47,614 - INFO - main.py - train - 77 - 【train】 epoch：0 step:311/53721 loss：1.698779 2021-08-21 02:14:48,041 - INFO - main.py - train - 77 - 【train】 epoch：0 step:312/53721 loss：3.231414 2021-08-21 02:14:48,482 - INFO - main.py - train - 77 - 【train】 epoch：0 step:313/53721 loss：3.161021 2021-08-21 02:14:48,917 - INFO - main.py - train - 77 - 【train】 epoch：0 step:314/53721 loss：2.606847 2021-08-21 02:14:49,360 - INFO - main.py - train - 77 - 【train】 epoch：0 step:315/53721 loss：2.055982 2021-08-21 02:14:49,797 - INFO - main.py - train - 77 - 【train】 epoch：0 step:316/53721 loss：0.361837 2021-08-21 02:14:50,227 - INFO - main.py - train - 77 - 【train】 epoch：0 step:317/53721 loss：0.235673 2021-08-21 02:14:50,672 - INFO - main.py - train - 77 - 【train】 epoch：0 step:318/53721 loss：1.993205 2021-08-21 02:14:51,118 - INFO - main.py - train - 77 - 【train】 epoch：0 step:319/53721 loss：1.846201 2021-08-21 02:14:51,553 - INFO - main.py - train - 77 - 【train】 epoch：0 step:320/53721 loss：1.605563 2021-08-21 02:14:51,993 - INFO - main.py - train - 77 - 【train】 epoch：0 step:321/53721 loss：0.964342 2021-08-21 02:14:52,430 - INFO - main.py - train - 77 - 【train】 epoch：0 step:322/53721 loss：1.284115 2021-08-21 02:14:52,859 - INFO - main.py - train - 77 - 【train】 epoch：0 step:323/53721 loss：1.400307 2021-08-21 02:14:53,298 - INFO - main.py - train - 77 - 【train】 epoch：0 step:324/53721 loss：0.918075 2021-08-21 02:14:53,729 - INFO - main.py - train - 77 - 【train】 epoch：0 step:325/53721 loss：1.159937 2021-08-21 02:14:54,163 - INFO - main.py - train - 77 - 【train】 epoch：0 step:326/53721 loss：0.490593 2021-08-21 02:14:54,602 - INFO - main.py - train - 77 - 【train】 epoch：0 step:327/53721 loss：0.334730 2021-08-21 02:14:55,043 - INFO - main.py - train - 77 - 【train】 epoch：0 step:328/53721 loss：0.912365 2021-08-21 02:14:55,476 - INFO - main.py - train - 77 - 【train】 epoch：0 step:329/53721 loss：0.743098 2021-08-21 02:14:55,916 - INFO - main.py - train - 77 - 【train】 epoch：0 step:330/53721 loss：1.615857 2021-08-21 02:14:56,348 - INFO - main.py - train - 77 - 【train】 epoch：0 step:331/53721 loss：1.427188 2021-08-21 02:14:56,790 - INFO - main.py - train - 77 - 【train】 epoch：0 step:332/53721 loss：0.893279 2021-08-21 02:14:57,234 - INFO - main.py - train - 77 - 【train】 epoch：0 step:333/53721 loss：0.500725 2021-08-21 02:14:57,675 - INFO - main.py - train - 77 - 【train】 epoch：0 step:334/53721 loss：0.218571 2021-08-21 02:14:58,107 - INFO - main.py - train - 77 - 【train】 epoch：0 step:335/53721 loss：0.186568 2021-08-21 02:14:58,548 - INFO - main.py - train - 77 - 【train】 epoch：0 step:336/53721 loss：0.635506 2021-08-21 02:14:58,987 - INFO - main.py - train - 77 - 【train】 epoch：0 step:337/53721 loss：0.521382 2021-08-21 02:14:59,421 - INFO - main.py - train - 77 - 【train】 epoch：0 step:338/53721 loss：1.674293 2021-08-21 02:14:59,864 - INFO - main.py - train - 77 - 【train】 epoch：0 step:339/53721 loss：1.650499 2021-08-21 02:15:00,294 - INFO - main.py - train - 77 - 【train】 epoch：0 step:340/53721 loss：1.253128 2021-08-21 02:15:00,735 - INFO - main.py - train - 77 - 【train】 epoch：0 step:341/53721 loss：1.190286 2021-08-21 02:15:01,185 - INFO - main.py - train - 77 - 【train】 epoch：0 step:342/53721 loss：1.034765 2021-08-21 02:15:01,631 - INFO - main.py - train - 77 - 【train】 epoch：0 step:343/53721 loss：1.001663 2021-08-21 02:15:02,072 - INFO - main.py - train - 77 - 【train】 epoch：0 step:344/53721 loss：1.358697 2021-08-21 02:15:02,503 - INFO - main.py - train - 77 - 【train】 epoch：0 step:345/53721 loss：1.058185 2021-08-21 02:15:02,944 - INFO - main.py - train - 77 - 【train】 epoch：0 step:346/53721 loss：0.973984 2021-08-21 02:15:03,382 - INFO - main.py - train - 77 - 【train】 epoch：0 step:347/53721 loss：0.764974 2021-08-21 02:15:03,817 - INFO - main.py - train - 77 - 【train】 epoch：0 step:348/53721 loss：0.832580 2021-08-21 02:15:04,259 - INFO - main.py - train - 77 - 【train】 epoch：0 step:349/53721 loss：0.883329 2021-08-21 02:15:04,688 - INFO - main.py - train - 77 - 【train】 epoch：0 step:350/53721 loss：0.978443 2021-08-21 02:15:05,130 - INFO - main.py - train - 77 - 【train】 epoch：0 step:351/53721 loss：1.099796 2021-08-21 02:15:05,565 - INFO - main.py - train - 77 - 【train】 epoch：0 step:352/53721 loss：0.144584 2021-08-21 02:15:06,008 - INFO - main.py - train - 77 - 【train】 epoch：0 step:353/53721 loss：0.114980 2021-08-21 02:15:06,447 - INFO - main.py - train - 77 - 【train】 epoch：0 step:354/53721 loss：1.828816 2021-08-21 02:15:06,876 - INFO - main.py - train - 77 - 【train】 epoch：0 step:355/53721 loss：2.038413 2021-08-21 02:15:07,318 - INFO - main.py - train - 77 - 【train】 epoch：0 step:356/53721 loss：1.896181 2021-08-21 02:15:07,749 - INFO - main.py - train - 77 - 【train】 epoch：0 step:357/53721 loss：1.789996 2021-08-21 02:15:08,180 - INFO - main.py - train - 77 - 【train】 epoch：0 step:358/53721 loss：1.802978 2021-08-21 02:15:08,624 - INFO - main.py - train - 77 - 【train】 epoch：0 step:359/53721 loss：1.454942 2021-08-21 02:15:09,072 - INFO - main.py - train - 77 - 【train】 epoch：0 step:360/53721 loss：1.722368 2021-08-21 02:15:09,518 - INFO - main.py - train - 77 - 【train】 epoch：0 step:361/53721 loss：1.338673 2021-08-21 02:15:09,962 - INFO - main.py - train - 77 - 【train】 epoch：0 step:362/53721 loss：0.330198 2021-08-21 02:15:10,405 - INFO - main.py - train - 77 - 【train】 epoch：0 step:363/53721 loss：0.375402 2021-08-21 02:15:10,854 - INFO - main.py - train - 77 - 【train】 epoch：0 step:364/53721 loss：2.139541 2021-08-21 02:15:11,308 - INFO - main.py - train - 77 - 【train】 epoch：0 step:365/53721 loss：2.008648 2021-08-21 02:15:11,767 - INFO - main.py - train - 77 - 【train】 epoch：0 step:366/53721 loss：0.684350 2021-08-21 02:15:12,230 - INFO - main.py - train - 77 - 【train】 epoch：0 step:367/53721 loss：0.639473 2021-08-21 02:15:12,670 - INFO - main.py - train - 77 - 【train】 epoch：0 step:368/53721 loss：1.080943 2021-08-21 02:15:13,114 - INFO - main.py - train - 77 - 【train】 epoch：0 step:369/53721 loss：0.933030 2021-08-21 02:15:13,558 - INFO - main.py - train - 77 - 【train】 epoch：0 step:370/53721 loss：0.926509 2021-08-21 02:15:14,002 - INFO - main.py - train - 77 - 【train】 epoch：0 step:371/53721 loss：0.928527 2021-08-21 02:15:14,449 - INFO - main.py - train - 77 - 【train】 epoch：0 step:372/53721 loss：2.431225 2021-08-21 02:15:14,893 - INFO - main.py - train - 77 - 【train】 epoch：0 step:373/53721 loss：2.221893 2021-08-21 02:15:15,324 - INFO - main.py - train - 77 - 【train】 epoch：0 step:374/53721 loss：1.690607 2021-08-21 02:15:15,766 - INFO - main.py - train - 77 - 【train】 epoch：0 step:375/53721 loss：1.444474 2021-08-21 02:15:16,211 - INFO - main.py - train - 77 - 【train】 epoch：0 step:376/53721 loss：0.507417 2021-08-21 02:15:16,640 - INFO - main.py - train - 77 - 【train】 epoch：0 step:377/53721 loss：0.468414 2021-08-21 02:15:17,081 - INFO - main.py - train - 77 - 【train】 epoch：0 step:378/53721 loss：2.657600 2021-08-21 02:15:17,515 - INFO - main.py - train - 77 - 【train】 epoch：0 step:379/53721 loss：1.746057 2021-08-21 02:15:17,960 - INFO - main.py - train - 77 - 【train】 epoch：0 step:380/53721 loss：1.996495 2021-08-21 02:15:18,406 - INFO - main.py - train - 77 - 【train】 epoch：0 step:381/53721 loss：1.745476 2021-08-21 02:15:18,838 - INFO - main.py - train - 77 - 【train】 epoch：0 step:382/53721 loss：1.015003 2021-08-21 02:15:19,281 - INFO - main.py - train - 77 - 【train】 epoch：0 step:383/53721 loss：0.809621 2021-08-21 02:15:19,716 - INFO - main.py - train - 77 - 【train】 epoch：0 step:384/53721 loss：0.998303 2021-08-21 02:15:20,155 - INFO - main.py - train - 77 - 【train】 epoch：0 step:385/53721 loss：0.930585 2021-08-21 02:15:20,596 - INFO - main.py - train - 77 - 【train】 epoch：0 step:386/53721 loss：0.878045 2021-08-21 02:15:21,028 - INFO - main.py - train - 77 - 【train】 epoch：0 step:387/53721 loss：0.716164 2021-08-21 02:15:21,469 - INFO - main.py - train - 77 - 【train】 epoch：0 step:388/53721 loss：1.806901 2021-08-21 02:15:21,913 - INFO - main.py - train - 77 - 【train】 epoch：0 step:389/53721 loss：1.626562 2021-08-21 02:15:22,359 - INFO - main.py - train - 77 - 【train】 epoch：0 step:390/53721 loss：1.536924 2021-08-21 02:15:22,804 - INFO - main.py - train - 77 - 【train】 epoch：0 step:391/53721 loss：1.277794 2021-08-21 02:15:23,242 - INFO - main.py - train - 77 - 【train】 epoch：0 step:392/53721 loss：0.223245 2021-08-21 02:15:23,680 - INFO - main.py - train - 77 - 【train】 epoch：0 step:393/53721 loss：0.096253 2021-08-21 02:15:24,123 - INFO - main.py - train - 77 - 【train】 epoch：0 step:394/53721 loss：0.546824 2021-08-21 02:15:24,569 - INFO - main.py - train - 77 - 【train】 epoch：0 step:395/53721 loss：0.496586 2021-08-21 02:15:25,009 - INFO - main.py - train - 77 - 【train】 epoch：0 step:396/53721 loss：1.036791 2021-08-21 02:15:25,442 - INFO - main.py - train - 77 - 【train】 epoch：0 step:397/53721 loss：1.107384 2021-08-21 02:15:25,890 - INFO - main.py - train - 77 - 【train】 epoch：0 step:398/53721 loss：0.533769 2021-08-21 02:15:26,339 - INFO - main.py - train - 77 - 【train】 epoch：0 step:399/53721 loss：0.577374 2021-08-21 02:15:26,782 - INFO - main.py - train - 77 - 【train】 epoch：0 step:400/53721 loss：0.637670 2021-08-21 02:15:27,226 - INFO - main.py - train - 77 - 【train】 epoch：0 step:401/53721 loss：0.483038 2021-08-21 02:15:27,668 - INFO - main.py - train - 77 - 【train】 epoch：0 step:402/53721 loss：0.486372 2021-08-21 02:15:28,099 - INFO - main.py - train - 77 - 【train】 epoch：0 step:403/53721 loss：0.495875 2021-08-21 02:15:28,539 - INFO - main.py - train - 77 - 【train】 epoch：0 step:404/53721 loss：1.275437 2021-08-21 02:15:28,981 - INFO - main.py - train - 77 - 【train】 epoch：0 step:405/53721 loss：1.157642 2021-08-21 02:15:29,415 - INFO - main.py - train - 77 - 【train】 epoch：0 step:406/53721 loss：0.969945 2021-08-21 02:15:29,856 - INFO - main.py - train - 77 - 【train】 epoch：0 step:407/53721 loss：1.049908 2021-08-21 02:15:30,304 - INFO - main.py - train - 77 - 【train】 epoch：0 step:408/53721 loss：0.188729 2021-08-21 02:15:30,745 - INFO - main.py - train - 77 - 【train】 epoch：0 step:409/53721 loss：0.160478 2021-08-21 02:15:31,179 - INFO - main.py - train - 77 - 【train】 epoch：0 step:410/53721 loss：0.157879 2021-08-21 02:15:31,621 - INFO - main.py - train - 77 - 【train】 epoch：0 step:411/53721 loss：0.203976 2021-08-21 02:15:32,063 - INFO - main.py - train - 77 - 【train】 epoch：0 step:412/53721 loss：0.681993 2021-08-21 02:15:32,496 - INFO - main.py - train - 77 - 【train】 epoch：0 step:413/53721 loss：0.541174 2021-08-21 02:15:32,936 - INFO - main.py - train - 77 - 【train】 epoch：0 step:414/53721 loss：1.514247 2021-08-21 02:15:33,380 - INFO - main.py - train - 77 - 【train】 epoch：0 step:415/53721 loss：1.184160 2021-08-21 02:15:33,829 - INFO - main.py - train - 77 - 【train】 epoch：0 step:416/53721 loss：0.989420 2021-08-21 02:15:34,277 - INFO - main.py - train - 77 - 【train】 epoch：0 step:417/53721 loss：1.020217 2021-08-21 02:15:34,723 - INFO - main.py - train - 77 - 【train】 epoch：0 step:418/53721 loss：0.738617 2021-08-21 02:15:35,168 - INFO - main.py - train - 77 - 【train】 epoch：0 step:419/53721 loss：0.654203 2021-08-21 02:15:35,608 - INFO - main.py - train - 77 - 【train】 epoch：0 step:420/53721 loss：0.532544 2021-08-21 02:15:36,053 - INFO - main.py - train - 77 - 【train】 epoch：0 step:421/53721 loss：0.484119 2021-08-21 02:15:36,486 - INFO - main.py - train - 77 - 【train】 epoch：0 step:422/53721 loss：0.201581 2021-08-21 02:15:36,925 - INFO - main.py - train - 77 - 【train】 epoch：0 step:423/53721 loss：0.207727 2021-08-21 02:15:37,369 - INFO - main.py - train - 77 - 【train】 epoch：0 step:424/53721 loss：0.695948 2021-08-21 02:15:37,801 - INFO - main.py - train - 77 - 【train】 epoch：0 step:425/53721 loss：0.715306 2021-08-21 02:15:38,243 - INFO - main.py - train - 77 - 【train】 epoch：0 step:426/53721 loss：0.734642 2021-08-21 02:15:38,687 - INFO - main.py - train - 77 - 【train】 epoch：0 step:427/53721 loss：0.654930 2021-08-21 02:15:39,121 - INFO - main.py - train - 77 - 【train】 epoch：0 step:428/53721 loss：1.356623 2021-08-21 02:15:39,560 - INFO - main.py - train - 77 - 【train】 epoch：0 step:429/53721 loss：1.089931 2021-08-21 02:15:40,005 - INFO - main.py - train - 77 - 【train】 epoch：0 step:430/53721 loss：0.235727 2021-08-21 02:15:40,449 - INFO - main.py - train - 77 - 【train】 epoch：0 step:431/53721 loss：0.225349 2021-08-21 02:15:40,896 - INFO - main.py - train - 77 - 【train】 epoch：0 step:432/53721 loss：0.499462 2021-08-21 02:15:41,342 - INFO - main.py - train - 77 - 【train】 epoch：0 step:433/53721 loss：0.128919 2021-08-21 02:15:41,781 - INFO - main.py - train - 77 - 【train】 epoch：0 step:434/53721 loss：0.545822 2021-08-21 02:15:42,209 - INFO - main.py - train - 77 - 【train】 epoch：0 step:435/53721 loss：0.484593 2021-08-21 02:15:42,650 - INFO - main.py - train - 77 - 【train】 epoch：0 step:436/53721 loss：0.582859 2021-08-21 02:15:43,087 - INFO - main.py - train - 77 - 【train】 epoch：0 step:437/53721 loss：0.413763 2021-08-21 02:15:43,530 - INFO - main.py - train - 77 - 【train】 epoch：0 step:438/53721 loss：4.116239 2021-08-21 02:15:43,976 - INFO - main.py - train - 77 - 【train】 epoch：0 step:439/53721 loss：3.122925 2021-08-21 02:15:44,412 - INFO - main.py - train - 77 - 【train】 epoch：0 step:440/53721 loss：1.031202 2021-08-21 02:15:44,843 - INFO - main.py - train - 77 - 【train】 epoch：0 step:441/53721 loss：0.829551 2021-08-21 02:15:45,288 - INFO - main.py - train - 77 - 【train】 epoch：0 step:442/53721 loss：0.061321 2021-08-21 02:15:45,734 - INFO - main.py - train - 77 - 【train】 epoch：0 step:443/53721 loss：0.057349 2021-08-21 02:15:46,173 - INFO - main.py - train - 77 - 【train】 epoch：0 step:444/53721 loss：0.345196 2021-08-21 02:15:46,606 - INFO - main.py - train - 77 - 【train】 epoch：0 step:445/53721 loss：0.405581 2021-08-21 02:15:47,045 - INFO - main.py - train - 77 - 【train】 epoch：0 step:446/53721 loss：1.926281 2021-08-21 02:15:47,478 - INFO - main.py - train - 77 - 【train】 epoch：0 step:447/53721 loss：1.606182 2021-08-21 02:15:47,920 - INFO - main.py - train - 77 - 【train】 epoch：0 step:448/53721 loss：1.014933 2021-08-21 02:15:48,364 - INFO - main.py - train - 77 - 【train】 epoch：0 step:449/53721 loss：0.768582 2021-08-21 02:15:48,795 - INFO - main.py - train - 77 - 【train】 epoch：0 step:450/53721 loss：1.131618 2021-08-21 02:15:49,236 - INFO - main.py - train - 77 - 【train】 epoch：0 step:451/53721 loss：1.066669 2021-08-21 02:15:49,680 - INFO - main.py - train - 77 - 【train】 epoch：0 step:452/53721 loss：0.794133 2021-08-21 02:15:50,113 - INFO - main.py - train - 77 - 【train】 epoch：0 step:453/53721 loss：0.892590 2021-08-21 02:15:50,555 - INFO - main.py - train - 77 - 【train】 epoch：0 step:454/53721 loss：0.618309 2021-08-21 02:15:51,000 - INFO - main.py - train - 77 - 【train】 epoch：0 step:455/53721 loss：0.444666 2021-08-21 02:15:51,445 - INFO - main.py - train - 77 - 【train】 epoch：0 step:456/53721 loss：0.414019 2021-08-21 02:15:51,894 - INFO - main.py - train - 77 - 【train】 epoch：0 step:457/53721 loss：0.230454 2021-08-21 02:15:52,340 - INFO - main.py - train - 77 - 【train】 epoch：0 step:458/53721 loss：0.878862 2021-08-21 02:15:52,786 - INFO - main.py - train - 77 - 【train】 epoch：0 step:459/53721 loss：0.797838 2021-08-21 02:15:53,232 - INFO - main.py - train - 77 - 【train】 epoch：0 step:460/53721 loss：0.083153 2021-08-21 02:15:53,676 - INFO - main.py - train - 77 - 【train】 epoch：0 step:461/53721 loss：0.053307 2021-08-21 02:15:54,116 - INFO - main.py - train - 77 - 【train】 epoch：0 step:462/53721 loss：1.875069 2021-08-21 02:15:54,548 - INFO - main.py - train - 77 - 【train】 epoch：0 step:463/53721 loss：1.487439 2021-08-21 02:15:54,988 - INFO - main.py - train - 77 - 【train】 epoch：0 step:464/53721 loss：0.156059 2021-08-21 02:15:55,430 - INFO - main.py - train - 77 - 【train】 epoch：0 step:465/53721 loss：0.141950 2021-08-21 02:15:55,861 - INFO - main.py - train - 77 - 【train】 epoch：0 step:466/53721 loss：0.252747 2021-08-21 02:15:56,304 - INFO - main.py - train - 77 - 【train】 epoch：0 step:467/53721 loss：0.202515 2021-08-21 02:15:56,733 - INFO - main.py - train - 77 - 【train】 epoch：0 step:468/53721 loss：1.072714 2021-08-22 02:04:13,216 - INFO - main.py - train - 77 - 【train】 epoch：0 step:0/26861 loss：3.871713 2021-08-22 02:07:54,224 - INFO - main.py - train - 74 - 【train】 epoch：0 step:0/26861 loss：3.871713 2021-08-22 02:10:46,885 - INFO - main.py - train - 74 - 【train】 epoch：0 step:0/26861 loss：3.871713 2021-08-22 02:10:48,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1/26861 loss：3.553226 2021-08-22 02:10:50,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2/26861 loss：3.847489 2021-08-22 02:10:51,751 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3/26861 loss：3.446827 2021-08-22 02:10:53,390 - INFO - main.py - train - 74 - 【train】 epoch：0 step:4/26861 loss：3.847716 2021-08-22 02:10:55,027 - INFO - main.py - train - 74 - 【train】 epoch：0 step:5/26861 loss：3.695547 2021-08-22 02:10:56,658 - INFO - main.py - train - 74 - 【train】 epoch：0 step:6/26861 loss：3.689458 2021-08-22 02:10:58,287 - INFO - main.py - train - 74 - 【train】 epoch：0 step:7/26861 loss：3.398097 2021-08-22 02:10:59,921 - INFO - main.py - train - 74 - 【train】 epoch：0 step:8/26861 loss：3.854434 2021-08-22 02:11:01,551 - INFO - main.py - train - 74 - 【train】 epoch：0 step:9/26861 loss：3.577684 2021-08-22 02:11:03,175 - INFO - main.py - train - 74 - 【train】 epoch：0 step:10/26861 loss：3.720685 2021-08-22 02:11:04,799 - INFO - main.py - train - 74 - 【train】 epoch：0 step:11/26861 loss：3.335664 2021-08-22 02:11:06,424 - INFO - main.py - train - 74 - 【train】 epoch：0 step:12/26861 loss：3.885984 2021-08-22 02:11:08,037 - INFO - main.py - train - 74 - 【train】 epoch：0 step:13/26861 loss：3.593160 2021-08-22 02:11:09,657 - INFO - main.py - train - 74 - 【train】 epoch：0 step:14/26861 loss：3.391540 2021-08-22 02:11:11,281 - INFO - main.py - train - 74 - 【train】 epoch：0 step:15/26861 loss：3.404673 2021-08-22 02:11:12,916 - INFO - main.py - train - 74 - 【train】 epoch：0 step:16/26861 loss：2.507909 2021-08-22 02:11:14,548 - INFO - main.py - train - 74 - 【train】 epoch：0 step:17/26861 loss：2.409028 2021-08-22 02:11:16,170 - INFO - main.py - train - 74 - 【train】 epoch：0 step:18/26861 loss：3.119087 2021-08-22 02:11:17,780 - INFO - main.py - train - 74 - 【train】 epoch：0 step:19/26861 loss：2.973869 2021-08-22 02:11:19,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:20/26861 loss：2.623971 2021-08-22 02:11:21,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:21/26861 loss：2.543459 2021-08-22 02:11:22,638 - INFO - main.py - train - 74 - 【train】 epoch：0 step:22/26861 loss：3.408380 2021-08-22 02:11:24,253 - INFO - main.py - train - 74 - 【train】 epoch：0 step:23/26861 loss：3.366617 2021-08-22 02:11:25,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:24/26861 loss：3.693189 2021-08-22 02:11:27,506 - INFO - main.py - train - 74 - 【train】 epoch：0 step:25/26861 loss：3.538425 2021-08-22 02:11:29,124 - INFO - main.py - train - 74 - 【train】 epoch：0 step:26/26861 loss：4.812597 2021-08-22 02:11:30,733 - INFO - main.py - train - 74 - 【train】 epoch：0 step:27/26861 loss：4.690530 2021-08-22 02:11:32,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:28/26861 loss：2.560886 2021-08-22 02:11:33,956 - INFO - main.py - train - 74 - 【train】 epoch：0 step:29/26861 loss：2.427548 2021-08-22 02:11:35,562 - INFO - main.py - train - 74 - 【train】 epoch：0 step:30/26861 loss：3.218313 2021-08-22 02:11:37,173 - INFO - main.py - train - 74 - 【train】 epoch：0 step:31/26861 loss：3.143119 2021-08-22 02:11:38,781 - INFO - main.py - train - 74 - 【train】 epoch：0 step:32/26861 loss：2.901989 2021-08-22 02:11:40,380 - INFO - main.py - train - 74 - 【train】 epoch：0 step:33/26861 loss：2.712902 2021-08-22 02:11:41,994 - INFO - main.py - train - 74 - 【train】 epoch：0 step:34/26861 loss：1.910629 2021-08-22 02:11:43,602 - INFO - main.py - train - 74 - 【train】 epoch：0 step:35/26861 loss：1.668674 2021-08-22 02:11:45,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:36/26861 loss：2.839979 2021-08-22 02:11:46,822 - INFO - main.py - train - 74 - 【train】 epoch：0 step:37/26861 loss：2.499375 2021-08-22 02:11:48,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:38/26861 loss：3.482806 2021-08-22 02:11:50,047 - INFO - main.py - train - 74 - 【train】 epoch：0 step:39/26861 loss：3.172306 2021-08-22 02:11:51,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:40/26861 loss：2.413790 2021-08-22 02:11:53,259 - INFO - main.py - train - 74 - 【train】 epoch：0 step:41/26861 loss：2.218745 2021-08-22 02:11:54,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:42/26861 loss：1.644228 2021-08-22 02:11:56,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:43/26861 loss：1.532279 2021-08-22 02:11:58,070 - INFO - main.py - train - 74 - 【train】 epoch：0 step:44/26861 loss：2.046782 2021-08-22 02:11:59,678 - INFO - main.py - train - 74 - 【train】 epoch：0 step:45/26861 loss：2.078872 2021-08-22 02:12:01,286 - INFO - main.py - train - 74 - 【train】 epoch：0 step:46/26861 loss：2.860145 2021-08-22 02:12:02,891 - INFO - main.py - train - 74 - 【train】 epoch：0 step:47/26861 loss：2.801753 2021-08-22 02:12:04,498 - INFO - main.py - train - 74 - 【train】 epoch：0 step:48/26861 loss：2.398540 2021-08-22 02:12:06,098 - INFO - main.py - train - 74 - 【train】 epoch：0 step:49/26861 loss：2.413257 2021-08-22 02:12:07,710 - INFO - main.py - train - 74 - 【train】 epoch：0 step:50/26861 loss：2.638843 2021-08-22 02:12:09,318 - INFO - main.py - train - 74 - 【train】 epoch：0 step:51/26861 loss：2.570464 2021-08-22 02:12:10,925 - INFO - main.py - train - 74 - 【train】 epoch：0 step:52/26861 loss：3.015094 2021-08-22 02:12:12,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:53/26861 loss：2.770888 2021-08-22 02:12:14,151 - INFO - main.py - train - 74 - 【train】 epoch：0 step:54/26861 loss：2.168234 2021-08-22 02:12:15,756 - INFO - main.py - train - 74 - 【train】 epoch：0 step:55/26861 loss：2.167786 2021-08-22 02:12:17,357 - INFO - main.py - train - 74 - 【train】 epoch：0 step:56/26861 loss：2.265311 2021-08-22 02:12:18,958 - INFO - main.py - train - 74 - 【train】 epoch：0 step:57/26861 loss：1.976778 2021-08-22 02:12:20,570 - INFO - main.py - train - 74 - 【train】 epoch：0 step:58/26861 loss：2.200427 2021-08-22 02:12:22,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:59/26861 loss：2.064728 2021-08-22 02:12:23,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:60/26861 loss：1.751666 2021-08-22 02:12:25,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:61/26861 loss：1.928290 2021-08-22 02:12:26,990 - INFO - main.py - train - 74 - 【train】 epoch：0 step:62/26861 loss：2.001874 2021-08-22 02:12:28,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:63/26861 loss：1.744833 2021-08-22 02:12:30,202 - INFO - main.py - train - 74 - 【train】 epoch：0 step:64/26861 loss：3.052425 2021-08-22 02:12:31,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:65/26861 loss：2.853979 2021-08-22 02:12:33,409 - INFO - main.py - train - 74 - 【train】 epoch：0 step:66/26861 loss：2.198864 2021-08-22 02:12:35,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:67/26861 loss：1.881151 2021-08-22 02:12:36,629 - INFO - main.py - train - 74 - 【train】 epoch：0 step:68/26861 loss：3.175004 2021-08-22 02:12:38,234 - INFO - main.py - train - 74 - 【train】 epoch：0 step:69/26861 loss：3.164885 2021-08-22 02:12:39,840 - INFO - main.py - train - 74 - 【train】 epoch：0 step:70/26861 loss：1.875186 2021-08-22 02:12:41,455 - INFO - main.py - train - 74 - 【train】 epoch：0 step:71/26861 loss：1.846274 2021-08-22 02:12:43,059 - INFO - main.py - train - 74 - 【train】 epoch：0 step:72/26861 loss：2.091690 2021-08-22 02:12:44,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:73/26861 loss：1.992418 2021-08-22 02:12:46,275 - INFO - main.py - train - 74 - 【train】 epoch：0 step:74/26861 loss：3.058359 2021-08-22 02:12:47,881 - INFO - main.py - train - 74 - 【train】 epoch：0 step:75/26861 loss：2.495291 2021-08-22 02:12:49,490 - INFO - main.py - train - 74 - 【train】 epoch：0 step:76/26861 loss：2.561932 2021-08-22 02:12:51,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:77/26861 loss：2.206700 2021-08-22 02:12:52,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:78/26861 loss：3.246675 2021-08-22 02:12:54,308 - INFO - main.py - train - 74 - 【train】 epoch：0 step:79/26861 loss：2.932337 2021-08-22 02:12:55,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:80/26861 loss：2.265726 2021-08-22 02:12:57,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:81/26861 loss：2.104721 2021-08-22 02:12:59,130 - INFO - main.py - train - 74 - 【train】 epoch：0 step:82/26861 loss：2.276955 2021-08-22 02:13:00,747 - INFO - main.py - train - 74 - 【train】 epoch：0 step:83/26861 loss：2.101730 2021-08-22 02:13:02,346 - INFO - main.py - train - 74 - 【train】 epoch：0 step:84/26861 loss：1.761006 2021-08-22 02:13:03,943 - INFO - main.py - train - 74 - 【train】 epoch：0 step:85/26861 loss：1.518919 2021-08-22 02:13:05,544 - INFO - main.py - train - 74 - 【train】 epoch：0 step:86/26861 loss：3.464727 2021-08-22 02:13:07,152 - INFO - main.py - train - 74 - 【train】 epoch：0 step:87/26861 loss：3.128826 2021-08-22 02:13:08,769 - INFO - main.py - train - 74 - 【train】 epoch：0 step:88/26861 loss：2.477906 2021-08-22 02:13:10,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:89/26861 loss：2.458799 2021-08-22 02:13:11,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:90/26861 loss：2.227661 2021-08-22 02:13:13,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:91/26861 loss：2.089053 2021-08-22 02:13:15,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:92/26861 loss：2.674550 2021-08-22 02:13:16,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:93/26861 loss：1.936519 2021-08-22 02:13:18,457 - INFO - main.py - train - 74 - 【train】 epoch：0 step:94/26861 loss：1.034458 2021-08-22 02:13:20,095 - INFO - main.py - train - 74 - 【train】 epoch：0 step:95/26861 loss：0.446986 2021-08-22 02:13:21,731 - INFO - main.py - train - 74 - 【train】 epoch：0 step:96/26861 loss：0.760773 2021-08-22 02:13:23,360 - INFO - main.py - train - 74 - 【train】 epoch：0 step:97/26861 loss：0.733847 2021-08-22 02:13:25,000 - INFO - main.py - train - 74 - 【train】 epoch：0 step:98/26861 loss：2.333756 2021-08-22 02:13:26,647 - INFO - main.py - train - 74 - 【train】 epoch：0 step:99/26861 loss：2.121571 2021-08-22 02:13:28,283 - INFO - main.py - train - 74 - 【train】 epoch：0 step:100/26861 loss：1.511965 2021-08-22 02:13:29,923 - INFO - main.py - train - 74 - 【train】 epoch：0 step:101/26861 loss：1.387739 2021-08-22 02:13:31,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:102/26861 loss：2.249066 2021-08-22 02:13:33,177 - INFO - main.py - train - 74 - 【train】 epoch：0 step:103/26861 loss：2.263341 2021-08-22 02:13:34,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:104/26861 loss：2.298881 2021-08-22 02:13:36,387 - INFO - main.py - train - 74 - 【train】 epoch：0 step:105/26861 loss：1.430516 2021-08-22 02:13:37,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:106/26861 loss：1.785924 2021-08-22 02:13:39,589 - INFO - main.py - train - 74 - 【train】 epoch：0 step:107/26861 loss：1.654369 2021-08-22 02:13:41,192 - INFO - main.py - train - 74 - 【train】 epoch：0 step:108/26861 loss：3.148817 2021-08-22 02:13:42,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:109/26861 loss：2.625090 2021-08-22 02:13:44,399 - INFO - main.py - train - 74 - 【train】 epoch：0 step:110/26861 loss：2.015748 2021-08-22 02:13:45,998 - INFO - main.py - train - 74 - 【train】 epoch：0 step:111/26861 loss：1.916797 2021-08-22 02:13:47,617 - INFO - main.py - train - 74 - 【train】 epoch：0 step:112/26861 loss：2.558492 2021-08-22 02:13:49,235 - INFO - main.py - train - 74 - 【train】 epoch：0 step:113/26861 loss：2.139886 2021-08-22 02:13:50,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:114/26861 loss：1.200817 2021-08-22 02:13:52,442 - INFO - main.py - train - 74 - 【train】 epoch：0 step:115/26861 loss：1.075712 2021-08-22 02:13:54,047 - INFO - main.py - train - 74 - 【train】 epoch：0 step:116/26861 loss：1.708529 2021-08-22 02:13:55,650 - INFO - main.py - train - 74 - 【train】 epoch：0 step:117/26861 loss：1.731808 2021-08-22 02:13:57,247 - INFO - main.py - train - 74 - 【train】 epoch：0 step:118/26861 loss：1.981368 2021-08-22 02:13:58,854 - INFO - main.py - train - 74 - 【train】 epoch：0 step:119/26861 loss：1.735142 2021-08-22 02:14:00,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:120/26861 loss：2.435324 2021-08-22 02:14:02,084 - INFO - main.py - train - 74 - 【train】 epoch：0 step:121/26861 loss：2.300822 2021-08-22 02:14:03,684 - INFO - main.py - train - 74 - 【train】 epoch：0 step:122/26861 loss：2.277408 2021-08-22 02:14:05,286 - INFO - main.py - train - 74 - 【train】 epoch：0 step:123/26861 loss：2.225678 2021-08-22 02:14:06,892 - INFO - main.py - train - 74 - 【train】 epoch：0 step:124/26861 loss：1.528372 2021-08-22 02:14:08,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:125/26861 loss：1.449397 2021-08-22 02:14:10,103 - INFO - main.py - train - 74 - 【train】 epoch：0 step:126/26861 loss：1.325629 2021-08-22 02:14:11,705 - INFO - main.py - train - 74 - 【train】 epoch：0 step:127/26861 loss：1.398346 2021-08-22 02:14:13,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:128/26861 loss：1.502716 2021-08-22 02:14:14,921 - INFO - main.py - train - 74 - 【train】 epoch：0 step:129/26861 loss：1.333978 2021-08-22 02:14:16,521 - INFO - main.py - train - 74 - 【train】 epoch：0 step:130/26861 loss：1.219195 2021-08-22 02:14:18,128 - INFO - main.py - train - 74 - 【train】 epoch：0 step:131/26861 loss：1.100988 2021-08-22 02:14:19,738 - INFO - main.py - train - 74 - 【train】 epoch：0 step:132/26861 loss：1.549850 2021-08-22 02:14:21,344 - INFO - main.py - train - 74 - 【train】 epoch：0 step:133/26861 loss：1.397277 2021-08-22 02:14:22,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:134/26861 loss：2.137078 2021-08-22 02:14:24,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:135/26861 loss：2.150155 2021-08-22 02:14:26,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:136/26861 loss：1.164771 2021-08-22 02:14:27,772 - INFO - main.py - train - 74 - 【train】 epoch：0 step:137/26861 loss：1.015203 2021-08-22 02:14:29,376 - INFO - main.py - train - 74 - 【train】 epoch：0 step:138/26861 loss：1.492158 2021-08-22 02:14:30,986 - INFO - main.py - train - 74 - 【train】 epoch：0 step:139/26861 loss：1.574528 2021-08-22 02:14:32,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:140/26861 loss：1.556406 2021-08-22 02:14:34,203 - INFO - main.py - train - 74 - 【train】 epoch：0 step:141/26861 loss：1.593291 2021-08-22 02:14:35,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:142/26861 loss：0.427689 2021-08-22 02:14:37,410 - INFO - main.py - train - 74 - 【train】 epoch：0 step:143/26861 loss：0.325600 2021-08-22 02:14:39,013 - INFO - main.py - train - 74 - 【train】 epoch：0 step:144/26861 loss：1.016948 2021-08-22 02:14:40,616 - INFO - main.py - train - 74 - 【train】 epoch：0 step:145/26861 loss：1.064268 2021-08-22 02:14:42,222 - INFO - main.py - train - 74 - 【train】 epoch：0 step:146/26861 loss：1.994802 2021-08-22 02:14:43,829 - INFO - main.py - train - 74 - 【train】 epoch：0 step:147/26861 loss：1.833105 2021-08-22 02:14:45,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:148/26861 loss：2.322971 2021-08-22 02:14:47,026 - INFO - main.py - train - 74 - 【train】 epoch：0 step:149/26861 loss：2.180504 2021-08-22 02:14:48,634 - INFO - main.py - train - 74 - 【train】 epoch：0 step:150/26861 loss：1.070897 2021-08-22 02:14:50,229 - INFO - main.py - train - 74 - 【train】 epoch：0 step:151/26861 loss：1.042550 2021-08-22 02:14:51,832 - INFO - main.py - train - 74 - 【train】 epoch：0 step:152/26861 loss：0.911973 2021-08-22 02:14:53,433 - INFO - main.py - train - 74 - 【train】 epoch：0 step:153/26861 loss：0.829611 2021-08-22 02:14:55,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:154/26861 loss：1.333769 2021-08-22 02:14:56,632 - INFO - main.py - train - 74 - 【train】 epoch：0 step:155/26861 loss：1.341348 2021-08-22 02:14:58,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:156/26861 loss：3.304440 2021-08-22 02:14:59,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:157/26861 loss：3.067371 2021-08-22 02:15:01,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:158/26861 loss：1.407171 2021-08-22 02:15:03,069 - INFO - main.py - train - 74 - 【train】 epoch：0 step:159/26861 loss：1.421953 2021-08-22 02:15:04,677 - INFO - main.py - train - 74 - 【train】 epoch：0 step:160/26861 loss：1.483050 2021-08-22 02:15:06,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:161/26861 loss：1.486681 2021-08-22 02:15:07,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:162/26861 loss：0.723965 2021-08-22 02:15:09,489 - INFO - main.py - train - 74 - 【train】 epoch：0 step:163/26861 loss：0.766137 2021-08-22 02:15:11,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:164/26861 loss：1.227495 2021-08-22 02:15:12,701 - INFO - main.py - train - 74 - 【train】 epoch：0 step:165/26861 loss：1.291532 2021-08-22 02:15:14,310 - INFO - main.py - train - 74 - 【train】 epoch：0 step:166/26861 loss：0.475314 2021-08-22 02:15:15,913 - INFO - main.py - train - 74 - 【train】 epoch：0 step:167/26861 loss：0.439850 2021-08-22 02:15:17,521 - INFO - main.py - train - 74 - 【train】 epoch：0 step:168/26861 loss：1.395181 2021-08-22 02:15:19,122 - INFO - main.py - train - 74 - 【train】 epoch：0 step:169/26861 loss：1.202137 2021-08-22 02:15:20,738 - INFO - main.py - train - 74 - 【train】 epoch：0 step:170/26861 loss：1.171771 2021-08-22 02:15:22,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:171/26861 loss：1.183440 2021-08-22 02:15:23,954 - INFO - main.py - train - 74 - 【train】 epoch：0 step:172/26861 loss：1.251794 2021-08-22 02:15:25,561 - INFO - main.py - train - 74 - 【train】 epoch：0 step:173/26861 loss：1.210286 2021-08-22 02:15:27,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:174/26861 loss：1.186426 2021-08-22 02:15:28,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:175/26861 loss：0.947672 2021-08-22 02:15:30,374 - INFO - main.py - train - 74 - 【train】 epoch：0 step:176/26861 loss：0.990556 2021-08-22 02:15:31,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:177/26861 loss：0.968417 2021-08-22 02:15:33,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:178/26861 loss：1.692835 2021-08-22 02:15:35,189 - INFO - main.py - train - 74 - 【train】 epoch：0 step:179/26861 loss：1.685589 2021-08-22 02:15:36,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:180/26861 loss：1.296057 2021-08-22 02:15:38,419 - INFO - main.py - train - 74 - 【train】 epoch：0 step:181/26861 loss：1.108164 2021-08-22 02:15:40,064 - INFO - main.py - train - 74 - 【train】 epoch：0 step:182/26861 loss：1.545717 2021-08-22 02:15:41,710 - INFO - main.py - train - 74 - 【train】 epoch：0 step:183/26861 loss：1.450899 2021-08-22 02:15:43,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:184/26861 loss：1.072894 2021-08-22 02:15:44,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:185/26861 loss：0.975576 2021-08-22 02:15:46,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:186/26861 loss：1.575855 2021-08-22 02:15:48,148 - INFO - main.py - train - 74 - 【train】 epoch：0 step:187/26861 loss：1.417663 2021-08-22 02:15:49,746 - INFO - main.py - train - 74 - 【train】 epoch：0 step:188/26861 loss：2.116520 2021-08-22 02:15:51,349 - INFO - main.py - train - 74 - 【train】 epoch：0 step:189/26861 loss：1.382143 2021-08-22 02:15:52,961 - INFO - main.py - train - 74 - 【train】 epoch：0 step:190/26861 loss：1.700004 2021-08-22 02:15:54,571 - INFO - main.py - train - 74 - 【train】 epoch：0 step:191/26861 loss：1.562486 2021-08-22 02:15:56,175 - INFO - main.py - train - 74 - 【train】 epoch：0 step:192/26861 loss：1.150621 2021-08-22 02:15:57,785 - INFO - main.py - train - 74 - 【train】 epoch：0 step:193/26861 loss：0.924886 2021-08-22 02:15:59,394 - INFO - main.py - train - 74 - 【train】 epoch：0 step:194/26861 loss：1.489106 2021-08-22 02:16:01,000 - INFO - main.py - train - 74 - 【train】 epoch：0 step:195/26861 loss：1.435854 2021-08-22 02:16:02,603 - INFO - main.py - train - 74 - 【train】 epoch：0 step:196/26861 loss：0.403787 2021-08-22 02:16:04,209 - INFO - main.py - train - 74 - 【train】 epoch：0 step:197/26861 loss：0.424682 2021-08-22 02:16:05,819 - INFO - main.py - train - 74 - 【train】 epoch：0 step:198/26861 loss：0.693608 2021-08-22 02:16:07,425 - INFO - main.py - train - 74 - 【train】 epoch：0 step:199/26861 loss：0.777840 2021-08-22 02:16:09,022 - INFO - main.py - train - 74 - 【train】 epoch：0 step:200/26861 loss：0.752913 2021-08-22 02:16:10,631 - INFO - main.py - train - 74 - 【train】 epoch：0 step:201/26861 loss：0.707055 2021-08-22 02:16:12,233 - INFO - main.py - train - 74 - 【train】 epoch：0 step:202/26861 loss：1.024532 2021-08-22 02:16:13,838 - INFO - main.py - train - 74 - 【train】 epoch：0 step:203/26861 loss：1.083793 2021-08-22 02:16:15,446 - INFO - main.py - train - 74 - 【train】 epoch：0 step:204/26861 loss：0.532311 2021-08-22 02:16:17,057 - INFO - main.py - train - 74 - 【train】 epoch：0 step:205/26861 loss：0.349057 2021-08-22 02:16:18,669 - INFO - main.py - train - 74 - 【train】 epoch：0 step:206/26861 loss：1.398644 2021-08-22 02:16:20,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:207/26861 loss：1.051102 2021-08-22 02:16:21,904 - INFO - main.py - train - 74 - 【train】 epoch：0 step:208/26861 loss：0.809927 2021-08-22 02:16:23,534 - INFO - main.py - train - 74 - 【train】 epoch：0 step:209/26861 loss：0.853914 2021-08-22 02:16:25,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:210/26861 loss：0.443116 2021-08-22 02:16:26,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:211/26861 loss：0.383247 2021-08-22 02:16:28,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:212/26861 loss：0.816229 2021-08-22 02:16:29,965 - INFO - main.py - train - 74 - 【train】 epoch：0 step:213/26861 loss：0.753187 2021-08-22 02:16:31,575 - INFO - main.py - train - 74 - 【train】 epoch：0 step:214/26861 loss：0.929706 2021-08-22 02:16:33,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:215/26861 loss：0.889861 2021-08-22 02:16:34,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:216/26861 loss：0.693661 2021-08-22 02:16:36,407 - INFO - main.py - train - 74 - 【train】 epoch：0 step:217/26861 loss：0.469591 2021-08-22 02:16:38,009 - INFO - main.py - train - 74 - 【train】 epoch：0 step:218/26861 loss：2.449661 2021-08-22 02:16:39,612 - INFO - main.py - train - 74 - 【train】 epoch：0 step:219/26861 loss：2.051485 2021-08-22 02:16:41,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:220/26861 loss：0.613573 2021-08-22 02:16:42,815 - INFO - main.py - train - 74 - 【train】 epoch：0 step:221/26861 loss：0.595242 2021-08-22 02:16:44,417 - INFO - main.py - train - 74 - 【train】 epoch：0 step:222/26861 loss：1.105332 2021-08-22 02:16:46,024 - INFO - main.py - train - 74 - 【train】 epoch：0 step:223/26861 loss：0.782947 2021-08-22 02:16:47,632 - INFO - main.py - train - 74 - 【train】 epoch：0 step:224/26861 loss：1.126497 2021-08-22 02:16:49,230 - INFO - main.py - train - 74 - 【train】 epoch：0 step:225/26861 loss：0.953309 2021-08-22 02:16:50,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:226/26861 loss：0.937192 2021-08-22 02:16:52,455 - INFO - main.py - train - 74 - 【train】 epoch：0 step:227/26861 loss：0.958879 2021-08-22 02:16:54,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:228/26861 loss：0.833035 2021-08-22 02:16:55,703 - INFO - main.py - train - 74 - 【train】 epoch：0 step:229/26861 loss：0.770137 2021-08-22 02:16:57,312 - INFO - main.py - train - 74 - 【train】 epoch：0 step:230/26861 loss：0.744602 2021-08-22 02:16:58,919 - INFO - main.py - train - 74 - 【train】 epoch：0 step:231/26861 loss：0.744316 2021-08-22 02:17:00,521 - INFO - main.py - train - 74 - 【train】 epoch：0 step:232/26861 loss：0.354871 2021-08-22 02:17:02,129 - INFO - main.py - train - 74 - 【train】 epoch：0 step:233/26861 loss：0.336799 2021-08-22 02:17:03,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:234/26861 loss：1.103823 2021-08-22 02:17:05,341 - INFO - main.py - train - 74 - 【train】 epoch：0 step:235/26861 loss：0.854648 2021-08-22 02:17:06,949 - INFO - main.py - train - 74 - 【train】 epoch：0 step:236/26861 loss：0.442341 2021-08-22 02:17:08,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:237/26861 loss：0.489096 2021-08-22 02:17:10,182 - INFO - main.py - train - 74 - 【train】 epoch：0 step:238/26861 loss：1.187228 2021-08-22 02:17:11,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:239/26861 loss：1.095626 2021-08-22 02:17:13,399 - INFO - main.py - train - 74 - 【train】 epoch：0 step:240/26861 loss：1.265073 2021-08-22 02:17:15,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:241/26861 loss：1.112602 2021-08-22 02:17:16,598 - INFO - main.py - train - 74 - 【train】 epoch：0 step:242/26861 loss：0.851067 2021-08-22 02:17:18,205 - INFO - main.py - train - 74 - 【train】 epoch：0 step:243/26861 loss：0.817657 2021-08-22 02:17:19,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:244/26861 loss：0.566206 2021-08-22 02:17:21,420 - INFO - main.py - train - 74 - 【train】 epoch：0 step:245/26861 loss：0.482804 2021-08-22 02:17:23,033 - INFO - main.py - train - 74 - 【train】 epoch：0 step:246/26861 loss：1.437895 2021-08-22 02:17:24,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:247/26861 loss：0.612645 2021-08-22 02:17:26,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:248/26861 loss：1.225699 2021-08-22 02:17:27,853 - INFO - main.py - train - 74 - 【train】 epoch：0 step:249/26861 loss：0.765839 2021-08-22 02:17:29,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:250/26861 loss：0.034182 2021-08-22 02:17:31,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:251/26861 loss：0.033324 2021-08-22 02:17:32,708 - INFO - main.py - train - 74 - 【train】 epoch：0 step:252/26861 loss：0.819809 2021-08-22 02:17:34,329 - INFO - main.py - train - 74 - 【train】 epoch：0 step:253/26861 loss：0.804897 2021-08-22 02:17:35,937 - INFO - main.py - train - 74 - 【train】 epoch：0 step:254/26861 loss：1.683641 2021-08-22 02:17:37,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:255/26861 loss：0.942720 2021-08-22 02:17:39,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:256/26861 loss：1.777996 2021-08-22 02:17:40,751 - INFO - main.py - train - 74 - 【train】 epoch：0 step:257/26861 loss：1.616402 2021-08-22 02:17:42,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:258/26861 loss：1.645957 2021-08-22 02:17:43,955 - INFO - main.py - train - 74 - 【train】 epoch：0 step:259/26861 loss：1.553137 2021-08-22 02:17:45,570 - INFO - main.py - train - 74 - 【train】 epoch：0 step:260/26861 loss：1.226935 2021-08-22 02:17:47,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:261/26861 loss：0.888893 2021-08-22 02:17:48,780 - INFO - main.py - train - 74 - 【train】 epoch：0 step:262/26861 loss：0.972488 2021-08-22 02:17:50,385 - INFO - main.py - train - 74 - 【train】 epoch：0 step:263/26861 loss：0.938251 2021-08-22 02:17:52,005 - INFO - main.py - train - 74 - 【train】 epoch：0 step:264/26861 loss：0.949319 2021-08-22 02:17:53,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:265/26861 loss：1.063216 2021-08-22 02:17:55,235 - INFO - main.py - train - 74 - 【train】 epoch：0 step:266/26861 loss：0.953501 2021-08-22 02:17:56,844 - INFO - main.py - train - 74 - 【train】 epoch：0 step:267/26861 loss：1.112357 2021-08-22 02:17:58,462 - INFO - main.py - train - 74 - 【train】 epoch：0 step:268/26861 loss：1.730602 2021-08-22 02:18:00,070 - INFO - main.py - train - 74 - 【train】 epoch：0 step:269/26861 loss：1.287374 2021-08-22 02:18:01,681 - INFO - main.py - train - 74 - 【train】 epoch：0 step:270/26861 loss：0.665767 2021-08-22 02:18:03,288 - INFO - main.py - train - 74 - 【train】 epoch：0 step:271/26861 loss：0.660157 2021-08-22 02:18:04,911 - INFO - main.py - train - 74 - 【train】 epoch：0 step:272/26861 loss：0.394073 2021-08-22 02:18:06,542 - INFO - main.py - train - 74 - 【train】 epoch：0 step:273/26861 loss：0.350958 2021-08-22 02:18:08,153 - INFO - main.py - train - 74 - 【train】 epoch：0 step:274/26861 loss：1.098894 2021-08-22 02:18:09,754 - INFO - main.py - train - 74 - 【train】 epoch：0 step:275/26861 loss：0.906025 2021-08-22 02:18:11,368 - INFO - main.py - train - 74 - 【train】 epoch：0 step:276/26861 loss：1.148221 2021-08-22 02:18:12,977 - INFO - main.py - train - 74 - 【train】 epoch：0 step:277/26861 loss：1.036062 2021-08-22 02:18:14,583 - INFO - main.py - train - 74 - 【train】 epoch：0 step:278/26861 loss：1.005752 2021-08-22 02:18:16,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:279/26861 loss：0.904643 2021-08-22 02:18:17,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:280/26861 loss：0.991316 2021-08-22 02:18:19,390 - INFO - main.py - train - 74 - 【train】 epoch：0 step:281/26861 loss：0.879912 2021-08-22 02:18:20,998 - INFO - main.py - train - 74 - 【train】 epoch：0 step:282/26861 loss：0.609837 2021-08-22 02:18:22,604 - INFO - main.py - train - 74 - 【train】 epoch：0 step:283/26861 loss：0.625944 2021-08-22 02:18:24,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:284/26861 loss：0.571535 2021-08-22 02:18:25,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:285/26861 loss：0.441039 2021-08-22 02:18:27,427 - INFO - main.py - train - 74 - 【train】 epoch：0 step:286/26861 loss：0.918937 2021-08-22 02:18:29,027 - INFO - main.py - train - 74 - 【train】 epoch：0 step:287/26861 loss：0.833298 2021-08-22 02:18:30,633 - INFO - main.py - train - 74 - 【train】 epoch：0 step:288/26861 loss：1.397583 2021-08-22 02:18:32,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:289/26861 loss：1.293350 2021-08-22 02:18:33,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:290/26861 loss：0.882050 2021-08-22 02:18:35,457 - INFO - main.py - train - 74 - 【train】 epoch：0 step:291/26861 loss：0.775879 2021-08-22 02:18:37,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:292/26861 loss：1.295624 2021-08-22 02:18:38,669 - INFO - main.py - train - 74 - 【train】 epoch：0 step:293/26861 loss：1.070225 2021-08-22 02:18:40,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:294/26861 loss：0.650078 2021-08-22 02:18:41,896 - INFO - main.py - train - 74 - 【train】 epoch：0 step:295/26861 loss：0.525070 2021-08-22 02:18:43,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:296/26861 loss：0.057886 2021-08-22 02:18:45,136 - INFO - main.py - train - 74 - 【train】 epoch：0 step:297/26861 loss：0.057482 2021-08-22 02:18:46,750 - INFO - main.py - train - 74 - 【train】 epoch：0 step:298/26861 loss：0.152117 2021-08-22 02:18:48,368 - INFO - main.py - train - 74 - 【train】 epoch：0 step:299/26861 loss：0.140266 2021-08-22 02:18:49,969 - INFO - main.py - train - 74 - 【train】 epoch：0 step:300/26861 loss：0.955612 2021-08-22 02:18:51,574 - INFO - main.py - train - 74 - 【train】 epoch：0 step:301/26861 loss：0.810442 2021-08-22 02:18:53,203 - INFO - main.py - train - 74 - 【train】 epoch：0 step:302/26861 loss：1.208935 2021-08-22 02:18:54,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:303/26861 loss：1.079340 2021-08-22 02:18:56,430 - INFO - main.py - train - 74 - 【train】 epoch：0 step:304/26861 loss：0.675035 2021-08-22 02:18:58,042 - INFO - main.py - train - 74 - 【train】 epoch：0 step:305/26861 loss：0.495038 2021-08-22 02:18:59,650 - INFO - main.py - train - 74 - 【train】 epoch：0 step:306/26861 loss：1.004882 2021-08-22 02:19:01,254 - INFO - main.py - train - 74 - 【train】 epoch：0 step:307/26861 loss：0.967269 2021-08-22 02:19:02,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:308/26861 loss：0.912968 2021-08-22 02:19:04,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:309/26861 loss：0.829073 2021-08-22 02:19:06,071 - INFO - main.py - train - 74 - 【train】 epoch：0 step:310/26861 loss：0.604312 2021-08-22 02:19:07,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:311/26861 loss：0.489272 2021-08-22 02:19:09,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:312/26861 loss：1.731334 2021-08-22 02:19:10,877 - INFO - main.py - train - 74 - 【train】 epoch：0 step:313/26861 loss：1.444967 2021-08-22 02:19:12,479 - INFO - main.py - train - 74 - 【train】 epoch：0 step:314/26861 loss：1.459198 2021-08-22 02:19:14,084 - INFO - main.py - train - 74 - 【train】 epoch：0 step:315/26861 loss：1.183138 2021-08-22 02:19:15,697 - INFO - main.py - train - 74 - 【train】 epoch：0 step:316/26861 loss：2.667064 2021-08-22 02:19:17,315 - INFO - main.py - train - 74 - 【train】 epoch：0 step:317/26861 loss：2.133322 2021-08-22 02:19:18,922 - INFO - main.py - train - 74 - 【train】 epoch：0 step:318/26861 loss：0.763976 2021-08-22 02:19:20,522 - INFO - main.py - train - 74 - 【train】 epoch：0 step:319/26861 loss：0.643981 2021-08-22 02:19:22,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:320/26861 loss：0.937954 2021-08-22 02:19:23,746 - INFO - main.py - train - 74 - 【train】 epoch：0 step:321/26861 loss：0.765980 2021-08-22 02:19:25,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:322/26861 loss：1.108898 2021-08-22 02:19:26,958 - INFO - main.py - train - 74 - 【train】 epoch：0 step:323/26861 loss：1.102515 2021-08-22 02:19:28,559 - INFO - main.py - train - 74 - 【train】 epoch：0 step:324/26861 loss：1.366665 2021-08-22 02:19:30,169 - INFO - main.py - train - 74 - 【train】 epoch：0 step:325/26861 loss：0.956048 2021-08-22 02:19:31,779 - INFO - main.py - train - 74 - 【train】 epoch：0 step:326/26861 loss：0.510595 2021-08-22 02:19:33,385 - INFO - main.py - train - 74 - 【train】 epoch：0 step:327/26861 loss：0.468671 2021-08-22 02:19:35,001 - INFO - main.py - train - 74 - 【train】 epoch：0 step:328/26861 loss：0.411533 2021-08-22 02:19:36,610 - INFO - main.py - train - 74 - 【train】 epoch：0 step:329/26861 loss：0.381671 2021-08-22 02:19:38,221 - INFO - main.py - train - 74 - 【train】 epoch：0 step:330/26861 loss：0.894501 2021-08-22 02:19:39,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:331/26861 loss：0.750643 2021-08-22 02:19:41,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:332/26861 loss：0.729329 2021-08-22 02:19:43,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:333/26861 loss：0.738138 2021-08-22 02:19:44,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:334/26861 loss：1.225037 2021-08-22 02:19:46,241 - INFO - main.py - train - 74 - 【train】 epoch：0 step:335/26861 loss：0.938987 2021-08-22 02:19:47,848 - INFO - main.py - train - 74 - 【train】 epoch：0 step:336/26861 loss：0.629762 2021-08-22 02:19:49,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:337/26861 loss：0.529096 2021-08-22 02:19:51,068 - INFO - main.py - train - 74 - 【train】 epoch：0 step:338/26861 loss：1.015763 2021-08-22 02:19:52,678 - INFO - main.py - train - 74 - 【train】 epoch：0 step:339/26861 loss：0.887170 2021-08-22 02:19:54,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:340/26861 loss：1.174530 2021-08-22 02:19:55,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:341/26861 loss：0.983100 2021-08-22 02:19:57,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:342/26861 loss：1.045447 2021-08-22 02:19:59,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:343/26861 loss：0.978480 2021-08-22 02:20:00,705 - INFO - main.py - train - 74 - 【train】 epoch：0 step:344/26861 loss：0.842063 2021-08-22 02:20:02,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:345/26861 loss：0.725653 2021-08-22 02:20:03,936 - INFO - main.py - train - 74 - 【train】 epoch：0 step:346/26861 loss：0.715718 2021-08-22 02:20:05,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:347/26861 loss：0.654840 2021-08-22 02:20:07,197 - INFO - main.py - train - 74 - 【train】 epoch：0 step:348/26861 loss：0.398233 2021-08-22 02:20:08,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:349/26861 loss：0.376298 2021-08-22 02:20:10,440 - INFO - main.py - train - 74 - 【train】 epoch：0 step:350/26861 loss：0.447436 2021-08-22 02:20:12,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:351/26861 loss：0.386607 2021-08-22 02:20:13,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:352/26861 loss：1.235255 2021-08-22 02:20:15,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:353/26861 loss：1.019101 2021-08-22 02:20:16,861 - INFO - main.py - train - 74 - 【train】 epoch：0 step:354/26861 loss：1.150685 2021-08-22 02:20:18,465 - INFO - main.py - train - 74 - 【train】 epoch：0 step:355/26861 loss：1.198531 2021-08-22 02:20:20,083 - INFO - main.py - train - 74 - 【train】 epoch：0 step:356/26861 loss：0.744123 2021-08-22 02:20:21,691 - INFO - main.py - train - 74 - 【train】 epoch：0 step:357/26861 loss：0.503939 2021-08-22 02:20:23,298 - INFO - main.py - train - 74 - 【train】 epoch：0 step:358/26861 loss：0.690719 2021-08-22 02:20:24,906 - INFO - main.py - train - 74 - 【train】 epoch：0 step:359/26861 loss：0.572608 2021-08-22 02:20:26,537 - INFO - main.py - train - 74 - 【train】 epoch：0 step:360/26861 loss：0.231294 2021-08-22 02:20:28,165 - INFO - main.py - train - 74 - 【train】 epoch：0 step:361/26861 loss：0.197713 2021-08-22 02:20:29,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:362/26861 loss：0.376363 2021-08-22 02:20:31,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:363/26861 loss：0.340741 2021-08-22 02:20:32,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:364/26861 loss：1.429721 2021-08-22 02:20:34,587 - INFO - main.py - train - 74 - 【train】 epoch：0 step:365/26861 loss：1.097708 2021-08-22 02:20:36,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:366/26861 loss：0.771353 2021-08-22 02:20:37,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:367/26861 loss：0.740810 2021-08-22 02:20:39,410 - INFO - main.py - train - 74 - 【train】 epoch：0 step:368/26861 loss：1.104059 2021-08-22 02:20:41,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:369/26861 loss：0.968107 2021-08-22 02:20:42,623 - INFO - main.py - train - 74 - 【train】 epoch：0 step:370/26861 loss：0.334955 2021-08-22 02:20:44,229 - INFO - main.py - train - 74 - 【train】 epoch：0 step:371/26861 loss：0.407298 2021-08-22 02:20:45,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:372/26861 loss：0.314304 2021-08-22 02:20:47,455 - INFO - main.py - train - 74 - 【train】 epoch：0 step:373/26861 loss：0.257237 2021-08-22 02:20:49,059 - INFO - main.py - train - 74 - 【train】 epoch：0 step:374/26861 loss：0.840204 2021-08-22 02:20:50,664 - INFO - main.py - train - 74 - 【train】 epoch：0 step:375/26861 loss：0.797998 2021-08-22 02:20:52,267 - INFO - main.py - train - 74 - 【train】 epoch：0 step:376/26861 loss：0.682740 2021-08-22 02:20:53,868 - INFO - main.py - train - 74 - 【train】 epoch：0 step:377/26861 loss：0.564887 2021-08-22 02:20:55,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:378/26861 loss：1.055013 2021-08-22 02:20:57,082 - INFO - main.py - train - 74 - 【train】 epoch：0 step:379/26861 loss：0.939821 2021-08-22 02:20:58,692 - INFO - main.py - train - 74 - 【train】 epoch：0 step:380/26861 loss：0.819714 2021-08-22 02:21:00,299 - INFO - main.py - train - 74 - 【train】 epoch：0 step:381/26861 loss：0.848132 2021-08-22 02:21:01,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:382/26861 loss：0.668555 2021-08-22 02:21:03,509 - INFO - main.py - train - 74 - 【train】 epoch：0 step:383/26861 loss：0.499606 2021-08-22 02:21:05,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:384/26861 loss：0.667609 2021-08-22 02:21:06,724 - INFO - main.py - train - 74 - 【train】 epoch：0 step:385/26861 loss：0.578906 2021-08-22 02:21:08,323 - INFO - main.py - train - 74 - 【train】 epoch：0 step:386/26861 loss：0.559482 2021-08-22 02:21:09,925 - INFO - main.py - train - 74 - 【train】 epoch：0 step:387/26861 loss：0.483726 2021-08-22 02:21:11,531 - INFO - main.py - train - 74 - 【train】 epoch：0 step:388/26861 loss：1.068037 2021-08-22 02:21:13,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:389/26861 loss：0.897927 2021-08-22 02:21:14,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:390/26861 loss：0.475717 2021-08-22 02:21:16,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:391/26861 loss：0.392470 2021-08-22 02:21:17,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:392/26861 loss：0.153155 2021-08-22 02:21:19,606 - INFO - main.py - train - 74 - 【train】 epoch：0 step:393/26861 loss：0.107935 2021-08-22 02:21:21,205 - INFO - main.py - train - 74 - 【train】 epoch：0 step:394/26861 loss：0.580366 2021-08-22 02:21:22,809 - INFO - main.py - train - 74 - 【train】 epoch：0 step:395/26861 loss：0.649270 2021-08-22 02:21:24,406 - INFO - main.py - train - 74 - 【train】 epoch：0 step:396/26861 loss：0.826080 2021-08-22 02:21:26,014 - INFO - main.py - train - 74 - 【train】 epoch：0 step:397/26861 loss：0.731737 2021-08-22 02:21:27,614 - INFO - main.py - train - 74 - 【train】 epoch：0 step:398/26861 loss：0.480184 2021-08-22 02:21:29,223 - INFO - main.py - train - 74 - 【train】 epoch：0 step:399/26861 loss：0.446252 2021-08-22 02:21:30,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:400/26861 loss：0.341686 2021-08-22 02:21:32,435 - INFO - main.py - train - 74 - 【train】 epoch：0 step:401/26861 loss：0.204002 2021-08-22 02:21:34,046 - INFO - main.py - train - 74 - 【train】 epoch：0 step:402/26861 loss：1.255305 2021-08-22 02:21:35,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:403/26861 loss：1.144476 2021-08-22 02:21:37,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:404/26861 loss：0.533966 2021-08-22 02:21:38,861 - INFO - main.py - train - 74 - 【train】 epoch：0 step:405/26861 loss：0.489967 2021-08-22 02:21:40,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:406/26861 loss：0.856135 2021-08-22 02:21:42,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:407/26861 loss：0.683245 2021-08-22 02:21:43,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:408/26861 loss：0.752916 2021-08-22 02:21:45,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:409/26861 loss：0.418934 2021-08-22 02:21:46,924 - INFO - main.py - train - 74 - 【train】 epoch：0 step:410/26861 loss：0.180055 2021-08-22 02:21:48,518 - INFO - main.py - train - 74 - 【train】 epoch：0 step:411/26861 loss：0.148567 2021-08-22 02:21:50,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:412/26861 loss：0.215269 2021-08-22 02:21:51,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:413/26861 loss：0.268931 2021-08-22 02:21:53,323 - INFO - main.py - train - 74 - 【train】 epoch：0 step:414/26861 loss：0.351916 2021-08-22 02:21:54,927 - INFO - main.py - train - 74 - 【train】 epoch：0 step:415/26861 loss：0.285394 2021-08-22 02:21:56,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:416/26861 loss：1.040971 2021-08-22 02:21:58,143 - INFO - main.py - train - 74 - 【train】 epoch：0 step:417/26861 loss：0.916353 2021-08-22 02:21:59,744 - INFO - main.py - train - 74 - 【train】 epoch：0 step:418/26861 loss：0.311354 2021-08-22 02:22:01,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:419/26861 loss：0.225239 2021-08-22 02:22:02,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:420/26861 loss：0.710357 2021-08-22 02:22:04,558 - INFO - main.py - train - 74 - 【train】 epoch：0 step:421/26861 loss：0.725136 2021-08-22 02:22:06,163 - INFO - main.py - train - 74 - 【train】 epoch：0 step:422/26861 loss：1.104860 2021-08-22 02:22:07,771 - INFO - main.py - train - 74 - 【train】 epoch：0 step:423/26861 loss：0.856965 2021-08-22 02:22:09,399 - INFO - main.py - train - 74 - 【train】 epoch：0 step:424/26861 loss：0.520142 2021-08-22 02:22:11,025 - INFO - main.py - train - 74 - 【train】 epoch：0 step:425/26861 loss：0.397245 2021-08-22 02:22:12,645 - INFO - main.py - train - 74 - 【train】 epoch：0 step:426/26861 loss：0.707178 2021-08-22 02:22:14,256 - INFO - main.py - train - 74 - 【train】 epoch：0 step:427/26861 loss：0.744806 2021-08-22 02:22:15,860 - INFO - main.py - train - 74 - 【train】 epoch：0 step:428/26861 loss：1.672776 2021-08-22 02:22:17,473 - INFO - main.py - train - 74 - 【train】 epoch：0 step:429/26861 loss：1.435700 2021-08-22 02:22:19,078 - INFO - main.py - train - 74 - 【train】 epoch：0 step:430/26861 loss：0.567559 2021-08-22 02:22:20,681 - INFO - main.py - train - 74 - 【train】 epoch：0 step:431/26861 loss：0.385767 2021-08-22 02:22:22,291 - INFO - main.py - train - 74 - 【train】 epoch：0 step:432/26861 loss：0.766107 2021-08-22 02:22:23,893 - INFO - main.py - train - 74 - 【train】 epoch：0 step:433/26861 loss：0.576311 2021-08-22 02:22:25,497 - INFO - main.py - train - 74 - 【train】 epoch：0 step:434/26861 loss：1.331940 2021-08-22 02:22:27,098 - INFO - main.py - train - 74 - 【train】 epoch：0 step:435/26861 loss：1.234242 2021-08-22 02:22:28,704 - INFO - main.py - train - 74 - 【train】 epoch：0 step:436/26861 loss：0.418109 2021-08-22 02:22:30,303 - INFO - main.py - train - 74 - 【train】 epoch：0 step:437/26861 loss：0.264701 2021-08-22 02:22:31,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:438/26861 loss：0.458165 2021-08-22 02:22:33,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:439/26861 loss：0.421220 2021-08-22 02:22:35,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:440/26861 loss：0.171899 2021-08-22 02:22:36,762 - INFO - main.py - train - 74 - 【train】 epoch：0 step:441/26861 loss：0.125430 2021-08-22 02:22:38,359 - INFO - main.py - train - 74 - 【train】 epoch：0 step:442/26861 loss：0.938950 2021-08-22 02:22:39,960 - INFO - main.py - train - 74 - 【train】 epoch：0 step:443/26861 loss：0.796875 2021-08-22 02:22:41,567 - INFO - main.py - train - 74 - 【train】 epoch：0 step:444/26861 loss：0.447204 2021-08-22 02:22:43,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:445/26861 loss：0.475517 2021-08-22 02:22:44,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:446/26861 loss：1.578089 2021-08-22 02:22:46,404 - INFO - main.py - train - 74 - 【train】 epoch：0 step:447/26861 loss：1.177850 2021-08-22 02:22:48,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:448/26861 loss：0.337766 2021-08-22 02:22:49,619 - INFO - main.py - train - 74 - 【train】 epoch：0 step:449/26861 loss：0.402950 2021-08-22 02:22:51,227 - INFO - main.py - train - 74 - 【train】 epoch：0 step:450/26861 loss：0.375160 2021-08-22 02:22:52,829 - INFO - main.py - train - 74 - 【train】 epoch：0 step:451/26861 loss：0.368629 2021-08-22 02:22:54,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:452/26861 loss：0.190088 2021-08-22 02:22:56,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:453/26861 loss：0.196397 2021-08-22 02:22:57,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:454/26861 loss：0.251558 2021-08-22 02:22:59,230 - INFO - main.py - train - 74 - 【train】 epoch：0 step:455/26861 loss：0.244157 2021-08-22 02:23:00,830 - INFO - main.py - train - 74 - 【train】 epoch：0 step:456/26861 loss：1.348718 2021-08-22 02:23:02,438 - INFO - main.py - train - 74 - 【train】 epoch：0 step:457/26861 loss：0.978555 2021-08-22 02:23:04,045 - INFO - main.py - train - 74 - 【train】 epoch：0 step:458/26861 loss：1.776927 2021-08-22 02:23:05,656 - INFO - main.py - train - 74 - 【train】 epoch：0 step:459/26861 loss：1.530220 2021-08-22 02:23:07,263 - INFO - main.py - train - 74 - 【train】 epoch：0 step:460/26861 loss：0.292490 2021-08-22 02:23:08,863 - INFO - main.py - train - 74 - 【train】 epoch：0 step:461/26861 loss：0.260458 2021-08-22 02:23:10,470 - INFO - main.py - train - 74 - 【train】 epoch：0 step:462/26861 loss：0.814608 2021-08-22 02:23:12,079 - INFO - main.py - train - 74 - 【train】 epoch：0 step:463/26861 loss：0.615722 2021-08-22 02:23:13,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:464/26861 loss：0.559900 2021-08-22 02:23:15,297 - INFO - main.py - train - 74 - 【train】 epoch：0 step:465/26861 loss：0.473786 2021-08-22 02:23:16,904 - INFO - main.py - train - 74 - 【train】 epoch：0 step:466/26861 loss：0.250255 2021-08-22 02:23:18,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:467/26861 loss：0.204118 2021-08-22 02:23:20,115 - INFO - main.py - train - 74 - 【train】 epoch：0 step:468/26861 loss：0.546298 2021-08-22 02:23:21,719 - INFO - main.py - train - 74 - 【train】 epoch：0 step:469/26861 loss：0.484062 2021-08-22 02:23:23,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:470/26861 loss：1.171868 2021-08-22 02:23:24,959 - INFO - main.py - train - 74 - 【train】 epoch：0 step:471/26861 loss：0.808387 2021-08-22 02:23:26,561 - INFO - main.py - train - 74 - 【train】 epoch：0 step:472/26861 loss：0.448402 2021-08-22 02:23:28,157 - INFO - main.py - train - 74 - 【train】 epoch：0 step:473/26861 loss：0.391811 2021-08-22 02:23:29,762 - INFO - main.py - train - 74 - 【train】 epoch：0 step:474/26861 loss：0.376192 2021-08-22 02:23:31,376 - INFO - main.py - train - 74 - 【train】 epoch：0 step:475/26861 loss：0.416559 2021-08-22 02:23:32,971 - INFO - main.py - train - 74 - 【train】 epoch：0 step:476/26861 loss：0.760593 2021-08-22 02:23:34,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:477/26861 loss：0.642018 2021-08-22 02:23:36,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:478/26861 loss：0.528594 2021-08-22 02:23:37,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:479/26861 loss：0.346241 2021-08-22 02:23:39,402 - INFO - main.py - train - 74 - 【train】 epoch：0 step:480/26861 loss：0.296995 2021-08-22 02:23:40,997 - INFO - main.py - train - 74 - 【train】 epoch：0 step:481/26861 loss：0.267225 2021-08-22 02:23:42,607 - INFO - main.py - train - 74 - 【train】 epoch：0 step:482/26861 loss：0.462254 2021-08-22 02:23:44,218 - INFO - main.py - train - 74 - 【train】 epoch：0 step:483/26861 loss：0.351749 2021-08-22 02:23:45,821 - INFO - main.py - train - 74 - 【train】 epoch：0 step:484/26861 loss：0.773227 2021-08-22 02:23:47,425 - INFO - main.py - train - 74 - 【train】 epoch：0 step:485/26861 loss：0.652105 2021-08-22 02:23:49,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:486/26861 loss：1.667794 2021-08-22 02:23:50,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:487/26861 loss：1.500708 2021-08-22 02:23:52,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:488/26861 loss：1.412656 2021-08-22 02:23:53,855 - INFO - main.py - train - 74 - 【train】 epoch：0 step:489/26861 loss：0.781066 2021-08-22 02:23:55,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:490/26861 loss：0.375563 2021-08-22 02:23:57,084 - INFO - main.py - train - 74 - 【train】 epoch：0 step:491/26861 loss：0.326363 2021-08-22 02:23:58,691 - INFO - main.py - train - 74 - 【train】 epoch：0 step:492/26861 loss：1.037057 2021-08-22 02:24:00,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:493/26861 loss：0.759425 2021-08-22 02:24:01,891 - INFO - main.py - train - 74 - 【train】 epoch：0 step:494/26861 loss：0.924744 2021-08-22 02:24:03,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:495/26861 loss：0.906222 2021-08-22 02:24:05,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:496/26861 loss：1.045639 2021-08-22 02:24:06,713 - INFO - main.py - train - 74 - 【train】 epoch：0 step:497/26861 loss：0.896738 2021-08-22 02:24:08,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:498/26861 loss：1.035694 2021-08-22 02:24:09,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:499/26861 loss：0.584607 2021-08-22 02:24:11,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:500/26861 loss：0.807767 2021-08-22 02:24:13,214 - INFO - main.py - train - 74 - 【train】 epoch：0 step:501/26861 loss：0.674497 2021-08-22 02:24:14,844 - INFO - main.py - train - 74 - 【train】 epoch：0 step:502/26861 loss：0.507708 2021-08-22 02:24:16,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:503/26861 loss：0.358685 2021-08-22 02:24:18,074 - INFO - main.py - train - 74 - 【train】 epoch：0 step:504/26861 loss：0.814357 2021-08-22 02:24:19,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:505/26861 loss：0.321371 2021-08-22 02:24:21,278 - INFO - main.py - train - 74 - 【train】 epoch：0 step:506/26861 loss：0.200889 2021-08-22 02:24:22,885 - INFO - main.py - train - 74 - 【train】 epoch：0 step:507/26861 loss：0.102639 2021-08-22 02:24:24,484 - INFO - main.py - train - 74 - 【train】 epoch：0 step:508/26861 loss：0.568027 2021-08-22 02:24:26,088 - INFO - main.py - train - 74 - 【train】 epoch：0 step:509/26861 loss：0.696128 2021-08-22 02:24:27,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:510/26861 loss：0.217009 2021-08-22 02:24:29,303 - INFO - main.py - train - 74 - 【train】 epoch：0 step:511/26861 loss：0.115441 2021-08-22 02:24:30,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:512/26861 loss：0.385384 2021-08-22 02:24:32,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:513/26861 loss：0.392585 2021-08-22 02:24:34,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:514/26861 loss：0.413057 2021-08-22 02:24:35,755 - INFO - main.py - train - 74 - 【train】 epoch：0 step:515/26861 loss：0.412638 2021-08-22 02:24:37,382 - INFO - main.py - train - 74 - 【train】 epoch：0 step:516/26861 loss：0.295166 2021-08-22 02:24:39,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:517/26861 loss：0.231174 2021-08-22 02:24:40,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:518/26861 loss：0.928063 2021-08-22 02:24:42,195 - INFO - main.py - train - 74 - 【train】 epoch：0 step:519/26861 loss：1.023424 2021-08-22 02:24:43,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:520/26861 loss：1.782140 2021-08-22 02:24:45,446 - INFO - main.py - train - 74 - 【train】 epoch：0 step:521/26861 loss：1.621719 2021-08-22 02:24:47,055 - INFO - main.py - train - 74 - 【train】 epoch：0 step:522/26861 loss：0.617302 2021-08-22 02:24:48,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:523/26861 loss：0.555746 2021-08-22 02:24:50,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:524/26861 loss：1.285337 2021-08-22 02:24:51,891 - INFO - main.py - train - 74 - 【train】 epoch：0 step:525/26861 loss：0.967159 2021-08-22 02:24:53,498 - INFO - main.py - train - 74 - 【train】 epoch：0 step:526/26861 loss：0.276205 2021-08-22 02:24:55,102 - INFO - main.py - train - 74 - 【train】 epoch：0 step:527/26861 loss：0.295580 2021-08-22 02:24:56,705 - INFO - main.py - train - 74 - 【train】 epoch：0 step:528/26861 loss：0.581605 2021-08-22 02:24:58,307 - INFO - main.py - train - 74 - 【train】 epoch：0 step:529/26861 loss：0.491869 2021-08-22 02:24:59,911 - INFO - main.py - train - 74 - 【train】 epoch：0 step:530/26861 loss：0.731274 2021-08-22 02:25:01,516 - INFO - main.py - train - 74 - 【train】 epoch：0 step:531/26861 loss：0.711066 2021-08-22 02:25:03,130 - INFO - main.py - train - 74 - 【train】 epoch：0 step:532/26861 loss：0.380922 2021-08-22 02:25:04,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:533/26861 loss：0.447975 2021-08-22 02:25:06,346 - INFO - main.py - train - 74 - 【train】 epoch：0 step:534/26861 loss：1.196835 2021-08-22 02:25:07,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:535/26861 loss：1.032647 2021-08-22 02:25:09,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:536/26861 loss：0.551411 2021-08-22 02:25:11,171 - INFO - main.py - train - 74 - 【train】 epoch：0 step:537/26861 loss：0.363871 2021-08-22 02:25:12,756 - INFO - main.py - train - 74 - 【train】 epoch：0 step:538/26861 loss：0.880742 2021-08-22 02:25:14,355 - INFO - main.py - train - 74 - 【train】 epoch：0 step:539/26861 loss：0.732329 2021-08-22 02:25:15,963 - INFO - main.py - train - 74 - 【train】 epoch：0 step:540/26861 loss：1.181649 2021-08-22 02:25:17,572 - INFO - main.py - train - 74 - 【train】 epoch：0 step:541/26861 loss：1.034385 2021-08-22 02:25:19,186 - INFO - main.py - train - 74 - 【train】 epoch：0 step:542/26861 loss：0.440800 2021-08-22 02:25:20,797 - INFO - main.py - train - 74 - 【train】 epoch：0 step:543/26861 loss：0.352549 2021-08-22 02:25:22,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:544/26861 loss：0.074129 2021-08-22 02:25:24,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:545/26861 loss：0.103023 2021-08-22 02:25:25,621 - INFO - main.py - train - 74 - 【train】 epoch：0 step:546/26861 loss：0.184031 2021-08-22 02:25:27,227 - INFO - main.py - train - 74 - 【train】 epoch：0 step:547/26861 loss：0.156565 2021-08-22 02:25:28,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:548/26861 loss：0.479912 2021-08-22 02:25:30,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:549/26861 loss：0.465517 2021-08-22 02:25:32,048 - INFO - main.py - train - 74 - 【train】 epoch：0 step:550/26861 loss：0.486550 2021-08-22 02:25:33,653 - INFO - main.py - train - 74 - 【train】 epoch：0 step:551/26861 loss：0.375058 2021-08-22 02:25:35,261 - INFO - main.py - train - 74 - 【train】 epoch：0 step:552/26861 loss：0.966515 2021-08-22 02:25:36,866 - INFO - main.py - train - 74 - 【train】 epoch：0 step:553/26861 loss：0.720318 2021-08-22 02:25:38,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:554/26861 loss：0.528980 2021-08-22 02:25:40,077 - INFO - main.py - train - 74 - 【train】 epoch：0 step:555/26861 loss：0.440286 2021-08-22 02:25:41,701 - INFO - main.py - train - 74 - 【train】 epoch：0 step:556/26861 loss：1.165410 2021-08-22 02:25:43,327 - INFO - main.py - train - 74 - 【train】 epoch：0 step:557/26861 loss：0.884355 2021-08-22 02:25:44,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:558/26861 loss：1.526418 2021-08-22 02:25:46,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:559/26861 loss：1.238967 2021-08-22 02:25:48,162 - INFO - main.py - train - 74 - 【train】 epoch：0 step:560/26861 loss：0.817221 2021-08-22 02:25:49,770 - INFO - main.py - train - 74 - 【train】 epoch：0 step:561/26861 loss：0.849623 2021-08-22 02:25:51,374 - INFO - main.py - train - 74 - 【train】 epoch：0 step:562/26861 loss：0.601039 2021-08-22 02:25:52,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:563/26861 loss：0.599255 2021-08-22 02:25:54,586 - INFO - main.py - train - 74 - 【train】 epoch：0 step:564/26861 loss：0.884107 2021-08-22 02:25:56,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:565/26861 loss：0.835353 2021-08-22 02:25:57,798 - INFO - main.py - train - 74 - 【train】 epoch：0 step:566/26861 loss：0.492730 2021-08-22 02:25:59,405 - INFO - main.py - train - 74 - 【train】 epoch：0 step:567/26861 loss：0.360788 2021-08-22 02:26:01,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:568/26861 loss：0.431578 2021-08-22 02:26:02,621 - INFO - main.py - train - 74 - 【train】 epoch：0 step:569/26861 loss：0.395223 2021-08-22 02:26:04,226 - INFO - main.py - train - 74 - 【train】 epoch：0 step:570/26861 loss：1.801520 2021-08-22 02:26:05,835 - INFO - main.py - train - 74 - 【train】 epoch：0 step:571/26861 loss：1.452707 2021-08-22 02:26:07,442 - INFO - main.py - train - 74 - 【train】 epoch：0 step:572/26861 loss：0.271594 2021-08-22 02:26:09,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:573/26861 loss：0.175472 2021-08-22 02:26:10,667 - INFO - main.py - train - 74 - 【train】 epoch：0 step:574/26861 loss：0.187514 2021-08-22 02:26:12,278 - INFO - main.py - train - 74 - 【train】 epoch：0 step:575/26861 loss：0.169532 2021-08-22 02:26:13,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:576/26861 loss：1.516077 2021-08-22 02:26:15,484 - INFO - main.py - train - 74 - 【train】 epoch：0 step:577/26861 loss：1.140819 2021-08-22 02:26:17,089 - INFO - main.py - train - 74 - 【train】 epoch：0 step:578/26861 loss：0.249049 2021-08-22 02:26:18,684 - INFO - main.py - train - 74 - 【train】 epoch：0 step:579/26861 loss：0.183054 2021-08-22 02:26:20,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:580/26861 loss：0.550343 2021-08-22 02:26:21,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:581/26861 loss：0.546143 2021-08-22 02:26:23,501 - INFO - main.py - train - 74 - 【train】 epoch：0 step:582/26861 loss：0.427791 2021-08-22 02:26:25,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:583/26861 loss：0.305073 2021-08-22 02:26:26,711 - INFO - main.py - train - 74 - 【train】 epoch：0 step:584/26861 loss：0.174228 2021-08-22 02:26:28,325 - INFO - main.py - train - 74 - 【train】 epoch：0 step:585/26861 loss：0.177725 2021-08-22 02:26:29,956 - INFO - main.py - train - 74 - 【train】 epoch：0 step:586/26861 loss：0.442359 2021-08-22 02:26:31,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:587/26861 loss：0.447987 2021-08-22 02:26:33,194 - INFO - main.py - train - 74 - 【train】 epoch：0 step:588/26861 loss：0.289468 2021-08-22 02:26:34,798 - INFO - main.py - train - 74 - 【train】 epoch：0 step:589/26861 loss：0.249719 2021-08-22 02:26:36,411 - INFO - main.py - train - 74 - 【train】 epoch：0 step:590/26861 loss：0.805496 2021-08-22 02:26:38,027 - INFO - main.py - train - 74 - 【train】 epoch：0 step:591/26861 loss：0.263863 2021-08-22 02:26:39,634 - INFO - main.py - train - 74 - 【train】 epoch：0 step:592/26861 loss：0.301166 2021-08-22 02:26:41,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:593/26861 loss：0.212207 2021-08-22 02:26:42,831 - INFO - main.py - train - 74 - 【train】 epoch：0 step:594/26861 loss：0.336656 2021-08-22 02:26:44,433 - INFO - main.py - train - 74 - 【train】 epoch：0 step:595/26861 loss：0.250022 2021-08-22 02:26:46,040 - INFO - main.py - train - 74 - 【train】 epoch：0 step:596/26861 loss：0.545112 2021-08-22 02:26:47,646 - INFO - main.py - train - 74 - 【train】 epoch：0 step:597/26861 loss：0.514885 2021-08-22 02:26:49,259 - INFO - main.py - train - 74 - 【train】 epoch：0 step:598/26861 loss：0.428104 2021-08-22 02:26:50,872 - INFO - main.py - train - 74 - 【train】 epoch：0 step:599/26861 loss：0.236603 2021-08-22 02:26:52,472 - INFO - main.py - train - 74 - 【train】 epoch：0 step:600/26861 loss：1.766406 2021-08-22 02:26:54,086 - INFO - main.py - train - 74 - 【train】 epoch：0 step:601/26861 loss：1.492634 2021-08-22 02:26:55,682 - INFO - main.py - train - 74 - 【train】 epoch：0 step:602/26861 loss：0.834197 2021-08-22 02:26:57,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:603/26861 loss：0.795810 2021-08-22 02:26:58,883 - INFO - main.py - train - 74 - 【train】 epoch：0 step:604/26861 loss：0.517212 2021-08-22 02:27:00,489 - INFO - main.py - train - 74 - 【train】 epoch：0 step:605/26861 loss：0.453056 2021-08-22 02:27:02,091 - INFO - main.py - train - 74 - 【train】 epoch：0 step:606/26861 loss：0.510567 2021-08-22 02:27:03,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:607/26861 loss：0.474374 2021-08-22 02:27:05,315 - INFO - main.py - train - 74 - 【train】 epoch：0 step:608/26861 loss：0.251123 2021-08-22 02:27:06,923 - INFO - main.py - train - 74 - 【train】 epoch：0 step:609/26861 loss：0.184137 2021-08-22 02:27:08,531 - INFO - main.py - train - 74 - 【train】 epoch：0 step:610/26861 loss：0.428361 2021-08-22 02:27:10,135 - INFO - main.py - train - 74 - 【train】 epoch：0 step:611/26861 loss：0.127773 2021-08-22 02:27:11,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:612/26861 loss：0.205202 2021-08-22 02:27:13,347 - INFO - main.py - train - 74 - 【train】 epoch：0 step:613/26861 loss：0.292785 2021-08-22 02:27:14,954 - INFO - main.py - train - 74 - 【train】 epoch：0 step:614/26861 loss：0.647223 2021-08-22 02:27:16,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:615/26861 loss：0.745227 2021-08-22 02:27:18,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:616/26861 loss：0.815973 2021-08-22 02:27:19,776 - INFO - main.py - train - 74 - 【train】 epoch：0 step:617/26861 loss：0.547459 2021-08-22 02:27:21,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:618/26861 loss：0.313075 2021-08-22 02:27:22,989 - INFO - main.py - train - 74 - 【train】 epoch：0 step:619/26861 loss：0.305545 2021-08-22 02:27:24,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:620/26861 loss：0.749935 2021-08-22 02:27:26,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:621/26861 loss：0.345878 2021-08-22 02:27:27,808 - INFO - main.py - train - 74 - 【train】 epoch：0 step:622/26861 loss：0.250683 2021-08-22 02:27:29,406 - INFO - main.py - train - 74 - 【train】 epoch：0 step:623/26861 loss：0.184884 2021-08-22 02:27:31,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:624/26861 loss：0.398109 2021-08-22 02:27:32,649 - INFO - main.py - train - 74 - 【train】 epoch：0 step:625/26861 loss：0.221084 2021-08-22 02:27:34,260 - INFO - main.py - train - 74 - 【train】 epoch：0 step:626/26861 loss：0.352864 2021-08-22 02:27:35,872 - INFO - main.py - train - 74 - 【train】 epoch：0 step:627/26861 loss：0.286897 2021-08-22 02:27:37,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:628/26861 loss：1.456721 2021-08-22 02:27:39,151 - INFO - main.py - train - 74 - 【train】 epoch：0 step:629/26861 loss：0.699738 2021-08-22 02:27:40,776 - INFO - main.py - train - 74 - 【train】 epoch：0 step:630/26861 loss：1.094290 2021-08-22 02:27:42,397 - INFO - main.py - train - 74 - 【train】 epoch：0 step:631/26861 loss：0.732681 2021-08-22 02:27:44,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:632/26861 loss：0.496581 2021-08-22 02:27:45,619 - INFO - main.py - train - 74 - 【train】 epoch：0 step:633/26861 loss：0.343532 2021-08-22 02:27:47,230 - INFO - main.py - train - 74 - 【train】 epoch：0 step:634/26861 loss：0.826271 2021-08-22 02:27:48,842 - INFO - main.py - train - 74 - 【train】 epoch：0 step:635/26861 loss：0.721672 2021-08-22 02:27:50,446 - INFO - main.py - train - 74 - 【train】 epoch：0 step:636/26861 loss：0.482431 2021-08-22 02:27:52,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:637/26861 loss：0.377853 2021-08-22 02:27:53,660 - INFO - main.py - train - 74 - 【train】 epoch：0 step:638/26861 loss：0.561464 2021-08-22 02:27:55,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:639/26861 loss：0.291551 2021-08-22 02:27:56,864 - INFO - main.py - train - 74 - 【train】 epoch：0 step:640/26861 loss：0.080921 2021-08-22 02:27:58,472 - INFO - main.py - train - 74 - 【train】 epoch：0 step:641/26861 loss：0.097184 2021-08-22 02:28:00,087 - INFO - main.py - train - 74 - 【train】 epoch：0 step:642/26861 loss：0.102567 2021-08-22 02:28:01,703 - INFO - main.py - train - 74 - 【train】 epoch：0 step:643/26861 loss：0.114748 2021-08-22 02:28:03,308 - INFO - main.py - train - 74 - 【train】 epoch：0 step:644/26861 loss：0.313336 2021-08-22 02:28:04,916 - INFO - main.py - train - 74 - 【train】 epoch：0 step:645/26861 loss：0.279841 2021-08-22 02:28:06,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:646/26861 loss：2.145633 2021-08-22 02:28:08,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:647/26861 loss：1.852887 2021-08-22 02:28:09,731 - INFO - main.py - train - 74 - 【train】 epoch：0 step:648/26861 loss：0.307392 2021-08-22 02:28:11,332 - INFO - main.py - train - 74 - 【train】 epoch：0 step:649/26861 loss：0.338436 2021-08-22 02:28:12,941 - INFO - main.py - train - 74 - 【train】 epoch：0 step:650/26861 loss：0.214208 2021-08-22 02:28:14,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:651/26861 loss：0.302243 2021-08-22 02:28:16,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:652/26861 loss：0.690720 2021-08-22 02:28:17,746 - INFO - main.py - train - 74 - 【train】 epoch：0 step:653/26861 loss：0.571327 2021-08-22 02:28:19,364 - INFO - main.py - train - 74 - 【train】 epoch：0 step:654/26861 loss：1.179134 2021-08-22 02:28:20,973 - INFO - main.py - train - 74 - 【train】 epoch：0 step:655/26861 loss：1.082401 2021-08-22 02:28:22,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:656/26861 loss：0.956588 2021-08-22 02:28:24,182 - INFO - main.py - train - 74 - 【train】 epoch：0 step:657/26861 loss：0.717868 2021-08-22 02:28:25,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:658/26861 loss：0.869840 2021-08-22 02:28:27,394 - INFO - main.py - train - 74 - 【train】 epoch：0 step:659/26861 loss：0.547891 2021-08-22 02:28:29,008 - INFO - main.py - train - 74 - 【train】 epoch：0 step:660/26861 loss：0.336808 2021-08-22 02:28:30,608 - INFO - main.py - train - 74 - 【train】 epoch：0 step:661/26861 loss：0.331647 2021-08-22 02:28:32,216 - INFO - main.py - train - 74 - 【train】 epoch：0 step:662/26861 loss：0.140870 2021-08-22 02:28:33,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:663/26861 loss：0.125822 2021-08-22 02:28:35,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:664/26861 loss：0.483586 2021-08-22 02:28:37,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:665/26861 loss：0.223537 2021-08-22 02:28:38,653 - INFO - main.py - train - 74 - 【train】 epoch：0 step:666/26861 loss：0.632778 2021-08-22 02:28:40,281 - INFO - main.py - train - 74 - 【train】 epoch：0 step:667/26861 loss：0.568038 2021-08-22 02:28:41,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:668/26861 loss：0.603447 2021-08-22 02:28:43,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:669/26861 loss：0.532030 2021-08-22 02:28:45,116 - INFO - main.py - train - 74 - 【train】 epoch：0 step:670/26861 loss：1.441410 2021-08-22 02:28:46,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:671/26861 loss：1.091841 2021-08-22 02:28:48,325 - INFO - main.py - train - 74 - 【train】 epoch：0 step:672/26861 loss：0.842404 2021-08-22 02:28:49,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:673/26861 loss：0.682872 2021-08-22 02:28:51,542 - INFO - main.py - train - 74 - 【train】 epoch：0 step:674/26861 loss：0.114400 2021-08-22 02:28:53,145 - INFO - main.py - train - 74 - 【train】 epoch：0 step:675/26861 loss：0.135813 2021-08-22 02:28:54,757 - INFO - main.py - train - 74 - 【train】 epoch：0 step:676/26861 loss：1.101159 2021-08-22 02:28:56,362 - INFO - main.py - train - 74 - 【train】 epoch：0 step:677/26861 loss：0.539070 2021-08-22 02:28:57,967 - INFO - main.py - train - 74 - 【train】 epoch：0 step:678/26861 loss：0.186890 2021-08-22 02:28:59,571 - INFO - main.py - train - 74 - 【train】 epoch：0 step:679/26861 loss：0.174361 2021-08-22 02:29:01,175 - INFO - main.py - train - 74 - 【train】 epoch：0 step:680/26861 loss：0.969992 2021-08-22 02:29:02,781 - INFO - main.py - train - 74 - 【train】 epoch：0 step:681/26861 loss：1.030352 2021-08-22 02:29:04,392 - INFO - main.py - train - 74 - 【train】 epoch：0 step:682/26861 loss：0.540087 2021-08-22 02:29:05,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:683/26861 loss：0.484567 2021-08-22 02:29:07,607 - INFO - main.py - train - 74 - 【train】 epoch：0 step:684/26861 loss：1.126077 2021-08-22 02:29:09,215 - INFO - main.py - train - 74 - 【train】 epoch：0 step:685/26861 loss：0.957285 2021-08-22 02:29:10,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:686/26861 loss：0.416276 2021-08-22 02:29:12,426 - INFO - main.py - train - 74 - 【train】 epoch：0 step:687/26861 loss：0.198962 2021-08-22 02:29:14,029 - INFO - main.py - train - 74 - 【train】 epoch：0 step:688/26861 loss：0.627535 2021-08-22 02:29:15,633 - INFO - main.py - train - 74 - 【train】 epoch：0 step:689/26861 loss：0.449410 2021-08-22 02:29:17,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:690/26861 loss：0.699616 2021-08-22 02:29:18,854 - INFO - main.py - train - 74 - 【train】 epoch：0 step:691/26861 loss：0.486724 2021-08-22 02:29:20,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:692/26861 loss：0.542512 2021-08-22 02:29:22,064 - INFO - main.py - train - 74 - 【train】 epoch：0 step:693/26861 loss：0.510482 2021-08-22 02:29:23,669 - INFO - main.py - train - 74 - 【train】 epoch：0 step:694/26861 loss：0.623715 2021-08-22 02:29:25,275 - INFO - main.py - train - 74 - 【train】 epoch：0 step:695/26861 loss：0.197935 2021-08-22 02:29:26,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:696/26861 loss：0.997780 2021-08-22 02:29:28,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:697/26861 loss：0.861172 2021-08-22 02:29:30,101 - INFO - main.py - train - 74 - 【train】 epoch：0 step:698/26861 loss：1.219705 2021-08-22 02:29:31,703 - INFO - main.py - train - 74 - 【train】 epoch：0 step:699/26861 loss：0.773046 2021-08-22 02:29:33,300 - INFO - main.py - train - 74 - 【train】 epoch：0 step:700/26861 loss：0.222808 2021-08-22 02:31:50,885 - INFO - main.py - train - 74 - 【train】 epoch：0 step:0/26861 loss：3.871713 2021-08-22 02:31:52,499 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1/26861 loss：3.553226 2021-08-22 02:31:54,106 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2/26861 loss：3.847489 2021-08-22 02:31:55,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3/26861 loss：3.446827 2021-08-22 02:31:57,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:4/26861 loss：3.847716 2021-08-22 02:31:58,980 - INFO - main.py - train - 74 - 【train】 epoch：0 step:5/26861 loss：3.695547 2021-08-22 02:32:00,606 - INFO - main.py - train - 74 - 【train】 epoch：0 step:6/26861 loss：3.689458 2021-08-22 02:32:02,232 - INFO - main.py - train - 74 - 【train】 epoch：0 step:7/26861 loss：3.398097 2021-08-22 02:32:03,862 - INFO - main.py - train - 74 - 【train】 epoch：0 step:8/26861 loss：3.854434 2021-08-22 02:32:05,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:9/26861 loss：3.577684 2021-08-22 02:32:07,127 - INFO - main.py - train - 74 - 【train】 epoch：0 step:10/26861 loss：3.720685 2021-08-22 02:32:08,752 - INFO - main.py - train - 74 - 【train】 epoch：0 step:11/26861 loss：3.335664 2021-08-22 02:32:10,366 - INFO - main.py - train - 74 - 【train】 epoch：0 step:12/26861 loss：3.885984 2021-08-22 02:32:11,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:13/26861 loss：3.593160 2021-08-22 02:32:13,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:14/26861 loss：3.391540 2021-08-22 02:32:15,222 - INFO - main.py - train - 74 - 【train】 epoch：0 step:15/26861 loss：3.404673 2021-08-22 02:32:16,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:16/26861 loss：2.507909 2021-08-22 02:32:18,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:17/26861 loss：2.409028 2021-08-22 02:32:20,115 - INFO - main.py - train - 74 - 【train】 epoch：0 step:18/26861 loss：3.119087 2021-08-22 02:32:21,725 - INFO - main.py - train - 74 - 【train】 epoch：0 step:19/26861 loss：2.973869 2021-08-22 02:32:23,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:20/26861 loss：2.623971 2021-08-22 02:32:24,966 - INFO - main.py - train - 74 - 【train】 epoch：0 step:21/26861 loss：2.543459 2021-08-22 02:32:26,581 - INFO - main.py - train - 74 - 【train】 epoch：0 step:22/26861 loss：3.408380 2021-08-22 02:32:28,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:23/26861 loss：3.366617 2021-08-22 02:32:29,812 - INFO - main.py - train - 74 - 【train】 epoch：0 step:24/26861 loss：3.693189 2021-08-22 02:32:31,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:25/26861 loss：3.538425 2021-08-22 02:32:33,041 - INFO - main.py - train - 74 - 【train】 epoch：0 step:26/26861 loss：4.812597 2021-08-22 02:32:34,653 - INFO - main.py - train - 74 - 【train】 epoch：0 step:27/26861 loss：4.690530 2021-08-22 02:32:36,260 - INFO - main.py - train - 74 - 【train】 epoch：0 step:28/26861 loss：2.560886 2021-08-22 02:32:37,871 - INFO - main.py - train - 74 - 【train】 epoch：0 step:29/26861 loss：2.427548 2021-08-22 02:32:39,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:30/26861 loss：3.218313 2021-08-22 02:32:41,089 - INFO - main.py - train - 74 - 【train】 epoch：0 step:31/26861 loss：3.143119 2021-08-22 02:32:42,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:32/26861 loss：2.901989 2021-08-22 02:32:44,291 - INFO - main.py - train - 74 - 【train】 epoch：0 step:33/26861 loss：2.712902 2021-08-22 02:32:45,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:34/26861 loss：1.910629 2021-08-22 02:32:47,504 - INFO - main.py - train - 74 - 【train】 epoch：0 step:35/26861 loss：1.668674 2021-08-22 02:32:49,112 - INFO - main.py - train - 74 - 【train】 epoch：0 step:36/26861 loss：2.839979 2021-08-22 02:32:50,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:37/26861 loss：2.499375 2021-08-22 02:32:52,334 - INFO - main.py - train - 74 - 【train】 epoch：0 step:38/26861 loss：3.482806 2021-08-22 02:32:53,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:39/26861 loss：3.172306 2021-08-22 02:32:55,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:40/26861 loss：2.413790 2021-08-22 02:32:57,149 - INFO - main.py - train - 74 - 【train】 epoch：0 step:41/26861 loss：2.218745 2021-08-22 02:32:58,762 - INFO - main.py - train - 74 - 【train】 epoch：0 step:42/26861 loss：1.644228 2021-08-22 02:33:00,371 - INFO - main.py - train - 74 - 【train】 epoch：0 step:43/26861 loss：1.532279 2021-08-22 02:33:01,979 - INFO - main.py - train - 74 - 【train】 epoch：0 step:44/26861 loss：2.046782 2021-08-22 02:33:03,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:45/26861 loss：2.078872 2021-08-22 02:33:05,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:46/26861 loss：2.860145 2021-08-22 02:33:06,778 - INFO - main.py - train - 74 - 【train】 epoch：0 step:47/26861 loss：2.801753 2021-08-22 02:33:08,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:48/26861 loss：2.398540 2021-08-22 02:33:09,991 - INFO - main.py - train - 74 - 【train】 epoch：0 step:49/26861 loss：2.413257 2021-08-22 02:33:11,596 - INFO - main.py - train - 74 - 【train】 epoch：0 step:50/26861 loss：2.638843 2021-08-22 02:33:13,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:51/26861 loss：2.570464 2021-08-22 02:33:14,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:52/26861 loss：3.015094 2021-08-22 02:33:16,419 - INFO - main.py - train - 74 - 【train】 epoch：0 step:53/26861 loss：2.770888 2021-08-22 02:33:18,034 - INFO - main.py - train - 74 - 【train】 epoch：0 step:54/26861 loss：2.168234 2021-08-22 02:33:19,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:55/26861 loss：2.167786 2021-08-22 02:33:21,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:56/26861 loss：2.265311 2021-08-22 02:33:22,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:57/26861 loss：1.976778 2021-08-22 02:33:24,459 - INFO - main.py - train - 74 - 【train】 epoch：0 step:58/26861 loss：2.200427 2021-08-22 02:33:26,067 - INFO - main.py - train - 74 - 【train】 epoch：0 step:59/26861 loss：2.064728 2021-08-22 02:33:27,659 - INFO - main.py - train - 74 - 【train】 epoch：0 step:60/26861 loss：1.751666 2021-08-22 02:33:29,269 - INFO - main.py - train - 74 - 【train】 epoch：0 step:61/26861 loss：1.928290 2021-08-22 02:33:30,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:62/26861 loss：2.001874 2021-08-22 02:33:32,485 - INFO - main.py - train - 74 - 【train】 epoch：0 step:63/26861 loss：1.744833 2021-08-22 02:33:34,092 - INFO - main.py - train - 74 - 【train】 epoch：0 step:64/26861 loss：3.052425 2021-08-22 02:33:35,696 - INFO - main.py - train - 74 - 【train】 epoch：0 step:65/26861 loss：2.853979 2021-08-22 02:33:37,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:66/26861 loss：2.198864 2021-08-22 02:33:38,907 - INFO - main.py - train - 74 - 【train】 epoch：0 step:67/26861 loss：1.881151 2021-08-22 02:33:40,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:68/26861 loss：3.175004 2021-08-22 02:33:42,116 - INFO - main.py - train - 74 - 【train】 epoch：0 step:69/26861 loss：3.164885 2021-08-22 02:33:43,728 - INFO - main.py - train - 74 - 【train】 epoch：0 step:70/26861 loss：1.875186 2021-08-22 02:33:45,331 - INFO - main.py - train - 74 - 【train】 epoch：0 step:71/26861 loss：1.846274 2021-08-22 02:33:46,936 - INFO - main.py - train - 74 - 【train】 epoch：0 step:72/26861 loss：2.091690 2021-08-22 02:33:48,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:73/26861 loss：1.992418 2021-08-22 02:33:50,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:74/26861 loss：3.058359 2021-08-22 02:33:51,770 - INFO - main.py - train - 74 - 【train】 epoch：0 step:75/26861 loss：2.495291 2021-08-22 02:33:53,373 - INFO - main.py - train - 74 - 【train】 epoch：0 step:76/26861 loss：2.561932 2021-08-22 02:33:54,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:77/26861 loss：2.206700 2021-08-22 02:33:56,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:78/26861 loss：3.246675 2021-08-22 02:33:58,190 - INFO - main.py - train - 74 - 【train】 epoch：0 step:79/26861 loss：2.932337 2021-08-22 02:33:59,797 - INFO - main.py - train - 74 - 【train】 epoch：0 step:80/26861 loss：2.265726 2021-08-22 02:34:01,397 - INFO - main.py - train - 74 - 【train】 epoch：0 step:81/26861 loss：2.104721 2021-08-22 02:34:03,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:82/26861 loss：2.276955 2021-08-22 02:34:04,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:83/26861 loss：2.101730 2021-08-22 02:34:06,218 - INFO - main.py - train - 74 - 【train】 epoch：0 step:84/26861 loss：1.761006 2021-08-22 02:34:07,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:85/26861 loss：1.518919 2021-08-22 02:34:09,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:86/26861 loss：3.464727 2021-08-22 02:34:11,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:87/26861 loss：3.128826 2021-08-22 02:34:12,660 - INFO - main.py - train - 74 - 【train】 epoch：0 step:88/26861 loss：2.477906 2021-08-22 02:34:14,267 - INFO - main.py - train - 74 - 【train】 epoch：0 step:89/26861 loss：2.458799 2021-08-22 02:34:15,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:90/26861 loss：2.227661 2021-08-22 02:34:17,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:91/26861 loss：2.089053 2021-08-22 02:34:19,097 - INFO - main.py - train - 74 - 【train】 epoch：0 step:92/26861 loss：2.674550 2021-08-22 02:34:20,734 - INFO - main.py - train - 74 - 【train】 epoch：0 step:93/26861 loss：1.936519 2021-08-22 02:34:22,365 - INFO - main.py - train - 74 - 【train】 epoch：0 step:94/26861 loss：1.034458 2021-08-22 02:34:24,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:95/26861 loss：0.446986 2021-08-22 02:34:25,650 - INFO - main.py - train - 74 - 【train】 epoch：0 step:96/26861 loss：0.760773 2021-08-22 02:34:27,285 - INFO - main.py - train - 74 - 【train】 epoch：0 step:97/26861 loss：0.733847 2021-08-22 02:34:28,926 - INFO - main.py - train - 74 - 【train】 epoch：0 step:98/26861 loss：2.333756 2021-08-22 02:34:30,558 - INFO - main.py - train - 74 - 【train】 epoch：0 step:99/26861 loss：2.121571 2021-08-22 02:34:32,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:100/26861 loss：1.511965 2021-08-22 02:34:33,832 - INFO - main.py - train - 74 - 【train】 epoch：0 step:101/26861 loss：1.387739 2021-08-22 02:34:35,457 - INFO - main.py - train - 74 - 【train】 epoch：0 step:102/26861 loss：2.249066 2021-08-22 02:34:37,083 - INFO - main.py - train - 74 - 【train】 epoch：0 step:103/26861 loss：2.263341 2021-08-22 02:34:38,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:104/26861 loss：2.298881 2021-08-22 02:34:40,324 - INFO - main.py - train - 74 - 【train】 epoch：0 step:105/26861 loss：1.430516 2021-08-22 02:34:41,919 - INFO - main.py - train - 74 - 【train】 epoch：0 step:106/26861 loss：1.785924 2021-08-22 02:34:43,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:107/26861 loss：1.654369 2021-08-22 02:34:45,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:108/26861 loss：3.148817 2021-08-22 02:34:46,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:109/26861 loss：2.625090 2021-08-22 02:34:48,335 - INFO - main.py - train - 74 - 【train】 epoch：0 step:110/26861 loss：2.015748 2021-08-22 02:34:49,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:111/26861 loss：1.916797 2021-08-22 02:34:51,561 - INFO - main.py - train - 74 - 【train】 epoch：0 step:112/26861 loss：2.558492 2021-08-22 02:34:53,177 - INFO - main.py - train - 74 - 【train】 epoch：0 step:113/26861 loss：2.139886 2021-08-22 02:34:54,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:114/26861 loss：1.200817 2021-08-22 02:34:56,386 - INFO - main.py - train - 74 - 【train】 epoch：0 step:115/26861 loss：1.075712 2021-08-22 02:34:57,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:116/26861 loss：1.708529 2021-08-22 02:34:59,583 - INFO - main.py - train - 74 - 【train】 epoch：0 step:117/26861 loss：1.731808 2021-08-22 02:35:01,189 - INFO - main.py - train - 74 - 【train】 epoch：0 step:118/26861 loss：1.981368 2021-08-22 02:35:02,793 - INFO - main.py - train - 74 - 【train】 epoch：0 step:119/26861 loss：1.735142 2021-08-22 02:35:04,410 - INFO - main.py - train - 74 - 【train】 epoch：0 step:120/26861 loss：2.435324 2021-08-22 02:35:06,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:121/26861 loss：2.300822 2021-08-22 02:35:07,608 - INFO - main.py - train - 74 - 【train】 epoch：0 step:122/26861 loss：2.277408 2021-08-22 02:35:09,213 - INFO - main.py - train - 74 - 【train】 epoch：0 step:123/26861 loss：2.225678 2021-08-22 02:35:10,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:124/26861 loss：1.528372 2021-08-22 02:35:12,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:125/26861 loss：1.449397 2021-08-22 02:35:14,035 - INFO - main.py - train - 74 - 【train】 epoch：0 step:126/26861 loss：1.325629 2021-08-22 02:35:15,642 - INFO - main.py - train - 74 - 【train】 epoch：0 step:127/26861 loss：1.398346 2021-08-22 02:35:17,249 - INFO - main.py - train - 74 - 【train】 epoch：0 step:128/26861 loss：1.502716 2021-08-22 02:35:18,859 - INFO - main.py - train - 74 - 【train】 epoch：0 step:129/26861 loss：1.333978 2021-08-22 02:35:20,459 - INFO - main.py - train - 74 - 【train】 epoch：0 step:130/26861 loss：1.219195 2021-08-22 02:35:22,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:131/26861 loss：1.100988 2021-08-22 02:35:23,670 - INFO - main.py - train - 74 - 【train】 epoch：0 step:132/26861 loss：1.549850 2021-08-22 02:35:25,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:133/26861 loss：1.397277 2021-08-22 02:35:26,884 - INFO - main.py - train - 74 - 【train】 epoch：0 step:134/26861 loss：2.137078 2021-08-22 02:35:28,491 - INFO - main.py - train - 74 - 【train】 epoch：0 step:135/26861 loss：2.150155 2021-08-22 02:35:30,099 - INFO - main.py - train - 74 - 【train】 epoch：0 step:136/26861 loss：1.164771 2021-08-22 02:35:31,710 - INFO - main.py - train - 74 - 【train】 epoch：0 step:137/26861 loss：1.015203 2021-08-22 02:35:33,315 - INFO - main.py - train - 74 - 【train】 epoch：0 step:138/26861 loss：1.492158 2021-08-22 02:35:34,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:139/26861 loss：1.574528 2021-08-22 02:35:36,525 - INFO - main.py - train - 74 - 【train】 epoch：0 step:140/26861 loss：1.556406 2021-08-22 02:35:38,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:141/26861 loss：1.593291 2021-08-22 02:35:39,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:142/26861 loss：0.427689 2021-08-22 02:35:41,331 - INFO - main.py - train - 74 - 【train】 epoch：0 step:143/26861 loss：0.325600 2021-08-22 02:35:42,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:144/26861 loss：1.016948 2021-08-22 02:35:44,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:145/26861 loss：1.064268 2021-08-22 02:35:46,145 - INFO - main.py - train - 74 - 【train】 epoch：0 step:146/26861 loss：1.994802 2021-08-22 02:35:47,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:147/26861 loss：1.833105 2021-08-22 02:35:49,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:148/26861 loss：2.322971 2021-08-22 02:35:50,938 - INFO - main.py - train - 74 - 【train】 epoch：0 step:149/26861 loss：2.180504 2021-08-22 02:35:52,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:150/26861 loss：1.070897 2021-08-22 02:35:54,152 - INFO - main.py - train - 74 - 【train】 epoch：0 step:151/26861 loss：1.042550 2021-08-22 02:35:55,760 - INFO - main.py - train - 74 - 【train】 epoch：0 step:152/26861 loss：0.911973 2021-08-22 02:35:57,359 - INFO - main.py - train - 74 - 【train】 epoch：0 step:153/26861 loss：0.829611 2021-08-22 02:35:58,964 - INFO - main.py - train - 74 - 【train】 epoch：0 step:154/26861 loss：1.333769 2021-08-22 02:36:00,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:155/26861 loss：1.341348 2021-08-22 02:36:02,175 - INFO - main.py - train - 74 - 【train】 epoch：0 step:156/26861 loss：3.304440 2021-08-22 02:36:03,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:157/26861 loss：3.067371 2021-08-22 02:36:05,394 - INFO - main.py - train - 74 - 【train】 epoch：0 step:158/26861 loss：1.407171 2021-08-22 02:36:06,995 - INFO - main.py - train - 74 - 【train】 epoch：0 step:159/26861 loss：1.421953 2021-08-22 02:36:08,602 - INFO - main.py - train - 74 - 【train】 epoch：0 step:160/26861 loss：1.483050 2021-08-22 02:36:10,217 - INFO - main.py - train - 74 - 【train】 epoch：0 step:161/26861 loss：1.486681 2021-08-22 02:36:11,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:162/26861 loss：0.723965 2021-08-22 02:36:13,418 - INFO - main.py - train - 74 - 【train】 epoch：0 step:163/26861 loss：0.766137 2021-08-22 02:36:15,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:164/26861 loss：1.227495 2021-08-22 02:36:16,627 - INFO - main.py - train - 74 - 【train】 epoch：0 step:165/26861 loss：1.291532 2021-08-22 02:36:18,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:166/26861 loss：0.475314 2021-08-22 02:36:19,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:167/26861 loss：0.439850 2021-08-22 02:36:21,465 - INFO - main.py - train - 74 - 【train】 epoch：0 step:168/26861 loss：1.395181 2021-08-22 02:36:23,070 - INFO - main.py - train - 74 - 【train】 epoch：0 step:169/26861 loss：1.202137 2021-08-22 02:36:24,682 - INFO - main.py - train - 74 - 【train】 epoch：0 step:170/26861 loss：1.171771 2021-08-22 02:36:26,287 - INFO - main.py - train - 74 - 【train】 epoch：0 step:171/26861 loss：1.183440 2021-08-22 02:36:27,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:172/26861 loss：1.251794 2021-08-22 02:36:29,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:173/26861 loss：1.210286 2021-08-22 02:36:31,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:174/26861 loss：1.186426 2021-08-22 02:36:32,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:175/26861 loss：0.947672 2021-08-22 02:36:34,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:176/26861 loss：0.990556 2021-08-22 02:36:35,907 - INFO - main.py - train - 74 - 【train】 epoch：0 step:177/26861 loss：0.968417 2021-08-22 02:36:37,511 - INFO - main.py - train - 74 - 【train】 epoch：0 step:178/26861 loss：1.692835 2021-08-22 02:36:39,122 - INFO - main.py - train - 74 - 【train】 epoch：0 step:179/26861 loss：1.685589 2021-08-22 02:36:40,734 - INFO - main.py - train - 74 - 【train】 epoch：0 step:180/26861 loss：1.296057 2021-08-22 02:36:42,347 - INFO - main.py - train - 74 - 【train】 epoch：0 step:181/26861 loss：1.108164 2021-08-22 02:36:44,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:182/26861 loss：1.545717 2021-08-22 02:36:45,652 - INFO - main.py - train - 74 - 【train】 epoch：0 step:183/26861 loss：1.450899 2021-08-22 02:36:47,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:184/26861 loss：1.072894 2021-08-22 02:36:48,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:185/26861 loss：0.975576 2021-08-22 02:36:50,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:186/26861 loss：1.575855 2021-08-22 02:36:52,088 - INFO - main.py - train - 74 - 【train】 epoch：0 step:187/26861 loss：1.417663 2021-08-22 02:36:53,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:188/26861 loss：2.116520 2021-08-22 02:36:55,297 - INFO - main.py - train - 74 - 【train】 epoch：0 step:189/26861 loss：1.382143 2021-08-22 02:36:56,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:190/26861 loss：1.700004 2021-08-22 02:36:58,508 - INFO - main.py - train - 74 - 【train】 epoch：0 step:191/26861 loss：1.562486 2021-08-22 02:37:00,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:192/26861 loss：1.150621 2021-08-22 02:37:01,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:193/26861 loss：0.924886 2021-08-22 02:37:03,328 - INFO - main.py - train - 74 - 【train】 epoch：0 step:194/26861 loss：1.489106 2021-08-22 02:37:04,928 - INFO - main.py - train - 74 - 【train】 epoch：0 step:195/26861 loss：1.435854 2021-08-22 02:37:06,535 - INFO - main.py - train - 74 - 【train】 epoch：0 step:196/26861 loss：0.403787 2021-08-22 02:37:08,142 - INFO - main.py - train - 74 - 【train】 epoch：0 step:197/26861 loss：0.424682 2021-08-22 02:37:09,747 - INFO - main.py - train - 74 - 【train】 epoch：0 step:198/26861 loss：0.693608 2021-08-22 02:37:11,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:199/26861 loss：0.777840 2021-08-22 02:37:12,965 - INFO - main.py - train - 74 - 【train】 epoch：0 step:200/26861 loss：0.752913 2021-08-22 02:37:14,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:201/26861 loss：0.707055 2021-08-22 02:37:16,173 - INFO - main.py - train - 74 - 【train】 epoch：0 step:202/26861 loss：1.024532 2021-08-22 02:37:17,775 - INFO - main.py - train - 74 - 【train】 epoch：0 step:203/26861 loss：1.083793 2021-08-22 02:37:19,374 - INFO - main.py - train - 74 - 【train】 epoch：0 step:204/26861 loss：0.532311 2021-08-22 02:37:20,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:205/26861 loss：0.349057 2021-08-22 02:37:22,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:206/26861 loss：1.398644 2021-08-22 02:37:24,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:207/26861 loss：1.051102 2021-08-22 02:37:25,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:208/26861 loss：0.809927 2021-08-22 02:37:27,443 - INFO - main.py - train - 74 - 【train】 epoch：0 step:209/26861 loss：0.853914 2021-08-22 02:37:29,044 - INFO - main.py - train - 74 - 【train】 epoch：0 step:210/26861 loss：0.443116 2021-08-22 02:37:30,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:211/26861 loss：0.383247 2021-08-22 02:37:32,245 - INFO - main.py - train - 74 - 【train】 epoch：0 step:212/26861 loss：0.816229 2021-08-22 02:37:33,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:213/26861 loss：0.753187 2021-08-22 02:37:35,458 - INFO - main.py - train - 74 - 【train】 epoch：0 step:214/26861 loss：0.929706 2021-08-22 02:37:37,071 - INFO - main.py - train - 74 - 【train】 epoch：0 step:215/26861 loss：0.889861 2021-08-22 02:37:38,673 - INFO - main.py - train - 74 - 【train】 epoch：0 step:216/26861 loss：0.693661 2021-08-22 02:37:40,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:217/26861 loss：0.469591 2021-08-22 02:37:41,880 - INFO - main.py - train - 74 - 【train】 epoch：0 step:218/26861 loss：2.449661 2021-08-22 02:37:43,485 - INFO - main.py - train - 74 - 【train】 epoch：0 step:219/26861 loss：2.051485 2021-08-22 02:37:45,085 - INFO - main.py - train - 74 - 【train】 epoch：0 step:220/26861 loss：0.613573 2021-08-22 02:37:46,691 - INFO - main.py - train - 74 - 【train】 epoch：0 step:221/26861 loss：0.595242 2021-08-22 02:37:48,290 - INFO - main.py - train - 74 - 【train】 epoch：0 step:222/26861 loss：1.105332 2021-08-22 02:37:49,898 - INFO - main.py - train - 74 - 【train】 epoch：0 step:223/26861 loss：0.782947 2021-08-22 02:37:51,500 - INFO - main.py - train - 74 - 【train】 epoch：0 step:224/26861 loss：1.126497 2021-08-22 02:37:53,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:225/26861 loss：0.953309 2021-08-22 02:37:54,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:226/26861 loss：0.937192 2021-08-22 02:37:56,304 - INFO - main.py - train - 74 - 【train】 epoch：0 step:227/26861 loss：0.958879 2021-08-22 02:37:57,920 - INFO - main.py - train - 74 - 【train】 epoch：0 step:228/26861 loss：0.833035 2021-08-22 02:37:59,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:229/26861 loss：0.770137 2021-08-22 02:38:01,156 - INFO - main.py - train - 74 - 【train】 epoch：0 step:230/26861 loss：0.744602 2021-08-22 02:38:02,772 - INFO - main.py - train - 74 - 【train】 epoch：0 step:231/26861 loss：0.744316 2021-08-22 02:38:04,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:232/26861 loss：0.354871 2021-08-22 02:38:05,974 - INFO - main.py - train - 74 - 【train】 epoch：0 step:233/26861 loss：0.336799 2021-08-22 02:38:07,581 - INFO - main.py - train - 74 - 【train】 epoch：0 step:234/26861 loss：1.103823 2021-08-22 02:38:09,191 - INFO - main.py - train - 74 - 【train】 epoch：0 step:235/26861 loss：0.854648 2021-08-22 02:38:10,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:236/26861 loss：0.442341 2021-08-22 02:38:12,400 - INFO - main.py - train - 74 - 【train】 epoch：0 step:237/26861 loss：0.489096 2021-08-22 02:38:14,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:238/26861 loss：1.187228 2021-08-22 02:38:15,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:239/26861 loss：1.095626 2021-08-22 02:38:17,233 - INFO - main.py - train - 74 - 【train】 epoch：0 step:240/26861 loss：1.265073 2021-08-22 02:38:18,835 - INFO - main.py - train - 74 - 【train】 epoch：0 step:241/26861 loss：1.112602 2021-08-22 02:38:20,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:242/26861 loss：0.851067 2021-08-22 02:38:22,048 - INFO - main.py - train - 74 - 【train】 epoch：0 step:243/26861 loss：0.817657 2021-08-22 02:38:23,645 - INFO - main.py - train - 74 - 【train】 epoch：0 step:244/26861 loss：0.566206 2021-08-22 02:38:25,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:245/26861 loss：0.482804 2021-08-22 02:38:26,862 - INFO - main.py - train - 74 - 【train】 epoch：0 step:246/26861 loss：1.437895 2021-08-22 02:38:28,485 - INFO - main.py - train - 74 - 【train】 epoch：0 step:247/26861 loss：0.612645 2021-08-22 02:38:30,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:248/26861 loss：1.225699 2021-08-22 02:38:31,697 - INFO - main.py - train - 74 - 【train】 epoch：0 step:249/26861 loss：0.765839 2021-08-22 02:38:33,308 - INFO - main.py - train - 74 - 【train】 epoch：0 step:250/26861 loss：0.034182 2021-08-22 02:38:34,936 - INFO - main.py - train - 74 - 【train】 epoch：0 step:251/26861 loss：0.033324 2021-08-22 02:38:36,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:252/26861 loss：0.819809 2021-08-22 02:38:38,157 - INFO - main.py - train - 74 - 【train】 epoch：0 step:253/26861 loss：0.804897 2021-08-22 02:38:39,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:254/26861 loss：1.683641 2021-08-22 02:38:41,369 - INFO - main.py - train - 74 - 【train】 epoch：0 step:255/26861 loss：0.942720 2021-08-22 02:38:42,979 - INFO - main.py - train - 74 - 【train】 epoch：0 step:256/26861 loss：1.777996 2021-08-22 02:38:44,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:257/26861 loss：1.616402 2021-08-22 02:38:46,191 - INFO - main.py - train - 74 - 【train】 epoch：0 step:258/26861 loss：1.645957 2021-08-22 02:38:47,798 - INFO - main.py - train - 74 - 【train】 epoch：0 step:259/26861 loss：1.553137 2021-08-22 02:38:49,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:260/26861 loss：1.226935 2021-08-22 02:38:51,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:261/26861 loss：0.888893 2021-08-22 02:38:52,610 - INFO - main.py - train - 74 - 【train】 epoch：0 step:262/26861 loss：0.972488 2021-08-22 02:38:54,214 - INFO - main.py - train - 74 - 【train】 epoch：0 step:263/26861 loss：0.938251 2021-08-22 02:38:55,841 - INFO - main.py - train - 74 - 【train】 epoch：0 step:264/26861 loss：0.949319 2021-08-22 02:38:57,464 - INFO - main.py - train - 74 - 【train】 epoch：0 step:265/26861 loss：1.063216 2021-08-22 02:38:59,079 - INFO - main.py - train - 74 - 【train】 epoch：0 step:266/26861 loss：0.953501 2021-08-22 02:39:00,684 - INFO - main.py - train - 74 - 【train】 epoch：0 step:267/26861 loss：1.112357 2021-08-22 02:39:02,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:268/26861 loss：1.730602 2021-08-22 02:39:03,916 - INFO - main.py - train - 74 - 【train】 epoch：0 step:269/26861 loss：1.287374 2021-08-22 02:39:05,524 - INFO - main.py - train - 74 - 【train】 epoch：0 step:270/26861 loss：0.665767 2021-08-22 02:39:07,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:271/26861 loss：0.660157 2021-08-22 02:39:08,754 - INFO - main.py - train - 74 - 【train】 epoch：0 step:272/26861 loss：0.394073 2021-08-22 02:39:10,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:273/26861 loss：0.350958 2021-08-22 02:39:11,983 - INFO - main.py - train - 74 - 【train】 epoch：0 step:274/26861 loss：1.098894 2021-08-22 02:39:13,590 - INFO - main.py - train - 74 - 【train】 epoch：0 step:275/26861 loss：0.906025 2021-08-22 02:39:15,203 - INFO - main.py - train - 74 - 【train】 epoch：0 step:276/26861 loss：1.148221 2021-08-22 02:39:16,817 - INFO - main.py - train - 74 - 【train】 epoch：0 step:277/26861 loss：1.036062 2021-08-22 02:39:18,417 - INFO - main.py - train - 74 - 【train】 epoch：0 step:278/26861 loss：1.005752 2021-08-22 02:39:20,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:279/26861 loss：0.904643 2021-08-22 02:39:21,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:280/26861 loss：0.991316 2021-08-22 02:39:23,232 - INFO - main.py - train - 74 - 【train】 epoch：0 step:281/26861 loss：0.879912 2021-08-22 02:39:24,842 - INFO - main.py - train - 74 - 【train】 epoch：0 step:282/26861 loss：0.609837 2021-08-22 02:39:26,449 - INFO - main.py - train - 74 - 【train】 epoch：0 step:283/26861 loss：0.625944 2021-08-22 02:39:28,055 - INFO - main.py - train - 74 - 【train】 epoch：0 step:284/26861 loss：0.571535 2021-08-22 02:39:29,657 - INFO - main.py - train - 74 - 【train】 epoch：0 step:285/26861 loss：0.441039 2021-08-22 02:39:31,257 - INFO - main.py - train - 74 - 【train】 epoch：0 step:286/26861 loss：0.918937 2021-08-22 02:39:32,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:287/26861 loss：0.833298 2021-08-22 02:39:34,464 - INFO - main.py - train - 74 - 【train】 epoch：0 step:288/26861 loss：1.397583 2021-08-22 02:39:36,076 - INFO - main.py - train - 74 - 【train】 epoch：0 step:289/26861 loss：1.293350 2021-08-22 02:39:37,684 - INFO - main.py - train - 74 - 【train】 epoch：0 step:290/26861 loss：0.882050 2021-08-22 02:39:39,295 - INFO - main.py - train - 74 - 【train】 epoch：0 step:291/26861 loss：0.775879 2021-08-22 02:39:40,904 - INFO - main.py - train - 74 - 【train】 epoch：0 step:292/26861 loss：1.295624 2021-08-22 02:39:42,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:293/26861 loss：1.070225 2021-08-22 02:39:44,119 - INFO - main.py - train - 74 - 【train】 epoch：0 step:294/26861 loss：0.650078 2021-08-22 02:39:45,737 - INFO - main.py - train - 74 - 【train】 epoch：0 step:295/26861 loss：0.525070 2021-08-22 02:39:47,358 - INFO - main.py - train - 74 - 【train】 epoch：0 step:296/26861 loss：0.057886 2021-08-22 02:39:48,980 - INFO - main.py - train - 74 - 【train】 epoch：0 step:297/26861 loss：0.057482 2021-08-22 02:39:50,596 - INFO - main.py - train - 74 - 【train】 epoch：0 step:298/26861 loss：0.152117 2021-08-22 02:39:52,215 - INFO - main.py - train - 74 - 【train】 epoch：0 step:299/26861 loss：0.140266 2021-08-22 02:39:53,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:300/26861 loss：0.955612 2021-08-22 02:39:55,424 - INFO - main.py - train - 74 - 【train】 epoch：0 step:301/26861 loss：0.810442 2021-08-22 02:39:57,042 - INFO - main.py - train - 74 - 【train】 epoch：0 step:302/26861 loss：1.208935 2021-08-22 02:39:58,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:303/26861 loss：1.079340 2021-08-22 02:40:00,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:304/26861 loss：0.675035 2021-08-22 02:40:01,883 - INFO - main.py - train - 74 - 【train】 epoch：0 step:305/26861 loss：0.495038 2021-08-22 02:40:03,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:306/26861 loss：1.004882 2021-08-22 02:40:05,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:307/26861 loss：0.967269 2021-08-22 02:40:06,694 - INFO - main.py - train - 74 - 【train】 epoch：0 step:308/26861 loss：0.912968 2021-08-22 02:40:08,295 - INFO - main.py - train - 74 - 【train】 epoch：0 step:309/26861 loss：0.829073 2021-08-22 02:40:09,889 - INFO - main.py - train - 74 - 【train】 epoch：0 step:310/26861 loss：0.604312 2021-08-22 02:40:11,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:311/26861 loss：0.489272 2021-08-22 02:40:13,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:312/26861 loss：1.731334 2021-08-22 02:40:14,696 - INFO - main.py - train - 74 - 【train】 epoch：0 step:313/26861 loss：1.444967 2021-08-22 02:40:16,305 - INFO - main.py - train - 74 - 【train】 epoch：0 step:314/26861 loss：1.459198 2021-08-22 02:40:17,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:315/26861 loss：1.183138 2021-08-22 02:40:19,520 - INFO - main.py - train - 74 - 【train】 epoch：0 step:316/26861 loss：2.667064 2021-08-22 02:40:21,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:317/26861 loss：2.133322 2021-08-22 02:40:22,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:318/26861 loss：0.763976 2021-08-22 02:40:24,345 - INFO - main.py - train - 74 - 【train】 epoch：0 step:319/26861 loss：0.643981 2021-08-22 02:40:25,953 - INFO - main.py - train - 74 - 【train】 epoch：0 step:320/26861 loss：0.937954 2021-08-22 02:40:27,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:321/26861 loss：0.765980 2021-08-22 02:40:29,161 - INFO - main.py - train - 74 - 【train】 epoch：0 step:322/26861 loss：1.108898 2021-08-22 02:40:30,764 - INFO - main.py - train - 74 - 【train】 epoch：0 step:323/26861 loss：1.102515 2021-08-22 02:40:32,364 - INFO - main.py - train - 74 - 【train】 epoch：0 step:324/26861 loss：1.366665 2021-08-22 02:40:33,969 - INFO - main.py - train - 74 - 【train】 epoch：0 step:325/26861 loss：0.956048 2021-08-22 02:40:35,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:326/26861 loss：0.510595 2021-08-22 02:40:37,181 - INFO - main.py - train - 74 - 【train】 epoch：0 step:327/26861 loss：0.468671 2021-08-22 02:40:38,791 - INFO - main.py - train - 74 - 【train】 epoch：0 step:328/26861 loss：0.411533 2021-08-22 02:40:40,404 - INFO - main.py - train - 74 - 【train】 epoch：0 step:329/26861 loss：0.381671 2021-08-22 02:40:42,009 - INFO - main.py - train - 74 - 【train】 epoch：0 step:330/26861 loss：0.894501 2021-08-22 02:40:43,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:331/26861 loss：0.750643 2021-08-22 02:40:45,225 - INFO - main.py - train - 74 - 【train】 epoch：0 step:332/26861 loss：0.729329 2021-08-22 02:40:46,833 - INFO - main.py - train - 74 - 【train】 epoch：0 step:333/26861 loss：0.738138 2021-08-22 02:40:48,437 - INFO - main.py - train - 74 - 【train】 epoch：0 step:334/26861 loss：1.225037 2021-08-22 02:40:50,041 - INFO - main.py - train - 74 - 【train】 epoch：0 step:335/26861 loss：0.938987 2021-08-22 02:40:51,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:336/26861 loss：0.629762 2021-08-22 02:40:53,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:337/26861 loss：0.529096 2021-08-22 02:40:54,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:338/26861 loss：1.015763 2021-08-22 02:40:56,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:339/26861 loss：0.887170 2021-08-22 02:40:58,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:340/26861 loss：1.174530 2021-08-22 02:40:59,673 - INFO - main.py - train - 74 - 【train】 epoch：0 step:341/26861 loss：0.983100 2021-08-22 02:41:01,277 - INFO - main.py - train - 74 - 【train】 epoch：0 step:342/26861 loss：1.045447 2021-08-22 02:41:02,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:343/26861 loss：0.978480 2021-08-22 02:41:04,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:344/26861 loss：0.842063 2021-08-22 02:41:06,095 - INFO - main.py - train - 74 - 【train】 epoch：0 step:345/26861 loss：0.725653 2021-08-22 02:41:07,728 - INFO - main.py - train - 74 - 【train】 epoch：0 step:346/26861 loss：0.715718 2021-08-22 02:41:09,359 - INFO - main.py - train - 74 - 【train】 epoch：0 step:347/26861 loss：0.654840 2021-08-22 02:41:10,986 - INFO - main.py - train - 74 - 【train】 epoch：0 step:348/26861 loss：0.398233 2021-08-22 02:41:12,603 - INFO - main.py - train - 74 - 【train】 epoch：0 step:349/26861 loss：0.376298 2021-08-22 02:41:14,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:350/26861 loss：0.447436 2021-08-22 02:41:15,806 - INFO - main.py - train - 74 - 【train】 epoch：0 step:351/26861 loss：0.386607 2021-08-22 02:41:17,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:352/26861 loss：1.235255 2021-08-22 02:41:19,011 - INFO - main.py - train - 74 - 【train】 epoch：0 step:353/26861 loss：1.019101 2021-08-22 02:41:20,611 - INFO - main.py - train - 74 - 【train】 epoch：0 step:354/26861 loss：1.150685 2021-08-22 02:41:22,210 - INFO - main.py - train - 74 - 【train】 epoch：0 step:355/26861 loss：1.198531 2021-08-22 02:41:23,816 - INFO - main.py - train - 74 - 【train】 epoch：0 step:356/26861 loss：0.744123 2021-08-22 02:41:25,426 - INFO - main.py - train - 74 - 【train】 epoch：0 step:357/26861 loss：0.503939 2021-08-22 02:41:27,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:358/26861 loss：0.690719 2021-08-22 02:41:28,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:359/26861 loss：0.572608 2021-08-22 02:41:30,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:360/26861 loss：0.231294 2021-08-22 02:41:31,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:361/26861 loss：0.197713 2021-08-22 02:41:33,521 - INFO - main.py - train - 74 - 【train】 epoch：0 step:362/26861 loss：0.376363 2021-08-22 02:41:35,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:363/26861 loss：0.340741 2021-08-22 02:41:36,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:364/26861 loss：1.429721 2021-08-22 02:41:38,332 - INFO - main.py - train - 74 - 【train】 epoch：0 step:365/26861 loss：1.097708 2021-08-22 02:41:39,931 - INFO - main.py - train - 74 - 【train】 epoch：0 step:366/26861 loss：0.771353 2021-08-22 02:41:41,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:367/26861 loss：0.740810 2021-08-22 02:41:43,138 - INFO - main.py - train - 74 - 【train】 epoch：0 step:368/26861 loss：1.104059 2021-08-22 02:41:44,746 - INFO - main.py - train - 74 - 【train】 epoch：0 step:369/26861 loss：0.968107 2021-08-22 02:41:46,348 - INFO - main.py - train - 74 - 【train】 epoch：0 step:370/26861 loss：0.334955 2021-08-22 02:41:47,955 - INFO - main.py - train - 74 - 【train】 epoch：0 step:371/26861 loss：0.407298 2021-08-22 02:41:49,562 - INFO - main.py - train - 74 - 【train】 epoch：0 step:372/26861 loss：0.314304 2021-08-22 02:41:51,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:373/26861 loss：0.257237 2021-08-22 02:41:52,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:374/26861 loss：0.840204 2021-08-22 02:41:54,382 - INFO - main.py - train - 74 - 【train】 epoch：0 step:375/26861 loss：0.797998 2021-08-22 02:41:55,997 - INFO - main.py - train - 74 - 【train】 epoch：0 step:376/26861 loss：0.682740 2021-08-22 02:41:57,602 - INFO - main.py - train - 74 - 【train】 epoch：0 step:377/26861 loss：0.564887 2021-08-22 02:41:59,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:378/26861 loss：1.055013 2021-08-22 02:42:00,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:379/26861 loss：0.939821 2021-08-22 02:42:02,425 - INFO - main.py - train - 74 - 【train】 epoch：0 step:380/26861 loss：0.819714 2021-08-22 02:42:04,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:381/26861 loss：0.848132 2021-08-22 02:42:05,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:382/26861 loss：0.668555 2021-08-22 02:42:07,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:383/26861 loss：0.499606 2021-08-22 02:42:08,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:384/26861 loss：0.667609 2021-08-22 02:42:10,456 - INFO - main.py - train - 74 - 【train】 epoch：0 step:385/26861 loss：0.578906 2021-08-22 02:42:12,057 - INFO - main.py - train - 74 - 【train】 epoch：0 step:386/26861 loss：0.559482 2021-08-22 02:42:13,655 - INFO - main.py - train - 74 - 【train】 epoch：0 step:387/26861 loss：0.483726 2021-08-22 02:42:15,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:388/26861 loss：1.068037 2021-08-22 02:42:16,865 - INFO - main.py - train - 74 - 【train】 epoch：0 step:389/26861 loss：0.897927 2021-08-22 02:42:18,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:390/26861 loss：0.475717 2021-08-22 02:42:20,075 - INFO - main.py - train - 74 - 【train】 epoch：0 step:391/26861 loss：0.392470 2021-08-22 02:42:21,688 - INFO - main.py - train - 74 - 【train】 epoch：0 step:392/26861 loss：0.153155 2021-08-22 02:42:23,310 - INFO - main.py - train - 74 - 【train】 epoch：0 step:393/26861 loss：0.107935 2021-08-22 02:42:24,914 - INFO - main.py - train - 74 - 【train】 epoch：0 step:394/26861 loss：0.580366 2021-08-22 02:42:26,521 - INFO - main.py - train - 74 - 【train】 epoch：0 step:395/26861 loss：0.649270 2021-08-22 02:42:28,127 - INFO - main.py - train - 74 - 【train】 epoch：0 step:396/26861 loss：0.826080 2021-08-22 02:42:29,730 - INFO - main.py - train - 74 - 【train】 epoch：0 step:397/26861 loss：0.731737 2021-08-22 02:42:31,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:398/26861 loss：0.480184 2021-08-22 02:42:32,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:399/26861 loss：0.446252 2021-08-22 02:42:34,547 - INFO - main.py - train - 74 - 【train】 epoch：0 step:400/26861 loss：0.341686 2021-08-22 02:42:36,156 - INFO - main.py - train - 74 - 【train】 epoch：0 step:401/26861 loss：0.204002 2021-08-22 02:42:37,760 - INFO - main.py - train - 74 - 【train】 epoch：0 step:402/26861 loss：1.255305 2021-08-22 02:42:39,362 - INFO - main.py - train - 74 - 【train】 epoch：0 step:403/26861 loss：1.144476 2021-08-22 02:42:40,964 - INFO - main.py - train - 74 - 【train】 epoch：0 step:404/26861 loss：0.533966 2021-08-22 02:42:42,567 - INFO - main.py - train - 74 - 【train】 epoch：0 step:405/26861 loss：0.489967 2021-08-22 02:42:44,161 - INFO - main.py - train - 74 - 【train】 epoch：0 step:406/26861 loss：0.856135 2021-08-22 02:42:45,758 - INFO - main.py - train - 74 - 【train】 epoch：0 step:407/26861 loss：0.683245 2021-08-22 02:42:47,364 - INFO - main.py - train - 74 - 【train】 epoch：0 step:408/26861 loss：0.752916 2021-08-22 02:42:48,982 - INFO - main.py - train - 74 - 【train】 epoch：0 step:409/26861 loss：0.418934 2021-08-22 02:42:50,571 - INFO - main.py - train - 74 - 【train】 epoch：0 step:410/26861 loss：0.180055 2021-08-22 02:42:52,170 - INFO - main.py - train - 74 - 【train】 epoch：0 step:411/26861 loss：0.148567 2021-08-22 02:42:53,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:412/26861 loss：0.215269 2021-08-22 02:42:55,389 - INFO - main.py - train - 74 - 【train】 epoch：0 step:413/26861 loss：0.268931 2021-08-22 02:42:57,000 - INFO - main.py - train - 74 - 【train】 epoch：0 step:414/26861 loss：0.351916 2021-08-22 02:42:58,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:415/26861 loss：0.285394 2021-08-22 02:43:00,219 - INFO - main.py - train - 74 - 【train】 epoch：0 step:416/26861 loss：1.040971 2021-08-22 02:43:01,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:417/26861 loss：0.916353 2021-08-22 02:43:03,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:418/26861 loss：0.311354 2021-08-22 02:43:05,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:419/26861 loss：0.225239 2021-08-22 02:43:06,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:420/26861 loss：0.710357 2021-08-22 02:43:08,232 - INFO - main.py - train - 74 - 【train】 epoch：0 step:421/26861 loss：0.725136 2021-08-22 02:43:09,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:422/26861 loss：1.104860 2021-08-22 02:43:11,441 - INFO - main.py - train - 74 - 【train】 epoch：0 step:423/26861 loss：0.856965 2021-08-22 02:43:13,072 - INFO - main.py - train - 74 - 【train】 epoch：0 step:424/26861 loss：0.520142 2021-08-22 02:43:14,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:425/26861 loss：0.397245 2021-08-22 02:43:16,299 - INFO - main.py - train - 74 - 【train】 epoch：0 step:426/26861 loss：0.707178 2021-08-22 02:43:17,902 - INFO - main.py - train - 74 - 【train】 epoch：0 step:427/26861 loss：0.744806 2021-08-22 02:43:19,503 - INFO - main.py - train - 74 - 【train】 epoch：0 step:428/26861 loss：1.672776 2021-08-22 02:43:21,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:429/26861 loss：1.435700 2021-08-22 02:43:22,703 - INFO - main.py - train - 74 - 【train】 epoch：0 step:430/26861 loss：0.567559 2021-08-22 02:43:24,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:431/26861 loss：0.385767 2021-08-22 02:43:25,912 - INFO - main.py - train - 74 - 【train】 epoch：0 step:432/26861 loss：0.766107 2021-08-22 02:43:27,516 - INFO - main.py - train - 74 - 【train】 epoch：0 step:433/26861 loss：0.576311 2021-08-22 02:43:29,122 - INFO - main.py - train - 74 - 【train】 epoch：0 step:434/26861 loss：1.331940 2021-08-22 02:43:30,728 - INFO - main.py - train - 74 - 【train】 epoch：0 step:435/26861 loss：1.234242 2021-08-22 02:43:32,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:436/26861 loss：0.418109 2021-08-22 02:43:33,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:437/26861 loss：0.264701 2021-08-22 02:43:35,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:438/26861 loss：0.458165 2021-08-22 02:43:37,164 - INFO - main.py - train - 74 - 【train】 epoch：0 step:439/26861 loss：0.421220 2021-08-22 02:43:38,777 - INFO - main.py - train - 74 - 【train】 epoch：0 step:440/26861 loss：0.171899 2021-08-22 02:43:40,385 - INFO - main.py - train - 74 - 【train】 epoch：0 step:441/26861 loss：0.125430 2021-08-22 02:43:41,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:442/26861 loss：0.938950 2021-08-22 02:43:43,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:443/26861 loss：0.796875 2021-08-22 02:43:45,184 - INFO - main.py - train - 74 - 【train】 epoch：0 step:444/26861 loss：0.447204 2021-08-22 02:43:46,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:445/26861 loss：0.475517 2021-08-22 02:43:48,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:446/26861 loss：1.578089 2021-08-22 02:43:50,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:447/26861 loss：1.177850 2021-08-22 02:43:51,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:448/26861 loss：0.337766 2021-08-22 02:43:53,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:449/26861 loss：0.402950 2021-08-22 02:43:54,828 - INFO - main.py - train - 74 - 【train】 epoch：0 step:450/26861 loss：0.375160 2021-08-22 02:43:56,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:451/26861 loss：0.368629 2021-08-22 02:43:58,035 - INFO - main.py - train - 74 - 【train】 epoch：0 step:452/26861 loss：0.190088 2021-08-22 02:43:59,643 - INFO - main.py - train - 74 - 【train】 epoch：0 step:453/26861 loss：0.196397 2021-08-22 02:44:01,249 - INFO - main.py - train - 74 - 【train】 epoch：0 step:454/26861 loss：0.251558 2021-08-22 02:44:02,857 - INFO - main.py - train - 74 - 【train】 epoch：0 step:455/26861 loss：0.244157 2021-08-22 02:44:04,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:456/26861 loss：1.348718 2021-08-22 02:44:06,070 - INFO - main.py - train - 74 - 【train】 epoch：0 step:457/26861 loss：0.978555 2021-08-22 02:44:07,675 - INFO - main.py - train - 74 - 【train】 epoch：0 step:458/26861 loss：1.776927 2021-08-22 02:44:09,280 - INFO - main.py - train - 74 - 【train】 epoch：0 step:459/26861 loss：1.530220 2021-08-22 02:44:10,887 - INFO - main.py - train - 74 - 【train】 epoch：0 step:460/26861 loss：0.292490 2021-08-22 02:44:12,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:461/26861 loss：0.260458 2021-08-22 02:44:14,095 - INFO - main.py - train - 74 - 【train】 epoch：0 step:462/26861 loss：0.814608 2021-08-22 02:44:15,704 - INFO - main.py - train - 74 - 【train】 epoch：0 step:463/26861 loss：0.615722 2021-08-22 02:44:17,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:464/26861 loss：0.559900 2021-08-22 02:44:18,925 - INFO - main.py - train - 74 - 【train】 epoch：0 step:465/26861 loss：0.473786 2021-08-22 02:44:20,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:466/26861 loss：0.250255 2021-08-22 02:44:22,137 - INFO - main.py - train - 74 - 【train】 epoch：0 step:467/26861 loss：0.204118 2021-08-22 02:44:23,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:468/26861 loss：0.546298 2021-08-22 02:44:25,347 - INFO - main.py - train - 74 - 【train】 epoch：0 step:469/26861 loss：0.484062 2021-08-22 02:44:26,970 - INFO - main.py - train - 74 - 【train】 epoch：0 step:470/26861 loss：1.171868 2021-08-22 02:44:28,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:471/26861 loss：0.808387 2021-08-22 02:44:30,192 - INFO - main.py - train - 74 - 【train】 epoch：0 step:472/26861 loss：0.448402 2021-08-22 02:44:31,790 - INFO - main.py - train - 74 - 【train】 epoch：0 step:473/26861 loss：0.391811 2021-08-22 02:44:33,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:474/26861 loss：0.376192 2021-08-22 02:44:35,008 - INFO - main.py - train - 74 - 【train】 epoch：0 step:475/26861 loss：0.416559 2021-08-22 02:44:36,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:476/26861 loss：0.760593 2021-08-22 02:44:38,210 - INFO - main.py - train - 74 - 【train】 epoch：0 step:477/26861 loss：0.642018 2021-08-22 02:44:39,822 - INFO - main.py - train - 74 - 【train】 epoch：0 step:478/26861 loss：0.528594 2021-08-22 02:44:41,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:479/26861 loss：0.346241 2021-08-22 02:44:43,018 - INFO - main.py - train - 74 - 【train】 epoch：0 step:480/26861 loss：0.296995 2021-08-22 02:44:44,624 - INFO - main.py - train - 74 - 【train】 epoch：0 step:481/26861 loss：0.267225 2021-08-22 02:44:46,232 - INFO - main.py - train - 74 - 【train】 epoch：0 step:482/26861 loss：0.462254 2021-08-22 02:44:47,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:483/26861 loss：0.351749 2021-08-22 02:44:49,446 - INFO - main.py - train - 74 - 【train】 epoch：0 step:484/26861 loss：0.773227 2021-08-22 02:44:51,051 - INFO - main.py - train - 74 - 【train】 epoch：0 step:485/26861 loss：0.652105 2021-08-22 02:44:52,657 - INFO - main.py - train - 74 - 【train】 epoch：0 step:486/26861 loss：1.667794 2021-08-22 02:44:54,260 - INFO - main.py - train - 74 - 【train】 epoch：0 step:487/26861 loss：1.500708 2021-08-22 02:44:55,869 - INFO - main.py - train - 74 - 【train】 epoch：0 step:488/26861 loss：1.412656 2021-08-22 02:44:57,475 - INFO - main.py - train - 74 - 【train】 epoch：0 step:489/26861 loss：0.781066 2021-08-22 02:44:59,095 - INFO - main.py - train - 74 - 【train】 epoch：0 step:490/26861 loss：0.375563 2021-08-22 02:45:00,705 - INFO - main.py - train - 74 - 【train】 epoch：0 step:491/26861 loss：0.326363 2021-08-22 02:45:02,301 - INFO - main.py - train - 74 - 【train】 epoch：0 step:492/26861 loss：1.037057 2021-08-22 02:45:03,906 - INFO - main.py - train - 74 - 【train】 epoch：0 step:493/26861 loss：0.759425 2021-08-22 02:45:05,506 - INFO - main.py - train - 74 - 【train】 epoch：0 step:494/26861 loss：0.924744 2021-08-22 02:45:07,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:495/26861 loss：0.906222 2021-08-22 02:45:08,734 - INFO - main.py - train - 74 - 【train】 epoch：0 step:496/26861 loss：1.045639 2021-08-22 02:45:10,345 - INFO - main.py - train - 74 - 【train】 epoch：0 step:497/26861 loss：0.896738 2021-08-22 02:45:11,969 - INFO - main.py - train - 74 - 【train】 epoch：0 step:498/26861 loss：1.035694 2021-08-22 02:45:13,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:499/26861 loss：0.584607 2021-08-22 02:45:15,214 - INFO - main.py - train - 74 - 【train】 epoch：0 step:500/26861 loss：0.807767 2021-08-22 02:45:16,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:501/26861 loss：0.674497 2021-08-22 02:45:18,465 - INFO - main.py - train - 74 - 【train】 epoch：0 step:502/26861 loss：0.507708 2021-08-22 02:45:20,090 - INFO - main.py - train - 74 - 【train】 epoch：0 step:503/26861 loss：0.358685 2021-08-22 02:45:21,692 - INFO - main.py - train - 74 - 【train】 epoch：0 step:504/26861 loss：0.814357 2021-08-22 02:45:23,297 - INFO - main.py - train - 74 - 【train】 epoch：0 step:505/26861 loss：0.321371 2021-08-22 02:45:24,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:506/26861 loss：0.200889 2021-08-22 02:45:26,503 - INFO - main.py - train - 74 - 【train】 epoch：0 step:507/26861 loss：0.102639 2021-08-22 02:45:28,109 - INFO - main.py - train - 74 - 【train】 epoch：0 step:508/26861 loss：0.568027 2021-08-22 02:45:29,715 - INFO - main.py - train - 74 - 【train】 epoch：0 step:509/26861 loss：0.696128 2021-08-22 02:45:31,323 - INFO - main.py - train - 74 - 【train】 epoch：0 step:510/26861 loss：0.217009 2021-08-22 02:45:32,928 - INFO - main.py - train - 74 - 【train】 epoch：0 step:511/26861 loss：0.115441 2021-08-22 02:45:34,532 - INFO - main.py - train - 74 - 【train】 epoch：0 step:512/26861 loss：0.385384 2021-08-22 02:45:36,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:513/26861 loss：0.392585 2021-08-22 02:45:37,764 - INFO - main.py - train - 74 - 【train】 epoch：0 step:514/26861 loss：0.413057 2021-08-22 02:45:39,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:515/26861 loss：0.412638 2021-08-22 02:45:41,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:516/26861 loss：0.295166 2021-08-22 02:45:42,631 - INFO - main.py - train - 74 - 【train】 epoch：0 step:517/26861 loss：0.231174 2021-08-22 02:45:44,237 - INFO - main.py - train - 74 - 【train】 epoch：0 step:518/26861 loss：0.928063 2021-08-22 02:45:45,841 - INFO - main.py - train - 74 - 【train】 epoch：0 step:519/26861 loss：1.023424 2021-08-22 02:45:47,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:520/26861 loss：1.782140 2021-08-22 02:45:49,076 - INFO - main.py - train - 74 - 【train】 epoch：0 step:521/26861 loss：1.621719 2021-08-22 02:45:50,687 - INFO - main.py - train - 74 - 【train】 epoch：0 step:522/26861 loss：0.617302 2021-08-22 02:45:52,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:523/26861 loss：0.555746 2021-08-22 02:45:53,895 - INFO - main.py - train - 74 - 【train】 epoch：0 step:524/26861 loss：1.285337 2021-08-22 02:45:55,508 - INFO - main.py - train - 74 - 【train】 epoch：0 step:525/26861 loss：0.967159 2021-08-22 02:45:57,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:526/26861 loss：0.276205 2021-08-22 02:45:58,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:527/26861 loss：0.295580 2021-08-22 02:46:00,326 - INFO - main.py - train - 74 - 【train】 epoch：0 step:528/26861 loss：0.581605 2021-08-22 02:46:01,935 - INFO - main.py - train - 74 - 【train】 epoch：0 step:529/26861 loss：0.491869 2021-08-22 02:46:03,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:530/26861 loss：0.731274 2021-08-22 02:46:05,149 - INFO - main.py - train - 74 - 【train】 epoch：0 step:531/26861 loss：0.711066 2021-08-22 02:46:06,759 - INFO - main.py - train - 74 - 【train】 epoch：0 step:532/26861 loss：0.380922 2021-08-22 02:46:08,360 - INFO - main.py - train - 74 - 【train】 epoch：0 step:533/26861 loss：0.447975 2021-08-22 02:46:09,973 - INFO - main.py - train - 74 - 【train】 epoch：0 step:534/26861 loss：1.196835 2021-08-22 02:46:11,581 - INFO - main.py - train - 74 - 【train】 epoch：0 step:535/26861 loss：1.032647 2021-08-22 02:46:13,194 - INFO - main.py - train - 74 - 【train】 epoch：0 step:536/26861 loss：0.551411 2021-08-22 02:46:14,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:537/26861 loss：0.363871 2021-08-22 02:46:16,401 - INFO - main.py - train - 74 - 【train】 epoch：0 step:538/26861 loss：0.880742 2021-08-22 02:46:18,002 - INFO - main.py - train - 74 - 【train】 epoch：0 step:539/26861 loss：0.732329 2021-08-22 02:46:19,606 - INFO - main.py - train - 74 - 【train】 epoch：0 step:540/26861 loss：1.181649 2021-08-22 02:46:21,214 - INFO - main.py - train - 74 - 【train】 epoch：0 step:541/26861 loss：1.034385 2021-08-22 02:46:22,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:542/26861 loss：0.440800 2021-08-22 02:46:24,434 - INFO - main.py - train - 74 - 【train】 epoch：0 step:543/26861 loss：0.352549 2021-08-22 02:46:26,042 - INFO - main.py - train - 74 - 【train】 epoch：0 step:544/26861 loss：0.074129 2021-08-22 02:46:27,657 - INFO - main.py - train - 74 - 【train】 epoch：0 step:545/26861 loss：0.103023 2021-08-22 02:46:29,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:546/26861 loss：0.184031 2021-08-22 02:46:30,863 - INFO - main.py - train - 74 - 【train】 epoch：0 step:547/26861 loss：0.156565 2021-08-22 02:46:32,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:548/26861 loss：0.479912 2021-08-22 02:46:34,078 - INFO - main.py - train - 74 - 【train】 epoch：0 step:549/26861 loss：0.465517 2021-08-22 02:46:35,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:550/26861 loss：0.486550 2021-08-22 02:46:37,288 - INFO - main.py - train - 74 - 【train】 epoch：0 step:551/26861 loss：0.375058 2021-08-22 02:46:38,885 - INFO - main.py - train - 74 - 【train】 epoch：0 step:552/26861 loss：0.966515 2021-08-22 02:46:40,491 - INFO - main.py - train - 74 - 【train】 epoch：0 step:553/26861 loss：0.720318 2021-08-22 02:46:42,086 - INFO - main.py - train - 74 - 【train】 epoch：0 step:554/26861 loss：0.528980 2021-08-22 02:46:43,687 - INFO - main.py - train - 74 - 【train】 epoch：0 step:555/26861 loss：0.440286 2021-08-22 02:46:45,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:556/26861 loss：1.165410 2021-08-22 02:46:46,935 - INFO - main.py - train - 74 - 【train】 epoch：0 step:557/26861 loss：0.884355 2021-08-22 02:46:48,535 - INFO - main.py - train - 74 - 【train】 epoch：0 step:558/26861 loss：1.526418 2021-08-22 02:46:50,138 - INFO - main.py - train - 74 - 【train】 epoch：0 step:559/26861 loss：1.238967 2021-08-22 02:46:51,744 - INFO - main.py - train - 74 - 【train】 epoch：0 step:560/26861 loss：0.817221 2021-08-22 02:46:53,349 - INFO - main.py - train - 74 - 【train】 epoch：0 step:561/26861 loss：0.849623 2021-08-22 02:46:54,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:562/26861 loss：0.601039 2021-08-22 02:46:56,559 - INFO - main.py - train - 74 - 【train】 epoch：0 step:563/26861 loss：0.599255 2021-08-22 02:46:58,154 - INFO - main.py - train - 74 - 【train】 epoch：0 step:564/26861 loss：0.884107 2021-08-22 02:46:59,756 - INFO - main.py - train - 74 - 【train】 epoch：0 step:565/26861 loss：0.835353 2021-08-22 02:47:01,366 - INFO - main.py - train - 74 - 【train】 epoch：0 step:566/26861 loss：0.492730 2021-08-22 02:47:02,974 - INFO - main.py - train - 74 - 【train】 epoch：0 step:567/26861 loss：0.360788 2021-08-22 02:47:04,589 - INFO - main.py - train - 74 - 【train】 epoch：0 step:568/26861 loss：0.431578 2021-08-22 02:47:06,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:569/26861 loss：0.395223 2021-08-22 02:47:07,799 - INFO - main.py - train - 74 - 【train】 epoch：0 step:570/26861 loss：1.801520 2021-08-22 02:47:09,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:571/26861 loss：1.452707 2021-08-22 02:47:11,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:572/26861 loss：0.271594 2021-08-22 02:47:12,624 - INFO - main.py - train - 74 - 【train】 epoch：0 step:573/26861 loss：0.175472 2021-08-22 02:47:14,239 - INFO - main.py - train - 74 - 【train】 epoch：0 step:574/26861 loss：0.187514 2021-08-22 02:47:15,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:575/26861 loss：0.169532 2021-08-22 02:47:17,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:576/26861 loss：1.516077 2021-08-22 02:47:19,052 - INFO - main.py - train - 74 - 【train】 epoch：0 step:577/26861 loss：1.140819 2021-08-22 02:47:20,652 - INFO - main.py - train - 74 - 【train】 epoch：0 step:578/26861 loss：0.249049 2021-08-22 02:47:22,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:579/26861 loss：0.183054 2021-08-22 02:47:23,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:580/26861 loss：0.550343 2021-08-22 02:47:25,478 - INFO - main.py - train - 74 - 【train】 epoch：0 step:581/26861 loss：0.546143 2021-08-22 02:47:27,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:582/26861 loss：0.427791 2021-08-22 02:47:28,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:583/26861 loss：0.305073 2021-08-22 02:47:30,293 - INFO - main.py - train - 74 - 【train】 epoch：0 step:584/26861 loss：0.174228 2021-08-22 02:47:31,904 - INFO - main.py - train - 74 - 【train】 epoch：0 step:585/26861 loss：0.177725 2021-08-22 02:47:33,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:586/26861 loss：0.442359 2021-08-22 02:47:35,163 - INFO - main.py - train - 74 - 【train】 epoch：0 step:587/26861 loss：0.447987 2021-08-22 02:47:36,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:588/26861 loss：0.289468 2021-08-22 02:47:38,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:589/26861 loss：0.249719 2021-08-22 02:47:39,988 - INFO - main.py - train - 74 - 【train】 epoch：0 step:590/26861 loss：0.805496 2021-08-22 02:47:41,602 - INFO - main.py - train - 74 - 【train】 epoch：0 step:591/26861 loss：0.263863 2021-08-22 02:47:43,215 - INFO - main.py - train - 74 - 【train】 epoch：0 step:592/26861 loss：0.301166 2021-08-22 02:47:44,824 - INFO - main.py - train - 74 - 【train】 epoch：0 step:593/26861 loss：0.212207 2021-08-22 02:47:46,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:594/26861 loss：0.336656 2021-08-22 02:47:48,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:595/26861 loss：0.250022 2021-08-22 02:47:49,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:596/26861 loss：0.545112 2021-08-22 02:47:51,231 - INFO - main.py - train - 74 - 【train】 epoch：0 step:597/26861 loss：0.514885 2021-08-22 02:47:52,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:598/26861 loss：0.428104 2021-08-22 02:47:54,465 - INFO - main.py - train - 74 - 【train】 epoch：0 step:599/26861 loss：0.236603 2021-08-22 02:47:56,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:600/26861 loss：1.766406 2021-08-22 02:47:57,707 - INFO - main.py - train - 74 - 【train】 epoch：0 step:601/26861 loss：1.492634 2021-08-22 02:47:59,315 - INFO - main.py - train - 74 - 【train】 epoch：0 step:602/26861 loss：0.834197 2021-08-22 02:48:00,916 - INFO - main.py - train - 74 - 【train】 epoch：0 step:603/26861 loss：0.795810 2021-08-22 02:48:02,517 - INFO - main.py - train - 74 - 【train】 epoch：0 step:604/26861 loss：0.517212 2021-08-22 02:48:04,128 - INFO - main.py - train - 74 - 【train】 epoch：0 step:605/26861 loss：0.453056 2021-08-22 02:48:05,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:606/26861 loss：0.510567 2021-08-22 02:48:07,332 - INFO - main.py - train - 74 - 【train】 epoch：0 step:607/26861 loss：0.474374 2021-08-22 02:48:08,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:608/26861 loss：0.251123 2021-08-22 02:48:10,551 - INFO - main.py - train - 74 - 【train】 epoch：0 step:609/26861 loss：0.184137 2021-08-22 02:48:12,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:610/26861 loss：0.428361 2021-08-22 02:48:13,763 - INFO - main.py - train - 74 - 【train】 epoch：0 step:611/26861 loss：0.127773 2021-08-22 02:48:15,371 - INFO - main.py - train - 74 - 【train】 epoch：0 step:612/26861 loss：0.205202 2021-08-22 02:48:16,978 - INFO - main.py - train - 74 - 【train】 epoch：0 step:613/26861 loss：0.292785 2021-08-22 02:48:18,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:614/26861 loss：0.647223 2021-08-22 02:48:20,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:615/26861 loss：0.745227 2021-08-22 02:48:21,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:616/26861 loss：0.815973 2021-08-22 02:48:23,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:617/26861 loss：0.547459 2021-08-22 02:48:25,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:618/26861 loss：0.313075 2021-08-22 02:48:26,617 - INFO - main.py - train - 74 - 【train】 epoch：0 step:619/26861 loss：0.305545 2021-08-22 02:48:28,229 - INFO - main.py - train - 74 - 【train】 epoch：0 step:620/26861 loss：0.749935 2021-08-22 02:48:29,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:621/26861 loss：0.345878 2021-08-22 02:48:31,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:622/26861 loss：0.250683 2021-08-22 02:48:33,046 - INFO - main.py - train - 74 - 【train】 epoch：0 step:623/26861 loss：0.184884 2021-08-22 02:48:34,670 - INFO - main.py - train - 74 - 【train】 epoch：0 step:624/26861 loss：0.398109 2021-08-22 02:48:36,285 - INFO - main.py - train - 74 - 【train】 epoch：0 step:625/26861 loss：0.221084 2021-08-22 02:48:37,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:626/26861 loss：0.352864 2021-08-22 02:48:39,503 - INFO - main.py - train - 74 - 【train】 epoch：0 step:627/26861 loss：0.286897 2021-08-22 02:48:41,148 - INFO - main.py - train - 74 - 【train】 epoch：0 step:628/26861 loss：1.456721 2021-08-22 02:48:42,776 - INFO - main.py - train - 74 - 【train】 epoch：0 step:629/26861 loss：0.699738 2021-08-22 02:48:44,410 - INFO - main.py - train - 74 - 【train】 epoch：0 step:630/26861 loss：1.094290 2021-08-22 02:48:46,029 - INFO - main.py - train - 74 - 【train】 epoch：0 step:631/26861 loss：0.732681 2021-08-22 02:48:47,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:632/26861 loss：0.496581 2021-08-22 02:48:49,247 - INFO - main.py - train - 74 - 【train】 epoch：0 step:633/26861 loss：0.343532 2021-08-22 02:48:50,857 - INFO - main.py - train - 74 - 【train】 epoch：0 step:634/26861 loss：0.826271 2021-08-22 02:48:52,464 - INFO - main.py - train - 74 - 【train】 epoch：0 step:635/26861 loss：0.721672 2021-08-22 02:48:54,075 - INFO - main.py - train - 74 - 【train】 epoch：0 step:636/26861 loss：0.482431 2021-08-22 02:48:55,678 - INFO - main.py - train - 74 - 【train】 epoch：0 step:637/26861 loss：0.377853 2021-08-22 02:48:57,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:638/26861 loss：0.561464 2021-08-22 02:48:58,899 - INFO - main.py - train - 74 - 【train】 epoch：0 step:639/26861 loss：0.291551 2021-08-22 02:49:00,511 - INFO - main.py - train - 74 - 【train】 epoch：0 step:640/26861 loss：0.080921 2021-08-22 02:49:02,118 - INFO - main.py - train - 74 - 【train】 epoch：0 step:641/26861 loss：0.097184 2021-08-22 02:49:03,726 - INFO - main.py - train - 74 - 【train】 epoch：0 step:642/26861 loss：0.102567 2021-08-22 02:49:05,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:643/26861 loss：0.114748 2021-08-22 02:49:06,943 - INFO - main.py - train - 74 - 【train】 epoch：0 step:644/26861 loss：0.313336 2021-08-22 02:49:08,545 - INFO - main.py - train - 74 - 【train】 epoch：0 step:645/26861 loss：0.279841 2021-08-22 02:49:10,153 - INFO - main.py - train - 74 - 【train】 epoch：0 step:646/26861 loss：2.145633 2021-08-22 02:49:11,755 - INFO - main.py - train - 74 - 【train】 epoch：0 step:647/26861 loss：1.852887 2021-08-22 02:49:13,359 - INFO - main.py - train - 74 - 【train】 epoch：0 step:648/26861 loss：0.307392 2021-08-22 02:49:14,962 - INFO - main.py - train - 74 - 【train】 epoch：0 step:649/26861 loss：0.338436 2021-08-22 02:49:16,574 - INFO - main.py - train - 74 - 【train】 epoch：0 step:650/26861 loss：0.214208 2021-08-22 02:49:18,172 - INFO - main.py - train - 74 - 【train】 epoch：0 step:651/26861 loss：0.302243 2021-08-22 02:49:19,775 - INFO - main.py - train - 74 - 【train】 epoch：0 step:652/26861 loss：0.690720 2021-08-22 02:49:21,376 - INFO - main.py - train - 74 - 【train】 epoch：0 step:653/26861 loss：0.571327 2021-08-22 02:49:22,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:654/26861 loss：1.179134 2021-08-22 02:49:24,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:655/26861 loss：1.082401 2021-08-22 02:49:26,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:656/26861 loss：0.956588 2021-08-22 02:49:27,809 - INFO - main.py - train - 74 - 【train】 epoch：0 step:657/26861 loss：0.717868 2021-08-22 02:49:29,418 - INFO - main.py - train - 74 - 【train】 epoch：0 step:658/26861 loss：0.869840 2021-08-22 02:49:31,034 - INFO - main.py - train - 74 - 【train】 epoch：0 step:659/26861 loss：0.547891 2021-08-22 02:49:32,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:660/26861 loss：0.336808 2021-08-22 02:49:34,239 - INFO - main.py - train - 74 - 【train】 epoch：0 step:661/26861 loss：0.331647 2021-08-22 02:49:35,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:662/26861 loss：0.140870 2021-08-22 02:49:37,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:663/26861 loss：0.125822 2021-08-22 02:49:39,053 - INFO - main.py - train - 74 - 【train】 epoch：0 step:664/26861 loss：0.483586 2021-08-22 02:49:40,661 - INFO - main.py - train - 74 - 【train】 epoch：0 step:665/26861 loss：0.223537 2021-08-22 02:49:42,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:666/26861 loss：0.632778 2021-08-22 02:49:43,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:667/26861 loss：0.568038 2021-08-22 02:49:45,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:668/26861 loss：0.603447 2021-08-22 02:49:47,135 - INFO - main.py - train - 74 - 【train】 epoch：0 step:669/26861 loss：0.532030 2021-08-22 02:49:48,746 - INFO - main.py - train - 74 - 【train】 epoch：0 step:670/26861 loss：1.441410 2021-08-22 02:49:50,350 - INFO - main.py - train - 74 - 【train】 epoch：0 step:671/26861 loss：1.091841 2021-08-22 02:49:51,958 - INFO - main.py - train - 74 - 【train】 epoch：0 step:672/26861 loss：0.842404 2021-08-22 02:49:53,566 - INFO - main.py - train - 74 - 【train】 epoch：0 step:673/26861 loss：0.682872 2021-08-22 02:49:55,171 - INFO - main.py - train - 74 - 【train】 epoch：0 step:674/26861 loss：0.114400 2021-08-22 02:49:56,781 - INFO - main.py - train - 74 - 【train】 epoch：0 step:675/26861 loss：0.135813 2021-08-22 02:49:58,382 - INFO - main.py - train - 74 - 【train】 epoch：0 step:676/26861 loss：1.101159 2021-08-22 02:49:59,991 - INFO - main.py - train - 74 - 【train】 epoch：0 step:677/26861 loss：0.539070 2021-08-22 02:50:01,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:678/26861 loss：0.186890 2021-08-22 02:50:03,205 - INFO - main.py - train - 74 - 【train】 epoch：0 step:679/26861 loss：0.174361 2021-08-22 02:50:04,815 - INFO - main.py - train - 74 - 【train】 epoch：0 step:680/26861 loss：0.969992 2021-08-22 02:50:06,417 - INFO - main.py - train - 74 - 【train】 epoch：0 step:681/26861 loss：1.030352 2021-08-22 02:50:08,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:682/26861 loss：0.540087 2021-08-22 02:50:09,638 - INFO - main.py - train - 74 - 【train】 epoch：0 step:683/26861 loss：0.484567 2021-08-22 02:50:11,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:684/26861 loss：1.126077 2021-08-22 02:50:12,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:685/26861 loss：0.957285 2021-08-22 02:50:14,458 - INFO - main.py - train - 74 - 【train】 epoch：0 step:686/26861 loss：0.416276 2021-08-22 02:50:16,061 - INFO - main.py - train - 74 - 【train】 epoch：0 step:687/26861 loss：0.198962 2021-08-22 02:50:17,666 - INFO - main.py - train - 74 - 【train】 epoch：0 step:688/26861 loss：0.627535 2021-08-22 02:50:19,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:689/26861 loss：0.449410 2021-08-22 02:50:20,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:690/26861 loss：0.699616 2021-08-22 02:50:22,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:691/26861 loss：0.486724 2021-08-22 02:50:24,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:692/26861 loss：0.542512 2021-08-22 02:50:25,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:693/26861 loss：0.510482 2021-08-22 02:50:27,312 - INFO - main.py - train - 74 - 【train】 epoch：0 step:694/26861 loss：0.623715 2021-08-22 02:50:28,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:695/26861 loss：0.197935 2021-08-22 02:50:30,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:696/26861 loss：0.997780 2021-08-22 02:50:32,121 - INFO - main.py - train - 74 - 【train】 epoch：0 step:697/26861 loss：0.861172 2021-08-22 02:50:33,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:698/26861 loss：1.219705 2021-08-22 02:50:35,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:699/26861 loss：0.773046 2021-08-22 02:50:36,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:700/26861 loss：0.222808 2021-08-22 02:50:38,552 - INFO - main.py - train - 74 - 【train】 epoch：0 step:701/26861 loss：0.302409 2021-08-22 02:50:40,159 - INFO - main.py - train - 74 - 【train】 epoch：0 step:702/26861 loss：0.466973 2021-08-22 02:50:41,760 - INFO - main.py - train - 74 - 【train】 epoch：0 step:703/26861 loss：0.357482 2021-08-22 02:50:43,368 - INFO - main.py - train - 74 - 【train】 epoch：0 step:704/26861 loss：0.309479 2021-08-22 02:50:44,977 - INFO - main.py - train - 74 - 【train】 epoch：0 step:705/26861 loss：0.116369 2021-08-22 02:50:46,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:706/26861 loss：0.411416 2021-08-22 02:50:48,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:707/26861 loss：0.226401 2021-08-22 02:50:49,821 - INFO - main.py - train - 74 - 【train】 epoch：0 step:708/26861 loss：0.712812 2021-08-22 02:50:51,437 - INFO - main.py - train - 74 - 【train】 epoch：0 step:709/26861 loss：0.618511 2021-08-22 02:50:53,051 - INFO - main.py - train - 74 - 【train】 epoch：0 step:710/26861 loss：0.143107 2021-08-22 02:50:54,660 - INFO - main.py - train - 74 - 【train】 epoch：0 step:711/26861 loss：0.177094 2021-08-22 02:50:56,270 - INFO - main.py - train - 74 - 【train】 epoch：0 step:712/26861 loss：0.554758 2021-08-22 02:50:57,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:713/26861 loss：0.466407 2021-08-22 02:50:59,482 - INFO - main.py - train - 74 - 【train】 epoch：0 step:714/26861 loss：1.275532 2021-08-22 02:51:01,090 - INFO - main.py - train - 74 - 【train】 epoch：0 step:715/26861 loss：0.956703 2021-08-22 02:51:02,709 - INFO - main.py - train - 74 - 【train】 epoch：0 step:716/26861 loss：1.115107 2021-08-22 02:51:04,315 - INFO - main.py - train - 74 - 【train】 epoch：0 step:717/26861 loss：0.984886 2021-08-22 02:51:05,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:718/26861 loss：0.201925 2021-08-22 02:51:07,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:719/26861 loss：0.145887 2021-08-22 02:51:09,118 - INFO - main.py - train - 74 - 【train】 epoch：0 step:720/26861 loss：0.863630 2021-08-22 02:51:10,724 - INFO - main.py - train - 74 - 【train】 epoch：0 step:721/26861 loss：0.653669 2021-08-22 02:51:12,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:722/26861 loss：0.580838 2021-08-22 02:51:13,937 - INFO - main.py - train - 74 - 【train】 epoch：0 step:723/26861 loss：0.499616 2021-08-22 02:51:15,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:724/26861 loss：0.349333 2021-08-22 02:51:17,170 - INFO - main.py - train - 74 - 【train】 epoch：0 step:725/26861 loss：0.397777 2021-08-22 02:51:18,784 - INFO - main.py - train - 74 - 【train】 epoch：0 step:726/26861 loss：0.517615 2021-08-22 02:51:20,399 - INFO - main.py - train - 74 - 【train】 epoch：0 step:727/26861 loss：0.241239 2021-08-22 02:51:22,009 - INFO - main.py - train - 74 - 【train】 epoch：0 step:728/26861 loss：0.494096 2021-08-22 02:51:23,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:729/26861 loss：0.221718 2021-08-22 02:51:25,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:730/26861 loss：0.535948 2021-08-22 02:51:26,853 - INFO - main.py - train - 74 - 【train】 epoch：0 step:731/26861 loss：0.269158 2021-08-22 02:51:28,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:732/26861 loss：0.229621 2021-08-22 02:51:30,078 - INFO - main.py - train - 74 - 【train】 epoch：0 step:733/26861 loss：0.206219 2021-08-22 02:51:31,675 - INFO - main.py - train - 74 - 【train】 epoch：0 step:734/26861 loss：0.631046 2021-08-22 02:51:33,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:735/26861 loss：0.624069 2021-08-22 02:51:34,885 - INFO - main.py - train - 74 - 【train】 epoch：0 step:736/26861 loss：0.316302 2021-08-22 02:51:36,490 - INFO - main.py - train - 74 - 【train】 epoch：0 step:737/26861 loss：0.312239 2021-08-22 02:51:38,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:738/26861 loss：1.062493 2021-08-22 02:51:39,703 - INFO - main.py - train - 74 - 【train】 epoch：0 step:739/26861 loss：0.580440 2021-08-22 02:51:41,320 - INFO - main.py - train - 74 - 【train】 epoch：0 step:740/26861 loss：0.376583 2021-08-22 02:51:42,928 - INFO - main.py - train - 74 - 【train】 epoch：0 step:741/26861 loss：0.212612 2021-08-22 02:51:44,544 - INFO - main.py - train - 74 - 【train】 epoch：0 step:742/26861 loss：0.715654 2021-08-22 02:51:46,172 - INFO - main.py - train - 74 - 【train】 epoch：0 step:743/26861 loss：0.372540 2021-08-22 02:51:47,779 - INFO - main.py - train - 74 - 【train】 epoch：0 step:744/26861 loss：1.450325 2021-08-22 02:51:49,380 - INFO - main.py - train - 74 - 【train】 epoch：0 step:745/26861 loss：1.217025 2021-08-22 02:51:50,991 - INFO - main.py - train - 74 - 【train】 epoch：0 step:746/26861 loss：0.291708 2021-08-22 02:51:52,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:747/26861 loss：0.258434 2021-08-22 02:51:54,205 - INFO - main.py - train - 74 - 【train】 epoch：0 step:748/26861 loss：0.124548 2021-08-22 02:51:55,816 - INFO - main.py - train - 74 - 【train】 epoch：0 step:749/26861 loss：0.128669 2021-08-22 02:51:57,427 - INFO - main.py - train - 74 - 【train】 epoch：0 step:750/26861 loss：0.409771 2021-08-22 02:51:59,044 - INFO - main.py - train - 74 - 【train】 epoch：0 step:751/26861 loss：0.357978 2021-08-22 02:52:00,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:752/26861 loss：0.495648 2021-08-22 02:52:02,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:753/26861 loss：0.401935 2021-08-22 02:52:03,847 - INFO - main.py - train - 74 - 【train】 epoch：0 step:754/26861 loss：0.228950 2021-08-22 02:52:05,459 - INFO - main.py - train - 74 - 【train】 epoch：0 step:755/26861 loss：0.226794 2021-08-22 02:52:07,064 - INFO - main.py - train - 74 - 【train】 epoch：0 step:756/26861 loss：0.283766 2021-08-22 02:52:08,667 - INFO - main.py - train - 74 - 【train】 epoch：0 step:757/26861 loss：0.370926 2021-08-22 02:52:10,268 - INFO - main.py - train - 74 - 【train】 epoch：0 step:758/26861 loss：0.201423 2021-08-22 02:52:11,861 - INFO - main.py - train - 74 - 【train】 epoch：0 step:759/26861 loss：0.168424 2021-08-22 02:52:13,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:760/26861 loss：0.640124 2021-08-22 02:52:15,088 - INFO - main.py - train - 74 - 【train】 epoch：0 step:761/26861 loss：0.562613 2021-08-22 02:52:16,692 - INFO - main.py - train - 74 - 【train】 epoch：0 step:762/26861 loss：0.181641 2021-08-22 02:52:18,306 - INFO - main.py - train - 74 - 【train】 epoch：0 step:763/26861 loss：0.152462 2021-08-22 02:52:19,910 - INFO - main.py - train - 74 - 【train】 epoch：0 step:764/26861 loss：0.236619 2021-08-22 02:52:21,517 - INFO - main.py - train - 74 - 【train】 epoch：0 step:765/26861 loss：0.256291 2021-08-22 02:52:23,120 - INFO - main.py - train - 74 - 【train】 epoch：0 step:766/26861 loss：0.442958 2021-08-22 02:52:24,725 - INFO - main.py - train - 74 - 【train】 epoch：0 step:767/26861 loss：0.249828 2021-08-22 02:52:26,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:768/26861 loss：0.483407 2021-08-22 02:52:27,943 - INFO - main.py - train - 74 - 【train】 epoch：0 step:769/26861 loss：0.294163 2021-08-22 02:52:29,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:770/26861 loss：0.150589 2021-08-22 02:52:31,150 - INFO - main.py - train - 74 - 【train】 epoch：0 step:771/26861 loss：0.199818 2021-08-22 02:52:32,754 - INFO - main.py - train - 74 - 【train】 epoch：0 step:772/26861 loss：1.025074 2021-08-22 02:52:34,361 - INFO - main.py - train - 74 - 【train】 epoch：0 step:773/26861 loss：0.811009 2021-08-22 02:52:35,973 - INFO - main.py - train - 74 - 【train】 epoch：0 step:774/26861 loss：1.518648 2021-08-22 02:52:37,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:775/26861 loss：1.151816 2021-08-22 02:52:39,194 - INFO - main.py - train - 74 - 【train】 epoch：0 step:776/26861 loss：0.338452 2021-08-22 02:52:40,808 - INFO - main.py - train - 74 - 【train】 epoch：0 step:777/26861 loss：0.289607 2021-08-22 02:52:42,400 - INFO - main.py - train - 74 - 【train】 epoch：0 step:778/26861 loss：0.481733 2021-08-22 02:52:43,993 - INFO - main.py - train - 74 - 【train】 epoch：0 step:779/26861 loss：0.398291 2021-08-22 02:52:45,646 - INFO - main.py - train - 74 - 【train】 epoch：0 step:780/26861 loss：0.642861 2021-08-22 02:52:47,306 - INFO - main.py - train - 74 - 【train】 epoch：0 step:781/26861 loss：0.439381 2021-08-22 02:52:48,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:782/26861 loss：0.845572 2021-08-22 02:52:50,587 - INFO - main.py - train - 74 - 【train】 epoch：0 step:783/26861 loss：0.375486 2021-08-22 02:52:52,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:784/26861 loss：0.393518 2021-08-22 02:52:53,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:785/26861 loss：0.310942 2021-08-22 02:52:55,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:786/26861 loss：0.190178 2021-08-22 02:52:57,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:787/26861 loss：0.258348 2021-08-22 02:52:58,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:788/26861 loss：0.297272 2021-08-22 02:53:00,219 - INFO - main.py - train - 74 - 【train】 epoch：0 step:789/26861 loss：0.275288 2021-08-22 02:53:01,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:790/26861 loss：0.261974 2021-08-22 02:53:03,432 - INFO - main.py - train - 74 - 【train】 epoch：0 step:791/26861 loss：0.188497 2021-08-22 02:53:05,034 - INFO - main.py - train - 74 - 【train】 epoch：0 step:792/26861 loss：0.871866 2021-08-22 02:53:06,645 - INFO - main.py - train - 74 - 【train】 epoch：0 step:793/26861 loss：0.689450 2021-08-22 02:53:08,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:794/26861 loss：0.365488 2021-08-22 02:53:09,849 - INFO - main.py - train - 74 - 【train】 epoch：0 step:795/26861 loss：0.260370 2021-08-22 02:53:11,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:796/26861 loss：0.046111 2021-08-22 02:53:13,073 - INFO - main.py - train - 74 - 【train】 epoch：0 step:797/26861 loss：0.043959 2021-08-22 02:53:14,676 - INFO - main.py - train - 74 - 【train】 epoch：0 step:798/26861 loss：0.817789 2021-08-22 02:53:16,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:799/26861 loss：0.390534 2021-08-22 02:53:17,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:800/26861 loss：0.214853 2021-08-22 02:53:19,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:801/26861 loss：0.196884 2021-08-22 02:53:21,106 - INFO - main.py - train - 74 - 【train】 epoch：0 step:802/26861 loss：0.774059 2021-08-22 02:53:22,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:803/26861 loss：0.602351 2021-08-22 02:53:24,334 - INFO - main.py - train - 74 - 【train】 epoch：0 step:804/26861 loss：0.161825 2021-08-22 02:53:25,940 - INFO - main.py - train - 74 - 【train】 epoch：0 step:805/26861 loss：0.147220 2021-08-22 02:53:27,539 - INFO - main.py - train - 74 - 【train】 epoch：0 step:806/26861 loss：0.355742 2021-08-22 02:53:29,136 - INFO - main.py - train - 74 - 【train】 epoch：0 step:807/26861 loss：0.373368 2021-08-22 02:53:30,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:808/26861 loss：0.383443 2021-08-22 02:53:32,363 - INFO - main.py - train - 74 - 【train】 epoch：0 step:809/26861 loss：0.220749 2021-08-22 02:53:33,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:810/26861 loss：0.596947 2021-08-22 02:53:35,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:811/26861 loss：0.586410 2021-08-22 02:53:37,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:812/26861 loss：0.321481 2021-08-22 02:53:38,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:813/26861 loss：0.329080 2021-08-22 02:53:40,413 - INFO - main.py - train - 74 - 【train】 epoch：0 step:814/26861 loss：0.391304 2021-08-22 02:53:42,019 - INFO - main.py - train - 74 - 【train】 epoch：0 step:815/26861 loss：0.345968 2021-08-22 02:53:43,614 - INFO - main.py - train - 74 - 【train】 epoch：0 step:816/26861 loss：0.393945 2021-08-22 02:53:45,207 - INFO - main.py - train - 74 - 【train】 epoch：0 step:817/26861 loss：0.258964 2021-08-22 02:53:46,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:818/26861 loss：0.217262 2021-08-22 02:53:48,415 - INFO - main.py - train - 74 - 【train】 epoch：0 step:819/26861 loss：0.171737 2021-08-22 02:53:50,022 - INFO - main.py - train - 74 - 【train】 epoch：0 step:820/26861 loss：1.602039 2021-08-22 02:53:51,633 - INFO - main.py - train - 74 - 【train】 epoch：0 step:821/26861 loss：0.820825 2021-08-22 02:53:53,237 - INFO - main.py - train - 74 - 【train】 epoch：0 step:822/26861 loss：2.696308 2021-08-22 02:53:54,839 - INFO - main.py - train - 74 - 【train】 epoch：0 step:823/26861 loss：1.611802 2021-08-22 02:53:56,449 - INFO - main.py - train - 74 - 【train】 epoch：0 step:824/26861 loss：0.494429 2021-08-22 02:53:58,050 - INFO - main.py - train - 74 - 【train】 epoch：0 step:825/26861 loss：0.517974 2021-08-22 02:53:59,643 - INFO - main.py - train - 74 - 【train】 epoch：0 step:826/26861 loss：0.369935 2021-08-22 02:54:01,245 - INFO - main.py - train - 74 - 【train】 epoch：0 step:827/26861 loss：0.313283 2021-08-22 02:54:02,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:828/26861 loss：0.679320 2021-08-22 02:54:04,479 - INFO - main.py - train - 74 - 【train】 epoch：0 step:829/26861 loss：0.532992 2021-08-22 02:54:06,090 - INFO - main.py - train - 74 - 【train】 epoch：0 step:830/26861 loss：0.252334 2021-08-22 02:54:07,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:831/26861 loss：0.195868 2021-08-22 02:54:09,318 - INFO - main.py - train - 74 - 【train】 epoch：0 step:832/26861 loss：0.727449 2021-08-22 02:54:10,929 - INFO - main.py - train - 74 - 【train】 epoch：0 step:833/26861 loss：0.478966 2021-08-22 02:54:12,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:834/26861 loss：0.109985 2021-08-22 02:54:14,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:835/26861 loss：0.087318 2021-08-22 02:54:15,809 - INFO - main.py - train - 74 - 【train】 epoch：0 step:836/26861 loss：0.297865 2021-08-22 02:54:17,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:837/26861 loss：0.327616 2021-08-22 02:54:19,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:838/26861 loss：0.676459 2021-08-22 02:54:20,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:839/26861 loss：0.368503 2021-08-22 02:54:22,224 - INFO - main.py - train - 74 - 【train】 epoch：0 step:840/26861 loss：0.368591 2021-08-22 02:54:23,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:841/26861 loss：0.330999 2021-08-22 02:54:25,430 - INFO - main.py - train - 74 - 【train】 epoch：0 step:842/26861 loss：0.133654 2021-08-22 02:54:27,040 - INFO - main.py - train - 74 - 【train】 epoch：0 step:843/26861 loss：0.098671 2021-08-22 02:54:28,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:844/26861 loss：0.142977 2021-08-22 02:54:30,222 - INFO - main.py - train - 74 - 【train】 epoch：0 step:845/26861 loss：0.106258 2021-08-22 02:54:31,822 - INFO - main.py - train - 74 - 【train】 epoch：0 step:846/26861 loss：0.444620 2021-08-22 02:54:33,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:847/26861 loss：0.388323 2021-08-22 02:54:35,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:848/26861 loss：0.805325 2021-08-22 02:54:36,659 - INFO - main.py - train - 74 - 【train】 epoch：0 step:849/26861 loss：0.401315 2021-08-22 02:54:38,253 - INFO - main.py - train - 74 - 【train】 epoch：0 step:850/26861 loss：0.577353 2021-08-22 02:54:39,853 - INFO - main.py - train - 74 - 【train】 epoch：0 step:851/26861 loss：0.404229 2021-08-22 02:54:41,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:852/26861 loss：0.257542 2021-08-22 02:54:43,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:853/26861 loss：0.204507 2021-08-22 02:54:44,683 - INFO - main.py - train - 74 - 【train】 epoch：0 step:854/26861 loss：0.431048 2021-08-22 02:54:46,315 - INFO - main.py - train - 74 - 【train】 epoch：0 step:855/26861 loss：0.316094 2021-08-22 02:54:47,922 - INFO - main.py - train - 74 - 【train】 epoch：0 step:856/26861 loss：0.791610 2021-08-22 02:54:49,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:857/26861 loss：0.867539 2021-08-22 02:54:51,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:858/26861 loss：0.311964 2021-08-22 02:54:52,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:859/26861 loss：0.320413 2021-08-22 02:54:54,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:860/26861 loss：0.150439 2021-08-22 02:54:55,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:861/26861 loss：0.166901 2021-08-22 02:54:57,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:862/26861 loss：0.364194 2021-08-22 02:54:59,165 - INFO - main.py - train - 74 - 【train】 epoch：0 step:863/26861 loss：0.302941 2021-08-22 02:55:00,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:864/26861 loss：0.403631 2021-08-22 02:55:02,364 - INFO - main.py - train - 74 - 【train】 epoch：0 step:865/26861 loss：0.291935 2021-08-22 02:55:03,975 - INFO - main.py - train - 74 - 【train】 epoch：0 step:866/26861 loss：0.277855 2021-08-22 02:55:05,582 - INFO - main.py - train - 74 - 【train】 epoch：0 step:867/26861 loss：0.168119 2021-08-22 02:55:07,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:868/26861 loss：0.152576 2021-08-22 02:55:08,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:869/26861 loss：0.132794 2021-08-22 02:55:10,387 - INFO - main.py - train - 74 - 【train】 epoch：0 step:870/26861 loss：0.240757 2021-08-22 02:55:11,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:871/26861 loss：0.181118 2021-08-22 02:55:13,602 - INFO - main.py - train - 74 - 【train】 epoch：0 step:872/26861 loss：0.803287 2021-08-22 02:55:15,211 - INFO - main.py - train - 74 - 【train】 epoch：0 step:873/26861 loss：0.693315 2021-08-22 02:55:16,814 - INFO - main.py - train - 74 - 【train】 epoch：0 step:874/26861 loss：0.573667 2021-08-22 02:55:18,413 - INFO - main.py - train - 74 - 【train】 epoch：0 step:875/26861 loss：0.523541 2021-08-22 02:55:20,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:876/26861 loss：0.628876 2021-08-22 02:55:21,622 - INFO - main.py - train - 74 - 【train】 epoch：0 step:877/26861 loss：0.514124 2021-08-22 02:55:23,229 - INFO - main.py - train - 74 - 【train】 epoch：0 step:878/26861 loss：0.054474 2021-08-22 02:55:24,832 - INFO - main.py - train - 74 - 【train】 epoch：0 step:879/26861 loss：0.047903 2021-08-22 02:55:26,443 - INFO - main.py - train - 74 - 【train】 epoch：0 step:880/26861 loss：0.182333 2021-08-22 02:55:28,050 - INFO - main.py - train - 74 - 【train】 epoch：0 step:881/26861 loss：0.176445 2021-08-22 02:55:29,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:882/26861 loss：0.475653 2021-08-22 02:55:31,256 - INFO - main.py - train - 74 - 【train】 epoch：0 step:883/26861 loss：0.444867 2021-08-22 02:55:32,863 - INFO - main.py - train - 74 - 【train】 epoch：0 step:884/26861 loss：0.234319 2021-08-22 02:55:34,473 - INFO - main.py - train - 74 - 【train】 epoch：0 step:885/26861 loss：0.203569 2021-08-22 02:55:36,079 - INFO - main.py - train - 74 - 【train】 epoch：0 step:886/26861 loss：0.306309 2021-08-22 02:55:37,682 - INFO - main.py - train - 74 - 【train】 epoch：0 step:887/26861 loss：0.239211 2021-08-22 02:55:39,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:888/26861 loss：0.104001 2021-08-22 02:55:40,895 - INFO - main.py - train - 74 - 【train】 epoch：0 step:889/26861 loss：0.086694 2021-08-22 02:55:42,500 - INFO - main.py - train - 74 - 【train】 epoch：0 step:890/26861 loss：0.160552 2021-08-22 02:55:44,110 - INFO - main.py - train - 74 - 【train】 epoch：0 step:891/26861 loss：0.163718 2021-08-22 02:55:45,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:892/26861 loss：0.289005 2021-08-22 02:55:47,327 - INFO - main.py - train - 74 - 【train】 epoch：0 step:893/26861 loss：0.301705 2021-08-22 02:55:48,943 - INFO - main.py - train - 74 - 【train】 epoch：0 step:894/26861 loss：0.676310 2021-08-22 02:55:50,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:895/26861 loss：0.608107 2021-08-22 02:55:52,177 - INFO - main.py - train - 74 - 【train】 epoch：0 step:896/26861 loss：0.855191 2021-08-22 02:55:53,808 - INFO - main.py - train - 74 - 【train】 epoch：0 step:897/26861 loss：0.751777 2021-08-22 02:55:55,420 - INFO - main.py - train - 74 - 【train】 epoch：0 step:898/26861 loss：0.161583 2021-08-22 02:55:57,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:899/26861 loss：0.104673 2021-08-22 02:55:58,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:900/26861 loss：0.163756 2021-08-22 02:56:00,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:901/26861 loss：0.268315 2021-08-22 02:56:01,842 - INFO - main.py - train - 74 - 【train】 epoch：0 step:902/26861 loss：0.050132 2021-08-22 02:56:03,450 - INFO - main.py - train - 74 - 【train】 epoch：0 step:903/26861 loss：0.037555 2021-08-22 02:56:05,055 - INFO - main.py - train - 74 - 【train】 epoch：0 step:904/26861 loss：0.454142 2021-08-22 02:56:06,658 - INFO - main.py - train - 74 - 【train】 epoch：0 step:905/26861 loss：0.393000 2021-08-22 02:56:08,264 - INFO - main.py - train - 74 - 【train】 epoch：0 step:906/26861 loss：1.410094 2021-08-22 02:56:09,866 - INFO - main.py - train - 74 - 【train】 epoch：0 step:907/26861 loss：1.183314 2021-08-22 02:56:11,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:908/26861 loss：0.294365 2021-08-22 02:56:13,082 - INFO - main.py - train - 74 - 【train】 epoch：0 step:909/26861 loss：0.210888 2021-08-22 02:56:14,695 - INFO - main.py - train - 74 - 【train】 epoch：0 step:910/26861 loss：0.568348 2021-08-22 02:56:16,303 - INFO - main.py - train - 74 - 【train】 epoch：0 step:911/26861 loss：0.639233 2021-08-22 02:56:17,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:912/26861 loss：0.229713 2021-08-22 02:56:19,518 - INFO - main.py - train - 74 - 【train】 epoch：0 step:913/26861 loss：0.222532 2021-08-22 02:56:21,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:914/26861 loss：0.231305 2021-08-22 02:56:22,738 - INFO - main.py - train - 74 - 【train】 epoch：0 step:915/26861 loss：0.128089 2021-08-22 02:56:24,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:916/26861 loss：0.547870 2021-08-22 02:56:25,961 - INFO - main.py - train - 74 - 【train】 epoch：0 step:917/26861 loss：0.302885 2021-08-22 02:56:27,575 - INFO - main.py - train - 74 - 【train】 epoch：0 step:918/26861 loss：0.679620 2021-08-22 02:56:29,210 - INFO - main.py - train - 74 - 【train】 epoch：0 step:919/26861 loss：0.185365 2021-08-22 02:56:30,817 - INFO - main.py - train - 74 - 【train】 epoch：0 step:920/26861 loss：0.219646 2021-08-22 02:56:32,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:921/26861 loss：0.188200 2021-08-22 02:56:34,018 - INFO - main.py - train - 74 - 【train】 epoch：0 step:922/26861 loss：0.603123 2021-08-22 02:56:35,617 - INFO - main.py - train - 74 - 【train】 epoch：0 step:923/26861 loss：0.455423 2021-08-22 02:56:37,226 - INFO - main.py - train - 74 - 【train】 epoch：0 step:924/26861 loss：0.125177 2021-08-22 02:56:38,833 - INFO - main.py - train - 74 - 【train】 epoch：0 step:925/26861 loss：0.092244 2021-08-22 02:56:40,441 - INFO - main.py - train - 74 - 【train】 epoch：0 step:926/26861 loss：0.247517 2021-08-22 02:56:42,047 - INFO - main.py - train - 74 - 【train】 epoch：0 step:927/26861 loss：0.198292 2021-08-22 02:56:43,648 - INFO - main.py - train - 74 - 【train】 epoch：0 step:928/26861 loss：0.590838 2021-08-22 02:56:45,255 - INFO - main.py - train - 74 - 【train】 epoch：0 step:929/26861 loss：0.514018 2021-08-22 02:56:46,857 - INFO - main.py - train - 74 - 【train】 epoch：0 step:930/26861 loss：1.176334 2021-08-22 02:56:48,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:931/26861 loss：0.966967 2021-08-22 02:56:50,082 - INFO - main.py - train - 74 - 【train】 epoch：0 step:932/26861 loss：2.930809 2021-08-22 02:56:51,706 - INFO - main.py - train - 74 - 【train】 epoch：0 step:933/26861 loss：0.625792 2021-08-22 02:56:53,305 - INFO - main.py - train - 74 - 【train】 epoch：0 step:934/26861 loss：0.455646 2021-08-22 02:56:54,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:935/26861 loss：0.452706 2021-08-22 02:56:56,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:936/26861 loss：0.044003 2021-08-22 02:56:58,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:937/26861 loss：0.042314 2021-08-22 02:56:59,733 - INFO - main.py - train - 74 - 【train】 epoch：0 step:938/26861 loss：0.270537 2021-08-22 02:57:01,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:939/26861 loss：0.237778 2021-08-22 02:57:02,938 - INFO - main.py - train - 74 - 【train】 epoch：0 step:940/26861 loss：1.202050 2021-08-22 02:57:04,539 - INFO - main.py - train - 74 - 【train】 epoch：0 step:941/26861 loss：1.115294 2021-08-22 02:57:06,140 - INFO - main.py - train - 74 - 【train】 epoch：0 step:942/26861 loss：0.037492 2021-08-22 02:57:07,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:943/26861 loss：0.044704 2021-08-22 02:57:09,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:944/26861 loss：0.905300 2021-08-22 02:57:10,966 - INFO - main.py - train - 74 - 【train】 epoch：0 step:945/26861 loss：0.688187 2021-08-22 02:57:12,586 - INFO - main.py - train - 74 - 【train】 epoch：0 step:946/26861 loss：0.348107 2021-08-22 02:57:14,205 - INFO - main.py - train - 74 - 【train】 epoch：0 step:947/26861 loss：0.139746 2021-08-22 02:57:15,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:948/26861 loss：1.014807 2021-08-22 02:57:17,418 - INFO - main.py - train - 74 - 【train】 epoch：0 step:949/26861 loss：1.002885 2021-08-22 02:57:19,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:950/26861 loss：0.892029 2021-08-22 02:57:20,638 - INFO - main.py - train - 74 - 【train】 epoch：0 step:951/26861 loss：0.654297 2021-08-22 02:57:22,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:952/26861 loss：0.496706 2021-08-22 02:57:23,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:953/26861 loss：0.545374 2021-08-22 02:57:25,466 - INFO - main.py - train - 74 - 【train】 epoch：0 step:954/26861 loss：1.152603 2021-08-22 02:57:27,078 - INFO - main.py - train - 74 - 【train】 epoch：0 step:955/26861 loss：0.617160 2021-08-22 02:57:28,686 - INFO - main.py - train - 74 - 【train】 epoch：0 step:956/26861 loss：0.471446 2021-08-22 02:57:30,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:957/26861 loss：0.353230 2021-08-22 02:57:31,897 - INFO - main.py - train - 74 - 【train】 epoch：0 step:958/26861 loss：0.581379 2021-08-22 02:57:33,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:959/26861 loss：0.434382 2021-08-22 02:57:35,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:960/26861 loss：0.283673 2021-08-22 02:57:36,718 - INFO - main.py - train - 74 - 【train】 epoch：0 step:961/26861 loss：0.202214 2021-08-22 02:57:38,324 - INFO - main.py - train - 74 - 【train】 epoch：0 step:962/26861 loss：0.378582 2021-08-22 02:57:39,930 - INFO - main.py - train - 74 - 【train】 epoch：0 step:963/26861 loss：0.162809 2021-08-22 02:57:41,534 - INFO - main.py - train - 74 - 【train】 epoch：0 step:964/26861 loss：0.256730 2021-08-22 02:57:43,137 - INFO - main.py - train - 74 - 【train】 epoch：0 step:965/26861 loss：0.260363 2021-08-22 02:57:44,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:966/26861 loss：0.032335 2021-08-22 02:57:46,347 - INFO - main.py - train - 74 - 【train】 epoch：0 step:967/26861 loss：0.021403 2021-08-22 02:57:47,945 - INFO - main.py - train - 74 - 【train】 epoch：0 step:968/26861 loss：0.514664 2021-08-22 02:57:49,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:969/26861 loss：0.592558 2021-08-22 02:57:51,162 - INFO - main.py - train - 74 - 【train】 epoch：0 step:970/26861 loss：0.966999 2021-08-22 02:57:52,772 - INFO - main.py - train - 74 - 【train】 epoch：0 step:971/26861 loss：0.971229 2021-08-22 02:57:54,373 - INFO - main.py - train - 74 - 【train】 epoch：0 step:972/26861 loss：0.761834 2021-08-22 02:57:55,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:973/26861 loss：0.665966 2021-08-22 02:57:57,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:974/26861 loss：1.396360 2021-08-22 02:57:59,194 - INFO - main.py - train - 74 - 【train】 epoch：0 step:975/26861 loss：1.239157 2021-08-22 02:58:00,809 - INFO - main.py - train - 74 - 【train】 epoch：0 step:976/26861 loss：2.640208 2021-08-22 02:58:02,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:977/26861 loss：1.078162 2021-08-22 02:58:04,035 - INFO - main.py - train - 74 - 【train】 epoch：0 step:978/26861 loss：0.549075 2021-08-22 02:58:05,645 - INFO - main.py - train - 74 - 【train】 epoch：0 step:979/26861 loss：0.490347 2021-08-22 02:58:07,281 - INFO - main.py - train - 74 - 【train】 epoch：0 step:980/26861 loss：0.453314 2021-08-22 02:58:08,928 - INFO - main.py - train - 74 - 【train】 epoch：0 step:981/26861 loss：0.327676 2021-08-22 02:58:10,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:982/26861 loss：0.515911 2021-08-22 02:58:12,159 - INFO - main.py - train - 74 - 【train】 epoch：0 step:983/26861 loss：0.433254 2021-08-22 02:58:13,761 - INFO - main.py - train - 74 - 【train】 epoch：0 step:984/26861 loss：0.295079 2021-08-22 02:58:15,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:985/26861 loss：0.234207 2021-08-22 02:58:16,987 - INFO - main.py - train - 74 - 【train】 epoch：0 step:986/26861 loss：0.113292 2021-08-22 02:58:18,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:987/26861 loss：0.072671 2021-08-22 02:58:20,206 - INFO - main.py - train - 74 - 【train】 epoch：0 step:988/26861 loss：0.160481 2021-08-22 02:58:21,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:989/26861 loss：0.085772 2021-08-22 02:58:23,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:990/26861 loss：0.764530 2021-08-22 02:58:25,015 - INFO - main.py - train - 74 - 【train】 epoch：0 step:991/26861 loss：0.800707 2021-08-22 02:58:26,621 - INFO - main.py - train - 74 - 【train】 epoch：0 step:992/26861 loss：1.483699 2021-08-22 02:58:28,233 - INFO - main.py - train - 74 - 【train】 epoch：0 step:993/26861 loss：1.078941 2021-08-22 02:58:29,840 - INFO - main.py - train - 74 - 【train】 epoch：0 step:994/26861 loss：0.378149 2021-08-22 02:58:31,448 - INFO - main.py - train - 74 - 【train】 epoch：0 step:995/26861 loss：0.382207 2021-08-22 02:58:33,052 - INFO - main.py - train - 74 - 【train】 epoch：0 step:996/26861 loss：0.592865 2021-08-22 02:58:34,656 - INFO - main.py - train - 74 - 【train】 epoch：0 step:997/26861 loss：0.446533 2021-08-22 02:58:36,265 - INFO - main.py - train - 74 - 【train】 epoch：0 step:998/26861 loss：0.602651 2021-08-22 02:58:37,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:999/26861 loss：0.492335 2021-08-22 02:58:39,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1000/26861 loss：0.133515 2021-08-22 02:58:41,076 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1001/26861 loss：0.140149 2021-08-22 02:58:42,683 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1002/26861 loss：0.203334 2021-08-22 02:58:44,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1003/26861 loss：0.204704 2021-08-22 02:58:45,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1004/26861 loss：0.782752 2021-08-22 02:58:47,499 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1005/26861 loss：0.493453 2021-08-22 02:58:49,109 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1006/26861 loss：0.471954 2021-08-22 02:58:50,710 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1007/26861 loss：0.255721 2021-08-22 02:58:52,323 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1008/26861 loss：1.048363 2021-08-22 02:58:53,931 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1009/26861 loss：0.987039 2021-08-22 02:58:55,536 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1010/26861 loss：0.272265 2021-08-22 02:58:57,143 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1011/26861 loss：0.272421 2021-08-22 02:58:58,737 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1012/26861 loss：0.179070 2021-08-22 02:59:00,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1013/26861 loss：0.166208 2021-08-22 02:59:01,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1014/26861 loss：0.454974 2021-08-22 02:59:03,549 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1015/26861 loss：0.314403 2021-08-22 02:59:05,135 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1016/26861 loss：0.069637 2021-08-22 02:59:06,740 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1017/26861 loss：0.072414 2021-08-22 02:59:08,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1018/26861 loss：0.290503 2021-08-22 02:59:09,953 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1019/26861 loss：0.161773 2021-08-22 02:59:11,550 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1020/26861 loss：0.096262 2021-08-22 02:59:13,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1021/26861 loss：0.071823 2021-08-22 02:59:14,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1022/26861 loss：0.250499 2021-08-22 02:59:16,361 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1023/26861 loss：0.271142 2021-08-22 02:59:17,966 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1024/26861 loss：0.305660 2021-08-22 02:59:19,567 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1025/26861 loss：0.265828 2021-08-22 02:59:21,174 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1026/26861 loss：0.100476 2021-08-22 02:59:22,778 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1027/26861 loss：0.148472 2021-08-22 02:59:24,376 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1028/26861 loss：0.241489 2021-08-22 02:59:25,971 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1029/26861 loss：0.243561 2021-08-22 02:59:27,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1030/26861 loss：0.158801 2021-08-22 02:59:29,173 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1031/26861 loss：0.113944 2021-08-22 02:59:30,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1032/26861 loss：0.850075 2021-08-22 02:59:32,380 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1033/26861 loss：0.702691 2021-08-22 02:59:33,996 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1034/26861 loss：0.699042 2021-08-22 02:59:35,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1035/26861 loss：0.450194 2021-08-22 02:59:37,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1036/26861 loss：0.139687 2021-08-22 02:59:38,837 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1037/26861 loss：0.184888 2021-08-22 02:59:40,447 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1038/26861 loss：0.270526 2021-08-22 02:59:42,048 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1039/26861 loss：0.193625 2021-08-22 02:59:43,646 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1040/26861 loss：0.061776 2021-08-22 02:59:45,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1041/26861 loss：0.061793 2021-08-22 02:59:46,844 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1042/26861 loss：0.028948 2021-08-22 02:59:48,450 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1043/26861 loss：0.017540 2021-08-22 02:59:50,058 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1044/26861 loss：0.093057 2021-08-22 02:59:51,666 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1045/26861 loss：0.052285 2021-08-22 02:59:53,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1046/26861 loss：0.158752 2021-08-22 02:59:54,884 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1047/26861 loss：0.097101 2021-08-22 02:59:56,486 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1048/26861 loss：0.991485 2021-08-22 02:59:58,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1049/26861 loss：0.557611 2021-08-22 02:59:59,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1050/26861 loss：0.086721 2021-08-22 03:00:01,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1051/26861 loss：0.097454 2021-08-22 03:00:02,904 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1052/26861 loss：0.080142 2021-08-22 03:00:04,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1053/26861 loss：0.097213 2021-08-22 03:00:06,127 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1054/26861 loss：0.542431 2021-08-22 03:00:07,729 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1055/26861 loss：0.413555 2021-08-22 03:00:09,341 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1056/26861 loss：0.633097 2021-08-22 03:00:10,947 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1057/26861 loss：0.405039 2021-08-22 03:00:12,550 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1058/26861 loss：0.275146 2021-08-22 03:00:14,157 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1059/26861 loss：0.205253 2021-08-22 03:00:15,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1060/26861 loss：0.313664 2021-08-22 03:00:17,377 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1061/26861 loss：0.262234 2021-08-22 03:00:18,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1062/26861 loss：0.114314 2021-08-22 03:00:20,599 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1063/26861 loss：0.049645 2021-08-22 03:00:22,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1064/26861 loss：0.361498 2021-08-22 03:00:23,799 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1065/26861 loss：0.271095 2021-08-22 03:00:25,402 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1066/26861 loss：0.160043 2021-08-22 03:00:27,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1067/26861 loss：0.158033 2021-08-22 03:00:28,615 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1068/26861 loss：0.180094 2021-08-22 03:00:30,220 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1069/26861 loss：0.194229 2021-08-22 03:00:31,828 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1070/26861 loss：0.308380 2021-08-22 03:00:33,437 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1071/26861 loss：0.272006 2021-08-22 03:00:35,042 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1072/26861 loss：0.090622 2021-08-22 03:00:36,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1073/26861 loss：0.246579 2021-08-22 03:00:38,271 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1074/26861 loss：0.083516 2021-08-22 03:00:39,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1075/26861 loss：0.069594 2021-08-22 03:00:41,502 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1076/26861 loss：0.393790 2021-08-22 03:00:43,112 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1077/26861 loss：0.318747 2021-08-22 03:00:44,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1078/26861 loss：0.749129 2021-08-22 03:00:46,325 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1079/26861 loss：0.408358 2021-08-22 03:00:47,956 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1080/26861 loss：0.100740 2021-08-22 03:00:49,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1081/26861 loss：0.084859 2021-08-22 03:00:51,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1082/26861 loss：0.029050 2021-08-22 03:00:52,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1083/26861 loss：0.029053 2021-08-22 03:00:54,414 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1084/26861 loss：0.060486 2021-08-22 03:00:56,024 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1085/26861 loss：0.044880 2021-08-22 03:00:57,627 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1086/26861 loss：0.053494 2021-08-22 03:00:59,239 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1087/26861 loss：0.043952 2021-08-22 03:01:00,848 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1088/26861 loss：0.276245 2021-08-22 03:01:02,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1089/26861 loss：0.198558 2021-08-22 03:01:04,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1090/26861 loss：0.485045 2021-08-22 03:01:05,667 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1091/26861 loss：0.296051 2021-08-22 03:01:07,292 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1092/26861 loss：0.452761 2021-08-22 03:01:08,912 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1093/26861 loss：0.365134 2021-08-22 03:01:10,517 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1094/26861 loss：0.840367 2021-08-22 03:01:12,124 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1095/26861 loss：0.739207 2021-08-22 03:01:13,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1096/26861 loss：1.528079 2021-08-22 03:01:15,348 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1097/26861 loss：1.252315 2021-08-22 03:01:16,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1098/26861 loss：0.338692 2021-08-22 03:01:18,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1099/26861 loss：0.053887 2021-08-22 03:01:20,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1100/26861 loss：0.422844 2021-08-22 03:01:21,821 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1101/26861 loss：0.278107 2021-08-22 03:01:23,434 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1102/26861 loss：0.889290 2021-08-22 03:01:25,043 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1103/26861 loss：0.354646 2021-08-22 03:01:26,637 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1104/26861 loss：0.542679 2021-08-22 03:01:28,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1105/26861 loss：0.448701 2021-08-22 03:01:29,857 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1106/26861 loss：0.135512 2021-08-22 03:01:31,469 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1107/26861 loss：0.103832 2021-08-22 03:01:33,066 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1108/26861 loss：0.613782 2021-08-22 03:01:34,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1109/26861 loss：0.430050 2021-08-22 03:01:36,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1110/26861 loss：0.183521 2021-08-22 03:01:37,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1111/26861 loss：0.191684 2021-08-22 03:01:39,491 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1112/26861 loss：0.153775 2021-08-22 03:01:41,100 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1113/26861 loss：0.136817 2021-08-22 03:01:42,706 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1114/26861 loss：0.222466 2021-08-22 03:01:44,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1115/26861 loss：0.200255 2021-08-22 03:01:45,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1116/26861 loss：0.301007 2021-08-22 03:01:47,562 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1117/26861 loss：0.276580 2021-08-22 03:01:49,200 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1118/26861 loss：0.045217 2021-08-22 03:01:50,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1119/26861 loss：0.031393 2021-08-22 03:01:52,453 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1120/26861 loss：0.547252 2021-08-22 03:01:54,073 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1121/26861 loss：0.406997 2021-08-22 03:01:55,676 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1122/26861 loss：0.540876 2021-08-22 03:01:57,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1123/26861 loss：0.290900 2021-08-22 03:01:58,875 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1124/26861 loss：0.394211 2021-08-22 03:02:00,481 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1125/26861 loss：0.126154 2021-08-22 03:02:02,088 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1126/26861 loss：0.166245 2021-08-22 03:02:03,695 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1127/26861 loss：0.167775 2021-08-22 03:02:05,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1128/26861 loss：1.153667 2021-08-22 03:02:06,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1129/26861 loss：0.548558 2021-08-22 03:02:08,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1130/26861 loss：1.761499 2021-08-22 03:02:10,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1131/26861 loss：0.442632 2021-08-22 03:02:11,757 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1132/26861 loss：0.217036 2021-08-22 03:02:13,371 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1133/26861 loss：0.249482 2021-08-22 03:02:14,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1134/26861 loss：0.623709 2021-08-22 03:02:16,595 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1135/26861 loss：0.470309 2021-08-22 03:02:18,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1136/26861 loss：0.627613 2021-08-22 03:02:19,813 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1137/26861 loss：0.295666 2021-08-22 03:02:21,421 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1138/26861 loss：0.171865 2021-08-22 03:02:23,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1139/26861 loss：0.184538 2021-08-22 03:02:24,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1140/26861 loss：1.121164 2021-08-22 03:02:26,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1141/26861 loss：0.518893 2021-08-22 03:02:27,895 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1142/26861 loss：1.119931 2021-08-22 03:02:29,492 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1143/26861 loss：0.970988 2021-08-22 03:02:31,100 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1144/26861 loss：0.062922 2021-08-22 03:02:32,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1145/26861 loss：0.052944 2021-08-22 03:02:34,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1146/26861 loss：1.433018 2021-08-22 03:02:35,962 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1147/26861 loss：1.333806 2021-08-22 03:02:37,604 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1148/26861 loss：1.355392 2021-08-22 03:02:39,245 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1149/26861 loss：1.284657 2021-08-22 03:02:40,898 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1150/26861 loss：0.164990 2021-08-22 03:02:42,558 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1151/26861 loss：0.051606 2021-08-22 03:02:44,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1152/26861 loss：0.159613 2021-08-22 03:02:45,808 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1153/26861 loss：0.150566 2021-08-22 03:02:47,424 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1154/26861 loss：0.169688 2021-08-22 03:02:49,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1155/26861 loss：0.111616 2021-08-22 03:02:50,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1156/26861 loss：0.265862 2021-08-22 03:02:52,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1157/26861 loss：0.376450 2021-08-22 03:02:53,847 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1158/26861 loss：0.353598 2021-08-22 03:02:55,451 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1159/26861 loss：0.354245 2021-08-22 03:02:57,046 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1160/26861 loss：1.898315 2021-08-22 03:02:58,647 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1161/26861 loss：1.346935 2021-08-22 03:03:00,255 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1162/26861 loss：0.080206 2021-08-22 03:03:01,862 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1163/26861 loss：0.068677 2021-08-22 03:03:03,478 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1164/26861 loss：0.020976 2021-08-22 03:03:05,087 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1165/26861 loss：0.021768 2021-08-22 03:03:06,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1166/26861 loss：0.659006 2021-08-22 03:03:08,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1167/26861 loss：0.329802 2021-08-22 03:03:09,905 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1168/26861 loss：0.553373 2021-08-22 03:03:11,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1169/26861 loss：0.477171 2021-08-22 03:03:13,109 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1170/26861 loss：0.077077 2021-08-22 03:03:14,711 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1171/26861 loss：0.050322 2021-08-22 03:03:16,322 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1172/26861 loss：0.565961 2021-08-22 03:03:17,933 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1173/26861 loss：0.493769 2021-08-22 03:03:19,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1174/26861 loss：0.744269 2021-08-22 03:03:21,159 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1175/26861 loss：0.546979 2021-08-22 03:03:22,764 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1176/26861 loss：1.159934 2021-08-22 03:03:24,373 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1177/26861 loss：1.316949 2021-08-22 03:03:25,978 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1178/26861 loss：1.387001 2021-08-22 03:03:27,582 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1179/26861 loss：1.313089 2021-08-22 03:03:29,189 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1180/26861 loss：0.525808 2021-08-22 03:03:30,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1181/26861 loss：0.472597 2021-08-22 03:03:32,393 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1182/26861 loss：0.414801 2021-08-22 03:03:34,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1183/26861 loss：0.312114 2021-08-22 03:03:35,607 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1184/26861 loss：0.489324 2021-08-22 03:03:37,213 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1185/26861 loss：0.328732 2021-08-22 03:03:38,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1186/26861 loss：0.349987 2021-08-22 03:03:40,435 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1187/26861 loss：0.347984 2021-08-22 03:03:42,043 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1188/26861 loss：0.546567 2021-08-22 03:03:43,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1189/26861 loss：0.369345 2021-08-22 03:03:45,247 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1190/26861 loss：0.174865 2021-08-22 03:03:46,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1191/26861 loss：0.216841 2021-08-22 03:03:48,459 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1192/26861 loss：0.513445 2021-08-22 03:03:50,073 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1193/26861 loss：0.300893 2021-08-22 03:03:51,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1194/26861 loss：0.785294 2021-08-22 03:03:53,297 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1195/26861 loss：0.455608 2021-08-22 03:03:54,920 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1196/26861 loss：1.175038 2021-08-22 03:03:56,545 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1197/26861 loss：0.550681 2021-08-22 03:03:58,153 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1198/26861 loss：0.199949 2021-08-22 03:03:59,759 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1199/26861 loss：0.136625 2021-08-22 03:04:01,363 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1200/26861 loss：0.680060 2021-08-22 03:04:02,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1201/26861 loss：0.547338 2021-08-22 03:04:04,581 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1202/26861 loss：0.404037 2021-08-22 03:04:06,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1203/26861 loss：0.344021 2021-08-22 03:04:07,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1204/26861 loss：0.665636 2021-08-22 03:04:09,405 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1205/26861 loss：0.631209 2021-08-22 03:04:11,038 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1206/26861 loss：0.550598 2021-08-22 03:04:12,683 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1207/26861 loss：0.146423 2021-08-22 03:04:14,295 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1208/26861 loss：0.040316 2021-08-22 03:04:15,910 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1209/26861 loss：0.037991 2021-08-22 03:04:17,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1210/26861 loss：0.520820 2021-08-22 03:04:19,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1211/26861 loss：0.337077 2021-08-22 03:04:20,730 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1212/26861 loss：0.877585 2021-08-22 03:04:22,334 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1213/26861 loss：0.812926 2021-08-22 03:04:23,951 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1214/26861 loss：1.504674 2021-08-22 03:04:25,568 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1215/26861 loss：0.765947 2021-08-22 03:04:27,173 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1216/26861 loss：0.551988 2021-08-22 03:04:28,777 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1217/26861 loss：0.539284 2021-08-22 03:04:30,402 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1218/26861 loss：2.548550 2021-08-22 03:04:32,019 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1219/26861 loss：1.749762 2021-08-22 03:04:33,620 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1220/26861 loss：0.135443 2021-08-22 03:04:35,221 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1221/26861 loss：0.155464 2021-08-22 03:04:36,819 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1222/26861 loss：0.369693 2021-08-22 03:04:38,424 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1223/26861 loss：0.236453 2021-08-22 03:04:40,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1224/26861 loss：0.258147 2021-08-22 03:04:41,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1225/26861 loss：0.349066 2021-08-22 03:04:43,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1226/26861 loss：0.230420 2021-08-22 03:04:44,860 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1227/26861 loss：0.146037 2021-08-22 03:04:46,465 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1228/26861 loss：0.062888 2021-08-22 03:04:48,072 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1229/26861 loss：0.078137 2021-08-22 03:04:49,673 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1230/26861 loss：0.329688 2021-08-22 03:04:51,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1231/26861 loss：0.310197 2021-08-22 03:04:52,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1232/26861 loss：0.511606 2021-08-22 03:04:54,486 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1233/26861 loss：0.204803 2021-08-22 03:04:56,103 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1234/26861 loss：0.383097 2021-08-22 03:04:57,712 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1235/26861 loss：0.183761 2021-08-22 03:04:59,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1236/26861 loss：0.679373 2021-08-22 03:05:00,910 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1237/26861 loss：0.763048 2021-08-22 03:05:02,512 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1238/26861 loss：0.135435 2021-08-22 03:05:04,126 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1239/26861 loss：0.089548 2021-08-22 03:05:05,735 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1240/26861 loss：0.039286 2021-08-22 03:05:07,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1241/26861 loss：0.034715 2021-08-22 03:05:08,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1242/26861 loss：0.112537 2021-08-22 03:05:10,545 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1243/26861 loss：0.113142 2021-08-22 03:05:12,173 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1244/26861 loss：0.038382 2021-08-22 03:05:13,799 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1245/26861 loss：0.031469 2021-08-22 03:05:15,413 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1246/26861 loss：0.056153 2021-08-22 03:05:17,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1247/26861 loss：0.066122 2021-08-22 03:05:18,629 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1248/26861 loss：0.311525 2021-08-22 03:05:20,236 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1249/26861 loss：0.356124 2021-08-22 03:05:21,853 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1250/26861 loss：0.399913 2021-08-22 03:05:23,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1251/26861 loss：0.354121 2021-08-22 03:05:25,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1252/26861 loss：0.663114 2021-08-22 03:05:26,671 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1253/26861 loss：0.538347 2021-08-22 03:05:28,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1254/26861 loss：0.804084 2021-08-22 03:05:29,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1255/26861 loss：0.849011 2021-08-22 03:05:31,498 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1256/26861 loss：0.337360 2021-08-22 03:05:33,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1257/26861 loss：0.134378 2021-08-22 03:05:34,708 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1258/26861 loss：0.134483 2021-08-22 03:05:36,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1259/26861 loss：0.124667 2021-08-22 03:05:37,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1260/26861 loss：0.932565 2021-08-22 03:05:39,526 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1261/26861 loss：0.179736 2021-08-22 03:05:41,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1262/26861 loss：0.542663 2021-08-22 03:05:42,733 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1263/26861 loss：0.554633 2021-08-22 03:05:44,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1264/26861 loss：0.702613 2021-08-22 03:05:45,951 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1265/26861 loss：0.532899 2021-08-22 03:05:47,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1266/26861 loss：1.005469 2021-08-22 03:05:49,154 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1267/26861 loss：1.007573 2021-08-22 03:05:50,755 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1268/26861 loss：0.134047 2021-08-22 03:05:52,357 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1269/26861 loss：0.097600 2021-08-22 03:05:53,968 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1270/26861 loss：0.328845 2021-08-22 03:05:55,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1271/26861 loss：0.275904 2021-08-22 03:05:57,184 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1272/26861 loss：0.254617 2021-08-22 03:05:58,786 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1273/26861 loss：0.294984 2021-08-22 03:06:00,397 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1274/26861 loss：0.235622 2021-08-22 03:06:02,000 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1275/26861 loss：0.231353 2021-08-22 03:06:03,604 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1276/26861 loss：0.361896 2021-08-22 03:06:05,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1277/26861 loss：0.204789 2021-08-22 03:06:06,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1278/26861 loss：0.573076 2021-08-22 03:06:08,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1279/26861 loss：0.554020 2021-08-22 03:06:10,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1280/26861 loss：0.089559 2021-08-22 03:06:11,693 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1281/26861 loss：0.049535 2021-08-22 03:06:13,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1282/26861 loss：0.072880 2021-08-22 03:06:14,914 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1283/26861 loss：0.137038 2021-08-22 03:06:16,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1284/26861 loss：0.340805 2021-08-22 03:06:18,126 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1285/26861 loss：0.400338 2021-08-22 03:06:19,724 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1286/26861 loss：0.029871 2021-08-22 03:06:21,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1287/26861 loss：0.051097 2021-08-22 03:06:22,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1288/26861 loss：0.372282 2021-08-22 03:06:24,544 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1289/26861 loss：0.328850 2021-08-22 03:06:26,148 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1290/26861 loss：0.255129 2021-08-22 03:06:27,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1291/26861 loss：0.250792 2021-08-22 03:06:29,364 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1292/26861 loss：0.053504 2021-08-22 03:06:30,975 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1293/26861 loss：0.071787 2021-08-22 03:06:32,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1294/26861 loss：0.090521 2021-08-22 03:06:34,195 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1295/26861 loss：0.062920 2021-08-22 03:06:35,806 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1296/26861 loss：1.297586 2021-08-22 03:06:37,415 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1297/26861 loss：0.416809 2021-08-22 03:06:39,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1298/26861 loss：0.660540 2021-08-22 03:06:40,653 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1299/26861 loss：0.304469 2021-08-22 03:06:42,270 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1300/26861 loss：0.540209 2021-08-22 03:06:43,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1301/26861 loss：0.330932 2021-08-22 03:06:45,489 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1302/26861 loss：0.357365 2021-08-22 03:06:47,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1303/26861 loss：0.314728 2021-08-22 03:06:48,696 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1304/26861 loss：0.424975 2021-08-22 03:06:50,300 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1305/26861 loss：0.314153 2021-08-22 03:06:51,921 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1306/26861 loss：1.132221 2021-08-22 03:06:53,537 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1307/26861 loss：0.214768 2021-08-22 03:06:55,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1308/26861 loss：0.140607 2021-08-22 03:06:56,747 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1309/26861 loss：0.117178 2021-08-22 03:06:58,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1310/26861 loss：0.199553 2021-08-22 03:06:59,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1311/26861 loss：0.170088 2021-08-22 03:07:01,550 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1312/26861 loss：0.311636 2021-08-22 03:07:03,151 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1313/26861 loss：0.183999 2021-08-22 03:07:04,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1314/26861 loss：0.330881 2021-08-22 03:07:06,390 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1315/26861 loss：0.386374 2021-08-22 03:07:07,990 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1316/26861 loss：0.202376 2021-08-22 03:07:09,590 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1317/26861 loss：0.181032 2021-08-22 03:07:11,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1318/26861 loss：0.052482 2021-08-22 03:07:12,791 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1319/26861 loss：0.066392 2021-08-22 03:07:14,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1320/26861 loss：0.361095 2021-08-22 03:07:15,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1321/26861 loss：0.219997 2021-08-22 03:07:17,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1322/26861 loss：0.950721 2021-08-22 03:07:19,201 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1323/26861 loss：0.292119 2021-08-22 03:07:20,816 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1324/26861 loss：0.481489 2021-08-22 03:07:22,424 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1325/26861 loss：0.131614 2021-08-22 03:07:24,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1326/26861 loss：0.333936 2021-08-22 03:07:25,633 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1327/26861 loss：0.243388 2021-08-22 03:07:27,245 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1328/26861 loss：0.041545 2021-08-22 03:07:28,843 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1329/26861 loss：0.044572 2021-08-22 03:07:30,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1330/26861 loss：0.082857 2021-08-22 03:07:32,055 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1331/26861 loss：0.075854 2021-08-22 03:07:33,661 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1332/26861 loss：0.288321 2021-08-22 03:07:35,257 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1333/26861 loss：0.133233 2021-08-22 03:07:36,868 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1334/26861 loss：0.019335 2021-08-22 03:07:38,477 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1335/26861 loss：0.013503 2021-08-22 03:07:40,099 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1336/26861 loss：0.102735 2021-08-22 03:07:41,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1337/26861 loss：0.095739 2021-08-22 03:07:43,313 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1338/26861 loss：0.318918 2021-08-22 03:07:44,919 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1339/26861 loss：0.254196 2021-08-22 03:07:46,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1340/26861 loss：0.006300 2021-08-22 03:07:48,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1341/26861 loss：0.007262 2021-08-22 03:07:49,724 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1342/26861 loss：0.564992 2021-08-22 03:07:51,336 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1343/26861 loss：0.249125 2021-08-22 03:07:52,945 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1344/26861 loss：0.981594 2021-08-22 03:07:54,552 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1345/26861 loss：0.796360 2021-08-22 03:07:56,162 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1346/26861 loss：0.181197 2021-08-22 03:07:57,771 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1347/26861 loss：0.137450 2021-08-22 03:07:59,367 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1348/26861 loss：0.124011 2021-08-22 03:08:00,973 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1349/26861 loss：0.022415 2021-08-22 03:08:02,574 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1350/26861 loss：0.744910 2021-08-22 03:08:04,181 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1351/26861 loss：0.800192 2021-08-22 03:08:05,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1352/26861 loss：0.187832 2021-08-22 03:08:07,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1353/26861 loss：0.136798 2021-08-22 03:08:09,038 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1354/26861 loss：0.247258 2021-08-22 03:08:10,655 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1355/26861 loss：0.218599 2021-08-22 03:08:12,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1356/26861 loss：0.876319 2021-08-22 03:08:13,884 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1357/26861 loss：0.574674 2021-08-22 03:08:15,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1358/26861 loss：0.528694 2021-08-22 03:08:17,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1359/26861 loss：0.352239 2021-08-22 03:08:18,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1360/26861 loss：0.966133 2021-08-22 03:08:20,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1361/26861 loss：0.504082 2021-08-22 03:08:21,921 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1362/26861 loss：0.126317 2021-08-22 03:08:23,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1363/26861 loss：0.094097 2021-08-22 03:08:25,142 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1364/26861 loss：0.170759 2021-08-22 03:08:26,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1365/26861 loss：0.191606 2021-08-22 03:08:28,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1366/26861 loss：0.097311 2021-08-22 03:08:29,960 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1367/26861 loss：0.092679 2021-08-22 03:08:31,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1368/26861 loss：0.342218 2021-08-22 03:08:33,175 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1369/26861 loss：0.253225 2021-08-22 03:08:34,776 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1370/26861 loss：0.266716 2021-08-22 03:08:36,377 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1371/26861 loss：0.095720 2021-08-22 03:08:37,978 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1372/26861 loss：1.040883 2021-08-22 03:08:39,582 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1373/26861 loss：0.882489 2021-08-22 03:08:41,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1374/26861 loss：0.063198 2021-08-22 03:08:42,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1375/26861 loss：0.075901 2021-08-22 03:08:44,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1376/26861 loss：0.083547 2021-08-22 03:08:46,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1377/26861 loss：0.082523 2021-08-22 03:08:47,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1378/26861 loss：0.420034 2021-08-22 03:08:49,236 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1379/26861 loss：0.315153 2021-08-22 03:08:50,841 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1380/26861 loss：0.450833 2021-08-22 03:08:52,448 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1381/26861 loss：0.282481 2021-08-22 03:08:54,056 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1382/26861 loss：0.252156 2021-08-22 03:08:55,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1383/26861 loss：0.222728 2021-08-22 03:08:57,263 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1384/26861 loss：0.392054 2021-08-22 03:08:58,864 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1385/26861 loss：0.458923 2021-08-22 03:09:00,466 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1386/26861 loss：0.619725 2021-08-22 03:09:02,073 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1387/26861 loss：0.451731 2021-08-22 03:09:03,676 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1388/26861 loss：1.224325 2021-08-22 03:09:05,287 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1389/26861 loss：1.377827 2021-08-22 03:09:06,896 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1390/26861 loss：0.286577 2021-08-22 03:09:08,512 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1391/26861 loss：0.210581 2021-08-22 03:09:10,118 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1392/26861 loss：0.034293 2021-08-22 03:09:11,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1393/26861 loss：0.031527 2021-08-22 03:09:13,331 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1394/26861 loss：0.110571 2021-08-22 03:09:14,934 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1395/26861 loss：0.158282 2021-08-22 03:09:16,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1396/26861 loss：0.035323 2021-08-22 03:09:18,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1397/26861 loss：0.031868 2021-08-22 03:09:19,761 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1398/26861 loss：0.476439 2021-08-22 03:09:21,371 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1399/26861 loss：0.383589 2021-08-22 03:09:22,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1400/26861 loss：0.460091 2021-08-22 03:09:24,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1401/26861 loss：0.075351 2021-08-22 03:09:26,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1402/26861 loss：0.384400 2021-08-22 03:09:27,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1403/26861 loss：0.285292 2021-08-22 03:09:29,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1404/26861 loss：1.421180 2021-08-22 03:09:31,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1405/26861 loss：0.817622 2021-08-22 03:09:32,607 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1406/26861 loss：0.032240 2021-08-22 03:09:34,209 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1407/26861 loss：0.047134 2021-08-22 03:09:35,819 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1408/26861 loss：0.026658 2021-08-22 03:09:37,432 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1409/26861 loss：0.026435 2021-08-22 03:09:39,063 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1410/26861 loss：0.010275 2021-08-22 03:09:40,707 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1411/26861 loss：0.010699 2021-08-22 03:09:42,322 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1412/26861 loss：0.315809 2021-08-22 03:09:43,926 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1413/26861 loss：0.209028 2021-08-22 03:09:45,542 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1414/26861 loss：0.713562 2021-08-22 03:09:47,155 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1415/26861 loss：0.319664 2021-08-22 03:09:48,766 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1416/26861 loss：0.181039 2021-08-22 03:09:50,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1417/26861 loss：0.203056 2021-08-22 03:09:51,992 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1418/26861 loss：0.171721 2021-08-22 03:09:53,603 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1419/26861 loss：0.153734 2021-08-22 03:09:55,201 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1420/26861 loss：1.046151 2021-08-22 03:09:56,806 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1421/26861 loss：0.852479 2021-08-22 03:09:58,414 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1422/26861 loss：0.188379 2021-08-22 03:10:00,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1423/26861 loss：0.178792 2021-08-22 03:10:01,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1424/26861 loss：0.404722 2021-08-22 03:10:03,231 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1425/26861 loss：0.269579 2021-08-22 03:10:04,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1426/26861 loss：0.118456 2021-08-22 03:10:06,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1427/26861 loss：0.100297 2021-08-22 03:10:08,039 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1428/26861 loss：0.760993 2021-08-22 03:10:09,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1429/26861 loss：0.630988 2021-08-22 03:10:11,245 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1430/26861 loss：0.317168 2021-08-22 03:10:12,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1431/26861 loss：0.234580 2021-08-22 03:10:14,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1432/26861 loss：0.265118 2021-08-22 03:10:16,076 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1433/26861 loss：0.213639 2021-08-22 03:10:17,697 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1434/26861 loss：0.171591 2021-08-22 03:10:19,310 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1435/26861 loss：0.158495 2021-08-22 03:10:20,906 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1436/26861 loss：0.018456 2021-08-22 03:10:22,496 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1437/26861 loss：0.022117 2021-08-22 03:10:24,111 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1438/26861 loss：0.040143 2021-08-22 03:10:25,721 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1439/26861 loss：0.049089 2021-08-22 03:10:27,329 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1440/26861 loss：0.023645 2021-08-22 03:10:28,934 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1441/26861 loss：0.019215 2021-08-22 03:10:30,540 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1442/26861 loss：0.391510 2021-08-22 03:10:32,141 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1443/26861 loss：0.338939 2021-08-22 03:10:33,750 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1444/26861 loss：0.444320 2021-08-22 03:10:35,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1445/26861 loss：0.362097 2021-08-22 03:10:36,975 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1446/26861 loss：0.703612 2021-08-22 03:10:38,591 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1447/26861 loss：0.436589 2021-08-22 03:10:40,194 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1448/26861 loss：0.235092 2021-08-22 03:10:41,794 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1449/26861 loss：0.203310 2021-08-22 03:10:43,384 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1450/26861 loss：0.069694 2021-08-22 03:10:44,990 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1451/26861 loss：0.064263 2021-08-22 03:10:46,595 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1452/26861 loss：0.125071 2021-08-22 03:10:48,200 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1453/26861 loss：0.145104 2021-08-22 03:10:49,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1454/26861 loss：0.435030 2021-08-22 03:10:51,420 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1455/26861 loss：0.324648 2021-08-22 03:10:53,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1456/26861 loss：0.385900 2021-08-22 03:10:54,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1457/26861 loss：0.320012 2021-08-22 03:10:56,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1458/26861 loss：0.228210 2021-08-22 03:10:57,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1459/26861 loss：0.185976 2021-08-22 03:10:59,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1460/26861 loss：1.052181 2021-08-22 03:11:01,066 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1461/26861 loss：0.744485 2021-08-22 03:11:02,671 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1462/26861 loss：0.449682 2021-08-22 03:11:04,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1463/26861 loss：0.436722 2021-08-22 03:11:05,884 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1464/26861 loss：0.614791 2021-08-22 03:11:07,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1465/26861 loss：0.498176 2021-08-22 03:11:09,092 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1466/26861 loss：0.307868 2021-08-22 03:11:10,694 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1467/26861 loss：0.207701 2021-08-22 03:11:12,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1468/26861 loss：0.435225 2021-08-22 03:11:13,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1469/26861 loss：0.193754 2021-08-22 03:11:15,501 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1470/26861 loss：0.118282 2021-08-22 03:11:17,109 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1471/26861 loss：0.082328 2021-08-22 03:11:18,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1472/26861 loss：0.225442 2021-08-22 03:11:20,324 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1473/26861 loss：0.333423 2021-08-22 03:11:21,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1474/26861 loss：0.372303 2021-08-22 03:11:23,540 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1475/26861 loss：0.161235 2021-08-22 03:11:25,148 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1476/26861 loss：0.196205 2021-08-22 03:11:26,752 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1477/26861 loss：0.109070 2021-08-22 03:11:28,357 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1478/26861 loss：0.073878 2021-08-22 03:11:29,969 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1479/26861 loss：0.077408 2021-08-22 03:11:31,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1480/26861 loss：0.384233 2021-08-22 03:11:33,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1481/26861 loss：0.420021 2021-08-22 03:11:34,804 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1482/26861 loss：0.046235 2021-08-22 03:11:36,414 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1483/26861 loss：0.032068 2021-08-22 03:11:38,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1484/26861 loss：0.011890 2021-08-22 03:11:39,712 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1485/26861 loss：0.011943 2021-08-22 03:11:41,313 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1486/26861 loss：0.278890 2021-08-22 03:11:42,922 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1487/26861 loss：0.188797 2021-08-22 03:11:44,525 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1488/26861 loss：0.237788 2021-08-22 03:11:46,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1489/26861 loss：0.169105 2021-08-22 03:11:47,750 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1490/26861 loss：0.101649 2021-08-22 03:11:49,368 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1491/26861 loss：0.105675 2021-08-22 03:11:51,001 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1492/26861 loss：0.143354 2021-08-22 03:11:52,647 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1493/26861 loss：0.069463 2021-08-22 03:11:54,285 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1494/26861 loss：0.441925 2021-08-22 03:11:55,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1495/26861 loss：0.367290 2021-08-22 03:11:57,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1496/26861 loss：0.418216 2021-08-22 03:11:59,119 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1497/26861 loss：0.423764 2021-08-22 03:12:00,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1498/26861 loss：0.044814 2021-08-22 03:12:02,338 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1499/26861 loss：0.021875 2021-08-22 03:12:03,949 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1500/26861 loss：0.448914 2021-08-22 03:12:05,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1501/26861 loss：0.316306 2021-08-22 03:12:07,203 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1502/26861 loss：0.742747 2021-08-22 03:12:08,837 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1503/26861 loss：0.647352 2021-08-22 03:12:10,446 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1504/26861 loss：0.055508 2021-08-22 03:12:12,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1505/26861 loss：0.045343 2021-08-22 03:12:13,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1506/26861 loss：0.882830 2021-08-22 03:12:15,261 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1507/26861 loss：0.417986 2021-08-22 03:12:16,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1508/26861 loss：0.545884 2021-08-22 03:12:18,483 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1509/26861 loss：0.264381 2021-08-22 03:12:20,088 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1510/26861 loss：0.775117 2021-08-22 03:12:21,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1511/26861 loss：0.527965 2021-08-22 03:12:23,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1512/26861 loss：0.107449 2021-08-22 03:12:24,898 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1513/26861 loss：0.109619 2021-08-22 03:12:26,502 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1514/26861 loss：0.053127 2021-08-22 03:12:28,111 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1515/26861 loss：0.048202 2021-08-22 03:12:29,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1516/26861 loss：0.408093 2021-08-22 03:12:31,326 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1517/26861 loss：0.302845 2021-08-22 03:12:32,927 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1518/26861 loss：0.049149 2021-08-22 03:12:34,532 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1519/26861 loss：0.064724 2021-08-22 03:12:36,135 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1520/26861 loss：0.439016 2021-08-22 03:12:37,741 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1521/26861 loss：0.339497 2021-08-22 03:12:39,367 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1522/26861 loss：0.711525 2021-08-22 03:12:40,991 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1523/26861 loss：0.460219 2021-08-22 03:12:42,598 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1524/26861 loss：0.442852 2021-08-22 03:12:44,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1525/26861 loss：0.447804 2021-08-22 03:12:45,804 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1526/26861 loss：0.638565 2021-08-22 03:12:47,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1527/26861 loss：0.557082 2021-08-22 03:12:49,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1528/26861 loss：0.355219 2021-08-22 03:12:50,610 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1529/26861 loss：0.201614 2021-08-22 03:12:52,214 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1530/26861 loss：0.224150 2021-08-22 03:12:53,821 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1531/26861 loss：0.281639 2021-08-22 03:12:55,422 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1532/26861 loss：0.387718 2021-08-22 03:12:57,026 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1533/26861 loss：0.347161 2021-08-22 03:12:58,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1534/26861 loss：0.632574 2021-08-22 03:13:00,237 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1535/26861 loss：0.470253 2021-08-22 03:13:01,848 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1536/26861 loss：0.226726 2021-08-22 03:13:03,458 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1537/26861 loss：0.146468 2021-08-22 03:13:05,079 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1538/26861 loss：1.168043 2021-08-22 03:13:06,715 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1539/26861 loss：0.914408 2021-08-22 03:13:08,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1540/26861 loss：0.099134 2021-08-22 03:13:10,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1541/26861 loss：0.063631 2021-08-22 03:13:11,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1542/26861 loss：0.117795 2021-08-22 03:13:13,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1543/26861 loss：0.070835 2021-08-22 03:13:14,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1544/26861 loss：0.022193 2021-08-22 03:13:16,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1545/26861 loss：0.015977 2021-08-22 03:13:18,174 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1546/26861 loss：0.041570 2021-08-22 03:13:19,779 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1547/26861 loss：0.027336 2021-08-22 03:13:21,392 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1548/26861 loss：0.433685 2021-08-22 03:13:23,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1549/26861 loss：0.127332 2021-08-22 03:13:24,630 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1550/26861 loss：1.460932 2021-08-22 03:13:26,238 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1551/26861 loss：0.215826 2021-08-22 03:13:27,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1552/26861 loss：0.030284 2021-08-22 03:13:29,453 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1553/26861 loss：0.035712 2021-08-22 03:13:31,066 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1554/26861 loss：0.272577 2021-08-22 03:13:32,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1555/26861 loss：0.190316 2021-08-22 03:13:34,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1556/26861 loss：0.194428 2021-08-22 03:13:35,885 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1557/26861 loss：0.292956 2021-08-22 03:13:37,516 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1558/26861 loss：0.039093 2021-08-22 03:13:39,138 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1559/26861 loss：0.038220 2021-08-22 03:13:40,765 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1560/26861 loss：0.028551 2021-08-22 03:13:42,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1561/26861 loss：0.014770 2021-08-22 03:13:43,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1562/26861 loss：0.034968 2021-08-22 03:13:45,592 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1563/26861 loss：0.047491 2021-08-22 03:13:47,192 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1564/26861 loss：0.390589 2021-08-22 03:13:48,797 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1565/26861 loss：0.414388 2021-08-22 03:13:50,398 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1566/26861 loss：0.241055 2021-08-22 03:13:52,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1567/26861 loss：0.243370 2021-08-22 03:13:53,608 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1568/26861 loss：0.982075 2021-08-22 03:13:55,216 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1569/26861 loss：0.693153 2021-08-22 03:13:56,819 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1570/26861 loss：0.692092 2021-08-22 03:13:58,418 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1571/26861 loss：0.540986 2021-08-22 03:14:00,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1572/26861 loss：0.849043 2021-08-22 03:14:01,634 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1573/26861 loss：0.836363 2021-08-22 03:14:03,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1574/26861 loss：0.292394 2021-08-22 03:14:04,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1575/26861 loss：0.100975 2021-08-22 03:14:06,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1576/26861 loss：0.150283 2021-08-22 03:14:08,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1577/26861 loss：0.208385 2021-08-22 03:14:09,660 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1578/26861 loss：1.279803 2021-08-22 03:14:11,266 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1579/26861 loss：1.013500 2021-08-22 03:14:12,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1580/26861 loss：0.859607 2021-08-22 03:14:14,490 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1581/26861 loss：0.814218 2021-08-22 03:14:16,101 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1582/26861 loss：0.071426 2021-08-22 03:14:17,707 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1583/26861 loss：0.098509 2021-08-22 03:14:19,320 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1584/26861 loss：0.075933 2021-08-22 03:14:20,925 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1585/26861 loss：0.045374 2021-08-22 03:14:22,532 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1586/26861 loss：0.149796 2021-08-22 03:14:24,134 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1587/26861 loss：0.128167 2021-08-22 03:14:25,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1588/26861 loss：0.081039 2021-08-22 03:14:27,341 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1589/26861 loss：0.125466 2021-08-22 03:14:28,951 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1590/26861 loss：0.372179 2021-08-22 03:14:30,560 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1591/26861 loss：0.319837 2021-08-22 03:14:32,174 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1592/26861 loss：0.131779 2021-08-22 03:14:33,788 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1593/26861 loss：0.091743 2021-08-22 03:14:35,401 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1594/26861 loss：0.559225 2021-08-22 03:14:37,008 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1595/26861 loss：0.088935 2021-08-22 03:14:38,617 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1596/26861 loss：0.326900 2021-08-22 03:14:40,220 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1597/26861 loss：0.254941 2021-08-22 03:14:41,830 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1598/26861 loss：0.033122 2021-08-22 03:14:43,436 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1599/26861 loss：0.028371 2021-08-22 03:14:45,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1600/26861 loss：0.509810 2021-08-22 03:14:46,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1601/26861 loss：0.496034 2021-08-22 03:14:48,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1602/26861 loss：0.679343 2021-08-22 03:14:49,861 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1603/26861 loss：0.242623 2021-08-22 03:14:51,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1604/26861 loss：0.407423 2021-08-22 03:14:53,086 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1605/26861 loss：0.368329 2021-08-22 03:14:54,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1606/26861 loss：0.221117 2021-08-22 03:14:56,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1607/26861 loss：0.210580 2021-08-22 03:14:57,907 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1608/26861 loss：0.957892 2021-08-22 03:14:59,510 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1609/26861 loss：0.586603 2021-08-22 03:15:01,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1610/26861 loss：0.992546 2021-08-22 03:15:02,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1611/26861 loss：0.998783 2021-08-22 03:15:04,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1612/26861 loss：0.109613 2021-08-22 03:15:05,943 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1613/26861 loss：0.134837 2021-08-22 03:15:07,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1614/26861 loss：0.513373 2021-08-22 03:15:09,155 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1615/26861 loss：0.371388 2021-08-22 03:15:10,764 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1616/26861 loss：0.408637 2021-08-22 03:15:12,370 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1617/26861 loss：0.098888 2021-08-22 03:15:13,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1618/26861 loss：0.764967 2021-08-22 03:15:15,583 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1619/26861 loss：0.481689 2021-08-22 03:15:17,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1620/26861 loss：0.237949 2021-08-22 03:15:18,794 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1621/26861 loss：0.149569 2021-08-22 03:15:20,419 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1622/26861 loss：0.651678 2021-08-22 03:15:22,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1623/26861 loss：0.772190 2021-08-22 03:15:23,679 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1624/26861 loss：0.194476 2021-08-22 03:15:25,300 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1625/26861 loss：0.160356 2021-08-22 03:15:26,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1626/26861 loss：0.288662 2021-08-22 03:15:28,530 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1627/26861 loss：0.275174 2021-08-22 03:15:30,141 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1628/26861 loss：0.688882 2021-08-22 03:15:31,750 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1629/26861 loss：0.467080 2021-08-22 03:15:33,356 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1630/26861 loss：0.138868 2021-08-22 03:15:34,963 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1631/26861 loss：0.033428 2021-08-22 03:15:36,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1632/26861 loss：0.044908 2021-08-22 03:15:38,176 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1633/26861 loss：0.048794 2021-08-22 03:15:39,781 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1634/26861 loss：0.083573 2021-08-22 03:15:41,386 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1635/26861 loss：0.108807 2021-08-22 03:15:42,993 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1636/26861 loss：0.024946 2021-08-22 03:15:44,599 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1637/26861 loss：0.028882 2021-08-22 03:15:46,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1638/26861 loss：0.664028 2021-08-22 03:15:47,802 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1639/26861 loss：0.516741 2021-08-22 03:15:49,414 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1640/26861 loss：0.110852 2021-08-22 03:15:51,024 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1641/26861 loss：0.070631 2021-08-22 03:15:52,632 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1642/26861 loss：0.861314 2021-08-22 03:15:54,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1643/26861 loss：0.276159 2021-08-22 03:15:55,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1644/26861 loss：0.351495 2021-08-22 03:15:57,455 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1645/26861 loss：0.354200 2021-08-22 03:15:59,076 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1646/26861 loss：0.201451 2021-08-22 03:16:00,698 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1647/26861 loss：0.137311 2021-08-22 03:16:02,308 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1648/26861 loss：1.397677 2021-08-22 03:16:03,921 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1649/26861 loss：0.932527 2021-08-22 03:16:05,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1650/26861 loss：0.291245 2021-08-22 03:16:07,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1651/26861 loss：0.281017 2021-08-22 03:16:08,743 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1652/26861 loss：0.736067 2021-08-22 03:16:10,355 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1653/26861 loss：0.793886 2021-08-22 03:16:11,963 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1654/26861 loss：0.279770 2021-08-22 03:16:13,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1655/26861 loss：0.281284 2021-08-22 03:16:15,210 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1656/26861 loss：1.039485 2021-08-22 03:16:16,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1657/26861 loss：0.714069 2021-08-22 03:16:18,496 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1658/26861 loss：1.115030 2021-08-22 03:16:20,121 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1659/26861 loss：0.821000 2021-08-22 03:16:21,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1660/26861 loss：0.534748 2021-08-22 03:16:23,348 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1661/26861 loss：0.212843 2021-08-22 03:16:24,958 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1662/26861 loss：1.131234 2021-08-22 03:16:26,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1663/26861 loss：0.875952 2021-08-22 03:16:28,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1664/26861 loss：0.884716 2021-08-22 03:16:29,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1665/26861 loss：0.794323 2021-08-22 03:16:31,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1666/26861 loss：0.302937 2021-08-22 03:16:32,993 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1667/26861 loss：0.320138 2021-08-22 03:16:34,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1668/26861 loss：0.878388 2021-08-22 03:16:36,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1669/26861 loss：0.448889 2021-08-22 03:16:37,807 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1670/26861 loss：0.864545 2021-08-22 03:16:39,404 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1671/26861 loss：0.597388 2021-08-22 03:16:41,014 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1672/26861 loss：1.814006 2021-08-22 03:16:42,615 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1673/26861 loss：1.494704 2021-08-22 03:16:44,206 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1674/26861 loss：0.719010 2021-08-22 03:16:45,796 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1675/26861 loss：0.640873 2021-08-22 03:16:47,398 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1676/26861 loss：0.328443 2021-08-22 03:16:49,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1677/26861 loss：0.321025 2021-08-22 03:16:50,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1678/26861 loss：0.290544 2021-08-22 03:16:52,223 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1679/26861 loss：0.218935 2021-08-22 03:16:53,830 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1680/26861 loss：0.827685 2021-08-22 03:16:55,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1681/26861 loss：0.572606 2021-08-22 03:16:57,045 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1682/26861 loss：0.183055 2021-08-22 03:16:58,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1683/26861 loss：0.195638 2021-08-22 03:17:00,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1684/26861 loss：0.324459 2021-08-22 03:17:01,865 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1685/26861 loss：0.120575 2021-08-22 03:17:03,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1686/26861 loss：0.088960 2021-08-22 03:17:05,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1687/26861 loss：0.056940 2021-08-22 03:17:06,679 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1688/26861 loss：0.065834 2021-08-22 03:17:08,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1689/26861 loss：0.039449 2021-08-22 03:17:09,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1690/26861 loss：0.207269 2021-08-22 03:17:11,493 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1691/26861 loss：0.157295 2021-08-22 03:17:13,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1692/26861 loss：0.671204 2021-08-22 03:17:14,706 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1693/26861 loss：0.704804 2021-08-22 03:17:16,310 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1694/26861 loss：0.094038 2021-08-22 03:17:17,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1695/26861 loss：0.102579 2021-08-22 03:17:19,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1696/26861 loss：0.725692 2021-08-22 03:17:21,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1697/26861 loss：0.656126 2021-08-22 03:17:22,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1698/26861 loss：0.439780 2021-08-22 03:17:24,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1699/26861 loss：0.397260 2021-08-22 03:17:25,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1700/26861 loss：0.551668 2021-08-22 03:17:27,559 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1701/26861 loss：0.377067 2021-08-22 03:17:29,168 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1702/26861 loss：0.287530 2021-08-22 03:17:30,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1703/26861 loss：0.057366 2021-08-22 03:17:32,373 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1704/26861 loss：0.062424 2021-08-22 03:17:33,982 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1705/26861 loss：0.116428 2021-08-22 03:17:35,595 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1706/26861 loss：0.407421 2021-08-22 03:17:37,202 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1707/26861 loss：0.458185 2021-08-22 03:17:38,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1708/26861 loss：0.034338 2021-08-22 03:17:40,414 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1709/26861 loss：0.032645 2021-08-22 03:17:42,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1710/26861 loss：0.259139 2021-08-22 03:17:43,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1711/26861 loss：0.077105 2021-08-22 03:17:45,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1712/26861 loss：0.421535 2021-08-22 03:17:46,843 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1713/26861 loss：0.118590 2021-08-22 03:17:48,447 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1714/26861 loss：0.076623 2021-08-22 03:17:50,049 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1715/26861 loss：0.062701 2021-08-22 03:17:51,675 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1716/26861 loss：0.018430 2021-08-22 03:17:53,298 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1717/26861 loss：0.015640 2021-08-22 03:17:54,924 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1718/26861 loss：0.600497 2021-08-22 03:17:56,540 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1719/26861 loss：0.464527 2021-08-22 03:17:58,163 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1720/26861 loss：0.481591 2021-08-22 03:17:59,797 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1721/26861 loss：0.098306 2021-08-22 03:18:01,402 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1722/26861 loss：2.011985 2021-08-22 03:18:03,011 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1723/26861 loss：1.490467 2021-08-22 03:18:04,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1724/26861 loss：2.008718 2021-08-22 03:18:06,217 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1725/26861 loss：1.873738 2021-08-22 03:18:07,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1726/26861 loss：0.358584 2021-08-22 03:18:09,426 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1727/26861 loss：0.270870 2021-08-22 03:18:11,033 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1728/26861 loss：0.264010 2021-08-22 03:18:12,637 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1729/26861 loss：0.286820 2021-08-22 03:18:14,250 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1730/26861 loss：0.637507 2021-08-22 03:18:15,852 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1731/26861 loss：0.362501 2021-08-22 03:18:17,462 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1732/26861 loss：0.476162 2021-08-22 03:18:19,070 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1733/26861 loss：0.448825 2021-08-22 03:18:20,681 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1734/26861 loss：0.333492 2021-08-22 03:18:22,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1735/26861 loss：0.297597 2021-08-22 03:18:23,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1736/26861 loss：0.144058 2021-08-22 03:18:25,490 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1737/26861 loss：0.053846 2021-08-22 03:18:27,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1738/26861 loss：1.224552 2021-08-22 03:18:28,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1739/26861 loss：1.056328 2021-08-22 03:18:30,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1740/26861 loss：0.512500 2021-08-22 03:18:31,922 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1741/26861 loss：0.468437 2021-08-22 03:18:33,550 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1742/26861 loss：0.502781 2021-08-22 03:18:35,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1743/26861 loss：0.546891 2021-08-22 03:18:36,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1744/26861 loss：0.041837 2021-08-22 03:18:38,462 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1745/26861 loss：0.041796 2021-08-22 03:18:40,100 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1746/26861 loss：0.031250 2021-08-22 03:18:41,740 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1747/26861 loss：0.029996 2021-08-22 03:18:43,357 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1748/26861 loss：0.183532 2021-08-22 03:18:44,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1749/26861 loss：0.140843 2021-08-22 03:18:46,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1750/26861 loss：0.284167 2021-08-22 03:18:48,192 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1751/26861 loss：0.239072 2021-08-22 03:18:49,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1752/26861 loss：0.385082 2021-08-22 03:18:51,400 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1753/26861 loss：0.217500 2021-08-22 03:18:53,013 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1754/26861 loss：1.278993 2021-08-22 03:18:54,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1755/26861 loss：0.834414 2021-08-22 03:18:56,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1756/26861 loss：0.356660 2021-08-22 03:18:57,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1757/26861 loss：0.129428 2021-08-22 03:18:59,516 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1758/26861 loss：0.407352 2021-08-22 03:19:01,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1759/26861 loss：0.049103 2021-08-22 03:19:02,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1760/26861 loss：0.791961 2021-08-22 03:19:04,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1761/26861 loss：0.847743 2021-08-22 03:19:05,959 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1762/26861 loss：0.552815 2021-08-22 03:19:07,566 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1763/26861 loss：0.350170 2021-08-22 03:19:09,174 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1764/26861 loss：0.234818 2021-08-22 03:19:10,778 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1765/26861 loss：0.168403 2021-08-22 03:19:12,385 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1766/26861 loss：0.209233 2021-08-22 03:19:13,989 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1767/26861 loss：0.185964 2021-08-22 03:19:15,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1768/26861 loss：0.554052 2021-08-22 03:19:17,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1769/26861 loss：0.493283 2021-08-22 03:19:18,807 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1770/26861 loss：0.447637 2021-08-22 03:19:20,415 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1771/26861 loss：0.480215 2021-08-22 03:19:22,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1772/26861 loss：1.330480 2021-08-22 03:19:23,656 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1773/26861 loss：0.309579 2021-08-22 03:19:25,270 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1774/26861 loss：0.682043 2021-08-22 03:19:26,877 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1775/26861 loss：0.526181 2021-08-22 03:19:28,493 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1776/26861 loss：0.625532 2021-08-22 03:19:30,105 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1777/26861 loss：0.475561 2021-08-22 03:19:31,709 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1778/26861 loss：0.101982 2021-08-22 03:19:33,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1779/26861 loss：0.172726 2021-08-22 03:19:34,923 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1780/26861 loss：0.349577 2021-08-22 03:19:36,530 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1781/26861 loss：0.277656 2021-08-22 03:19:38,129 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1782/26861 loss：0.567420 2021-08-22 03:19:39,735 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1783/26861 loss：0.492794 2021-08-22 03:19:41,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1784/26861 loss：0.460205 2021-08-22 03:19:42,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1785/26861 loss：0.105753 2021-08-22 03:19:44,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1786/26861 loss：0.060824 2021-08-22 03:19:46,164 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1787/26861 loss：0.087398 2021-08-22 03:19:47,772 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1788/26861 loss：0.105219 2021-08-22 03:19:49,378 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1789/26861 loss：0.040105 2021-08-22 03:19:50,988 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1790/26861 loss：0.808148 2021-08-22 03:19:52,604 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1791/26861 loss：0.588173 2021-08-22 03:19:54,210 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1792/26861 loss：0.074168 2021-08-22 03:19:55,814 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1793/26861 loss：0.051074 2021-08-22 03:19:57,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1794/26861 loss：0.125531 2021-08-22 03:19:59,042 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1795/26861 loss：0.069763 2021-08-22 03:20:00,643 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1796/26861 loss：0.551601 2021-08-22 03:20:02,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1797/26861 loss：0.442805 2021-08-22 03:20:03,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1798/26861 loss：0.263115 2021-08-22 03:20:05,457 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1799/26861 loss：0.121319 2021-08-22 03:20:07,062 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1800/26861 loss：0.040055 2021-08-22 03:20:08,662 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1801/26861 loss：0.028645 2021-08-22 03:20:10,267 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1802/26861 loss：0.183468 2021-08-22 03:20:11,880 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1803/26861 loss：0.123606 2021-08-22 03:20:13,486 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1804/26861 loss：0.207742 2021-08-22 03:20:15,089 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1805/26861 loss：0.196160 2021-08-22 03:20:16,690 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1806/26861 loss：0.517783 2021-08-22 03:20:18,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1807/26861 loss：0.495006 2021-08-22 03:20:19,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1808/26861 loss：0.945571 2021-08-22 03:20:21,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1809/26861 loss：0.922838 2021-08-22 03:20:23,120 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1810/26861 loss：0.305273 2021-08-22 03:20:24,729 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1811/26861 loss：0.252286 2021-08-22 03:20:26,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1812/26861 loss：0.110777 2021-08-22 03:20:27,930 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1813/26861 loss：0.111032 2021-08-22 03:20:29,539 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1814/26861 loss：0.242972 2021-08-22 03:20:31,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1815/26861 loss：0.144704 2021-08-22 03:20:32,761 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1816/26861 loss：0.045579 2021-08-22 03:20:34,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1817/26861 loss：0.038556 2021-08-22 03:20:35,975 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1818/26861 loss：0.147978 2021-08-22 03:20:37,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1819/26861 loss：0.054429 2021-08-22 03:20:39,186 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1820/26861 loss：0.723123 2021-08-22 03:20:40,791 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1821/26861 loss：0.657584 2021-08-22 03:20:42,398 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1822/26861 loss：0.770088 2021-08-22 03:20:44,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1823/26861 loss：0.363928 2021-08-22 03:20:45,610 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1824/26861 loss：0.224078 2021-08-22 03:20:47,211 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1825/26861 loss：0.253144 2021-08-22 03:20:48,814 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1826/26861 loss：0.400535 2021-08-22 03:20:50,423 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1827/26861 loss：0.530852 2021-08-22 03:20:52,036 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1828/26861 loss：0.428503 2021-08-22 03:20:53,640 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1829/26861 loss：0.415736 2021-08-22 03:20:55,253 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1830/26861 loss：0.424008 2021-08-22 03:20:56,862 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1831/26861 loss：0.309144 2021-08-22 03:20:58,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1832/26861 loss：0.126485 2021-08-22 03:21:00,069 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1833/26861 loss：0.158551 2021-08-22 03:21:01,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1834/26861 loss：1.177425 2021-08-22 03:21:03,281 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1835/26861 loss：0.797932 2021-08-22 03:21:04,893 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1836/26861 loss：0.065375 2021-08-22 03:21:06,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1837/26861 loss：0.044743 2021-08-22 03:21:08,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1838/26861 loss：0.025728 2021-08-22 03:21:09,712 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1839/26861 loss：0.017560 2021-08-22 03:21:11,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1840/26861 loss：0.311389 2021-08-22 03:21:12,964 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1841/26861 loss：0.210093 2021-08-22 03:21:14,571 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1842/26861 loss：0.207685 2021-08-22 03:21:16,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1843/26861 loss：0.145154 2021-08-22 03:21:17,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1844/26861 loss：2.543542 2021-08-22 03:21:19,414 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1845/26861 loss：1.769565 2021-08-22 03:21:21,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1846/26861 loss：0.878585 2021-08-22 03:21:22,643 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1847/26861 loss：0.929828 2021-08-22 03:21:24,252 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1848/26861 loss：0.552329 2021-08-22 03:21:25,866 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1849/26861 loss：0.331891 2021-08-22 03:21:27,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1850/26861 loss：0.702261 2021-08-22 03:21:29,083 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1851/26861 loss：0.669949 2021-08-22 03:21:30,693 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1852/26861 loss：0.462648 2021-08-22 03:21:32,301 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1853/26861 loss：0.506576 2021-08-22 03:21:33,906 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1854/26861 loss：0.396292 2021-08-22 03:21:35,509 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1855/26861 loss：0.402411 2021-08-22 03:21:37,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1856/26861 loss：0.240234 2021-08-22 03:21:38,719 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1857/26861 loss：0.125550 2021-08-22 03:21:40,335 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1858/26861 loss：0.025564 2021-08-22 03:21:41,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1859/26861 loss：0.021609 2021-08-22 03:21:43,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1860/26861 loss：0.038841 2021-08-22 03:21:45,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1861/26861 loss：0.039129 2021-08-22 03:21:46,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1862/26861 loss：0.039573 2021-08-22 03:21:48,356 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1863/26861 loss：0.049911 2021-08-22 03:21:49,960 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1864/26861 loss：0.421363 2021-08-22 03:21:51,572 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1865/26861 loss：0.453508 2021-08-22 03:21:53,176 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1866/26861 loss：0.316020 2021-08-22 03:21:54,780 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1867/26861 loss：0.207720 2021-08-22 03:21:56,387 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1868/26861 loss：0.610680 2021-08-22 03:21:57,989 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1869/26861 loss：0.694231 2021-08-22 03:21:59,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1870/26861 loss：0.251515 2021-08-22 03:22:01,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1871/26861 loss：0.252151 2021-08-22 03:22:02,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1872/26861 loss：0.579849 2021-08-22 03:22:04,425 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1873/26861 loss：0.490274 2021-08-22 03:22:06,036 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1874/26861 loss：0.097292 2021-08-22 03:22:07,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1875/26861 loss：0.096227 2021-08-22 03:22:09,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1876/26861 loss：0.018518 2021-08-22 03:22:10,865 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1877/26861 loss：0.040428 2021-08-22 03:22:12,466 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1878/26861 loss：0.212411 2021-08-22 03:22:14,064 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1879/26861 loss：0.109155 2021-08-22 03:22:15,675 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1880/26861 loss：0.836930 2021-08-22 03:22:17,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1881/26861 loss：0.737306 2021-08-22 03:22:18,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1882/26861 loss：0.031937 2021-08-22 03:22:20,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1883/26861 loss：0.029302 2021-08-22 03:22:22,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1884/26861 loss：0.122768 2021-08-22 03:22:23,714 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1885/26861 loss：0.050559 2021-08-22 03:22:25,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1886/26861 loss：0.203300 2021-08-22 03:22:26,910 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1887/26861 loss：0.221035 2021-08-22 03:22:28,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1888/26861 loss：0.283642 2021-08-22 03:22:30,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1889/26861 loss：0.248152 2021-08-22 03:22:31,732 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1890/26861 loss：0.144199 2021-08-22 03:22:33,341 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1891/26861 loss：0.075372 2021-08-22 03:22:34,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1892/26861 loss：0.131929 2021-08-22 03:22:36,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1893/26861 loss：0.110670 2021-08-22 03:22:38,161 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1894/26861 loss：0.307794 2021-08-22 03:22:39,771 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1895/26861 loss：0.252207 2021-08-22 03:22:41,379 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1896/26861 loss：0.039255 2021-08-22 03:22:42,983 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1897/26861 loss：0.035023 2021-08-22 03:22:44,605 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1898/26861 loss：0.148391 2021-08-22 03:22:46,234 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1899/26861 loss：0.097581 2021-08-22 03:22:47,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1900/26861 loss：0.044265 2021-08-22 03:22:49,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1901/26861 loss：0.044628 2021-08-22 03:22:51,067 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1902/26861 loss：0.052868 2021-08-22 03:22:52,667 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1903/26861 loss：0.044806 2021-08-22 03:22:54,271 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1904/26861 loss：0.017843 2021-08-22 03:22:55,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1905/26861 loss：0.037875 2021-08-22 03:22:57,480 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1906/26861 loss：0.291252 2021-08-22 03:22:59,089 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1907/26861 loss：0.180138 2021-08-22 03:23:00,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1908/26861 loss：0.679910 2021-08-22 03:23:02,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1909/26861 loss：0.422365 2021-08-22 03:23:03,913 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1910/26861 loss：0.152401 2021-08-22 03:23:05,518 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1911/26861 loss：0.135899 2021-08-22 03:23:07,129 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1912/26861 loss：0.029219 2021-08-22 03:23:08,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1913/26861 loss：0.043530 2021-08-22 03:23:10,344 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1914/26861 loss：0.355683 2021-08-22 03:23:11,951 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1915/26861 loss：0.142342 2021-08-22 03:23:13,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1916/26861 loss：0.109903 2021-08-22 03:23:15,158 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1917/26861 loss：0.064361 2021-08-22 03:23:16,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1918/26861 loss：0.066366 2021-08-22 03:23:18,377 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1919/26861 loss：0.090339 2021-08-22 03:23:19,982 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1920/26861 loss：0.224727 2021-08-22 03:23:21,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1921/26861 loss：0.201629 2021-08-22 03:23:23,192 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1922/26861 loss：0.460454 2021-08-22 03:23:24,797 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1923/26861 loss：0.368982 2021-08-22 03:23:26,406 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1924/26861 loss：0.245618 2021-08-22 03:23:28,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1925/26861 loss：0.095361 2021-08-22 03:23:29,659 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1926/26861 loss：0.091708 2021-08-22 03:23:31,312 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1927/26861 loss：0.050258 2021-08-22 03:23:32,941 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1928/26861 loss：0.152040 2021-08-22 03:23:34,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1929/26861 loss：0.060147 2021-08-22 03:23:36,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1930/26861 loss：0.222270 2021-08-22 03:23:37,798 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1931/26861 loss：0.029937 2021-08-22 03:23:39,404 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1932/26861 loss：0.493685 2021-08-22 03:23:41,013 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1933/26861 loss：0.349025 2021-08-22 03:23:42,623 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1934/26861 loss：0.139428 2021-08-22 03:23:44,233 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1935/26861 loss：0.142129 2021-08-22 03:23:45,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1936/26861 loss：0.435780 2021-08-22 03:23:47,444 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1937/26861 loss：0.218985 2021-08-22 03:23:49,067 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1938/26861 loss：0.132475 2021-08-22 03:23:50,690 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1939/26861 loss：0.091891 2021-08-22 03:23:52,317 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1940/26861 loss：0.060501 2021-08-22 03:23:53,948 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1941/26861 loss：0.049663 2021-08-22 03:23:55,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1942/26861 loss：0.325697 2021-08-22 03:23:57,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1943/26861 loss：0.325778 2021-08-22 03:23:58,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1944/26861 loss：0.509122 2021-08-22 03:24:00,436 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1945/26861 loss：0.439918 2021-08-22 03:24:02,040 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1946/26861 loss：0.637537 2021-08-22 03:24:03,650 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1947/26861 loss：0.589581 2021-08-22 03:24:05,257 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1948/26861 loss：0.112410 2021-08-22 03:24:06,862 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1949/26861 loss：0.136636 2021-08-22 03:24:08,470 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1950/26861 loss：0.284053 2021-08-22 03:24:10,089 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1951/26861 loss：0.235465 2021-08-22 03:24:11,696 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1952/26861 loss：0.134467 2021-08-22 03:24:13,299 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1953/26861 loss：0.122559 2021-08-22 03:24:14,902 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1954/26861 loss：0.051475 2021-08-22 03:24:16,505 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1955/26861 loss：0.027038 2021-08-22 03:24:18,119 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1956/26861 loss：0.053493 2021-08-22 03:24:19,735 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1957/26861 loss：0.041979 2021-08-22 03:24:21,344 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1958/26861 loss：0.015510 2021-08-22 03:24:22,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1959/26861 loss：0.015030 2021-08-22 03:24:24,553 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1960/26861 loss：0.670501 2021-08-22 03:24:26,152 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1961/26861 loss：0.514312 2021-08-22 03:24:27,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1962/26861 loss：0.702849 2021-08-22 03:24:29,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1963/26861 loss：0.473279 2021-08-22 03:24:30,970 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1964/26861 loss：0.035970 2021-08-22 03:24:32,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1965/26861 loss：0.062228 2021-08-22 03:24:34,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1966/26861 loss：0.202176 2021-08-22 03:24:35,796 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1967/26861 loss：0.242115 2021-08-22 03:24:37,398 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1968/26861 loss：0.009711 2021-08-22 03:24:39,007 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1969/26861 loss：0.008026 2021-08-22 03:24:40,612 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1970/26861 loss：0.023105 2021-08-22 03:24:42,217 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1971/26861 loss：0.033989 2021-08-22 03:24:43,817 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1972/26861 loss：0.043142 2021-08-22 03:24:45,423 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1973/26861 loss：0.048577 2021-08-22 03:24:47,029 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1974/26861 loss：0.108162 2021-08-22 03:24:48,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1975/26861 loss：0.057335 2021-08-22 03:24:50,268 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1976/26861 loss：0.560772 2021-08-22 03:24:51,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1977/26861 loss：0.564529 2021-08-22 03:24:53,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1978/26861 loss：0.058840 2021-08-22 03:24:55,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1979/26861 loss：0.054012 2021-08-22 03:24:56,726 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1980/26861 loss：0.489344 2021-08-22 03:24:58,328 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1981/26861 loss：0.467419 2021-08-22 03:24:59,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1982/26861 loss：0.123669 2021-08-22 03:25:01,551 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1983/26861 loss：0.085706 2021-08-22 03:25:03,169 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1984/26861 loss：0.029102 2021-08-22 03:25:04,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1985/26861 loss：0.033837 2021-08-22 03:25:06,394 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1986/26861 loss：0.309634 2021-08-22 03:25:08,009 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1987/26861 loss：0.062176 2021-08-22 03:25:09,627 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1988/26861 loss：0.218687 2021-08-22 03:25:11,242 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1989/26861 loss：0.307960 2021-08-22 03:25:12,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1990/26861 loss：0.121185 2021-08-22 03:25:14,466 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1991/26861 loss：0.169490 2021-08-22 03:25:16,085 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1992/26861 loss：0.036504 2021-08-22 03:25:17,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1993/26861 loss：0.031744 2021-08-22 03:25:19,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1994/26861 loss：0.611887 2021-08-22 03:25:20,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1995/26861 loss：0.440006 2021-08-22 03:25:22,520 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1996/26861 loss：0.113623 2021-08-22 03:25:24,126 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1997/26861 loss：0.073170 2021-08-22 03:25:25,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1998/26861 loss：0.236334 2021-08-22 03:25:27,345 - INFO - main.py - train - 74 - 【train】 epoch：0 step:1999/26861 loss：0.226255 2021-08-22 03:25:28,948 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2000/26861 loss：0.243957 2021-08-22 03:25:30,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2001/26861 loss：0.157313 2021-08-22 03:25:32,161 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2002/26861 loss：0.134688 2021-08-22 03:25:33,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2003/26861 loss：0.107051 2021-08-22 03:25:35,378 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2004/26861 loss：0.449837 2021-08-22 03:25:36,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2005/26861 loss：0.449329 2021-08-22 03:25:38,587 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2006/26861 loss：0.422318 2021-08-22 03:25:40,195 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2007/26861 loss：0.378166 2021-08-22 03:25:41,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2008/26861 loss：0.470491 2021-08-22 03:25:43,402 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2009/26861 loss：0.193355 2021-08-22 03:25:45,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2010/26861 loss：1.452600 2021-08-22 03:25:46,617 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2011/26861 loss：1.055991 2021-08-22 03:25:48,225 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2012/26861 loss：0.068252 2021-08-22 03:25:49,835 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2013/26861 loss：0.061153 2021-08-22 03:25:51,441 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2014/26861 loss：0.090903 2021-08-22 03:25:53,041 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2015/26861 loss：0.088776 2021-08-22 03:25:54,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2016/26861 loss：1.225719 2021-08-22 03:25:56,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2017/26861 loss：0.624865 2021-08-22 03:25:57,865 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2018/26861 loss：0.240419 2021-08-22 03:25:59,471 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2019/26861 loss：0.156666 2021-08-22 03:26:01,072 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2020/26861 loss：0.093614 2021-08-22 03:26:02,675 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2021/26861 loss：0.092668 2021-08-22 03:26:04,287 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2022/26861 loss：0.088700 2021-08-22 03:26:05,892 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2023/26861 loss：0.155871 2021-08-22 03:26:07,503 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2024/26861 loss：0.712485 2021-08-22 03:26:09,112 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2025/26861 loss：0.873440 2021-08-22 03:26:10,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2026/26861 loss：0.067954 2021-08-22 03:26:12,332 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2027/26861 loss：0.065307 2021-08-22 03:26:13,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2028/26861 loss：0.063680 2021-08-22 03:26:15,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2029/26861 loss：0.061265 2021-08-22 03:26:17,141 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2030/26861 loss：0.646287 2021-08-22 03:26:18,738 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2031/26861 loss：0.360556 2021-08-22 03:26:20,348 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2032/26861 loss：0.590956 2021-08-22 03:26:21,959 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2033/26861 loss：0.454700 2021-08-22 03:26:23,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2034/26861 loss：0.247745 2021-08-22 03:26:25,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2035/26861 loss：0.116403 2021-08-22 03:26:26,775 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2036/26861 loss：0.163949 2021-08-22 03:26:28,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2037/26861 loss：0.059414 2021-08-22 03:26:29,992 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2038/26861 loss：0.173711 2021-08-22 03:26:31,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2039/26861 loss：0.121931 2021-08-22 03:26:33,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2040/26861 loss：0.594742 2021-08-22 03:26:34,812 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2041/26861 loss：0.365037 2021-08-22 03:26:36,423 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2042/26861 loss：0.439274 2021-08-22 03:26:38,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2043/26861 loss：0.332915 2021-08-22 03:26:39,627 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2044/26861 loss：0.127788 2021-08-22 03:26:41,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2045/26861 loss：0.185776 2021-08-22 03:26:42,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2046/26861 loss：0.914644 2021-08-22 03:26:44,458 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2047/26861 loss：0.783024 2021-08-22 03:26:46,061 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2048/26861 loss：0.395887 2021-08-22 03:26:47,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2049/26861 loss：0.363005 2021-08-22 03:26:49,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2050/26861 loss：0.041152 2021-08-22 03:26:50,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2051/26861 loss：0.032756 2021-08-22 03:26:52,530 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2052/26861 loss：0.364843 2021-08-22 03:26:54,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2053/26861 loss：0.274205 2021-08-22 03:26:55,752 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2054/26861 loss：0.029779 2021-08-22 03:26:57,365 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2055/26861 loss：0.029208 2021-08-22 03:26:58,977 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2056/26861 loss：0.317039 2021-08-22 03:27:00,587 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2057/26861 loss：0.093093 2021-08-22 03:27:02,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2058/26861 loss：0.086833 2021-08-22 03:27:03,802 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2059/26861 loss：0.115947 2021-08-22 03:27:05,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2060/26861 loss：0.125842 2021-08-22 03:27:07,028 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2061/26861 loss：0.112435 2021-08-22 03:27:08,637 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2062/26861 loss：0.210978 2021-08-22 03:27:10,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2063/26861 loss：0.160870 2021-08-22 03:27:11,869 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2064/26861 loss：0.062606 2021-08-22 03:27:13,481 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2065/26861 loss：0.056994 2021-08-22 03:27:15,086 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2066/26861 loss：0.399519 2021-08-22 03:27:16,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2067/26861 loss：0.384352 2021-08-22 03:27:18,289 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2068/26861 loss：0.164271 2021-08-22 03:27:19,892 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2069/26861 loss：0.089695 2021-08-22 03:27:21,496 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2070/26861 loss：0.027563 2021-08-22 03:27:23,104 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2071/26861 loss：0.031578 2021-08-22 03:27:24,709 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2072/26861 loss：0.040118 2021-08-22 03:27:26,319 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2073/26861 loss：0.049496 2021-08-22 03:27:27,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2074/26861 loss：0.296317 2021-08-22 03:27:29,522 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2075/26861 loss：0.338888 2021-08-22 03:27:31,134 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2076/26861 loss：0.037398 2021-08-22 03:27:32,741 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2077/26861 loss：0.036140 2021-08-22 03:27:34,350 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2078/26861 loss：0.110480 2021-08-22 03:27:35,957 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2079/26861 loss：0.049475 2021-08-22 03:27:37,566 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2080/26861 loss：0.356604 2021-08-22 03:27:39,168 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2081/26861 loss：0.200030 2021-08-22 03:27:40,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2082/26861 loss：0.886818 2021-08-22 03:27:42,380 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2083/26861 loss：0.600549 2021-08-22 03:27:43,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2084/26861 loss：1.384417 2021-08-22 03:27:45,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2085/26861 loss：1.003038 2021-08-22 03:27:47,207 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2086/26861 loss：0.230585 2021-08-22 03:27:48,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2087/26861 loss：0.274126 2021-08-22 03:27:50,417 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2088/26861 loss：0.270279 2021-08-22 03:27:52,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2089/26861 loss：0.227678 2021-08-22 03:27:53,620 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2090/26861 loss：0.522495 2021-08-22 03:27:55,230 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2091/26861 loss：0.353709 2021-08-22 03:27:56,844 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2092/26861 loss：0.152711 2021-08-22 03:27:58,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2093/26861 loss：0.152245 2021-08-22 03:28:00,085 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2094/26861 loss：0.700267 2021-08-22 03:28:01,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2095/26861 loss：0.200527 2021-08-22 03:28:03,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2096/26861 loss：0.029822 2021-08-22 03:28:04,943 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2097/26861 loss：0.033526 2021-08-22 03:28:06,556 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2098/26861 loss：0.024887 2021-08-22 03:28:08,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2099/26861 loss：0.068110 2021-08-22 03:28:09,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2100/26861 loss：0.021433 2021-08-22 03:28:11,393 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2101/26861 loss：0.022669 2021-08-22 03:28:12,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2102/26861 loss：0.517477 2021-08-22 03:28:14,611 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2103/26861 loss：0.188464 2021-08-22 03:28:16,213 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2104/26861 loss：1.345751 2021-08-22 03:28:17,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2105/26861 loss：0.167298 2021-08-22 03:28:19,423 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2106/26861 loss：0.850849 2021-08-22 03:28:21,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2107/26861 loss：0.573354 2021-08-22 03:28:22,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2108/26861 loss：0.346143 2021-08-22 03:28:24,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2109/26861 loss：0.402058 2021-08-22 03:28:25,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2110/26861 loss：0.751273 2021-08-22 03:28:27,464 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2111/26861 loss：0.547172 2021-08-22 03:28:29,072 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2112/26861 loss：0.798931 2021-08-22 03:28:30,672 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2113/26861 loss：0.838867 2021-08-22 03:28:32,283 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2114/26861 loss：0.714094 2021-08-22 03:28:33,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2115/26861 loss：0.351839 2021-08-22 03:28:35,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2116/26861 loss：0.403241 2021-08-22 03:28:37,099 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2117/26861 loss：0.279090 2021-08-22 03:28:38,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2118/26861 loss：0.408770 2021-08-22 03:28:40,331 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2119/26861 loss：0.220407 2021-08-22 03:28:41,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2120/26861 loss：0.236127 2021-08-22 03:28:43,528 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2121/26861 loss：0.221546 2021-08-22 03:28:45,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2122/26861 loss：0.419342 2021-08-22 03:28:46,727 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2123/26861 loss：0.285640 2021-08-22 03:28:48,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2124/26861 loss：0.439670 2021-08-22 03:28:49,944 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2125/26861 loss：0.240586 2021-08-22 03:28:51,560 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2126/26861 loss：0.074677 2021-08-22 03:28:53,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2127/26861 loss：0.064567 2021-08-22 03:28:54,769 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2128/26861 loss：0.557263 2021-08-22 03:28:56,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2129/26861 loss：0.480043 2021-08-22 03:28:57,980 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2130/26861 loss：0.210655 2021-08-22 03:28:59,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2131/26861 loss：0.141189 2021-08-22 03:29:01,192 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2132/26861 loss：0.383862 2021-08-22 03:29:02,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2133/26861 loss：0.366281 2021-08-22 03:29:04,406 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2134/26861 loss：0.353527 2021-08-22 03:29:06,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2135/26861 loss：0.289645 2021-08-22 03:29:07,623 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2136/26861 loss：0.714502 2021-08-22 03:29:09,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2137/26861 loss：0.502068 2021-08-22 03:29:10,835 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2138/26861 loss：0.335859 2021-08-22 03:29:12,443 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2139/26861 loss：0.205881 2021-08-22 03:29:14,042 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2140/26861 loss：0.085821 2021-08-22 03:29:15,646 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2141/26861 loss：0.068909 2021-08-22 03:29:17,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2142/26861 loss：0.292487 2021-08-22 03:29:18,872 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2143/26861 loss：0.182705 2021-08-22 03:29:20,511 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2144/26861 loss：0.119167 2021-08-22 03:29:22,157 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2145/26861 loss：0.059399 2021-08-22 03:29:23,760 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2146/26861 loss：1.037342 2021-08-22 03:29:25,363 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2147/26861 loss：0.847797 2021-08-22 03:29:27,010 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2148/26861 loss：0.352335 2021-08-22 03:29:28,666 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2149/26861 loss：0.093917 2021-08-22 03:29:30,286 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2150/26861 loss：0.914964 2021-08-22 03:29:31,905 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2151/26861 loss：0.566188 2021-08-22 03:29:33,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2152/26861 loss：0.021402 2021-08-22 03:29:35,120 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2153/26861 loss：0.015748 2021-08-22 03:29:36,727 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2154/26861 loss：0.100883 2021-08-22 03:29:38,333 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2155/26861 loss：0.109644 2021-08-22 03:29:39,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2156/26861 loss：0.053074 2021-08-22 03:29:41,549 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2157/26861 loss：0.058378 2021-08-22 03:29:43,170 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2158/26861 loss：0.087488 2021-08-22 03:29:44,778 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2159/26861 loss：0.040684 2021-08-22 03:29:46,376 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2160/26861 loss：2.325977 2021-08-22 03:29:47,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2161/26861 loss：1.937685 2021-08-22 03:29:49,604 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2162/26861 loss：0.081153 2021-08-22 03:29:51,224 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2163/26861 loss：0.052730 2021-08-22 03:29:52,835 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2164/26861 loss：0.056595 2021-08-22 03:29:54,448 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2165/26861 loss：0.054453 2021-08-22 03:29:56,057 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2166/26861 loss：0.302029 2021-08-22 03:29:57,664 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2167/26861 loss：0.140517 2021-08-22 03:29:59,270 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2168/26861 loss：0.713140 2021-08-22 03:30:00,874 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2169/26861 loss：0.422899 2021-08-22 03:30:02,475 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2170/26861 loss：0.234776 2021-08-22 03:30:04,084 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2171/26861 loss：0.276117 2021-08-22 03:30:05,698 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2172/26861 loss：0.275089 2021-08-22 03:30:07,303 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2173/26861 loss：0.214282 2021-08-22 03:30:08,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2174/26861 loss：0.027507 2021-08-22 03:30:10,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2175/26861 loss：0.033368 2021-08-22 03:30:12,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2176/26861 loss：0.086039 2021-08-22 03:30:13,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2177/26861 loss：0.072324 2021-08-22 03:30:15,411 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2178/26861 loss：0.422719 2021-08-22 03:30:17,014 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2179/26861 loss：0.316096 2021-08-22 03:30:18,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2180/26861 loss：0.080545 2021-08-22 03:30:20,211 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2181/26861 loss：0.212222 2021-08-22 03:30:21,821 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2182/26861 loss：0.041366 2021-08-22 03:30:23,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2183/26861 loss：0.025411 2021-08-22 03:30:25,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2184/26861 loss：0.178593 2021-08-22 03:30:26,639 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2185/26861 loss：0.145219 2021-08-22 03:30:28,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2186/26861 loss：1.005506 2021-08-22 03:30:29,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2187/26861 loss：1.044566 2021-08-22 03:30:31,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2188/26861 loss：0.393912 2021-08-22 03:30:33,083 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2189/26861 loss：0.253077 2021-08-22 03:30:34,695 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2190/26861 loss：0.110875 2021-08-22 03:30:36,313 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2191/26861 loss：0.074209 2021-08-22 03:30:37,925 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2192/26861 loss：0.022335 2021-08-22 03:30:39,540 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2193/26861 loss：0.026442 2021-08-22 03:30:41,155 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2194/26861 loss：1.295793 2021-08-22 03:30:42,758 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2195/26861 loss：1.172792 2021-08-22 03:30:44,358 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2196/26861 loss：0.014135 2021-08-22 03:30:45,960 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2197/26861 loss：0.014036 2021-08-22 03:30:47,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2198/26861 loss：0.066541 2021-08-22 03:30:49,203 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2199/26861 loss：0.076170 2021-08-22 03:30:50,831 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2200/26861 loss：0.026962 2021-08-22 03:30:52,459 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2201/26861 loss：0.027020 2021-08-22 03:30:54,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2202/26861 loss：0.160116 2021-08-22 03:30:55,693 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2203/26861 loss：0.063748 2021-08-22 03:30:57,301 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2204/26861 loss：1.036208 2021-08-22 03:30:58,912 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2205/26861 loss：0.424544 2021-08-22 03:31:00,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2206/26861 loss：0.153024 2021-08-22 03:31:02,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2207/26861 loss：0.117046 2021-08-22 03:31:03,729 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2208/26861 loss：0.184382 2021-08-22 03:31:05,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2209/26861 loss：0.173407 2021-08-22 03:31:06,944 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2210/26861 loss：0.061234 2021-08-22 03:31:08,547 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2211/26861 loss：0.075525 2021-08-22 03:31:10,157 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2212/26861 loss：1.617075 2021-08-22 03:31:11,763 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2213/26861 loss：1.576728 2021-08-22 03:31:13,371 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2214/26861 loss：0.101398 2021-08-22 03:31:14,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2215/26861 loss：0.085230 2021-08-22 03:31:16,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2216/26861 loss：0.235165 2021-08-22 03:31:18,202 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2217/26861 loss：0.157537 2021-08-22 03:31:19,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2218/26861 loss：0.299454 2021-08-22 03:31:21,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2219/26861 loss：0.106177 2021-08-22 03:31:23,005 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2220/26861 loss：0.039560 2021-08-22 03:31:24,614 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2221/26861 loss：0.022540 2021-08-22 03:31:26,218 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2222/26861 loss：0.154656 2021-08-22 03:31:27,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2223/26861 loss：0.119394 2021-08-22 03:31:29,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2224/26861 loss：0.483850 2021-08-22 03:31:31,047 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2225/26861 loss：0.480843 2021-08-22 03:31:32,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2226/26861 loss：0.109738 2021-08-22 03:31:34,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2227/26861 loss：0.113401 2021-08-22 03:31:35,864 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2228/26861 loss：0.584104 2021-08-22 03:31:37,472 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2229/26861 loss：0.376174 2021-08-22 03:31:39,077 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2230/26861 loss：0.104161 2021-08-22 03:31:40,688 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2231/26861 loss：0.069098 2021-08-22 03:31:42,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2232/26861 loss：0.215352 2021-08-22 03:31:43,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2233/26861 loss：0.216758 2021-08-22 03:31:45,490 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2234/26861 loss：0.238016 2021-08-22 03:31:47,092 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2235/26861 loss：0.148271 2021-08-22 03:31:48,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2236/26861 loss：0.891828 2021-08-22 03:31:50,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2237/26861 loss：0.665089 2021-08-22 03:31:51,926 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2238/26861 loss：0.355038 2021-08-22 03:31:53,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2239/26861 loss：0.375324 2021-08-22 03:31:55,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2240/26861 loss：0.421221 2021-08-22 03:31:56,751 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2241/26861 loss：0.416007 2021-08-22 03:31:58,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2242/26861 loss：0.354006 2021-08-22 03:31:59,959 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2243/26861 loss：0.320864 2021-08-22 03:32:01,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2244/26861 loss：0.197165 2021-08-22 03:32:03,176 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2245/26861 loss：0.064406 2021-08-22 03:32:04,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2246/26861 loss：0.652281 2021-08-22 03:32:06,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2247/26861 loss：0.373744 2021-08-22 03:32:07,996 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2248/26861 loss：0.016393 2021-08-22 03:32:09,599 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2249/26861 loss：0.019862 2021-08-22 03:32:11,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2250/26861 loss：0.039607 2021-08-22 03:32:12,863 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2251/26861 loss：0.031958 2021-08-22 03:32:14,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2252/26861 loss：0.566017 2021-08-22 03:32:16,075 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2253/26861 loss：0.525359 2021-08-22 03:32:17,675 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2254/26861 loss：0.263313 2021-08-22 03:32:19,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2255/26861 loss：0.079362 2021-08-22 03:32:20,897 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2256/26861 loss：0.601127 2021-08-22 03:32:22,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2257/26861 loss：0.190980 2021-08-22 03:32:24,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2258/26861 loss：0.352533 2021-08-22 03:32:25,734 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2259/26861 loss：0.131343 2021-08-22 03:32:27,333 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2260/26861 loss：0.645676 2021-08-22 03:32:28,931 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2261/26861 loss：0.569322 2021-08-22 03:32:30,540 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2262/26861 loss：0.429552 2021-08-22 03:32:32,148 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2263/26861 loss：0.081203 2021-08-22 03:32:33,741 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2264/26861 loss：0.347454 2021-08-22 03:32:35,350 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2265/26861 loss：0.235303 2021-08-22 03:32:36,963 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2266/26861 loss：0.780665 2021-08-22 03:32:38,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2267/26861 loss：0.367491 2021-08-22 03:32:40,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2268/26861 loss：0.057055 2021-08-22 03:32:41,785 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2269/26861 loss：0.094486 2021-08-22 03:32:43,390 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2270/26861 loss：0.649589 2021-08-22 03:32:44,997 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2271/26861 loss：0.500355 2021-08-22 03:32:46,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2272/26861 loss：0.798024 2021-08-22 03:32:48,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2273/26861 loss：0.626843 2021-08-22 03:32:49,801 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2274/26861 loss：0.259828 2021-08-22 03:32:51,409 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2275/26861 loss：0.150858 2021-08-22 03:32:53,011 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2276/26861 loss：0.525749 2021-08-22 03:32:54,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2277/26861 loss：0.395494 2021-08-22 03:32:56,220 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2278/26861 loss：0.082245 2021-08-22 03:32:57,834 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2279/26861 loss：0.073047 2021-08-22 03:32:59,447 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2280/26861 loss：0.298781 2021-08-22 03:33:01,057 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2281/26861 loss：0.152068 2021-08-22 03:33:02,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2282/26861 loss：0.137418 2021-08-22 03:33:04,278 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2283/26861 loss：0.074106 2021-08-22 03:33:05,881 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2284/26861 loss：0.562147 2021-08-22 03:33:07,491 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2285/26861 loss：0.403176 2021-08-22 03:33:09,090 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2286/26861 loss：0.315184 2021-08-22 03:33:10,695 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2287/26861 loss：0.170514 2021-08-22 03:33:12,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2288/26861 loss：0.224340 2021-08-22 03:33:13,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2289/26861 loss：0.325099 2021-08-22 03:33:15,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2290/26861 loss：0.299579 2021-08-22 03:33:17,125 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2291/26861 loss：0.160137 2021-08-22 03:33:18,738 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2292/26861 loss：1.496060 2021-08-22 03:33:20,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2293/26861 loss：0.484947 2021-08-22 03:33:21,962 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2294/26861 loss：0.056442 2021-08-22 03:33:23,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2295/26861 loss：0.054640 2021-08-22 03:33:25,171 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2296/26861 loss：1.160279 2021-08-22 03:33:26,774 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2297/26861 loss：0.123497 2021-08-22 03:33:28,366 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2298/26861 loss：0.303104 2021-08-22 03:33:29,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2299/26861 loss：0.173892 2021-08-22 03:33:31,574 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2300/26861 loss：0.682096 2021-08-22 03:33:33,183 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2301/26861 loss：0.512858 2021-08-22 03:33:34,786 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2302/26861 loss：0.311597 2021-08-22 03:33:36,393 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2303/26861 loss：0.253431 2021-08-22 03:33:38,001 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2304/26861 loss：0.336534 2021-08-22 03:33:39,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2305/26861 loss：0.312349 2021-08-22 03:33:41,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2306/26861 loss：1.861879 2021-08-22 03:33:42,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2307/26861 loss：1.406322 2021-08-22 03:33:44,473 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2308/26861 loss：0.025998 2021-08-22 03:33:46,076 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2309/26861 loss：0.047085 2021-08-22 03:33:47,686 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2310/26861 loss：0.206059 2021-08-22 03:33:49,287 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2311/26861 loss：0.093552 2021-08-22 03:33:50,896 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2312/26861 loss：0.378139 2021-08-22 03:33:52,505 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2313/26861 loss：0.288534 2021-08-22 03:33:54,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2314/26861 loss：0.093808 2021-08-22 03:33:55,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2315/26861 loss：0.039840 2021-08-22 03:33:57,332 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2316/26861 loss：1.187032 2021-08-22 03:33:58,932 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2317/26861 loss：0.821545 2021-08-22 03:34:00,539 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2318/26861 loss：0.612581 2021-08-22 03:34:02,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2319/26861 loss：0.447247 2021-08-22 03:34:03,755 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2320/26861 loss：0.402392 2021-08-22 03:34:05,366 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2321/26861 loss：0.293934 2021-08-22 03:34:06,972 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2322/26861 loss：0.497720 2021-08-22 03:34:08,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2323/26861 loss：0.423592 2021-08-22 03:34:10,182 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2324/26861 loss：0.101238 2021-08-22 03:34:11,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2325/26861 loss：0.070225 2021-08-22 03:34:13,393 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2326/26861 loss：0.172955 2021-08-22 03:34:15,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2327/26861 loss：0.151096 2021-08-22 03:34:16,631 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2328/26861 loss：0.216646 2021-08-22 03:34:18,273 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2329/26861 loss：0.080033 2021-08-22 03:34:19,868 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2330/26861 loss：1.182224 2021-08-22 03:34:21,472 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2331/26861 loss：0.371785 2021-08-22 03:34:23,078 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2332/26861 loss：0.254155 2021-08-22 03:34:24,690 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2333/26861 loss：0.188434 2021-08-22 03:34:26,297 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2334/26861 loss：0.500205 2021-08-22 03:34:27,902 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2335/26861 loss：0.372757 2021-08-22 03:34:29,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2336/26861 loss：0.015920 2021-08-22 03:34:31,148 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2337/26861 loss：0.011886 2021-08-22 03:34:32,757 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2338/26861 loss：0.224975 2021-08-22 03:34:34,355 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2339/26861 loss：0.327885 2021-08-22 03:34:35,970 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2340/26861 loss：0.038319 2021-08-22 03:34:37,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2341/26861 loss：0.033956 2021-08-22 03:34:39,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2342/26861 loss：0.093584 2021-08-22 03:34:40,792 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2343/26861 loss：0.194444 2021-08-22 03:34:42,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2344/26861 loss：0.426101 2021-08-22 03:34:44,009 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2345/26861 loss：0.414890 2021-08-22 03:34:45,608 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2346/26861 loss：0.304937 2021-08-22 03:34:47,222 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2347/26861 loss：0.103774 2021-08-22 03:34:48,831 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2348/26861 loss：1.109860 2021-08-22 03:34:50,448 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2349/26861 loss：0.868802 2021-08-22 03:34:52,054 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2350/26861 loss：0.213478 2021-08-22 03:34:53,659 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2351/26861 loss：0.159583 2021-08-22 03:34:55,268 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2352/26861 loss：0.436177 2021-08-22 03:34:56,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2353/26861 loss：0.351147 2021-08-22 03:34:58,480 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2354/26861 loss：0.501361 2021-08-22 03:35:00,080 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2355/26861 loss：0.430474 2021-08-22 03:35:01,692 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2356/26861 loss：0.651591 2021-08-22 03:35:03,299 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2357/26861 loss：0.478740 2021-08-22 03:35:04,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2358/26861 loss：0.879077 2021-08-22 03:35:06,510 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2359/26861 loss：0.871991 2021-08-22 03:35:08,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2360/26861 loss：0.039115 2021-08-22 03:35:09,721 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2361/26861 loss：0.039769 2021-08-22 03:35:11,327 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2362/26861 loss：0.016789 2021-08-22 03:35:12,931 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2363/26861 loss：0.016775 2021-08-22 03:35:14,534 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2364/26861 loss：0.507139 2021-08-22 03:35:16,143 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2365/26861 loss：0.612589 2021-08-22 03:35:17,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2366/26861 loss：1.375772 2021-08-22 03:35:19,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2367/26861 loss：0.908456 2021-08-22 03:35:20,958 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2368/26861 loss：0.606510 2021-08-22 03:35:22,565 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2369/26861 loss：0.660330 2021-08-22 03:35:24,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2370/26861 loss：0.165868 2021-08-22 03:35:25,775 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2371/26861 loss：0.124137 2021-08-22 03:35:27,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2372/26861 loss：0.487300 2021-08-22 03:35:28,983 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2373/26861 loss：0.431241 2021-08-22 03:35:30,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2374/26861 loss：0.650394 2021-08-22 03:35:32,201 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2375/26861 loss：0.502422 2021-08-22 03:35:33,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2376/26861 loss：0.511623 2021-08-22 03:35:35,421 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2377/26861 loss：0.271168 2021-08-22 03:35:37,027 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2378/26861 loss：0.461905 2021-08-22 03:35:38,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2379/26861 loss：0.329413 2021-08-22 03:35:40,247 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2380/26861 loss：0.338638 2021-08-22 03:35:41,868 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2381/26861 loss：0.237240 2021-08-22 03:35:43,473 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2382/26861 loss：0.323399 2021-08-22 03:35:45,073 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2383/26861 loss：0.287928 2021-08-22 03:35:46,680 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2384/26861 loss：0.308741 2021-08-22 03:35:48,286 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2385/26861 loss：0.278205 2021-08-22 03:35:49,884 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2386/26861 loss：0.152896 2021-08-22 03:35:51,489 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2387/26861 loss：0.077328 2021-08-22 03:35:53,104 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2388/26861 loss：0.291710 2021-08-22 03:35:54,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2389/26861 loss：0.277461 2021-08-22 03:35:56,318 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2390/26861 loss：0.057096 2021-08-22 03:35:57,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2391/26861 loss：0.091789 2021-08-22 03:35:59,536 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2392/26861 loss：0.441206 2021-08-22 03:36:01,152 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2393/26861 loss：0.293555 2021-08-22 03:36:02,760 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2394/26861 loss：0.031495 2021-08-22 03:36:04,379 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2395/26861 loss：0.038528 2021-08-22 03:36:05,979 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2396/26861 loss：0.052108 2021-08-22 03:36:07,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2397/26861 loss：0.049328 2021-08-22 03:36:09,197 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2398/26861 loss：0.042081 2021-08-22 03:36:10,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2399/26861 loss：0.047914 2021-08-22 03:36:12,418 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2400/26861 loss：0.439439 2021-08-22 03:36:14,024 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2401/26861 loss：0.349434 2021-08-22 03:36:15,640 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2402/26861 loss：0.605503 2021-08-22 03:36:17,250 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2403/26861 loss：0.582105 2021-08-22 03:36:18,857 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2404/26861 loss：0.371479 2021-08-22 03:36:20,464 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2405/26861 loss：0.381954 2021-08-22 03:36:22,072 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2406/26861 loss：0.143082 2021-08-22 03:36:23,678 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2407/26861 loss：0.135916 2021-08-22 03:36:25,277 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2408/26861 loss：0.371932 2021-08-22 03:36:26,881 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2409/26861 loss：0.345982 2021-08-22 03:36:28,496 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2410/26861 loss：0.242917 2021-08-22 03:36:30,105 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2411/26861 loss：0.353643 2021-08-22 03:36:31,726 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2412/26861 loss：0.122139 2021-08-22 03:36:33,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2413/26861 loss：0.112436 2021-08-22 03:36:34,967 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2414/26861 loss：0.417397 2021-08-22 03:36:36,580 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2415/26861 loss：0.288889 2021-08-22 03:36:38,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2416/26861 loss：0.204890 2021-08-22 03:36:39,786 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2417/26861 loss：0.254159 2021-08-22 03:36:41,387 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2418/26861 loss：0.054370 2021-08-22 03:36:42,996 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2419/26861 loss：0.068494 2021-08-22 03:36:44,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2420/26861 loss：0.224836 2021-08-22 03:36:46,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2421/26861 loss：0.189753 2021-08-22 03:36:47,806 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2422/26861 loss：0.316537 2021-08-22 03:36:49,410 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2423/26861 loss：0.223149 2021-08-22 03:36:51,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2424/26861 loss：0.651695 2021-08-22 03:36:52,634 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2425/26861 loss：0.166429 2021-08-22 03:36:54,241 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2426/26861 loss：0.148433 2021-08-22 03:36:55,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2427/26861 loss：0.171033 2021-08-22 03:36:57,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2428/26861 loss：0.257378 2021-08-22 03:36:59,066 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2429/26861 loss：0.244994 2021-08-22 03:37:00,671 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2430/26861 loss：0.031318 2021-08-22 03:37:02,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2431/26861 loss：0.062650 2021-08-22 03:37:03,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2432/26861 loss：0.378197 2021-08-22 03:37:05,492 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2433/26861 loss：0.302625 2021-08-22 03:37:07,092 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2434/26861 loss：0.457689 2021-08-22 03:37:08,696 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2435/26861 loss：0.124153 2021-08-22 03:37:10,310 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2436/26861 loss：0.076882 2021-08-22 03:37:11,914 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2437/26861 loss：0.063232 2021-08-22 03:37:13,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2438/26861 loss：0.267649 2021-08-22 03:37:15,121 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2439/26861 loss：0.123094 2021-08-22 03:37:16,727 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2440/26861 loss：0.339442 2021-08-22 03:37:18,332 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2441/26861 loss：0.145171 2021-08-22 03:37:19,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2442/26861 loss：0.325488 2021-08-22 03:37:21,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2443/26861 loss：0.333853 2021-08-22 03:37:23,162 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2444/26861 loss：0.186981 2021-08-22 03:37:24,770 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2445/26861 loss：0.092448 2021-08-22 03:37:26,369 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2446/26861 loss：0.247010 2021-08-22 03:37:27,979 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2447/26861 loss：0.029133 2021-08-22 03:37:29,588 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2448/26861 loss：0.544666 2021-08-22 03:37:31,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2449/26861 loss：0.512854 2021-08-22 03:37:32,809 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2450/26861 loss：0.607918 2021-08-22 03:37:34,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2451/26861 loss：0.544860 2021-08-22 03:37:36,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2452/26861 loss：0.527143 2021-08-22 03:37:37,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2453/26861 loss：0.480089 2021-08-22 03:37:39,249 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2454/26861 loss：0.103161 2021-08-22 03:37:40,867 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2455/26861 loss：0.032436 2021-08-22 03:37:42,491 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2456/26861 loss：0.312025 2021-08-22 03:37:44,112 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2457/26861 loss：0.135955 2021-08-22 03:37:45,704 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2458/26861 loss：0.050210 2021-08-22 03:37:47,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2459/26861 loss：0.060334 2021-08-22 03:37:48,930 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2460/26861 loss：0.120686 2021-08-22 03:37:50,545 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2461/26861 loss：0.047224 2021-08-22 03:37:52,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2462/26861 loss：1.504502 2021-08-22 03:37:53,743 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2463/26861 loss：1.211891 2021-08-22 03:37:55,349 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2464/26861 loss：0.604924 2021-08-22 03:37:56,949 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2465/26861 loss：0.511902 2021-08-22 03:37:58,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2466/26861 loss：0.431026 2021-08-22 03:38:00,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2467/26861 loss：0.381916 2021-08-22 03:38:01,779 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2468/26861 loss：0.039781 2021-08-22 03:38:03,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2469/26861 loss：0.030007 2021-08-22 03:38:04,983 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2470/26861 loss：1.664533 2021-08-22 03:38:06,590 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2471/26861 loss：0.767144 2021-08-22 03:38:08,200 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2472/26861 loss：0.259488 2021-08-22 03:38:09,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2473/26861 loss：0.258397 2021-08-22 03:38:11,412 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2474/26861 loss：0.465701 2021-08-22 03:38:13,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2475/26861 loss：0.224967 2021-08-22 03:38:14,622 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2476/26861 loss：0.552884 2021-08-22 03:38:16,226 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2477/26861 loss：0.688938 2021-08-22 03:38:17,836 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2478/26861 loss：0.367598 2021-08-22 03:38:19,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2479/26861 loss：0.299028 2021-08-22 03:38:21,054 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2480/26861 loss：0.171283 2021-08-22 03:38:22,658 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2481/26861 loss：0.169587 2021-08-22 03:38:24,260 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2482/26861 loss：0.035672 2021-08-22 03:38:25,854 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2483/26861 loss：0.034191 2021-08-22 03:38:27,470 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2484/26861 loss：0.743259 2021-08-22 03:38:29,082 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2485/26861 loss：0.757890 2021-08-22 03:38:30,691 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2486/26861 loss：0.175022 2021-08-22 03:38:32,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2487/26861 loss：0.117641 2021-08-22 03:38:33,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2488/26861 loss：0.464245 2021-08-22 03:38:35,511 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2489/26861 loss：0.464391 2021-08-22 03:38:37,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2490/26861 loss：0.409921 2021-08-22 03:38:38,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2491/26861 loss：0.320904 2021-08-22 03:38:40,329 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2492/26861 loss：0.882600 2021-08-22 03:38:41,934 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2493/26861 loss：0.454669 2021-08-22 03:38:43,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2494/26861 loss：0.668765 2021-08-22 03:38:45,136 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2495/26861 loss：0.593935 2021-08-22 03:38:46,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2496/26861 loss：0.743343 2021-08-22 03:38:48,355 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2497/26861 loss：0.676668 2021-08-22 03:38:49,963 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2498/26861 loss：0.319935 2021-08-22 03:38:51,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2499/26861 loss：0.264784 2021-08-22 03:38:53,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2500/26861 loss：0.598177 2021-08-22 03:38:54,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2501/26861 loss：0.517234 2021-08-22 03:38:56,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2502/26861 loss：0.076427 2021-08-22 03:38:57,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2503/26861 loss：0.080678 2021-08-22 03:38:59,599 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2504/26861 loss：0.032833 2021-08-22 03:39:01,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2505/26861 loss：0.033556 2021-08-22 03:39:02,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2506/26861 loss：0.245045 2021-08-22 03:39:04,449 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2507/26861 loss：0.196152 2021-08-22 03:39:06,071 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2508/26861 loss：0.029935 2021-08-22 03:39:07,691 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2509/26861 loss：0.037528 2021-08-22 03:39:09,323 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2510/26861 loss：0.672873 2021-08-22 03:39:10,957 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2511/26861 loss：0.053612 2021-08-22 03:39:12,582 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2512/26861 loss：0.368932 2021-08-22 03:39:14,200 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2513/26861 loss：0.343318 2021-08-22 03:39:15,834 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2514/26861 loss：0.658532 2021-08-22 03:39:17,447 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2515/26861 loss：0.544475 2021-08-22 03:39:19,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2516/26861 loss：0.788407 2021-08-22 03:39:20,682 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2517/26861 loss：0.666202 2021-08-22 03:39:22,297 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2518/26861 loss：0.602352 2021-08-22 03:39:23,901 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2519/26861 loss：0.334594 2021-08-22 03:39:25,512 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2520/26861 loss：0.367209 2021-08-22 03:39:27,119 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2521/26861 loss：0.390507 2021-08-22 03:39:28,723 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2522/26861 loss：0.704410 2021-08-22 03:39:30,331 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2523/26861 loss：0.106928 2021-08-22 03:39:31,927 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2524/26861 loss：0.225692 2021-08-22 03:39:33,534 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2525/26861 loss：0.235513 2021-08-22 03:39:35,136 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2526/26861 loss：0.231357 2021-08-22 03:39:36,737 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2527/26861 loss：0.280423 2021-08-22 03:39:38,350 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2528/26861 loss：0.320778 2021-08-22 03:39:39,961 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2529/26861 loss：0.260846 2021-08-22 03:39:41,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2530/26861 loss：0.489246 2021-08-22 03:39:43,182 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2531/26861 loss：0.649068 2021-08-22 03:39:44,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2532/26861 loss：0.396940 2021-08-22 03:39:46,391 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2533/26861 loss：0.375918 2021-08-22 03:39:48,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2534/26861 loss：0.033936 2021-08-22 03:39:49,642 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2535/26861 loss：0.035839 2021-08-22 03:39:51,273 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2536/26861 loss：0.026929 2021-08-22 03:39:52,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2537/26861 loss：0.025485 2021-08-22 03:39:54,517 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2538/26861 loss：0.254866 2021-08-22 03:39:56,126 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2539/26861 loss：0.237615 2021-08-22 03:39:57,727 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2540/26861 loss：0.152894 2021-08-22 03:39:59,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2541/26861 loss：0.204187 2021-08-22 03:40:00,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2542/26861 loss：0.015476 2021-08-22 03:40:02,556 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2543/26861 loss：0.023672 2021-08-22 03:40:04,158 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2544/26861 loss：0.049083 2021-08-22 03:40:05,777 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2545/26861 loss：0.032861 2021-08-22 03:40:07,380 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2546/26861 loss：0.022444 2021-08-22 03:40:08,987 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2547/26861 loss：0.019822 2021-08-22 03:40:10,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2548/26861 loss：0.429181 2021-08-22 03:40:12,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2549/26861 loss：0.371168 2021-08-22 03:40:13,808 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2550/26861 loss：0.056569 2021-08-22 03:40:15,412 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2551/26861 loss：0.036829 2021-08-22 03:40:17,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2552/26861 loss：0.050250 2021-08-22 03:40:18,622 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2553/26861 loss：0.066071 2021-08-22 03:40:20,233 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2554/26861 loss：0.563695 2021-08-22 03:40:21,845 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2555/26861 loss：0.517922 2021-08-22 03:40:23,449 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2556/26861 loss：0.809335 2021-08-22 03:40:25,046 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2557/26861 loss：0.534629 2021-08-22 03:40:26,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2558/26861 loss：1.900605 2021-08-22 03:40:28,256 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2559/26861 loss：1.504758 2021-08-22 03:40:29,863 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2560/26861 loss：0.095727 2021-08-22 03:40:31,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2561/26861 loss：0.108946 2021-08-22 03:40:33,092 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2562/26861 loss：0.028273 2021-08-22 03:40:34,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2563/26861 loss：0.017388 2021-08-22 03:40:36,296 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2564/26861 loss：0.112606 2021-08-22 03:40:37,898 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2565/26861 loss：0.175369 2021-08-22 03:40:39,504 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2566/26861 loss：0.243725 2021-08-22 03:40:41,118 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2567/26861 loss：0.246769 2021-08-22 03:40:42,719 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2568/26861 loss：0.222777 2021-08-22 03:40:44,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2569/26861 loss：0.219211 2021-08-22 03:40:45,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2570/26861 loss：0.111387 2021-08-22 03:40:47,530 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2571/26861 loss：0.092751 2021-08-22 03:40:49,145 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2572/26861 loss：0.096646 2021-08-22 03:40:50,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2573/26861 loss：0.094183 2021-08-22 03:40:52,357 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2574/26861 loss：0.027700 2021-08-22 03:40:53,962 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2575/26861 loss：0.033000 2021-08-22 03:40:55,562 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2576/26861 loss：0.257931 2021-08-22 03:40:57,173 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2577/26861 loss：0.212513 2021-08-22 03:40:58,779 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2578/26861 loss：0.766360 2021-08-22 03:41:00,391 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2579/26861 loss：0.688990 2021-08-22 03:41:01,995 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2580/26861 loss：0.192179 2021-08-22 03:41:03,600 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2581/26861 loss：0.187089 2021-08-22 03:41:05,209 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2582/26861 loss：0.051788 2021-08-22 03:41:06,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2583/26861 loss：0.031814 2021-08-22 03:41:08,425 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2584/26861 loss：1.041969 2021-08-22 03:41:10,022 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2585/26861 loss：0.970377 2021-08-22 03:41:11,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2586/26861 loss：2.426498 2021-08-22 03:41:13,234 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2587/26861 loss：1.965332 2021-08-22 03:41:14,837 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2588/26861 loss：0.509552 2021-08-22 03:41:16,447 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2589/26861 loss：0.307866 2021-08-22 03:41:18,057 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2590/26861 loss：0.214381 2021-08-22 03:41:19,668 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2591/26861 loss：0.300600 2021-08-22 03:41:21,273 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2592/26861 loss：0.665428 2021-08-22 03:41:22,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2593/26861 loss：0.708133 2021-08-22 03:41:24,489 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2594/26861 loss：0.265546 2021-08-22 03:41:26,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2595/26861 loss：0.347135 2021-08-22 03:41:27,700 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2596/26861 loss：0.372292 2021-08-22 03:41:29,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2597/26861 loss：0.316233 2021-08-22 03:41:30,919 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2598/26861 loss：0.263761 2021-08-22 03:41:32,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2599/26861 loss：0.169792 2021-08-22 03:41:34,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2600/26861 loss：0.992998 2021-08-22 03:41:35,738 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2601/26861 loss：0.909095 2021-08-22 03:41:37,336 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2602/26861 loss：0.214831 2021-08-22 03:41:38,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2603/26861 loss：0.217944 2021-08-22 03:41:40,542 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2604/26861 loss：0.054405 2021-08-22 03:41:42,138 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2605/26861 loss：0.037158 2021-08-22 03:41:43,743 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2606/26861 loss：0.170671 2021-08-22 03:41:45,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2607/26861 loss：0.235747 2021-08-22 03:41:46,945 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2608/26861 loss：0.063867 2021-08-22 03:41:48,542 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2609/26861 loss：0.031475 2021-08-22 03:41:50,155 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2610/26861 loss：0.685251 2021-08-22 03:41:51,765 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2611/26861 loss：0.716080 2021-08-22 03:41:53,368 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2612/26861 loss：0.541388 2021-08-22 03:41:54,978 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2613/26861 loss：0.643300 2021-08-22 03:41:56,578 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2614/26861 loss：0.318277 2021-08-22 03:41:58,191 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2615/26861 loss：0.148361 2021-08-22 03:41:59,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2616/26861 loss：0.749468 2021-08-22 03:42:01,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2617/26861 loss：0.392500 2021-08-22 03:42:03,027 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2618/26861 loss：0.466295 2021-08-22 03:42:04,652 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2619/26861 loss：0.366372 2021-08-22 03:42:06,275 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2620/26861 loss：0.387972 2021-08-22 03:42:07,907 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2621/26861 loss：0.029575 2021-08-22 03:42:09,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2622/26861 loss：0.184897 2021-08-22 03:42:11,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2623/26861 loss：0.218001 2021-08-22 03:42:12,716 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2624/26861 loss：0.231172 2021-08-22 03:42:14,323 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2625/26861 loss：0.185489 2021-08-22 03:42:15,926 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2626/26861 loss：0.367382 2021-08-22 03:42:17,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2627/26861 loss：0.287046 2021-08-22 03:42:19,156 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2628/26861 loss：0.477296 2021-08-22 03:42:20,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2629/26861 loss：0.373720 2021-08-22 03:42:22,370 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2630/26861 loss：0.332879 2021-08-22 03:42:23,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2631/26861 loss：0.174355 2021-08-22 03:42:25,574 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2632/26861 loss：0.260703 2021-08-22 03:42:27,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2633/26861 loss：0.278497 2021-08-22 03:42:28,792 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2634/26861 loss：0.108095 2021-08-22 03:42:30,401 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2635/26861 loss：0.062847 2021-08-22 03:42:32,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2636/26861 loss：0.260400 2021-08-22 03:42:33,610 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2637/26861 loss：0.189535 2021-08-22 03:42:35,217 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2638/26861 loss：0.208144 2021-08-22 03:42:36,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2639/26861 loss：0.085492 2021-08-22 03:42:38,427 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2640/26861 loss：0.303075 2021-08-22 03:42:40,033 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2641/26861 loss：0.275972 2021-08-22 03:42:41,643 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2642/26861 loss：0.717383 2021-08-22 03:42:43,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2643/26861 loss：0.332297 2021-08-22 03:42:44,844 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2644/26861 loss：0.217339 2021-08-22 03:42:46,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2645/26861 loss：0.175728 2021-08-22 03:42:48,067 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2646/26861 loss：0.052289 2021-08-22 03:42:49,682 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2647/26861 loss：0.037723 2021-08-22 03:42:51,288 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2648/26861 loss：0.180832 2021-08-22 03:42:52,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2649/26861 loss：0.128478 2021-08-22 03:42:54,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2650/26861 loss：0.599091 2021-08-22 03:42:56,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2651/26861 loss：0.447136 2021-08-22 03:42:57,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2652/26861 loss：0.020772 2021-08-22 03:42:59,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2653/26861 loss：0.015098 2021-08-22 03:43:00,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2654/26861 loss：0.230108 2021-08-22 03:43:02,524 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2655/26861 loss：0.141605 2021-08-22 03:43:04,133 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2656/26861 loss：0.046544 2021-08-22 03:43:05,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2657/26861 loss：0.026909 2021-08-22 03:43:07,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2658/26861 loss：0.010465 2021-08-22 03:43:08,953 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2659/26861 loss：0.014810 2021-08-22 03:43:10,560 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2660/26861 loss：0.554829 2021-08-22 03:43:12,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2661/26861 loss：0.382943 2021-08-22 03:43:13,796 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2662/26861 loss：0.034066 2021-08-22 03:43:15,427 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2663/26861 loss：0.066079 2021-08-22 03:43:17,037 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2664/26861 loss：0.220622 2021-08-22 03:43:18,648 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2665/26861 loss：0.193798 2021-08-22 03:43:20,254 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2666/26861 loss：0.218216 2021-08-22 03:43:21,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2667/26861 loss：0.117753 2021-08-22 03:43:23,462 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2668/26861 loss：0.016574 2021-08-22 03:43:25,067 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2669/26861 loss：0.016592 2021-08-22 03:43:26,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2670/26861 loss：0.118620 2021-08-22 03:43:28,282 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2671/26861 loss：0.173832 2021-08-22 03:43:29,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2672/26861 loss：0.198444 2021-08-22 03:43:31,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2673/26861 loss：0.166379 2021-08-22 03:43:33,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2674/26861 loss：0.235213 2021-08-22 03:43:34,702 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2675/26861 loss：0.137133 2021-08-22 03:43:36,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2676/26861 loss：0.558544 2021-08-22 03:43:37,923 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2677/26861 loss：0.386168 2021-08-22 03:43:39,529 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2678/26861 loss：0.903596 2021-08-22 03:43:41,133 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2679/26861 loss：0.699155 2021-08-22 03:43:42,752 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2680/26861 loss：0.300450 2021-08-22 03:43:44,371 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2681/26861 loss：0.091561 2021-08-22 03:43:45,990 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2682/26861 loss：0.051893 2021-08-22 03:43:47,617 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2683/26861 loss：0.025159 2021-08-22 03:43:49,223 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2684/26861 loss：0.336886 2021-08-22 03:43:50,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2685/26861 loss：0.080883 2021-08-22 03:43:52,425 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2686/26861 loss：0.193857 2021-08-22 03:43:54,037 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2687/26861 loss：0.243967 2021-08-22 03:43:55,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2688/26861 loss：1.060159 2021-08-22 03:43:57,249 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2689/26861 loss：0.392852 2021-08-22 03:43:58,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2690/26861 loss：0.584413 2021-08-22 03:44:00,463 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2691/26861 loss：0.277886 2021-08-22 03:44:02,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2692/26861 loss：0.110567 2021-08-22 03:44:03,731 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2693/26861 loss：0.121774 2021-08-22 03:44:05,367 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2694/26861 loss：0.008670 2021-08-22 03:44:07,010 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2695/26861 loss：0.008037 2021-08-22 03:44:08,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2696/26861 loss：0.243284 2021-08-22 03:44:10,245 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2697/26861 loss：0.095848 2021-08-22 03:44:11,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2698/26861 loss：1.248783 2021-08-22 03:44:13,508 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2699/26861 loss：0.549633 2021-08-22 03:44:15,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2700/26861 loss：0.351305 2021-08-22 03:44:16,728 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2701/26861 loss：0.241653 2021-08-22 03:44:18,335 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2702/26861 loss：0.101750 2021-08-22 03:44:19,936 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2703/26861 loss：0.159193 2021-08-22 03:44:21,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2704/26861 loss：0.271079 2021-08-22 03:44:23,156 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2705/26861 loss：0.237911 2021-08-22 03:44:24,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2706/26861 loss：0.773264 2021-08-22 03:44:26,379 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2707/26861 loss：0.497737 2021-08-22 03:44:27,968 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2708/26861 loss：0.146698 2021-08-22 03:44:29,576 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2709/26861 loss：0.196124 2021-08-22 03:44:31,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2710/26861 loss：0.030831 2021-08-22 03:44:32,794 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2711/26861 loss：0.028785 2021-08-22 03:44:34,402 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2712/26861 loss：0.262322 2021-08-22 03:44:36,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2713/26861 loss：0.121074 2021-08-22 03:44:37,606 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2714/26861 loss：0.158847 2021-08-22 03:44:39,213 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2715/26861 loss：0.027554 2021-08-22 03:44:40,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2716/26861 loss：0.580420 2021-08-22 03:44:42,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2717/26861 loss：0.056166 2021-08-22 03:44:44,033 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2718/26861 loss：0.920262 2021-08-22 03:44:45,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2719/26861 loss：0.531532 2021-08-22 03:44:47,239 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2720/26861 loss：0.451263 2021-08-22 03:44:48,852 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2721/26861 loss：0.255343 2021-08-22 03:44:50,459 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2722/26861 loss：0.550529 2021-08-22 03:44:52,064 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2723/26861 loss：0.463964 2021-08-22 03:44:53,660 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2724/26861 loss：0.088125 2021-08-22 03:44:55,263 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2725/26861 loss：0.069374 2021-08-22 03:44:56,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2726/26861 loss：0.038699 2021-08-22 03:44:58,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2727/26861 loss：0.031921 2021-08-22 03:45:00,085 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2728/26861 loss：0.013241 2021-08-22 03:45:01,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2729/26861 loss：0.008866 2021-08-22 03:45:03,295 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2730/26861 loss：0.141192 2021-08-22 03:45:04,909 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2731/26861 loss：0.151935 2021-08-22 03:45:06,521 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2732/26861 loss：0.361607 2021-08-22 03:45:08,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2733/26861 loss：0.143234 2021-08-22 03:45:09,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2734/26861 loss：0.393050 2021-08-22 03:45:11,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2735/26861 loss：0.513362 2021-08-22 03:45:13,008 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2736/26861 loss：0.062686 2021-08-22 03:45:14,627 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2737/26861 loss：0.181659 2021-08-22 03:45:16,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2738/26861 loss：0.229990 2021-08-22 03:45:17,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2739/26861 loss：0.139351 2021-08-22 03:45:19,497 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2740/26861 loss：1.339832 2021-08-22 03:45:21,103 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2741/26861 loss：1.255309 2021-08-22 03:45:22,718 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2742/26861 loss：0.158898 2021-08-22 03:45:24,335 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2743/26861 loss：0.096065 2021-08-22 03:45:25,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2744/26861 loss：0.297817 2021-08-22 03:45:27,553 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2745/26861 loss：0.166713 2021-08-22 03:45:29,163 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2746/26861 loss：0.028726 2021-08-22 03:45:30,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2747/26861 loss：0.035017 2021-08-22 03:45:32,362 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2748/26861 loss：0.358382 2021-08-22 03:45:33,962 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2749/26861 loss：0.314283 2021-08-22 03:45:35,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2750/26861 loss：0.018156 2021-08-22 03:45:37,197 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2751/26861 loss：0.012685 2021-08-22 03:45:38,804 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2752/26861 loss：0.479640 2021-08-22 03:45:40,412 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2753/26861 loss：0.278716 2021-08-22 03:45:42,017 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2754/26861 loss：0.110866 2021-08-22 03:45:43,624 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2755/26861 loss：0.039114 2021-08-22 03:45:45,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2756/26861 loss：0.057254 2021-08-22 03:45:46,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2757/26861 loss：0.085471 2021-08-22 03:45:48,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2758/26861 loss：0.260326 2021-08-22 03:45:50,095 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2759/26861 loss：0.245955 2021-08-22 03:45:51,701 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2760/26861 loss：0.243175 2021-08-22 03:45:53,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2761/26861 loss：0.205209 2021-08-22 03:45:54,923 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2762/26861 loss：0.310614 2021-08-22 03:45:56,529 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2763/26861 loss：0.161588 2021-08-22 03:45:58,143 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2764/26861 loss：0.410096 2021-08-22 03:45:59,758 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2765/26861 loss：0.249807 2021-08-22 03:46:01,370 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2766/26861 loss：0.046461 2021-08-22 03:46:02,979 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2767/26861 loss：0.058478 2021-08-22 03:46:04,589 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2768/26861 loss：0.358037 2021-08-22 03:46:06,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2769/26861 loss：0.323538 2021-08-22 03:46:07,815 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2770/26861 loss：0.226229 2021-08-22 03:46:09,432 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2771/26861 loss：0.269327 2021-08-22 03:46:11,036 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2772/26861 loss：0.123070 2021-08-22 03:46:12,646 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2773/26861 loss：0.117995 2021-08-22 03:46:14,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2774/26861 loss：0.070174 2021-08-22 03:46:15,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2775/26861 loss：0.093989 2021-08-22 03:46:17,489 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2776/26861 loss：0.762050 2021-08-22 03:46:19,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2777/26861 loss：0.394316 2021-08-22 03:46:20,763 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2778/26861 loss：0.239992 2021-08-22 03:46:22,389 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2779/26861 loss：0.124775 2021-08-22 03:46:23,992 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2780/26861 loss：0.127118 2021-08-22 03:46:25,592 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2781/26861 loss：0.065329 2021-08-22 03:46:27,193 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2782/26861 loss：0.064113 2021-08-22 03:46:28,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2783/26861 loss：0.074442 2021-08-22 03:46:30,403 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2784/26861 loss：0.685407 2021-08-22 03:46:32,016 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2785/26861 loss：0.533917 2021-08-22 03:46:33,623 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2786/26861 loss：0.535417 2021-08-22 03:46:35,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2787/26861 loss：0.303372 2021-08-22 03:46:36,830 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2788/26861 loss：1.398702 2021-08-22 03:46:38,432 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2789/26861 loss：1.539402 2021-08-22 03:46:40,035 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2790/26861 loss：0.241594 2021-08-22 03:46:41,630 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2791/26861 loss：0.252139 2021-08-22 03:46:43,235 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2792/26861 loss：0.167513 2021-08-22 03:46:44,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2793/26861 loss：0.086715 2021-08-22 03:46:46,449 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2794/26861 loss：0.721584 2021-08-22 03:46:48,062 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2795/26861 loss：0.550037 2021-08-22 03:46:49,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2796/26861 loss：0.619704 2021-08-22 03:46:51,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2797/26861 loss：0.429614 2021-08-22 03:46:52,888 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2798/26861 loss：0.111261 2021-08-22 03:46:54,494 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2799/26861 loss：0.085834 2021-08-22 03:46:56,103 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2800/26861 loss：0.751765 2021-08-22 03:46:57,709 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2801/26861 loss：0.778864 2021-08-22 03:46:59,324 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2802/26861 loss：0.593972 2021-08-22 03:47:00,936 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2803/26861 loss：0.665999 2021-08-22 03:47:02,568 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2804/26861 loss：0.546340 2021-08-22 03:47:04,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2805/26861 loss：0.523465 2021-08-22 03:47:05,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2806/26861 loss：1.182882 2021-08-22 03:47:07,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2807/26861 loss：0.773194 2021-08-22 03:47:09,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2808/26861 loss：0.152760 2021-08-22 03:47:10,684 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2809/26861 loss：0.038553 2021-08-22 03:47:12,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2810/26861 loss：0.673774 2021-08-22 03:47:13,891 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2811/26861 loss：0.531507 2021-08-22 03:47:15,486 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2812/26861 loss：0.464174 2021-08-22 03:47:17,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2813/26861 loss：0.342453 2021-08-22 03:47:18,697 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2814/26861 loss：0.230081 2021-08-22 03:47:20,311 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2815/26861 loss：0.114304 2021-08-22 03:47:21,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2816/26861 loss：0.602004 2021-08-22 03:47:23,511 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2817/26861 loss：0.340002 2021-08-22 03:47:25,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2818/26861 loss：0.202064 2021-08-22 03:47:26,735 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2819/26861 loss：0.119779 2021-08-22 03:47:28,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2820/26861 loss：0.434226 2021-08-22 03:47:29,947 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2821/26861 loss：0.128397 2021-08-22 03:47:31,556 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2822/26861 loss：0.752623 2021-08-22 03:47:33,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2823/26861 loss：0.630291 2021-08-22 03:47:34,765 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2824/26861 loss：1.633426 2021-08-22 03:47:36,370 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2825/26861 loss：1.105770 2021-08-22 03:47:37,986 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2826/26861 loss：0.099718 2021-08-22 03:47:39,598 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2827/26861 loss：0.069018 2021-08-22 03:47:41,224 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2828/26861 loss：0.182243 2021-08-22 03:47:42,858 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2829/26861 loss：0.166737 2021-08-22 03:47:44,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2830/26861 loss：0.179942 2021-08-22 03:47:46,050 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2831/26861 loss：0.263626 2021-08-22 03:47:47,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2832/26861 loss：0.144673 2021-08-22 03:47:49,265 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2833/26861 loss：0.051408 2021-08-22 03:47:50,877 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2834/26861 loss：0.363225 2021-08-22 03:47:52,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2835/26861 loss：0.270230 2021-08-22 03:47:54,094 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2836/26861 loss：0.045346 2021-08-22 03:47:55,701 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2837/26861 loss：0.037047 2021-08-22 03:47:57,313 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2838/26861 loss：0.955287 2021-08-22 03:47:58,920 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2839/26861 loss：0.791070 2021-08-22 03:48:00,528 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2840/26861 loss：0.149821 2021-08-22 03:48:02,135 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2841/26861 loss：0.096156 2021-08-22 03:48:03,737 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2842/26861 loss：0.010297 2021-08-22 03:48:05,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2843/26861 loss：0.009528 2021-08-22 03:48:06,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2844/26861 loss：0.077263 2021-08-22 03:48:08,553 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2845/26861 loss：0.046866 2021-08-22 03:48:10,158 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2846/26861 loss：0.118808 2021-08-22 03:48:11,765 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2847/26861 loss：0.193275 2021-08-22 03:48:13,362 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2848/26861 loss：0.030917 2021-08-22 03:48:14,970 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2849/26861 loss：0.029016 2021-08-22 03:48:16,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2850/26861 loss：2.220992 2021-08-22 03:48:18,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2851/26861 loss：0.972015 2021-08-22 03:48:19,806 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2852/26861 loss：0.544218 2021-08-22 03:48:21,427 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2853/26861 loss：0.182515 2021-08-22 03:48:23,040 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2854/26861 loss：0.625369 2021-08-22 03:48:24,656 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2855/26861 loss：0.550798 2021-08-22 03:48:26,268 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2856/26861 loss：0.634906 2021-08-22 03:48:27,883 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2857/26861 loss：0.332370 2021-08-22 03:48:29,486 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2858/26861 loss：0.143499 2021-08-22 03:48:31,086 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2859/26861 loss：0.076082 2021-08-22 03:48:32,699 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2860/26861 loss：0.846604 2021-08-22 03:48:34,306 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2861/26861 loss：0.675372 2021-08-22 03:48:35,909 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2862/26861 loss：0.294695 2021-08-22 03:48:37,516 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2863/26861 loss：0.217592 2021-08-22 03:48:39,124 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2864/26861 loss：2.096710 2021-08-22 03:48:40,729 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2865/26861 loss：1.796417 2021-08-22 03:48:42,334 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2866/26861 loss：0.500493 2021-08-22 03:48:43,941 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2867/26861 loss：0.307592 2021-08-22 03:48:45,539 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2868/26861 loss：0.860011 2021-08-22 03:48:47,145 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2869/26861 loss：0.433331 2021-08-22 03:48:48,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2870/26861 loss：0.622786 2021-08-22 03:48:50,361 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2871/26861 loss：0.321654 2021-08-22 03:48:51,970 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2872/26861 loss：0.124542 2021-08-22 03:48:53,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2873/26861 loss：0.052219 2021-08-22 03:48:55,176 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2874/26861 loss：0.048266 2021-08-22 03:48:56,790 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2875/26861 loss：0.053433 2021-08-22 03:48:58,418 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2876/26861 loss：0.016543 2021-08-22 03:49:00,047 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2877/26861 loss：0.014153 2021-08-22 03:49:01,654 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2878/26861 loss：0.250337 2021-08-22 03:49:03,264 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2879/26861 loss：0.286274 2021-08-22 03:49:04,878 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2880/26861 loss：0.167725 2021-08-22 03:49:06,486 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2881/26861 loss：0.103529 2021-08-22 03:49:08,091 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2882/26861 loss：0.591058 2021-08-22 03:49:09,694 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2883/26861 loss：0.513939 2021-08-22 03:49:11,307 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2884/26861 loss：1.304875 2021-08-22 03:49:12,913 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2885/26861 loss：0.189752 2021-08-22 03:49:14,509 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2886/26861 loss：0.644444 2021-08-22 03:49:16,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2887/26861 loss：0.720281 2021-08-22 03:49:17,730 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2888/26861 loss：0.155807 2021-08-22 03:49:19,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2889/26861 loss：0.174281 2021-08-22 03:49:20,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2890/26861 loss：1.129564 2021-08-22 03:49:22,544 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2891/26861 loss：1.166567 2021-08-22 03:49:24,170 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2892/26861 loss：0.017180 2021-08-22 03:49:25,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2893/26861 loss：0.019495 2021-08-22 03:49:27,407 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2894/26861 loss：1.063826 2021-08-22 03:49:29,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2895/26861 loss：1.045640 2021-08-22 03:49:30,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2896/26861 loss：0.638829 2021-08-22 03:49:32,249 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2897/26861 loss：0.482469 2021-08-22 03:49:33,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2898/26861 loss：0.063308 2021-08-22 03:49:35,453 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2899/26861 loss：0.048505 2021-08-22 03:49:37,064 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2900/26861 loss：0.703142 2021-08-22 03:49:38,671 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2901/26861 loss：0.549163 2021-08-22 03:49:40,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2902/26861 loss：1.026686 2021-08-22 03:49:41,902 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2903/26861 loss：0.783711 2021-08-22 03:49:43,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2904/26861 loss：1.253279 2021-08-22 03:49:45,130 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2905/26861 loss：0.981652 2021-08-22 03:49:46,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2906/26861 loss：0.398123 2021-08-22 03:49:48,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2907/26861 loss：0.424278 2021-08-22 03:49:49,962 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2908/26861 loss：0.170788 2021-08-22 03:49:51,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2909/26861 loss：0.190219 2021-08-22 03:49:53,178 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2910/26861 loss：0.114757 2021-08-22 03:49:54,781 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2911/26861 loss：0.054230 2021-08-22 03:49:56,401 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2912/26861 loss：0.127129 2021-08-22 03:49:58,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2913/26861 loss：0.109265 2021-08-22 03:49:59,629 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2914/26861 loss：0.402550 2021-08-22 03:50:01,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2915/26861 loss：0.141934 2021-08-22 03:50:02,857 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2916/26861 loss：0.434997 2021-08-22 03:50:04,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2917/26861 loss：0.187707 2021-08-22 03:50:06,077 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2918/26861 loss：0.045932 2021-08-22 03:50:07,686 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2919/26861 loss：0.061330 2021-08-22 03:50:09,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2920/26861 loss：0.452543 2021-08-22 03:50:10,899 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2921/26861 loss：0.365088 2021-08-22 03:50:12,499 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2922/26861 loss：0.004059 2021-08-22 03:50:14,102 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2923/26861 loss：0.006042 2021-08-22 03:50:15,711 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2924/26861 loss：0.508920 2021-08-22 03:50:17,318 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2925/26861 loss：0.448455 2021-08-22 03:50:18,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2926/26861 loss：0.312408 2021-08-22 03:50:20,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2927/26861 loss：0.217373 2021-08-22 03:50:22,134 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2928/26861 loss：0.575220 2021-08-22 03:50:23,745 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2929/26861 loss：0.368155 2021-08-22 03:50:25,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2930/26861 loss：0.098860 2021-08-22 03:50:26,953 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2931/26861 loss：0.115090 2021-08-22 03:50:28,558 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2932/26861 loss：0.295371 2021-08-22 03:50:30,167 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2933/26861 loss：0.261255 2021-08-22 03:50:31,764 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2934/26861 loss：0.425070 2021-08-22 03:50:33,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2935/26861 loss：0.327352 2021-08-22 03:50:34,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2936/26861 loss：0.127382 2021-08-22 03:50:36,590 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2937/26861 loss：0.235141 2021-08-22 03:50:38,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2938/26861 loss：0.046895 2021-08-22 03:50:39,816 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2939/26861 loss：0.041818 2021-08-22 03:50:41,422 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2940/26861 loss：0.432287 2021-08-22 03:50:43,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2941/26861 loss：0.401564 2021-08-22 03:50:44,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2942/26861 loss：0.072574 2021-08-22 03:50:46,227 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2943/26861 loss：0.049315 2021-08-22 03:50:47,839 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2944/26861 loss：0.187691 2021-08-22 03:50:49,450 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2945/26861 loss：0.171080 2021-08-22 03:50:51,054 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2946/26861 loss：0.076380 2021-08-22 03:50:52,658 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2947/26861 loss：0.067217 2021-08-22 03:50:54,266 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2948/26861 loss：0.077300 2021-08-22 03:50:55,871 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2949/26861 loss：0.060461 2021-08-22 03:50:57,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2950/26861 loss：0.202608 2021-08-22 03:50:59,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2951/26861 loss：0.201339 2021-08-22 03:51:00,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2952/26861 loss：0.079358 2021-08-22 03:51:02,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2953/26861 loss：0.051979 2021-08-22 03:51:03,903 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2954/26861 loss：0.602390 2021-08-22 03:51:05,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2955/26861 loss：0.514409 2021-08-22 03:51:07,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2956/26861 loss：0.008116 2021-08-22 03:51:08,721 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2957/26861 loss：0.007983 2021-08-22 03:51:10,330 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2958/26861 loss：0.161937 2021-08-22 03:51:11,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2959/26861 loss：0.114544 2021-08-22 03:51:13,540 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2960/26861 loss：0.575486 2021-08-22 03:51:15,146 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2961/26861 loss：0.642713 2021-08-22 03:51:16,747 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2962/26861 loss：0.027517 2021-08-22 03:51:18,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2963/26861 loss：0.042400 2021-08-22 03:51:19,959 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2964/26861 loss：0.262021 2021-08-22 03:51:21,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2965/26861 loss：0.250383 2021-08-22 03:51:23,175 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2966/26861 loss：0.067066 2021-08-22 03:51:24,774 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2967/26861 loss：0.043807 2021-08-22 03:51:26,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2968/26861 loss：0.543055 2021-08-22 03:51:27,988 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2969/26861 loss：0.258490 2021-08-22 03:51:29,598 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2970/26861 loss：0.030221 2021-08-22 03:51:31,200 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2971/26861 loss：0.032148 2021-08-22 03:51:32,815 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2972/26861 loss：0.150590 2021-08-22 03:51:34,430 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2973/26861 loss：0.175811 2021-08-22 03:51:36,045 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2974/26861 loss：0.260752 2021-08-22 03:51:37,652 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2975/26861 loss：0.161322 2021-08-22 03:51:39,250 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2976/26861 loss：0.176292 2021-08-22 03:51:40,849 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2977/26861 loss：0.157783 2021-08-22 03:51:42,466 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2978/26861 loss：0.119634 2021-08-22 03:51:44,083 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2979/26861 loss：0.124369 2021-08-22 03:51:45,690 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2980/26861 loss：0.448658 2021-08-22 03:51:47,299 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2981/26861 loss：0.377895 2021-08-22 03:51:48,909 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2982/26861 loss：0.139147 2021-08-22 03:51:50,515 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2983/26861 loss：0.245412 2021-08-22 03:51:52,121 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2984/26861 loss：0.057600 2021-08-22 03:51:53,725 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2985/26861 loss：0.050680 2021-08-22 03:51:55,334 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2986/26861 loss：0.025772 2021-08-22 03:51:56,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2987/26861 loss：0.032000 2021-08-22 03:51:58,562 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2988/26861 loss：0.437884 2021-08-22 03:52:00,174 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2989/26861 loss：0.281101 2021-08-22 03:52:01,792 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2990/26861 loss：0.109819 2021-08-22 03:52:03,404 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2991/26861 loss：0.048438 2021-08-22 03:52:05,012 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2992/26861 loss：0.400902 2021-08-22 03:52:06,624 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2993/26861 loss：0.191242 2021-08-22 03:52:08,230 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2994/26861 loss：0.738667 2021-08-22 03:52:09,837 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2995/26861 loss：0.369927 2021-08-22 03:52:11,441 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2996/26861 loss：0.316694 2021-08-22 03:52:13,043 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2997/26861 loss：0.311570 2021-08-22 03:52:14,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2998/26861 loss：0.188366 2021-08-22 03:52:16,285 - INFO - main.py - train - 74 - 【train】 epoch：0 step:2999/26861 loss：0.070654 2021-08-22 03:52:17,897 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3000/26861 loss：0.551422 2021-08-22 03:52:19,504 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3001/26861 loss：0.100476 2021-08-22 03:52:21,110 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3002/26861 loss：0.044392 2021-08-22 03:52:22,720 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3003/26861 loss：0.035006 2021-08-22 03:52:24,320 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3004/26861 loss：0.083324 2021-08-22 03:52:25,926 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3005/26861 loss：0.065397 2021-08-22 03:52:27,531 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3006/26861 loss：0.204765 2021-08-22 03:52:29,136 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3007/26861 loss：0.140465 2021-08-22 03:52:30,744 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3008/26861 loss：1.484211 2021-08-22 03:52:32,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3009/26861 loss：1.324107 2021-08-22 03:52:33,957 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3010/26861 loss：0.299884 2021-08-22 03:52:35,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3011/26861 loss：0.234070 2021-08-22 03:52:37,177 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3012/26861 loss：0.835335 2021-08-22 03:52:38,781 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3013/26861 loss：0.574241 2021-08-22 03:52:40,386 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3014/26861 loss：0.119445 2021-08-22 03:52:41,994 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3015/26861 loss：0.048643 2021-08-22 03:52:43,594 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3016/26861 loss：0.503062 2021-08-22 03:52:45,210 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3017/26861 loss：0.313382 2021-08-22 03:52:46,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3018/26861 loss：0.055396 2021-08-22 03:52:48,421 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3019/26861 loss：0.066789 2021-08-22 03:52:50,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3020/26861 loss：0.686882 2021-08-22 03:52:51,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3021/26861 loss：0.724109 2021-08-22 03:52:53,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3022/26861 loss：0.036058 2021-08-22 03:52:54,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3023/26861 loss：0.064937 2021-08-22 03:52:56,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3024/26861 loss：0.053951 2021-08-22 03:52:58,068 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3025/26861 loss：0.024413 2021-08-22 03:52:59,671 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3026/26861 loss：0.519722 2021-08-22 03:53:01,271 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3027/26861 loss：0.149194 2021-08-22 03:53:02,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3028/26861 loss：0.335986 2021-08-22 03:53:04,485 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3029/26861 loss：0.184089 2021-08-22 03:53:06,097 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3030/26861 loss：0.007685 2021-08-22 03:53:07,710 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3031/26861 loss：0.006627 2021-08-22 03:53:09,305 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3032/26861 loss：0.334919 2021-08-22 03:53:10,908 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3033/26861 loss：0.337142 2021-08-22 03:53:12,515 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3034/26861 loss：0.166460 2021-08-22 03:53:14,111 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3035/26861 loss：0.165902 2021-08-22 03:53:15,720 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3036/26861 loss：0.282540 2021-08-22 03:53:17,318 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3037/26861 loss：0.168462 2021-08-22 03:53:18,928 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3038/26861 loss：0.295497 2021-08-22 03:53:20,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3039/26861 loss：0.141079 2021-08-22 03:53:22,145 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3040/26861 loss：0.351284 2021-08-22 03:53:23,757 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3041/26861 loss：0.397107 2021-08-22 03:53:25,359 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3042/26861 loss：0.060332 2021-08-22 03:53:26,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3043/26861 loss：0.070863 2021-08-22 03:53:28,583 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3044/26861 loss：0.709753 2021-08-22 03:53:30,186 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3045/26861 loss：0.394837 2021-08-22 03:53:31,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3046/26861 loss：0.202095 2021-08-22 03:53:33,397 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3047/26861 loss：0.108748 2021-08-22 03:53:35,009 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3048/26861 loss：0.241551 2021-08-22 03:53:36,616 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3049/26861 loss：0.219656 2021-08-22 03:53:38,231 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3050/26861 loss：0.180172 2021-08-22 03:53:39,841 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3051/26861 loss：0.028082 2021-08-22 03:53:41,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3052/26861 loss：0.015324 2021-08-22 03:53:43,091 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3053/26861 loss：0.024148 2021-08-22 03:53:44,697 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3054/26861 loss：0.267995 2021-08-22 03:53:46,294 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3055/26861 loss：0.237545 2021-08-22 03:53:47,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3056/26861 loss：0.836226 2021-08-22 03:53:49,548 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3057/26861 loss：0.239931 2021-08-22 03:53:51,163 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3058/26861 loss：1.144639 2021-08-22 03:53:52,776 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3059/26861 loss：1.141722 2021-08-22 03:53:54,386 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3060/26861 loss：0.618028 2021-08-22 03:53:55,992 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3061/26861 loss：0.443845 2021-08-22 03:53:57,599 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3062/26861 loss：0.179421 2021-08-22 03:53:59,202 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3063/26861 loss：0.257479 2021-08-22 03:54:00,814 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3064/26861 loss：0.798413 2021-08-22 03:54:02,426 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3065/26861 loss：0.623206 2021-08-22 03:54:04,034 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3066/26861 loss：0.749494 2021-08-22 03:54:05,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3067/26861 loss：0.583502 2021-08-22 03:54:07,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3068/26861 loss：0.421715 2021-08-22 03:54:08,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3069/26861 loss：0.402647 2021-08-22 03:54:10,457 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3070/26861 loss：0.355095 2021-08-22 03:54:12,058 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3071/26861 loss：0.272470 2021-08-22 03:54:13,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3072/26861 loss：0.054984 2021-08-22 03:54:15,268 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3073/26861 loss：0.085747 2021-08-22 03:54:16,883 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3074/26861 loss：0.015404 2021-08-22 03:54:18,498 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3075/26861 loss：0.013469 2021-08-22 03:54:20,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3076/26861 loss：0.522125 2021-08-22 03:54:21,726 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3077/26861 loss：0.505964 2021-08-22 03:54:23,367 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3078/26861 loss：0.030931 2021-08-22 03:54:25,005 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3079/26861 loss：0.033813 2021-08-22 03:54:26,656 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3080/26861 loss：0.006231 2021-08-22 03:54:28,301 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3081/26861 loss：0.006282 2021-08-22 03:54:29,940 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3082/26861 loss：0.002936 2021-08-22 03:54:31,575 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3083/26861 loss：0.003342 2021-08-22 03:54:33,189 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3084/26861 loss：0.117954 2021-08-22 03:54:34,795 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3085/26861 loss：0.043914 2021-08-22 03:54:36,408 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3086/26861 loss：0.372835 2021-08-22 03:54:38,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3087/26861 loss：0.371469 2021-08-22 03:54:39,632 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3088/26861 loss：0.384790 2021-08-22 03:54:41,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3089/26861 loss：0.431849 2021-08-22 03:54:42,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3090/26861 loss：0.041178 2021-08-22 03:54:44,453 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3091/26861 loss：0.083526 2021-08-22 03:54:46,056 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3092/26861 loss：0.160551 2021-08-22 03:54:47,649 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3093/26861 loss：0.143537 2021-08-22 03:54:49,255 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3094/26861 loss：0.460630 2021-08-22 03:54:50,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3095/26861 loss：0.490068 2021-08-22 03:54:52,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3096/26861 loss：0.712611 2021-08-22 03:54:54,066 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3097/26861 loss：0.707419 2021-08-22 03:54:55,670 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3098/26861 loss：0.109964 2021-08-22 03:54:57,275 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3099/26861 loss：0.110986 2021-08-22 03:54:58,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3100/26861 loss：0.186212 2021-08-22 03:55:00,493 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3101/26861 loss：0.185807 2021-08-22 03:55:02,099 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3102/26861 loss：0.642514 2021-08-22 03:55:03,704 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3103/26861 loss：0.480351 2021-08-22 03:55:05,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3104/26861 loss：0.601258 2021-08-22 03:55:06,912 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3105/26861 loss：0.354669 2021-08-22 03:55:08,525 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3106/26861 loss：0.742232 2021-08-22 03:55:10,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3107/26861 loss：0.655513 2021-08-22 03:55:11,744 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3108/26861 loss：0.745332 2021-08-22 03:55:13,351 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3109/26861 loss：0.585040 2021-08-22 03:55:14,953 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3110/26861 loss：0.406203 2021-08-22 03:55:16,563 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3111/26861 loss：0.301249 2021-08-22 03:55:18,164 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3112/26861 loss：0.203836 2021-08-22 03:55:19,773 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3113/26861 loss：0.161548 2021-08-22 03:55:21,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3114/26861 loss：0.032233 2021-08-22 03:55:22,971 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3115/26861 loss：0.023071 2021-08-22 03:55:24,584 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3116/26861 loss：0.204114 2021-08-22 03:55:26,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3117/26861 loss：0.210303 2021-08-22 03:55:27,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3118/26861 loss：1.169518 2021-08-22 03:55:29,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3119/26861 loss：0.901835 2021-08-22 03:55:31,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3120/26861 loss：0.452717 2021-08-22 03:55:32,674 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3121/26861 loss：0.329044 2021-08-22 03:55:34,280 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3122/26861 loss：0.028249 2021-08-22 03:55:35,882 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3123/26861 loss：0.015116 2021-08-22 03:55:37,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3124/26861 loss：0.388459 2021-08-22 03:55:39,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3125/26861 loss：0.238364 2021-08-22 03:55:40,708 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3126/26861 loss：0.940863 2021-08-22 03:55:42,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3127/26861 loss：0.850976 2021-08-22 03:55:43,923 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3128/26861 loss：0.012522 2021-08-22 03:55:45,530 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3129/26861 loss：0.009974 2021-08-22 03:55:47,134 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3130/26861 loss：0.341398 2021-08-22 03:55:48,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3131/26861 loss：0.282722 2021-08-22 03:55:50,358 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3132/26861 loss：0.269677 2021-08-22 03:55:51,982 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3133/26861 loss：0.216766 2021-08-22 03:55:53,591 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3134/26861 loss：0.035976 2021-08-22 03:55:55,198 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3135/26861 loss：0.044228 2021-08-22 03:55:56,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3136/26861 loss：0.114960 2021-08-22 03:55:58,411 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3137/26861 loss：0.062922 2021-08-22 03:56:00,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3138/26861 loss：0.278398 2021-08-22 03:56:01,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3139/26861 loss：0.176288 2021-08-22 03:56:03,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3140/26861 loss：0.805037 2021-08-22 03:56:04,881 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3141/26861 loss：0.695507 2021-08-22 03:56:06,498 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3142/26861 loss：0.288113 2021-08-22 03:56:08,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3143/26861 loss：0.083976 2021-08-22 03:56:09,730 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3144/26861 loss：0.007964 2021-08-22 03:56:11,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3145/26861 loss：0.007742 2021-08-22 03:56:12,957 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3146/26861 loss：0.150148 2021-08-22 03:56:14,571 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3147/26861 loss：0.050259 2021-08-22 03:56:16,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3148/26861 loss：0.451481 2021-08-22 03:56:17,807 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3149/26861 loss：0.414327 2021-08-22 03:56:19,412 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3150/26861 loss：0.152611 2021-08-22 03:56:21,015 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3151/26861 loss：0.105755 2021-08-22 03:56:22,625 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3152/26861 loss：0.394433 2021-08-22 03:56:24,230 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3153/26861 loss：0.236912 2021-08-22 03:56:25,843 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3154/26861 loss：0.105167 2021-08-22 03:56:27,448 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3155/26861 loss：0.119585 2021-08-22 03:56:29,055 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3156/26861 loss：0.094630 2021-08-22 03:56:30,662 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3157/26861 loss：0.048761 2021-08-22 03:56:32,265 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3158/26861 loss：0.451506 2021-08-22 03:56:33,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3159/26861 loss：0.197779 2021-08-22 03:56:35,487 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3160/26861 loss：0.029730 2021-08-22 03:56:37,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3161/26861 loss：0.036354 2021-08-22 03:56:38,728 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3162/26861 loss：0.231868 2021-08-22 03:56:40,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3163/26861 loss：0.058234 2021-08-22 03:56:41,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3164/26861 loss：1.218129 2021-08-22 03:56:43,546 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3165/26861 loss：0.875154 2021-08-22 03:56:45,141 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3166/26861 loss：0.234969 2021-08-22 03:56:46,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3167/26861 loss：0.173439 2021-08-22 03:56:48,350 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3168/26861 loss：0.014040 2021-08-22 03:56:49,959 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3169/26861 loss：0.014096 2021-08-22 03:56:51,573 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3170/26861 loss：0.072148 2021-08-22 03:56:53,184 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3171/26861 loss：0.062428 2021-08-22 03:56:54,801 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3172/26861 loss：0.349954 2021-08-22 03:56:56,412 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3173/26861 loss：0.383751 2021-08-22 03:56:58,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3174/26861 loss：0.357928 2021-08-22 03:56:59,628 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3175/26861 loss：0.142196 2021-08-22 03:57:01,231 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3176/26861 loss：0.363209 2021-08-22 03:57:02,837 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3177/26861 loss：0.288213 2021-08-22 03:57:04,454 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3178/26861 loss：0.269550 2021-08-22 03:57:06,065 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3179/26861 loss：0.182828 2021-08-22 03:57:07,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3180/26861 loss：0.019229 2021-08-22 03:57:09,267 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3181/26861 loss：0.011303 2021-08-22 03:57:10,873 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3182/26861 loss：0.623069 2021-08-22 03:57:12,475 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3183/26861 loss：0.268901 2021-08-22 03:57:14,096 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3184/26861 loss：0.049171 2021-08-22 03:57:15,718 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3185/26861 loss：0.044624 2021-08-22 03:57:17,327 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3186/26861 loss：1.232570 2021-08-22 03:57:18,936 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3187/26861 loss：0.757413 2021-08-22 03:57:20,544 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3188/26861 loss：0.065694 2021-08-22 03:57:22,153 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3189/26861 loss：0.041320 2021-08-22 03:57:23,772 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3190/26861 loss：0.412801 2021-08-22 03:57:25,378 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3191/26861 loss：0.270906 2021-08-22 03:57:26,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3192/26861 loss：0.064991 2021-08-22 03:57:28,623 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3193/26861 loss：0.047458 2021-08-22 03:57:30,277 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3194/26861 loss：0.102072 2021-08-22 03:57:31,925 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3195/26861 loss：0.101808 2021-08-22 03:57:33,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3196/26861 loss：0.123465 2021-08-22 03:57:35,135 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3197/26861 loss：0.100606 2021-08-22 03:57:36,739 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3198/26861 loss：0.403976 2021-08-22 03:57:38,334 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3199/26861 loss：0.339118 2021-08-22 03:57:39,944 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3200/26861 loss：0.223754 2021-08-22 03:57:41,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3201/26861 loss：0.204459 2021-08-22 03:57:43,141 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3202/26861 loss：0.615778 2021-08-22 03:57:44,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3203/26861 loss：0.693486 2021-08-22 03:57:46,349 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3204/26861 loss：0.414372 2021-08-22 03:57:47,954 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3205/26861 loss：0.430459 2021-08-22 03:57:49,563 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3206/26861 loss：0.378445 2021-08-22 03:57:51,176 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3207/26861 loss：0.305737 2021-08-22 03:57:52,790 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3208/26861 loss：0.322501 2021-08-22 03:57:54,393 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3209/26861 loss：0.251977 2021-08-22 03:57:55,998 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3210/26861 loss：0.238897 2021-08-22 03:57:57,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3211/26861 loss：0.188765 2021-08-22 03:57:59,222 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3212/26861 loss：0.037535 2021-08-22 03:58:00,829 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3213/26861 loss：0.021343 2021-08-22 03:58:02,468 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3214/26861 loss：0.047785 2021-08-22 03:58:04,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3215/26861 loss：0.035556 2021-08-22 03:58:05,726 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3216/26861 loss：0.154069 2021-08-22 03:58:07,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3217/26861 loss：0.113692 2021-08-22 03:58:08,933 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3218/26861 loss：0.048503 2021-08-22 03:58:10,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3219/26861 loss：0.038448 2021-08-22 03:58:12,166 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3220/26861 loss：0.500377 2021-08-22 03:58:13,780 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3221/26861 loss：0.268977 2021-08-22 03:58:15,389 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3222/26861 loss：0.011824 2021-08-22 03:58:17,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3223/26861 loss：0.011272 2021-08-22 03:58:18,621 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3224/26861 loss：0.212378 2021-08-22 03:58:20,235 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3225/26861 loss：0.104662 2021-08-22 03:58:21,888 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3226/26861 loss：0.134615 2021-08-22 03:58:23,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3227/26861 loss：0.094108 2021-08-22 03:58:25,184 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3228/26861 loss：0.767704 2021-08-22 03:58:26,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3229/26861 loss：0.170355 2021-08-22 03:58:28,438 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3230/26861 loss：0.510581 2021-08-22 03:58:30,039 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3231/26861 loss：0.363003 2021-08-22 03:58:31,645 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3232/26861 loss：0.563885 2021-08-22 03:58:33,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3233/26861 loss：0.415729 2021-08-22 03:58:34,864 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3234/26861 loss：0.336467 2021-08-22 03:58:36,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3235/26861 loss：0.297757 2021-08-22 03:58:38,080 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3236/26861 loss：0.563336 2021-08-22 03:58:39,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3237/26861 loss：0.748927 2021-08-22 03:58:41,304 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3238/26861 loss：0.097806 2021-08-22 03:58:42,918 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3239/26861 loss：0.117151 2021-08-22 03:58:44,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3240/26861 loss：0.040963 2021-08-22 03:58:46,134 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3241/26861 loss：0.038722 2021-08-22 03:58:47,735 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3242/26861 loss：0.792494 2021-08-22 03:58:49,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3243/26861 loss：0.586016 2021-08-22 03:58:50,945 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3244/26861 loss：0.555749 2021-08-22 03:58:52,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3245/26861 loss：0.226525 2021-08-22 03:58:54,169 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3246/26861 loss：0.721908 2021-08-22 03:58:55,776 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3247/26861 loss：0.314037 2021-08-22 03:58:57,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3248/26861 loss：0.216659 2021-08-22 03:58:59,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3249/26861 loss：0.267195 2021-08-22 03:59:00,607 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3250/26861 loss：0.020245 2021-08-22 03:59:02,216 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3251/26861 loss：0.015777 2021-08-22 03:59:03,824 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3252/26861 loss：0.018685 2021-08-22 03:59:05,433 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3253/26861 loss：0.015432 2021-08-22 03:59:07,036 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3254/26861 loss：0.492391 2021-08-22 03:59:08,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3255/26861 loss：0.404266 2021-08-22 03:59:10,236 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3256/26861 loss：0.030569 2021-08-22 03:59:11,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3257/26861 loss：0.019555 2021-08-22 03:59:13,434 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3258/26861 loss：0.261064 2021-08-22 03:59:15,027 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3259/26861 loss：0.306690 2021-08-22 03:59:16,633 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3260/26861 loss：0.044296 2021-08-22 03:59:18,234 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3261/26861 loss：0.058246 2021-08-22 03:59:19,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3262/26861 loss：0.038761 2021-08-22 03:59:21,430 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3263/26861 loss：0.048811 2021-08-22 03:59:23,041 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3264/26861 loss：0.258012 2021-08-22 03:59:24,651 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3265/26861 loss：0.241055 2021-08-22 03:59:26,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3266/26861 loss：0.540101 2021-08-22 03:59:27,873 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3267/26861 loss：0.323815 2021-08-22 03:59:29,478 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3268/26861 loss：0.131405 2021-08-22 03:59:31,088 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3269/26861 loss：0.061051 2021-08-22 03:59:32,711 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3270/26861 loss：0.067248 2021-08-22 03:59:34,329 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3271/26861 loss：0.123418 2021-08-22 03:59:35,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3272/26861 loss：0.113971 2021-08-22 03:59:37,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3273/26861 loss：0.098517 2021-08-22 03:59:39,150 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3274/26861 loss：0.227528 2021-08-22 03:59:40,759 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3275/26861 loss：0.088479 2021-08-22 03:59:42,372 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3276/26861 loss：0.214402 2021-08-22 03:59:43,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3277/26861 loss：0.079315 2021-08-22 03:59:45,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3278/26861 loss：0.147901 2021-08-22 03:59:47,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3279/26861 loss：0.082465 2021-08-22 03:59:48,800 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3280/26861 loss：0.272572 2021-08-22 03:59:50,415 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3281/26861 loss：0.129254 2021-08-22 03:59:52,045 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3282/26861 loss：0.085215 2021-08-22 03:59:53,662 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3283/26861 loss：0.039271 2021-08-22 03:59:55,277 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3284/26861 loss：0.371366 2021-08-22 03:59:56,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3285/26861 loss：0.089155 2021-08-22 03:59:58,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3286/26861 loss：0.450429 2021-08-22 04:00:00,101 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3287/26861 loss：0.387938 2021-08-22 04:00:01,707 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3288/26861 loss：0.738410 2021-08-22 04:00:03,310 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3289/26861 loss：0.523077 2021-08-22 04:00:04,920 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3290/26861 loss：1.381530 2021-08-22 04:00:06,529 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3291/26861 loss：0.879666 2021-08-22 04:00:08,140 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3292/26861 loss：0.164584 2021-08-22 04:00:09,744 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3293/26861 loss：0.189534 2021-08-22 04:00:11,349 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3294/26861 loss：1.070848 2021-08-22 04:00:12,954 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3295/26861 loss：0.636524 2021-08-22 04:00:14,557 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3296/26861 loss：0.033351 2021-08-22 04:00:16,159 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3297/26861 loss：0.025558 2021-08-22 04:00:17,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3298/26861 loss：0.033677 2021-08-22 04:00:19,374 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3299/26861 loss：0.054694 2021-08-22 04:00:20,984 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3300/26861 loss：0.040173 2021-08-22 04:00:22,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3301/26861 loss：0.060121 2021-08-22 04:00:24,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3302/26861 loss：0.139847 2021-08-22 04:00:25,798 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3303/26861 loss：0.056958 2021-08-22 04:00:27,399 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3304/26861 loss：0.677520 2021-08-22 04:00:29,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3305/26861 loss：0.714430 2021-08-22 04:00:30,618 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3306/26861 loss：0.024598 2021-08-22 04:00:32,227 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3307/26861 loss：0.028757 2021-08-22 04:00:33,835 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3308/26861 loss：0.068979 2021-08-22 04:00:35,440 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3309/26861 loss：0.061232 2021-08-22 04:00:37,046 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3310/26861 loss：0.242819 2021-08-22 04:00:38,655 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3311/26861 loss：0.067031 2021-08-22 04:00:40,262 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3312/26861 loss：0.184678 2021-08-22 04:00:41,872 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3313/26861 loss：0.274452 2021-08-22 04:00:43,495 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3314/26861 loss：0.754165 2021-08-22 04:00:45,104 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3315/26861 loss：0.164107 2021-08-22 04:00:46,721 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3316/26861 loss：0.236482 2021-08-22 04:00:48,339 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3317/26861 loss：0.209192 2021-08-22 04:00:49,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3318/26861 loss：0.021784 2021-08-22 04:00:51,558 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3319/26861 loss：0.037389 2021-08-22 04:00:53,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3320/26861 loss：0.434506 2021-08-22 04:00:54,769 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3321/26861 loss：0.293129 2021-08-22 04:00:56,374 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3322/26861 loss：0.038344 2021-08-22 04:00:57,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3323/26861 loss：0.025306 2021-08-22 04:00:59,604 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3324/26861 loss：0.651359 2021-08-22 04:01:01,224 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3325/26861 loss：0.494982 2021-08-22 04:01:02,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3326/26861 loss：0.038026 2021-08-22 04:01:04,478 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3327/26861 loss：0.027446 2021-08-22 04:01:06,098 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3328/26861 loss：0.006754 2021-08-22 04:01:07,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3329/26861 loss：0.006269 2021-08-22 04:01:09,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3330/26861 loss：0.340711 2021-08-22 04:01:11,054 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3331/26861 loss：0.058180 2021-08-22 04:01:12,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3332/26861 loss：0.289089 2021-08-22 04:01:14,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3333/26861 loss：0.285845 2021-08-22 04:01:15,880 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3334/26861 loss：0.325340 2021-08-22 04:01:17,484 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3335/26861 loss：0.315866 2021-08-22 04:01:19,087 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3336/26861 loss：0.151226 2021-08-22 04:01:20,683 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3337/26861 loss：0.102025 2021-08-22 04:01:22,286 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3338/26861 loss：0.018377 2021-08-22 04:01:23,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3339/26861 loss：0.043950 2021-08-22 04:01:25,497 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3340/26861 loss：0.072995 2021-08-22 04:01:27,108 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3341/26861 loss：0.041154 2021-08-22 04:01:28,706 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3342/26861 loss：0.377452 2021-08-22 04:01:30,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3343/26861 loss：0.372177 2021-08-22 04:01:31,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3344/26861 loss：0.023351 2021-08-22 04:01:33,532 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3345/26861 loss：0.031533 2021-08-22 04:01:35,140 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3346/26861 loss：0.280959 2021-08-22 04:01:36,748 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3347/26861 loss：0.192851 2021-08-22 04:01:38,356 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3348/26861 loss：0.027442 2021-08-22 04:01:39,974 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3349/26861 loss：0.022297 2021-08-22 04:01:41,564 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3350/26861 loss：0.032133 2021-08-22 04:01:43,171 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3351/26861 loss：0.037005 2021-08-22 04:01:44,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3352/26861 loss：0.210377 2021-08-22 04:01:46,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3353/26861 loss：0.066579 2021-08-22 04:01:47,986 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3354/26861 loss：0.188586 2021-08-22 04:01:49,591 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3355/26861 loss：0.142978 2021-08-22 04:01:51,229 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3356/26861 loss：0.186620 2021-08-22 04:01:52,884 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3357/26861 loss：0.124418 2021-08-22 04:01:54,519 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3358/26861 loss：0.066278 2021-08-22 04:01:56,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3359/26861 loss：0.120157 2021-08-22 04:01:57,735 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3360/26861 loss：0.030631 2021-08-22 04:01:59,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3361/26861 loss：0.024025 2021-08-22 04:02:00,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3362/26861 loss：0.382103 2021-08-22 04:02:02,561 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3363/26861 loss：0.353727 2021-08-22 04:02:04,159 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3364/26861 loss：0.581998 2021-08-22 04:02:05,748 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3365/26861 loss：0.275653 2021-08-22 04:02:07,361 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3366/26861 loss：0.281957 2021-08-22 04:02:08,971 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3367/26861 loss：0.102633 2021-08-22 04:02:10,577 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3368/26861 loss：0.426305 2021-08-22 04:02:12,181 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3369/26861 loss：0.471800 2021-08-22 04:02:13,787 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3370/26861 loss：0.155265 2021-08-22 04:02:15,400 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3371/26861 loss：0.068420 2021-08-22 04:02:17,026 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3372/26861 loss：0.009145 2021-08-22 04:02:18,657 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3373/26861 loss：0.010082 2021-08-22 04:02:20,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3374/26861 loss：0.024308 2021-08-22 04:02:21,905 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3375/26861 loss：0.014150 2021-08-22 04:02:23,509 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3376/26861 loss：0.078127 2021-08-22 04:02:25,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3377/26861 loss：0.128865 2021-08-22 04:02:26,722 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3378/26861 loss：0.117342 2021-08-22 04:02:28,336 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3379/26861 loss：0.166512 2021-08-22 04:02:29,937 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3380/26861 loss：0.050125 2021-08-22 04:02:31,545 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3381/26861 loss：0.029184 2021-08-22 04:02:33,170 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3382/26861 loss：0.073439 2021-08-22 04:02:34,792 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3383/26861 loss：0.050748 2021-08-22 04:02:36,401 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3384/26861 loss：0.427529 2021-08-22 04:02:38,008 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3385/26861 loss：0.034038 2021-08-22 04:02:39,611 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3386/26861 loss：0.305169 2021-08-22 04:02:41,215 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3387/26861 loss：0.308442 2021-08-22 04:02:42,821 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3388/26861 loss：0.699178 2021-08-22 04:02:44,428 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3389/26861 loss：0.423756 2021-08-22 04:02:46,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3390/26861 loss：0.329790 2021-08-22 04:02:47,621 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3391/26861 loss：0.161684 2021-08-22 04:02:49,239 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3392/26861 loss：0.432323 2021-08-22 04:02:50,859 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3393/26861 loss：0.144184 2021-08-22 04:02:52,471 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3394/26861 loss：0.218527 2021-08-22 04:02:54,078 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3395/26861 loss：0.116128 2021-08-22 04:02:55,694 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3396/26861 loss：0.874093 2021-08-22 04:02:57,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3397/26861 loss：0.911740 2021-08-22 04:02:58,917 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3398/26861 loss：0.697330 2021-08-22 04:03:00,532 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3399/26861 loss：0.615351 2021-08-22 04:03:02,156 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3400/26861 loss：0.510306 2021-08-22 04:03:03,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3401/26861 loss：0.324836 2021-08-22 04:03:05,413 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3402/26861 loss：0.339614 2021-08-22 04:03:07,037 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3403/26861 loss：0.041972 2021-08-22 04:03:08,655 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3404/26861 loss：0.149734 2021-08-22 04:03:10,274 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3405/26861 loss：0.102144 2021-08-22 04:03:11,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3406/26861 loss：0.099828 2021-08-22 04:03:13,482 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3407/26861 loss：0.103566 2021-08-22 04:03:15,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3408/26861 loss：0.226509 2021-08-22 04:03:16,701 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3409/26861 loss：0.243580 2021-08-22 04:03:18,308 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3410/26861 loss：0.250458 2021-08-22 04:03:19,916 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3411/26861 loss：0.031814 2021-08-22 04:03:21,524 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3412/26861 loss：0.009550 2021-08-22 04:03:23,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3413/26861 loss：0.010100 2021-08-22 04:03:24,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3414/26861 loss：0.008328 2021-08-22 04:03:26,376 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3415/26861 loss：0.010614 2021-08-22 04:03:27,992 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3416/26861 loss：0.567518 2021-08-22 04:03:29,596 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3417/26861 loss：0.394009 2021-08-22 04:03:31,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3418/26861 loss：0.291161 2021-08-22 04:03:32,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3419/26861 loss：0.297037 2021-08-22 04:03:34,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3420/26861 loss：0.157807 2021-08-22 04:03:36,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3421/26861 loss：0.118766 2021-08-22 04:03:37,626 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3422/26861 loss：0.012873 2021-08-22 04:03:39,237 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3423/26861 loss：0.015969 2021-08-22 04:03:40,847 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3424/26861 loss：0.480732 2021-08-22 04:03:42,452 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3425/26861 loss：0.201549 2021-08-22 04:03:44,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3426/26861 loss：1.067739 2021-08-22 04:03:45,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3427/26861 loss：0.741678 2021-08-22 04:03:47,265 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3428/26861 loss：1.232745 2021-08-22 04:03:48,875 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3429/26861 loss：0.486376 2021-08-22 04:03:50,481 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3430/26861 loss：3.193966 2021-08-22 04:03:52,087 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3431/26861 loss：1.705614 2021-08-22 04:03:53,694 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3432/26861 loss：0.027003 2021-08-22 04:03:55,303 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3433/26861 loss：0.029589 2021-08-22 04:03:56,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3434/26861 loss：0.005826 2021-08-22 04:03:58,525 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3435/26861 loss：0.007975 2021-08-22 04:04:00,133 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3436/26861 loss：0.062225 2021-08-22 04:04:01,748 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3437/26861 loss：0.080640 2021-08-22 04:04:03,346 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3438/26861 loss：0.663201 2021-08-22 04:04:04,947 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3439/26861 loss：0.582926 2021-08-22 04:04:06,549 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3440/26861 loss：0.198940 2021-08-22 04:04:08,155 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3441/26861 loss：0.071960 2021-08-22 04:04:09,762 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3442/26861 loss：0.030846 2021-08-22 04:04:11,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3443/26861 loss：0.029735 2021-08-22 04:04:12,994 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3444/26861 loss：0.058695 2021-08-22 04:04:14,606 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3445/26861 loss：0.070780 2021-08-22 04:04:16,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3446/26861 loss：0.354294 2021-08-22 04:04:17,803 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3447/26861 loss：0.403522 2021-08-22 04:04:19,397 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3448/26861 loss：0.703835 2021-08-22 04:04:21,004 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3449/26861 loss：0.624289 2021-08-22 04:04:22,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3450/26861 loss：0.156498 2021-08-22 04:04:24,222 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3451/26861 loss：0.137979 2021-08-22 04:04:25,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3452/26861 loss：0.546406 2021-08-22 04:04:27,430 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3453/26861 loss：0.387475 2021-08-22 04:04:29,038 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3454/26861 loss：0.111629 2021-08-22 04:04:30,640 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3455/26861 loss：0.051248 2021-08-22 04:04:32,251 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3456/26861 loss：0.376674 2021-08-22 04:04:33,856 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3457/26861 loss：0.342705 2021-08-22 04:04:35,458 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3458/26861 loss：0.121142 2021-08-22 04:04:37,066 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3459/26861 loss：0.133685 2021-08-22 04:04:38,671 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3460/26861 loss：0.388978 2021-08-22 04:04:40,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3461/26861 loss：0.053818 2021-08-22 04:04:41,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3462/26861 loss：0.035215 2021-08-22 04:04:43,503 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3463/26861 loss：0.031769 2021-08-22 04:04:45,124 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3464/26861 loss：0.235329 2021-08-22 04:04:46,737 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3465/26861 loss：0.201056 2021-08-22 04:04:48,343 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3466/26861 loss：0.286911 2021-08-22 04:04:49,955 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3467/26861 loss：0.126078 2021-08-22 04:04:51,556 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3468/26861 loss：0.337145 2021-08-22 04:04:53,169 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3469/26861 loss：0.252581 2021-08-22 04:04:54,777 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3470/26861 loss：0.057247 2021-08-22 04:04:56,387 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3471/26861 loss：0.079048 2021-08-22 04:04:57,991 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3472/26861 loss：0.458339 2021-08-22 04:04:59,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3473/26861 loss：0.426645 2021-08-22 04:05:01,228 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3474/26861 loss：0.509912 2021-08-22 04:05:02,865 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3475/26861 loss：0.322391 2021-08-22 04:05:04,514 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3476/26861 loss：0.023665 2021-08-22 04:05:06,172 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3477/26861 loss：0.012667 2021-08-22 04:05:07,801 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3478/26861 loss：1.014641 2021-08-22 04:05:09,427 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3479/26861 loss：0.178395 2021-08-22 04:05:11,056 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3480/26861 loss：0.200233 2021-08-22 04:05:12,681 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3481/26861 loss：0.158774 2021-08-22 04:05:14,303 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3482/26861 loss：0.322533 2021-08-22 04:05:15,922 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3483/26861 loss：0.246737 2021-08-22 04:05:17,536 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3484/26861 loss：1.443241 2021-08-22 04:05:19,145 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3485/26861 loss：0.064779 2021-08-22 04:05:20,752 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3486/26861 loss：0.042904 2021-08-22 04:05:22,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3487/26861 loss：0.034122 2021-08-22 04:05:23,946 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3488/26861 loss：0.046902 2021-08-22 04:05:25,559 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3489/26861 loss：0.056711 2021-08-22 04:05:27,169 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3490/26861 loss：0.762722 2021-08-22 04:05:28,780 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3491/26861 loss：0.955877 2021-08-22 04:05:30,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3492/26861 loss：1.031878 2021-08-22 04:05:32,005 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3493/26861 loss：0.419062 2021-08-22 04:05:33,633 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3494/26861 loss：0.021769 2021-08-22 04:05:35,269 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3495/26861 loss：0.013831 2021-08-22 04:05:36,914 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3496/26861 loss：0.011427 2021-08-22 04:05:38,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3497/26861 loss：0.009278 2021-08-22 04:05:40,160 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3498/26861 loss：0.558803 2021-08-22 04:05:41,768 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3499/26861 loss：0.497609 2021-08-22 04:05:43,383 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3500/26861 loss：0.800156 2021-08-22 04:05:44,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3501/26861 loss：0.543168 2021-08-22 04:05:46,603 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3502/26861 loss：0.538945 2021-08-22 04:05:48,207 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3503/26861 loss：0.090034 2021-08-22 04:05:49,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3504/26861 loss：0.445350 2021-08-22 04:05:51,439 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3505/26861 loss：0.131422 2021-08-22 04:05:53,050 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3506/26861 loss：0.899340 2021-08-22 04:05:54,670 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3507/26861 loss：0.945868 2021-08-22 04:05:56,283 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3508/26861 loss：0.374130 2021-08-22 04:05:57,897 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3509/26861 loss：0.290710 2021-08-22 04:05:59,498 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3510/26861 loss：0.071828 2021-08-22 04:06:01,103 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3511/26861 loss：0.030398 2021-08-22 04:06:02,704 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3512/26861 loss：0.093645 2021-08-22 04:06:04,313 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3513/26861 loss：0.074734 2021-08-22 04:06:05,927 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3514/26861 loss：0.019829 2021-08-22 04:06:07,532 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3515/26861 loss：0.035747 2021-08-22 04:06:09,139 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3516/26861 loss：0.128979 2021-08-22 04:06:10,749 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3517/26861 loss：0.054638 2021-08-22 04:06:12,354 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3518/26861 loss：0.229214 2021-08-22 04:06:13,961 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3519/26861 loss：0.102430 2021-08-22 04:06:15,561 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3520/26861 loss：0.023734 2021-08-22 04:06:17,164 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3521/26861 loss：0.018748 2021-08-22 04:06:18,771 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3522/26861 loss：0.454439 2021-08-22 04:06:20,381 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3523/26861 loss：0.413644 2021-08-22 04:06:21,987 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3524/26861 loss：0.437957 2021-08-22 04:06:23,598 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3525/26861 loss：0.318213 2021-08-22 04:06:25,206 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3526/26861 loss：0.198814 2021-08-22 04:06:26,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3527/26861 loss：0.061301 2021-08-22 04:06:28,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3528/26861 loss：1.509919 2021-08-22 04:06:30,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3529/26861 loss：1.139956 2021-08-22 04:06:31,629 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3530/26861 loss：0.385173 2021-08-22 04:06:33,240 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3531/26861 loss：0.246684 2021-08-22 04:06:34,846 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3532/26861 loss：0.305341 2021-08-22 04:06:36,453 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3533/26861 loss：0.308584 2021-08-22 04:06:38,054 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3534/26861 loss：0.340563 2021-08-22 04:06:39,657 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3535/26861 loss：0.345443 2021-08-22 04:06:41,254 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3536/26861 loss：0.054520 2021-08-22 04:06:42,864 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3537/26861 loss：0.037360 2021-08-22 04:06:44,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3538/26861 loss：0.015900 2021-08-22 04:06:46,084 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3539/26861 loss：0.015249 2021-08-22 04:06:47,682 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3540/26861 loss：0.162793 2021-08-22 04:06:49,279 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3541/26861 loss：0.116225 2021-08-22 04:06:50,894 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3542/26861 loss：0.312628 2021-08-22 04:06:52,509 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3543/26861 loss：0.147723 2021-08-22 04:06:54,114 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3544/26861 loss：0.076826 2021-08-22 04:06:55,725 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3545/26861 loss：0.044104 2021-08-22 04:06:57,345 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3546/26861 loss：0.174129 2021-08-22 04:06:58,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3547/26861 loss：0.128045 2021-08-22 04:07:00,554 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3548/26861 loss：0.081800 2021-08-22 04:07:02,150 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3549/26861 loss：0.070617 2021-08-22 04:07:03,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3550/26861 loss：0.035244 2021-08-22 04:07:05,362 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3551/26861 loss：0.029749 2021-08-22 04:07:06,971 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3552/26861 loss：0.436876 2021-08-22 04:07:08,577 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3553/26861 loss：0.329053 2021-08-22 04:07:10,182 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3554/26861 loss：0.085934 2021-08-22 04:07:11,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3555/26861 loss：0.110335 2021-08-22 04:07:13,396 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3556/26861 loss：0.787590 2021-08-22 04:07:15,007 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3557/26861 loss：0.448177 2021-08-22 04:07:16,614 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3558/26861 loss：0.204006 2021-08-22 04:07:18,221 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3559/26861 loss：0.125652 2021-08-22 04:07:19,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3560/26861 loss：0.982360 2021-08-22 04:07:21,432 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3561/26861 loss：0.587200 2021-08-22 04:07:23,038 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3562/26861 loss：0.055849 2021-08-22 04:07:24,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3563/26861 loss：0.044245 2021-08-22 04:07:26,247 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3564/26861 loss：0.429978 2021-08-22 04:07:27,849 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3565/26861 loss：0.197396 2021-08-22 04:07:29,461 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3566/26861 loss：0.555259 2021-08-22 04:07:31,071 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3567/26861 loss：0.360369 2021-08-22 04:07:32,676 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3568/26861 loss：0.041646 2021-08-22 04:07:34,281 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3569/26861 loss：0.036933 2021-08-22 04:07:35,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3570/26861 loss：0.415238 2021-08-22 04:07:37,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3571/26861 loss：0.245694 2021-08-22 04:07:39,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3572/26861 loss：2.477323 2021-08-22 04:07:40,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3573/26861 loss：1.258616 2021-08-22 04:07:42,452 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3574/26861 loss：0.071394 2021-08-22 04:07:44,092 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3575/26861 loss：0.031104 2021-08-22 04:07:45,741 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3576/26861 loss：0.021076 2021-08-22 04:07:47,352 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3577/26861 loss：0.021536 2021-08-22 04:07:48,989 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3578/26861 loss：3.973809 2021-08-22 04:07:50,619 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3579/26861 loss：3.567184 2021-08-22 04:07:52,266 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3580/26861 loss：5.301578 2021-08-22 04:07:53,901 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3581/26861 loss：3.156501 2021-08-22 04:07:55,543 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3582/26861 loss：1.495736 2021-08-22 04:07:57,182 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3583/26861 loss：0.537197 2021-08-22 04:07:58,812 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3584/26861 loss：0.165182 2021-08-22 04:08:00,453 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3585/26861 loss：0.071883 2021-08-22 04:08:02,089 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3586/26861 loss：0.053350 2021-08-22 04:08:03,717 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3587/26861 loss：0.032538 2021-08-22 04:08:05,362 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3588/26861 loss：0.033211 2021-08-22 04:08:06,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3589/26861 loss：0.021834 2021-08-22 04:08:08,601 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3590/26861 loss：3.068259 2021-08-22 04:08:10,208 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3591/26861 loss：1.394946 2021-08-22 04:08:11,824 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3592/26861 loss：1.755723 2021-08-22 04:08:13,435 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3593/26861 loss：1.271846 2021-08-22 04:08:15,050 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3594/26861 loss：1.648153 2021-08-22 04:08:16,665 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3595/26861 loss：0.543642 2021-08-22 04:08:18,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3596/26861 loss：0.161111 2021-08-22 04:08:19,870 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3597/26861 loss：0.095307 2021-08-22 04:08:21,477 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3598/26861 loss：0.317751 2021-08-22 04:08:23,081 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3599/26861 loss：0.202829 2021-08-22 04:08:24,685 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3600/26861 loss：0.242909 2021-08-22 04:08:26,292 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3601/26861 loss：0.129306 2021-08-22 04:08:27,899 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3602/26861 loss：0.231931 2021-08-22 04:08:29,499 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3603/26861 loss：0.229166 2021-08-22 04:08:31,108 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3604/26861 loss：0.021295 2021-08-22 04:08:32,718 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3605/26861 loss：0.020772 2021-08-22 04:08:34,344 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3606/26861 loss：0.006361 2021-08-22 04:08:35,969 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3607/26861 loss：0.009495 2021-08-22 04:08:37,575 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3608/26861 loss：0.161391 2021-08-22 04:08:39,185 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3609/26861 loss：0.043075 2021-08-22 04:08:40,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3610/26861 loss：0.022261 2021-08-22 04:08:42,377 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3611/26861 loss：0.022916 2021-08-22 04:08:43,985 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3612/26861 loss：0.016133 2021-08-22 04:08:45,592 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3613/26861 loss：0.014868 2021-08-22 04:08:47,200 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3614/26861 loss：0.299401 2021-08-22 04:08:48,813 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3615/26861 loss：0.271076 2021-08-22 04:08:50,460 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3616/26861 loss：0.284653 2021-08-22 04:08:52,103 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3617/26861 loss：0.132220 2021-08-22 04:08:53,704 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3618/26861 loss：0.297720 2021-08-22 04:08:55,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3619/26861 loss：0.195741 2021-08-22 04:08:56,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3620/26861 loss：0.431626 2021-08-22 04:08:58,520 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3621/26861 loss：0.419580 2021-08-22 04:09:00,125 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3622/26861 loss：0.413925 2021-08-22 04:09:01,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3623/26861 loss：0.336000 2021-08-22 04:09:03,342 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3624/26861 loss：0.442028 2021-08-22 04:09:04,952 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3625/26861 loss：0.376827 2021-08-22 04:09:06,569 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3626/26861 loss：0.005285 2021-08-22 04:09:08,183 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3627/26861 loss：0.004620 2021-08-22 04:09:09,792 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3628/26861 loss：0.222325 2021-08-22 04:09:11,400 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3629/26861 loss：0.249375 2021-08-22 04:09:13,006 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3630/26861 loss：0.319850 2021-08-22 04:09:14,602 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3631/26861 loss：0.278147 2021-08-22 04:09:16,204 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3632/26861 loss：0.513324 2021-08-22 04:09:17,805 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3633/26861 loss：0.479667 2021-08-22 04:09:19,411 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3634/26861 loss：0.316688 2021-08-22 04:09:21,018 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3635/26861 loss：0.314878 2021-08-22 04:09:22,645 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3636/26861 loss：0.982806 2021-08-22 04:09:24,280 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3637/26861 loss：0.793084 2021-08-22 04:09:25,897 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3638/26861 loss：0.017110 2021-08-22 04:09:27,535 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3639/26861 loss：0.020730 2021-08-22 04:09:29,141 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3640/26861 loss：0.523530 2021-08-22 04:09:30,742 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3641/26861 loss：0.418310 2021-08-22 04:09:32,348 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3642/26861 loss：0.175458 2021-08-22 04:09:33,955 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3643/26861 loss：0.135289 2021-08-22 04:09:35,571 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3644/26861 loss：0.053574 2021-08-22 04:09:37,180 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3645/26861 loss：0.091789 2021-08-22 04:09:38,809 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3646/26861 loss：0.056409 2021-08-22 04:09:40,441 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3647/26861 loss：0.056646 2021-08-22 04:09:42,040 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3648/26861 loss：0.010479 2021-08-22 04:09:43,644 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3649/26861 loss：0.007472 2021-08-22 04:09:45,253 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3650/26861 loss：0.197954 2021-08-22 04:09:46,842 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3651/26861 loss：0.154963 2021-08-22 04:09:48,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3652/26861 loss：0.120861 2021-08-22 04:09:50,052 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3653/26861 loss：0.108202 2021-08-22 04:09:51,660 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3654/26861 loss：0.728533 2021-08-22 04:09:53,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3655/26861 loss：0.770418 2021-08-22 04:09:54,876 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3656/26861 loss：0.662399 2021-08-22 04:09:56,493 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3657/26861 loss：0.491675 2021-08-22 04:09:58,099 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3658/26861 loss：0.512955 2021-08-22 04:09:59,715 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3659/26861 loss：0.275681 2021-08-22 04:10:01,319 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3660/26861 loss：0.627823 2021-08-22 04:10:02,919 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3661/26861 loss：0.533680 2021-08-22 04:10:04,537 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3662/26861 loss：0.037333 2021-08-22 04:10:06,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3663/26861 loss：0.070288 2021-08-22 04:10:07,757 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3664/26861 loss：0.025808 2021-08-22 04:10:09,363 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3665/26861 loss：0.032949 2021-08-22 04:10:10,968 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3666/26861 loss：0.121259 2021-08-22 04:10:12,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3667/26861 loss：0.054726 2021-08-22 04:10:14,199 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3668/26861 loss：0.077045 2021-08-22 04:10:15,815 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3669/26861 loss：0.075090 2021-08-22 04:10:17,430 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3670/26861 loss：0.079545 2021-08-22 04:10:19,036 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3671/26861 loss：0.068738 2021-08-22 04:10:20,662 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3672/26861 loss：0.742117 2021-08-22 04:10:22,284 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3673/26861 loss：0.255631 2021-08-22 04:10:23,930 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3674/26861 loss：0.044047 2021-08-22 04:10:25,570 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3675/26861 loss：0.022232 2021-08-22 04:10:27,177 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3676/26861 loss：0.144338 2021-08-22 04:10:28,786 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3677/26861 loss：0.246770 2021-08-22 04:10:30,395 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3678/26861 loss：0.189609 2021-08-22 04:10:32,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3679/26861 loss：0.155625 2021-08-22 04:10:33,606 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3680/26861 loss：0.819500 2021-08-22 04:10:35,213 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3681/26861 loss：0.723008 2021-08-22 04:10:36,814 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3682/26861 loss：0.227081 2021-08-22 04:10:38,420 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3683/26861 loss：0.128943 2021-08-22 04:10:40,030 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3684/26861 loss：0.478223 2021-08-22 04:10:41,638 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3685/26861 loss：0.270938 2021-08-22 04:10:43,246 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3686/26861 loss：0.020013 2021-08-22 04:10:44,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3687/26861 loss：0.025363 2021-08-22 04:10:46,456 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3688/26861 loss：0.310853 2021-08-22 04:10:48,068 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3689/26861 loss：0.208710 2021-08-22 04:10:49,669 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3690/26861 loss：0.115773 2021-08-22 04:10:51,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3691/26861 loss：0.100419 2021-08-22 04:10:52,880 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3692/26861 loss：0.366744 2021-08-22 04:10:54,485 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3693/26861 loss：0.381729 2021-08-22 04:10:56,085 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3694/26861 loss：0.312834 2021-08-22 04:10:57,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3695/26861 loss：0.155824 2021-08-22 04:10:59,302 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3696/26861 loss：0.015281 2021-08-22 04:11:00,915 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3697/26861 loss：0.010323 2021-08-22 04:11:02,517 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3698/26861 loss：0.021379 2021-08-22 04:11:04,126 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3699/26861 loss：0.024358 2021-08-22 04:11:05,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3700/26861 loss：0.116874 2021-08-22 04:11:07,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3701/26861 loss：0.054499 2021-08-22 04:11:08,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3702/26861 loss：0.131103 2021-08-22 04:11:10,553 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3703/26861 loss：0.064204 2021-08-22 04:11:12,162 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3704/26861 loss：0.210869 2021-08-22 04:11:13,767 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3705/26861 loss：0.042956 2021-08-22 04:11:15,375 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3706/26861 loss：0.278966 2021-08-22 04:11:16,983 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3707/26861 loss：0.220148 2021-08-22 04:11:18,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3708/26861 loss：0.230263 2021-08-22 04:11:20,196 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3709/26861 loss：0.314579 2021-08-22 04:11:21,799 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3710/26861 loss：0.136158 2021-08-22 04:11:23,400 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3711/26861 loss：0.117515 2021-08-22 04:11:25,005 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3712/26861 loss：0.420963 2021-08-22 04:11:26,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3713/26861 loss：0.361861 2021-08-22 04:11:28,211 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3714/26861 loss：0.016740 2021-08-22 04:11:29,818 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3715/26861 loss：0.018964 2021-08-22 04:11:31,426 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3716/26861 loss：0.529281 2021-08-22 04:11:33,035 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3717/26861 loss：0.128866 2021-08-22 04:11:34,647 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3718/26861 loss：0.560095 2021-08-22 04:11:36,256 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3719/26861 loss：0.483475 2021-08-22 04:11:37,860 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3720/26861 loss：0.014539 2021-08-22 04:11:39,464 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3721/26861 loss：0.010881 2021-08-22 04:11:41,074 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3722/26861 loss：0.305553 2021-08-22 04:11:42,681 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3723/26861 loss：0.160170 2021-08-22 04:11:44,291 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3724/26861 loss：0.720187 2021-08-22 04:11:45,900 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3725/26861 loss：0.554309 2021-08-22 04:11:47,507 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3726/26861 loss：0.598861 2021-08-22 04:11:49,107 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3727/26861 loss：0.614455 2021-08-22 04:11:50,712 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3728/26861 loss：0.011972 2021-08-22 04:11:52,314 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3729/26861 loss：0.016568 2021-08-22 04:11:53,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3730/26861 loss：0.023157 2021-08-22 04:11:55,568 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3731/26861 loss：0.040136 2021-08-22 04:11:57,179 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3732/26861 loss：0.244292 2021-08-22 04:11:58,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3733/26861 loss：0.231625 2021-08-22 04:12:00,384 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3734/26861 loss：0.073429 2021-08-22 04:12:01,994 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3735/26861 loss：0.056772 2021-08-22 04:12:03,608 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3736/26861 loss：0.024496 2021-08-22 04:12:05,212 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3737/26861 loss：0.037852 2021-08-22 04:12:06,819 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3738/26861 loss：0.081660 2021-08-22 04:12:08,429 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3739/26861 loss：0.060194 2021-08-22 04:12:10,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3740/26861 loss：0.024563 2021-08-22 04:12:11,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3741/26861 loss：0.110327 2021-08-22 04:12:13,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3742/26861 loss：0.449069 2021-08-22 04:12:14,850 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3743/26861 loss：0.252251 2021-08-22 04:12:16,452 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3744/26861 loss：0.560573 2021-08-22 04:12:18,060 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3745/26861 loss：0.278740 2021-08-22 04:12:19,668 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3746/26861 loss：0.198996 2021-08-22 04:12:21,272 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3747/26861 loss：0.097648 2021-08-22 04:12:22,893 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3748/26861 loss：0.232469 2021-08-22 04:12:24,504 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3749/26861 loss：0.103379 2021-08-22 04:12:26,109 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3750/26861 loss：0.154741 2021-08-22 04:12:27,720 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3751/26861 loss：0.087989 2021-08-22 04:12:29,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3752/26861 loss：0.384690 2021-08-22 04:12:30,929 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3753/26861 loss：0.201929 2021-08-22 04:12:32,515 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3754/26861 loss：0.309487 2021-08-22 04:12:34,117 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3755/26861 loss：0.382816 2021-08-22 04:12:35,724 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3756/26861 loss：0.059861 2021-08-22 04:12:37,340 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3757/26861 loss：0.071336 2021-08-22 04:12:38,950 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3758/26861 loss：0.035880 2021-08-22 04:12:40,559 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3759/26861 loss：0.025968 2021-08-22 04:12:42,189 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3760/26861 loss：0.855300 2021-08-22 04:12:43,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3761/26861 loss：0.215937 2021-08-22 04:12:45,435 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3762/26861 loss：0.147374 2021-08-22 04:12:47,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3763/26861 loss：0.068222 2021-08-22 04:12:48,641 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3764/26861 loss：0.401342 2021-08-22 04:12:50,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3765/26861 loss：0.411501 2021-08-22 04:12:51,866 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3766/26861 loss：0.006245 2021-08-22 04:12:53,475 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3767/26861 loss：0.006481 2021-08-22 04:12:55,093 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3768/26861 loss：0.104975 2021-08-22 04:12:56,707 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3769/26861 loss：0.042979 2021-08-22 04:12:58,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3770/26861 loss：0.089852 2021-08-22 04:12:59,920 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3771/26861 loss：0.082414 2021-08-22 04:13:01,522 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3772/26861 loss：0.164525 2021-08-22 04:13:03,129 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3773/26861 loss：0.147220 2021-08-22 04:13:04,741 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3774/26861 loss：0.519495 2021-08-22 04:13:06,341 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3775/26861 loss：0.379511 2021-08-22 04:13:07,954 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3776/26861 loss：0.359735 2021-08-22 04:13:09,563 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3777/26861 loss：0.333015 2021-08-22 04:13:11,174 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3778/26861 loss：0.128503 2021-08-22 04:13:12,788 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3779/26861 loss：0.208255 2021-08-22 04:13:14,419 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3780/26861 loss：0.098717 2021-08-22 04:13:16,062 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3781/26861 loss：0.051175 2021-08-22 04:13:17,694 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3782/26861 loss：0.345041 2021-08-22 04:13:19,326 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3783/26861 loss：0.250101 2021-08-22 04:13:20,987 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3784/26861 loss：0.021257 2021-08-22 04:13:22,650 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3785/26861 loss：0.020225 2021-08-22 04:13:24,281 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3786/26861 loss：0.211966 2021-08-22 04:13:25,905 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3787/26861 loss：0.201218 2021-08-22 04:13:27,547 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3788/26861 loss：0.529445 2021-08-22 04:13:29,188 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3789/26861 loss：0.538049 2021-08-22 04:13:30,802 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3790/26861 loss：0.040440 2021-08-22 04:13:32,407 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3791/26861 loss：0.027800 2021-08-22 04:13:34,023 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3792/26861 loss：1.556346 2021-08-22 04:13:35,635 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3793/26861 loss：0.993120 2021-08-22 04:13:37,244 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3794/26861 loss：0.520936 2021-08-22 04:13:38,832 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3795/26861 loss：0.502391 2021-08-22 04:13:40,445 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3796/26861 loss：0.293903 2021-08-22 04:13:42,050 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3797/26861 loss：0.124010 2021-08-22 04:13:43,655 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3798/26861 loss：0.095813 2021-08-22 04:13:45,253 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3799/26861 loss：0.106583 2021-08-22 04:13:46,855 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3800/26861 loss：0.967583 2021-08-22 04:13:48,458 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3801/26861 loss：1.048169 2021-08-22 04:13:50,068 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3802/26861 loss：0.322361 2021-08-22 04:13:51,684 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3803/26861 loss：0.277386 2021-08-22 04:13:53,305 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3804/26861 loss：0.054794 2021-08-22 04:13:54,921 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3805/26861 loss：0.055698 2021-08-22 04:13:56,524 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3806/26861 loss：0.352770 2021-08-22 04:13:58,123 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3807/26861 loss：0.418992 2021-08-22 04:13:59,724 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3808/26861 loss：0.525074 2021-08-22 04:14:01,331 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3809/26861 loss：0.473893 2021-08-22 04:14:02,942 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3810/26861 loss：0.491596 2021-08-22 04:14:04,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3811/26861 loss：0.237640 2021-08-22 04:14:06,159 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3812/26861 loss：0.542486 2021-08-22 04:14:07,765 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3813/26861 loss：0.557361 2021-08-22 04:14:09,369 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3814/26861 loss：0.199076 2021-08-22 04:14:10,975 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3815/26861 loss：0.314593 2021-08-22 04:14:12,566 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3816/26861 loss：0.107503 2021-08-22 04:14:14,177 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3817/26861 loss：0.083039 2021-08-22 04:14:15,783 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3818/26861 loss：0.107156 2021-08-22 04:14:17,391 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3819/26861 loss：0.120586 2021-08-22 04:14:19,003 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3820/26861 loss：0.068988 2021-08-22 04:14:20,611 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3821/26861 loss：0.043354 2021-08-22 04:14:22,221 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3822/26861 loss：1.170310 2021-08-22 04:14:23,825 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3823/26861 loss：1.023735 2021-08-22 04:14:25,432 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3824/26861 loss：1.032499 2021-08-22 04:14:27,031 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3825/26861 loss：0.171038 2021-08-22 04:14:28,648 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3826/26861 loss：0.834353 2021-08-22 04:14:30,258 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3827/26861 loss：0.659454 2021-08-22 04:14:31,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3828/26861 loss：0.061636 2021-08-22 04:14:33,510 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3829/26861 loss：0.104563 2021-08-22 04:14:35,113 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3830/26861 loss：0.013801 2021-08-22 04:14:36,717 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3831/26861 loss：0.010146 2021-08-22 04:14:38,328 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3832/26861 loss：0.153504 2021-08-22 04:14:39,933 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3833/26861 loss：0.192766 2021-08-22 04:14:41,533 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3834/26861 loss：0.212631 2021-08-22 04:14:43,144 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3835/26861 loss：0.254305 2021-08-22 04:14:44,741 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3836/26861 loss：0.113614 2021-08-22 04:14:46,345 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3837/26861 loss：0.113897 2021-08-22 04:14:47,939 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3838/26861 loss：0.723072 2021-08-22 04:14:49,541 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3839/26861 loss：0.482384 2021-08-22 04:14:51,140 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3840/26861 loss：0.939234 2021-08-22 04:14:52,748 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3841/26861 loss：0.350356 2021-08-22 04:14:54,353 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3842/26861 loss：0.285511 2021-08-22 04:14:55,955 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3843/26861 loss：0.289708 2021-08-22 04:14:57,576 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3844/26861 loss：0.169979 2021-08-22 04:14:59,191 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3845/26861 loss：0.180583 2021-08-22 04:15:00,851 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3846/26861 loss：0.978738 2021-08-22 04:15:02,509 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3847/26861 loss：0.120504 2021-08-22 04:15:04,115 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3848/26861 loss：0.042056 2021-08-22 04:15:05,726 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3849/26861 loss：0.030022 2021-08-22 04:15:07,337 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3850/26861 loss：0.178051 2021-08-22 04:15:08,941 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3851/26861 loss：0.171688 2021-08-22 04:15:10,562 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3852/26861 loss：0.335606 2021-08-22 04:15:12,169 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3853/26861 loss：0.251845 2021-08-22 04:15:13,771 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3854/26861 loss：0.150298 2021-08-22 04:15:15,382 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3855/26861 loss：0.112008 2021-08-22 04:15:16,982 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3856/26861 loss：0.514084 2021-08-22 04:15:18,570 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3857/26861 loss：0.293123 2021-08-22 04:15:20,171 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3858/26861 loss：0.805075 2021-08-22 04:15:21,771 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3859/26861 loss：0.399036 2021-08-22 04:15:23,374 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3860/26861 loss：0.126315 2021-08-22 04:15:24,973 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3861/26861 loss：0.095264 2021-08-22 04:15:26,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3862/26861 loss：2.089672 2021-08-22 04:15:28,186 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3863/26861 loss：0.983512 2021-08-22 04:15:29,793 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3864/26861 loss：0.033589 2021-08-22 04:15:31,404 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3865/26861 loss：0.023539 2021-08-22 04:15:33,007 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3866/26861 loss：0.008632 2021-08-22 04:15:34,620 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3867/26861 loss：0.015456 2021-08-22 04:15:36,217 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3868/26861 loss：0.237101 2021-08-22 04:15:37,820 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3869/26861 loss：0.159013 2021-08-22 04:15:39,431 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3870/26861 loss：0.698613 2021-08-22 04:15:41,037 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3871/26861 loss：0.520095 2021-08-22 04:15:42,655 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3872/26861 loss：0.367734 2021-08-22 04:15:44,275 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3873/26861 loss：0.212479 2021-08-22 04:15:45,909 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3874/26861 loss：0.027522 2021-08-22 04:15:47,523 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3875/26861 loss：0.020996 2021-08-22 04:15:49,126 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3876/26861 loss：0.154420 2021-08-22 04:15:50,717 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3877/26861 loss：0.036465 2021-08-22 04:15:52,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3878/26861 loss：0.881914 2021-08-22 04:15:53,922 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3879/26861 loss：0.477978 2021-08-22 04:15:55,555 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3880/26861 loss：1.429285 2021-08-22 04:15:57,184 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3881/26861 loss：1.453932 2021-08-22 04:15:58,829 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3882/26861 loss：0.125658 2021-08-22 04:16:00,467 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3883/26861 loss：0.115374 2021-08-22 04:16:02,070 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3884/26861 loss：0.047163 2021-08-22 04:16:03,678 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3885/26861 loss：0.032477 2021-08-22 04:16:05,285 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3886/26861 loss：0.562484 2021-08-22 04:16:06,890 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3887/26861 loss：0.358717 2021-08-22 04:16:08,493 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3888/26861 loss：0.299890 2021-08-22 04:16:10,095 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3889/26861 loss：0.321265 2021-08-22 04:16:11,706 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3890/26861 loss：1.328114 2021-08-22 04:16:13,309 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3891/26861 loss：1.042601 2021-08-22 04:16:14,928 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3892/26861 loss：0.254564 2021-08-22 04:16:16,538 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3893/26861 loss：0.142581 2021-08-22 04:16:18,142 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3894/26861 loss：0.035529 2021-08-22 04:16:19,750 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3895/26861 loss：0.017812 2021-08-22 04:16:21,346 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3896/26861 loss：0.199667 2021-08-22 04:16:22,953 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3897/26861 loss：0.253120 2021-08-22 04:16:24,552 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3898/26861 loss：0.742849 2021-08-22 04:16:26,164 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3899/26861 loss：0.705016 2021-08-22 04:16:27,772 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3900/26861 loss：0.557687 2021-08-22 04:16:29,380 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3901/26861 loss：0.168373 2021-08-22 04:16:30,979 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3902/26861 loss：1.487367 2021-08-22 04:16:32,581 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3903/26861 loss：1.051306 2021-08-22 04:16:34,194 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3904/26861 loss：0.279776 2021-08-22 04:16:35,799 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3905/26861 loss：0.352980 2021-08-22 04:16:37,423 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3906/26861 loss：0.015336 2021-08-22 04:16:39,046 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3907/26861 loss：0.017318 2021-08-22 04:16:40,666 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3908/26861 loss：0.018427 2021-08-22 04:16:42,283 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3909/26861 loss：0.013512 2021-08-22 04:16:43,886 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3910/26861 loss：0.158767 2021-08-22 04:16:45,488 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3911/26861 loss：0.099645 2021-08-22 04:16:47,090 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3912/26861 loss：0.745446 2021-08-22 04:16:48,689 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3913/26861 loss：0.465071 2021-08-22 04:16:50,286 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3914/26861 loss：0.880944 2021-08-22 04:16:51,887 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3915/26861 loss：0.773551 2021-08-22 04:16:53,491 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3916/26861 loss：0.027302 2021-08-22 04:16:55,099 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3917/26861 loss：0.045612 2021-08-22 04:16:56,691 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3918/26861 loss：0.472356 2021-08-22 04:16:58,290 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3919/26861 loss：0.334585 2021-08-22 04:16:59,898 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3920/26861 loss：0.319156 2021-08-22 04:17:01,513 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3921/26861 loss：0.124064 2021-08-22 04:17:03,132 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3922/26861 loss：0.085102 2021-08-22 04:17:04,753 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3923/26861 loss：0.070908 2021-08-22 04:17:06,369 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3924/26861 loss：0.059479 2021-08-22 04:17:07,981 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3925/26861 loss：0.053914 2021-08-22 04:17:09,593 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3926/26861 loss：0.248661 2021-08-22 04:17:11,203 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3927/26861 loss：0.271310 2021-08-22 04:17:12,811 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3928/26861 loss：0.389587 2021-08-22 04:17:14,416 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3929/26861 loss：0.250453 2021-08-22 04:17:16,021 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3930/26861 loss：0.168435 2021-08-22 04:17:17,629 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3931/26861 loss：0.205179 2021-08-22 04:17:19,248 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3932/26861 loss：0.027356 2021-08-22 04:17:20,865 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3933/26861 loss：0.034155 2021-08-22 04:17:22,474 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3934/26861 loss：0.619335 2021-08-22 04:17:24,083 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3935/26861 loss：0.623105 2021-08-22 04:17:25,703 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3936/26861 loss：0.240625 2021-08-22 04:17:27,316 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3937/26861 loss：0.323595 2021-08-22 04:17:28,940 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3938/26861 loss：0.329272 2021-08-22 04:17:30,560 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3939/26861 loss：0.199634 2021-08-22 04:17:32,178 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3940/26861 loss：0.754520 2021-08-22 04:17:33,782 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3941/26861 loss：0.114671 2021-08-22 04:17:35,398 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3942/26861 loss：0.537805 2021-08-22 04:17:36,999 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3943/26861 loss：0.419389 2021-08-22 04:17:38,609 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3944/26861 loss：0.904950 2021-08-22 04:17:40,219 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3945/26861 loss：0.499132 2021-08-22 04:17:41,827 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3946/26861 loss：0.667298 2021-08-22 04:17:43,435 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3947/26861 loss：0.483733 2021-08-22 04:17:45,032 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3948/26861 loss：0.456571 2021-08-22 04:17:46,639 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3949/26861 loss：0.428534 2021-08-22 04:17:48,236 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3950/26861 loss：0.350940 2021-08-22 04:17:49,844 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3951/26861 loss：0.248702 2021-08-22 04:17:51,451 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3952/26861 loss：0.103317 2021-08-22 04:17:53,056 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3953/26861 loss：0.027138 2021-08-22 04:17:54,669 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3954/26861 loss：0.057975 2021-08-22 04:17:56,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3955/26861 loss：0.069867 2021-08-22 04:17:57,889 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3956/26861 loss：0.545741 2021-08-22 04:17:59,502 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3957/26861 loss：0.358960 2021-08-22 04:18:01,127 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3958/26861 loss：0.102437 2021-08-22 04:18:02,758 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3959/26861 loss：0.059286 2021-08-22 04:18:04,364 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3960/26861 loss：0.186650 2021-08-22 04:18:05,976 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3961/26861 loss：0.168310 2021-08-22 04:18:07,585 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3962/26861 loss：0.083979 2021-08-22 04:18:09,187 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3963/26861 loss：0.047190 2021-08-22 04:18:10,790 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3964/26861 loss：1.136014 2021-08-22 04:18:12,393 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3965/26861 loss：1.010951 2021-08-22 04:18:14,002 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3966/26861 loss：0.424645 2021-08-22 04:18:15,613 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3967/26861 loss：0.373679 2021-08-22 04:18:17,223 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3968/26861 loss：0.134394 2021-08-22 04:18:18,826 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3969/26861 loss：0.177930 2021-08-22 04:18:20,433 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3970/26861 loss：0.046914 2021-08-22 04:18:22,045 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3971/26861 loss：0.045739 2021-08-22 04:18:23,662 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3972/26861 loss：0.470711 2021-08-22 04:18:25,276 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3973/26861 loss：0.475453 2021-08-22 04:18:26,904 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3974/26861 loss：0.385225 2021-08-22 04:18:28,527 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3975/26861 loss：0.161844 2021-08-22 04:18:30,131 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3976/26861 loss：0.212796 2021-08-22 04:18:31,736 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3977/26861 loss：0.192492 2021-08-22 04:18:33,363 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3978/26861 loss：0.202770 2021-08-22 04:18:34,995 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3979/26861 loss：0.287302 2021-08-22 04:18:36,597 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3980/26861 loss：0.400032 2021-08-22 04:18:38,197 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3981/26861 loss：0.285903 2021-08-22 04:18:39,810 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3982/26861 loss：0.073814 2021-08-22 04:18:41,417 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3983/26861 loss：0.075435 2021-08-22 04:18:43,020 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3984/26861 loss：0.839736 2021-08-22 04:18:44,636 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3985/26861 loss：0.584294 2021-08-22 04:18:46,243 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3986/26861 loss：0.741937 2021-08-22 04:18:47,834 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3987/26861 loss：0.635299 2021-08-22 04:18:49,476 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3988/26861 loss：0.205378 2021-08-22 04:18:51,116 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3989/26861 loss：0.182487 2021-08-22 04:18:52,737 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3990/26861 loss：0.647827 2021-08-22 04:18:54,361 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3991/26861 loss：0.552789 2021-08-22 04:18:55,971 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3992/26861 loss：0.083389 2021-08-22 04:18:57,579 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3993/26861 loss：0.100935 2021-08-22 04:18:59,202 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3994/26861 loss：0.023438 2021-08-22 04:19:00,823 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3995/26861 loss：0.012721 2021-08-22 04:19:02,436 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3996/26861 loss：0.025500 2021-08-22 04:19:04,051 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3997/26861 loss：0.024358 2021-08-22 04:19:05,663 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3998/26861 loss：0.713473 2021-08-22 04:19:07,270 - INFO - main.py - train - 74 - 【train】 epoch：0 step:3999/26861 loss：0.467008 2021-08-22 05:03:45,200 - INFO - main.py - - 242 - ========进行测试======== 2021-08-22 05:06:16,556 - INFO - main.py - - 242 - ========进行测试======== 2021-08-22 05:22:50,141 - INFO - main.py - - 247 - 【test】 loss：631.809930 accuracy：0.8841 micro_f1：0.8841 macro_f1：0.8720 2021-08-22 05:22:50,292 - INFO - main.py - - 249 - precision recall f1-score support 歌手 0.83 0.82 0.83 3961 代言人 0.98 1.00 0.99 920 作曲 0.55 0.71 0.62 1647 父亲 0.92 0.64 0.76 3036 占地面积 0.93 0.93 0.93 90 注册资本 1.00 1.00 1.00 116 所属专辑 0.96 0.96 0.96 1063 所在城市 0.95 0.98 0.97 128 首都 1.00 1.00 1.00 82 毕业院校 1.00 0.99 1.00 1184 饰演 0.94 0.95 0.95 1420 祖籍 0.99 0.93 0.96 206 上映时间 0.96 1.00 0.98 886 主角 0.86 0.67 0.75 350 号 0.70 0.98 0.82 258 简称 1.00 0.99 0.99 588 校长 0.97 1.00 0.98 414 丈夫 0.64 0.92 0.76 2866 国籍 0.99 0.98 0.98 2030 导演 0.88 0.95 0.91 2957 主题曲 0.97 0.95 0.96 486 专业代码 0.00 0.00 0.00 2 妻子 0.81 0.91 0.86 2869 官方语言 1.00 1.00 1.00 24 成立日期 1.00 1.00 1.00 2082 配音 0.99 0.95 0.97 586 邮政编码 1.00 1.00 1.00 2 海拔 1.00 1.00 1.00 54 作词 0.82 0.52 0.63 1669 创始人 0.84 0.86 0.85 308 主持人 0.86 0.89 0.87 696 母亲 0.98 0.52 0.68 1661 人口数量 1.00 0.94 0.97 64 修业年限 0.00 0.00 0.00 2 制片人 0.79 0.70 0.74 248 编剧 0.82 0.56 0.67 902 气候 1.00 0.98 0.99 104 改编自 0.95 0.98 0.96 108 票房 1.00 1.00 1.00 296 主演 0.96 0.96 0.96 7056 面积 0.92 0.92 0.92 76 出品公司 0.98 0.98 0.98 1056 朝代 0.96 0.99 0.97 1026 董事长 0.98 0.94 0.96 1220 作者 0.93 0.96 0.94 4260 嘉宾 0.77 0.87 0.82 922 获奖 1.00 1.00 1.00 584 总部地点 1.00 0.99 0.99 408 accuracy 0.88 52973 macro avg 0.88 0.87 0.87 52973 weighted avg 0.89 0.88 0.88 52973 2021-08-22 05:30:52,230 - INFO - main.py - - 263 - 《步步惊心》改编自著名作家桐华的同名清穿小说《甄嬛传》改编自流潋紫所著的同名小说电视剧《#何以笙箫默#》改编自$顾漫$同名小说《花千骨》改编自fresh果果同名小说《裸婚时代》是月影兰析创作的一部情感小说《琅琊榜》是根据海宴同名网络小说改编电视剧《宫锁心玉》，又名《宫》《雪豹》，该剧改编自网络小说《特战先驱》《我是特种兵》由红遍网络的小说《最后一颗子弹留给我》改编电视剧《来不及说我爱你》改编自匪我思存同名小说《来不及说我爱你》 2021-08-22 05:31:03,599 - INFO - main.py - - 265 - 预测标签：作者 2021-08-22 05:31:03,599 - INFO - main.py - - 266 - 真实标签：作者 2021-08-22 05:31:03,599 - INFO - main.py - - 267 - ========================== 2021-08-22 05:31:03,600 - INFO - main.py - - 263 - 《步步惊心》改编自著名作家桐华的同名清穿小说《甄嬛传》改编自流潋紫所著的同名小说电视剧《何以笙箫默》改编自顾漫同名小说《花千骨》改编自fresh果果同名小说《裸婚时代》是月影兰析创作的一部情感小说《琅琊榜》是根据海宴同名网络小说改编电视剧《宫锁心玉》，又名《宫》《雪豹》，该剧改编自网络小说《特战先驱》《#我是特种兵#》由红遍网络的小说《$最后一颗子弹留给我$》改编电视剧《来不及说我爱你》改编自匪我思存同名小说《来不及说我爱你》 2021-08-22 05:31:04,238 - INFO - main.py - - 265 - 预测标签：改编自 2021-08-22 05:31:04,238 - INFO - main.py - - 266 - 真实标签：改编自 2021-08-22 05:31:04,239 - INFO - main.py - - 267 - ========================== 2021-08-22 05:31:04,239 - INFO - main.py - - 263 - 摩尔多瓦共和国（摩尔多瓦语：Republica Moldova，英语：Republic of Moldova），简称#摩尔多瓦#，是位于东南欧的内陆国，与罗马尼亚和乌克兰接壤，首都$基希讷乌$ 2021-08-22 05:31:04,856 - INFO - main.py - - 265 - 预测标签：首都 2021-08-22 05:31:04,856 - INFO - main.py - - 266 - 真实标签：首都 2021-08-22 05:31:04,856 - INFO - main.py - - 267 - ========================== 2021-08-22 05:31:04,857 - INFO - main.py - - 263 - 2月19日，96岁的资深演员侯焕玲离世，候婆婆一生未嫁，但一直热爱电影，她曾在《回魂夜》和《#喜剧之王#》等电影饰演婆婆一角，而临终前候婆婆一直说，自己好喜欢电影，好喜欢$周星驰$ 2021-08-22 05:31:05,494 - INFO - main.py - - 265 - 预测标签：主演 2021-08-22 05:31:05,494 - INFO - main.py - - 266 - 真实标签：编剧 2021-08-22 05:31:05,495 - INFO - main.py - - 267 - ========================== 2021-08-22 05:31:05,495 - INFO - main.py - - 263 - 这件婚事原本与陈$国峻$无关，但陈国峻却“欲求配而无由，夜间乃潜入#天城公主#所居通之 2021-08-22 05:31:06,118 - INFO - main.py - - 265 - 预测标签：丈夫 2021-08-22 05:31:06,118 - INFO - main.py - - 266 - 真实标签：丈夫 2021-08-22 05:31:06,119 - INFO - main.py - - 267 - ========================== 2022-11-10 20:54:28,444 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 20:54:28,770 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 20:54:29,083 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 20:54:29,411 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 20:54:29,727 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 20:54:30,047 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 20:54:30,363 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 20:54:30,683 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 20:54:31,007 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 20:54:31,328 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 20:54:31,655 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 20:54:31,971 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 20:54:32,287 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 20:54:32,613 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 20:54:32,824 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 20:54:33,141 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 20:54:33,343 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 20:54:33,665 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 20:54:33,994 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 20:54:34,315 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 20:54:34,635 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 20:54:34,961 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 20:54:35,286 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 20:54:35,614 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 20:54:35,944 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 20:54:36,253 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 20:54:36,575 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 20:54:36,888 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 20:54:37,217 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 20:54:37,533 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 20:54:37,864 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 20:54:38,189 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 20:54:38,505 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 20:54:38,826 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 20:54:39,145 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 20:54:39,463 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 20:54:39,794 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 20:54:40,111 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 20:54:40,321 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 20:54:40,647 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 20:54:40,964 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 20:54:41,289 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 20:54:41,612 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 20:54:41,964 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 20:54:42,299 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 20:54:42,617 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 20:54:42,950 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 20:54:43,274 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 20:54:43,595 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 20:54:43,916 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 20:54:44,117 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 20:54:44,435 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 20:54:44,768 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 20:54:45,093 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 20:54:45,410 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 20:54:45,735 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 20:54:46,058 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 20:54:46,390 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 20:54:46,709 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 20:54:47,041 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 20:54:47,361 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 20:54:47,689 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 20:54:48,011 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 20:54:48,335 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 20:54:48,659 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 20:54:48,987 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 20:54:49,191 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 20:54:49,513 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 20:54:49,834 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 20:54:50,048 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 20:54:50,365 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 20:54:50,684 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 20:54:50,897 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 20:54:51,107 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 20:54:51,436 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 20:54:51,767 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 20:54:52,086 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 20:54:52,405 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 20:54:52,730 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 20:54:53,067 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 20:54:53,382 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 20:54:53,706 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 20:54:54,033 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 20:54:54,354 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 20:54:54,678 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 20:54:55,024 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 20:54:55,357 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 20:54:55,672 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 20:54:56,007 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 20:54:56,210 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 20:54:56,526 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 20:54:56,858 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 20:54:57,180 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 20:54:57,504 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 20:54:57,826 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 20:54:58,154 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 20:54:58,475 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 20:54:58,791 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 20:54:59,113 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 20:54:59,429 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 20:54:59,642 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 20:54:59,958 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 20:55:00,292 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 20:55:00,610 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 20:55:00,939 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 20:55:01,263 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 20:55:01,590 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 20:55:01,908 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 20:55:02,244 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 20:55:02,567 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 20:55:02,887 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 20:55:03,214 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 20:55:03,530 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 20:55:03,868 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 20:55:04,071 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 20:55:04,389 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 20:55:04,713 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 20:55:05,040 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 20:55:05,364 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 20:55:05,678 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 20:55:06,012 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 20:55:06,336 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 20:55:06,541 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 20:55:06,862 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 20:55:07,186 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 20:55:07,511 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 20:55:07,837 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 20:55:08,156 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 20:55:08,490 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 20:55:08,814 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 20:55:09,140 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 20:55:09,476 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 20:55:09,797 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 20:55:10,139 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 20:55:10,367 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 20:55:10,696 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 20:55:11,020 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 20:55:11,346 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 20:55:11,668 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 20:55:11,993 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 20:55:12,327 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 20:55:12,660 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 20:55:12,995 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 20:55:13,328 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 20:55:13,657 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 20:55:13,977 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 20:55:14,309 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 20:55:14,642 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 20:55:14,975 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 20:55:15,300 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 20:55:15,617 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 20:55:15,829 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 20:55:16,149 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 20:55:16,469 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 20:55:16,797 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 20:55:17,123 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 20:55:17,447 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 20:55:17,772 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 20:55:18,097 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 20:55:18,426 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 20:55:18,754 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 20:55:19,089 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 20:55:19,412 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 20:55:19,739 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 20:55:20,068 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 20:55:20,398 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 20:55:20,728 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 20:55:21,055 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 20:55:21,380 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 20:55:21,706 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 20:55:22,034 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 20:55:22,363 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 20:55:22,695 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 20:55:23,023 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 20:55:23,350 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 20:55:23,680 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 20:55:24,008 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 20:55:24,346 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 20:55:24,667 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 20:55:24,992 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 20:55:25,321 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 20:55:25,647 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 20:55:25,977 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 20:55:26,316 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 20:55:26,648 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 20:55:26,985 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 20:55:27,311 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 20:55:27,641 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 20:55:27,973 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 20:55:28,298 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 20:55:28,629 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 20:55:28,959 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 20:55:29,295 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 20:55:29,633 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 20:55:29,958 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 20:55:30,288 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 20:55:30,620 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 20:55:30,959 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 20:55:31,293 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 20:55:31,625 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 20:55:31,953 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 20:55:32,282 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 20:55:32,620 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 20:55:32,956 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 20:55:33,281 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 20:55:33,607 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 20:55:33,936 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 20:55:34,267 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 20:55:34,603 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 20:55:34,928 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 20:55:35,240 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 20:55:35,574 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 20:55:35,900 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 20:55:36,226 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 20:55:36,549 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 20:55:36,875 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 20:55:37,191 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 20:55:37,530 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 20:55:37,860 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 20:55:38,188 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 20:55:38,514 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 20:55:38,838 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 20:55:39,161 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 20:55:39,489 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 20:55:39,827 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 20:55:40,150 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 20:55:40,481 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 20:55:40,809 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 20:55:41,142 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 20:55:41,468 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 20:55:41,798 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 20:55:42,124 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 20:55:42,454 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 20:55:42,796 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 20:55:43,121 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 20:55:43,457 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 20:55:43,670 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 20:55:44,000 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 20:55:44,326 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 20:55:44,657 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 20:55:44,987 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 20:55:45,318 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 20:55:45,651 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 20:55:45,975 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 20:55:46,303 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 20:55:46,641 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 20:55:46,971 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 20:55:47,183 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 20:55:47,515 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 20:55:47,852 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 20:55:48,176 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 20:55:48,505 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 20:55:48,827 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 20:55:49,156 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 20:55:49,484 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 20:55:49,830 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 20:55:50,166 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 20:55:50,494 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 20:55:50,830 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 20:55:51,155 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 20:55:51,477 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 20:55:51,809 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 20:55:52,012 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 20:55:52,337 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 20:55:52,671 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 20:55:53,015 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 20:55:53,353 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 20:55:53,686 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 20:55:54,018 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 20:55:54,342 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 20:55:54,669 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 20:55:55,004 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 20:55:55,328 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 20:55:55,659 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 20:55:55,985 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 20:55:56,319 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 20:55:56,652 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 20:55:56,987 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 20:55:57,323 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 20:55:57,648 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 20:55:57,978 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 20:55:58,192 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 20:58:47,634 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 20:58:47,950 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 20:58:48,263 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 20:58:48,597 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 20:58:48,916 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 20:58:49,238 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 20:58:49,569 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 20:58:49,894 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 20:58:50,215 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 20:58:50,548 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 20:58:50,869 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 20:58:51,187 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 20:58:51,512 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 20:58:51,833 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 20:58:52,044 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 20:58:52,366 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 20:58:52,574 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 20:58:52,896 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 20:58:53,220 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 20:58:53,545 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 20:58:53,867 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 20:58:54,195 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 20:58:54,513 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 20:58:54,835 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 20:58:55,164 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 20:58:55,482 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 20:58:55,807 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 20:58:56,132 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 20:58:56,463 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 20:58:56,781 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 20:58:57,115 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 20:58:57,434 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 20:58:57,762 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 20:58:58,084 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 20:58:58,402 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 20:58:58,733 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 20:58:59,056 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 20:58:59,376 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 20:58:59,590 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 20:58:59,918 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 20:59:00,244 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 20:59:00,571 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 20:59:00,896 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 20:59:01,220 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 20:59:01,548 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 20:59:01,871 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 20:59:02,199 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 20:59:02,527 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 20:59:02,856 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 20:59:03,173 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 20:59:03,381 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 20:59:03,707 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 20:59:04,029 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 20:59:04,355 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 20:59:04,673 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 20:59:05,005 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 20:59:05,325 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 20:59:05,653 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 20:59:05,976 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 20:59:06,300 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 20:59:06,625 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 20:59:06,950 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 20:59:07,270 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 20:59:07,604 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 20:59:07,931 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 20:59:08,248 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 20:59:08,452 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 20:59:08,772 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 20:59:09,099 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 20:59:09,306 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 20:59:09,619 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 20:59:09,944 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 20:59:10,155 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 20:59:10,361 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 20:59:10,682 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 20:59:11,004 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 20:59:11,332 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 20:59:11,649 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 20:59:11,984 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 20:59:12,307 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 20:59:12,623 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 20:59:12,956 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 20:59:13,273 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 20:59:13,599 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 20:59:13,928 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 20:59:14,262 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 20:59:14,588 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 20:59:14,921 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 20:59:15,249 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 20:59:15,452 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 20:59:15,776 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 20:59:16,101 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 20:59:16,422 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 20:59:16,751 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 20:59:17,075 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 20:59:17,396 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 20:59:17,722 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 20:59:18,047 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 20:59:18,375 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 20:59:18,694 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 20:59:18,906 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 20:59:19,228 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 20:59:19,549 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 20:59:19,880 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 20:59:20,202 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 20:59:20,526 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 20:59:20,859 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 20:59:21,191 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 20:59:21,516 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 20:59:21,838 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 20:59:22,160 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 20:59:22,494 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 20:59:22,818 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 20:59:23,149 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 20:59:23,354 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 20:59:23,677 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 20:59:24,030 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 20:59:24,357 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 20:59:24,682 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 20:59:25,009 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 20:59:25,328 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 20:59:25,654 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 20:59:25,859 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 20:59:26,184 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 20:59:26,508 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 20:59:26,829 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 20:59:27,161 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 20:59:27,476 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 20:59:27,814 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 20:59:28,147 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 20:59:28,476 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 20:59:28,801 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 20:59:29,124 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 20:59:29,444 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 20:59:29,651 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 20:59:29,978 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 20:59:30,304 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 20:59:30,633 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 20:59:30,967 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 20:59:31,289 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 20:59:31,610 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 20:59:31,942 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 20:59:32,266 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 20:59:32,589 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 20:59:32,915 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 20:59:33,240 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 20:59:33,566 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 20:59:33,894 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 20:59:34,226 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 20:59:34,553 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 20:59:34,879 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 20:59:35,087 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 20:59:35,409 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 20:59:35,730 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 20:59:36,052 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 20:59:36,376 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 20:59:36,700 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 20:59:37,031 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 20:59:37,367 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 20:59:37,705 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 20:59:38,037 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 20:59:38,363 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 20:59:38,683 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 20:59:39,022 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 20:59:39,361 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 20:59:39,684 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 20:59:40,003 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 20:59:40,333 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 20:59:40,657 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 20:59:40,976 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 20:59:41,305 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 20:59:41,627 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 20:59:41,956 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 20:59:42,283 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 20:59:42,610 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 20:59:42,946 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 20:59:43,273 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 20:59:43,606 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 20:59:43,942 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 20:59:44,266 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 20:59:44,588 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 20:59:44,904 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 20:59:45,247 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 20:59:45,584 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 20:59:45,908 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 20:59:46,236 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 20:59:46,566 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 20:59:46,903 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 20:59:47,231 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 20:59:47,567 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 20:59:47,888 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 20:59:48,211 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 20:59:48,542 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 20:59:48,875 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 20:59:49,208 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 20:59:49,534 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 20:59:49,861 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 20:59:50,188 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 20:59:50,520 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 20:59:50,850 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 20:59:51,173 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 20:59:51,499 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 20:59:51,822 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 20:59:52,149 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 20:59:52,478 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 20:59:52,804 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 20:59:53,136 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 20:59:53,475 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 20:59:53,813 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 20:59:54,135 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 20:59:54,459 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 20:59:54,788 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 20:59:55,118 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 20:59:55,449 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 20:59:55,777 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 20:59:56,106 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 20:59:56,428 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 20:59:56,766 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 20:59:57,097 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 20:59:57,423 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 20:59:57,746 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 20:59:58,072 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 20:59:58,401 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 20:59:58,732 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 20:59:59,069 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 20:59:59,396 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 20:59:59,732 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 21:00:00,063 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 21:00:00,396 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 21:00:00,726 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 21:00:01,051 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 21:00:01,381 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 21:00:01,713 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 21:00:02,050 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 21:00:02,381 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 21:00:02,718 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 21:00:02,929 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 21:00:03,267 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 21:00:03,606 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 21:00:03,929 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 21:00:04,259 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 21:00:04,582 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 21:00:04,906 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 21:00:05,229 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 21:00:05,561 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 21:00:05,887 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 21:00:06,220 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 21:00:06,424 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 21:00:06,745 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 21:00:07,079 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 21:00:07,407 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 21:00:07,751 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 21:00:08,082 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 21:00:08,425 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 21:00:08,760 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 21:00:09,090 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 21:00:09,419 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 21:00:09,755 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 21:00:10,089 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 21:00:10,421 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 21:00:10,749 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 21:00:11,076 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 21:00:11,287 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 21:00:11,619 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 21:00:11,949 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 21:00:12,284 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 21:00:12,611 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 21:00:12,934 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 21:00:13,261 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 21:00:13,595 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 21:00:13,924 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 21:00:14,249 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 21:00:14,574 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 21:00:14,911 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 21:00:15,239 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 21:00:15,573 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 21:00:15,902 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 21:00:16,245 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 21:00:16,588 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 21:00:16,930 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 21:00:17,263 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 21:00:17,471 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 21:04:05,720 - INFO - main.py - train - 86 - train epoch0 step:0/5376 loss2.121091 2022-11-10 21:04:05,928 - INFO - main.py - train - 86 - train epoch0 step:1/5376 loss1.785275 2022-11-10 21:04:06,129 - INFO - main.py - train - 86 - train epoch0 step:2/5376 loss1.933555 2022-11-10 21:04:06,330 - INFO - main.py - train - 86 - train epoch0 step:3/5376 loss1.263676 2022-11-10 21:04:06,532 - INFO - main.py - train - 86 - train epoch0 step:4/5376 loss0.655170 2022-11-10 21:04:06,735 - INFO - main.py - train - 86 - train epoch0 step:5/5376 loss0.604076 2022-11-10 21:04:06,944 - INFO - main.py - train - 86 - train epoch0 step:6/5376 loss0.221185 2022-11-10 21:04:07,144 - INFO - main.py - train - 86 - train epoch0 step:7/5376 loss0.105497 2022-11-10 21:04:07,348 - INFO - main.py - train - 86 - train epoch0 step:8/5376 loss3.994272 2022-11-10 21:04:07,549 - INFO - main.py - train - 86 - train epoch0 step:9/5376 loss0.043503 2022-11-10 21:04:07,752 - INFO - main.py - train - 86 - train epoch0 step:10/5376 loss0.025745 2022-11-10 21:04:07,962 - INFO - main.py - train - 86 - train epoch0 step:11/5376 loss0.017760 2022-11-10 21:04:08,167 - INFO - main.py - train - 86 - train epoch0 step:12/5376 loss0.024479 2022-11-10 21:04:08,378 - INFO - main.py - train - 86 - train epoch0 step:13/5376 loss0.027146 2022-11-10 21:04:08,583 - INFO - main.py - train - 86 - train epoch0 step:14/5376 loss0.020493 2022-11-10 21:04:08,794 - INFO - main.py - train - 86 - train epoch0 step:15/5376 loss0.018558 2022-11-10 21:04:08,998 - INFO - main.py - train - 86 - train epoch0 step:16/5376 loss0.010015 2022-11-10 21:04:09,199 - INFO - main.py - train - 86 - train epoch0 step:17/5376 loss0.020938 2022-11-10 21:04:09,400 - INFO - main.py - train - 86 - train epoch0 step:18/5376 loss0.026271 2022-11-10 21:04:09,602 - INFO - main.py - train - 86 - train epoch0 step:19/5376 loss0.023948 2022-11-10 21:04:09,808 - INFO - main.py - train - 86 - train epoch0 step:20/5376 loss0.016802 2022-11-10 21:04:10,014 - INFO - main.py - train - 86 - train epoch0 step:21/5376 loss0.007378 2022-11-10 21:04:10,217 - INFO - main.py - train - 86 - train epoch0 step:22/5376 loss0.008738 2022-11-10 21:04:10,421 - INFO - main.py - train - 86 - train epoch0 step:23/5376 loss0.023336 2022-11-10 21:04:10,622 - INFO - main.py - train - 86 - train epoch0 step:24/5376 loss0.021215 2022-11-10 21:04:10,831 - INFO - main.py - train - 86 - train epoch0 step:25/5376 loss0.006310 2022-11-10 21:04:11,038 - INFO - main.py - train - 86 - train epoch0 step:26/5376 loss0.007583 2022-11-10 21:04:11,243 - INFO - main.py - train - 86 - train epoch0 step:27/5376 loss0.027602 2022-11-10 21:04:38,770 - INFO - main.py - train - 86 - train epoch0 step:0/1344 loss1.626580 2022-11-10 21:05:03,720 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:05:04,043 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 21:05:04,363 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 21:05:04,692 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 21:05:05,012 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 21:05:05,329 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 21:05:05,655 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 21:05:05,974 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 21:05:06,299 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 21:05:06,618 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 21:05:06,946 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 21:05:07,257 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 21:05:07,569 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 21:05:07,897 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 21:05:08,106 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 21:05:08,427 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 21:05:08,633 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 21:05:08,957 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 21:05:09,277 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 21:05:09,604 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 21:05:09,922 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 21:05:10,250 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 21:05:10,571 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 21:05:10,901 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 21:05:11,223 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 21:05:11,547 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 21:05:11,873 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 21:05:12,187 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 21:05:12,518 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 21:05:12,848 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 21:05:13,171 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 21:05:13,488 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 21:05:13,812 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 21:05:14,143 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 21:05:14,464 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 21:05:14,786 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 21:05:15,116 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 21:05:15,433 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 21:05:15,647 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 21:05:15,983 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 21:05:16,310 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 21:05:16,646 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 21:05:16,977 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 21:05:17,316 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 21:05:17,647 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 21:05:17,975 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 21:05:18,309 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 21:05:18,637 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 21:05:18,964 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 21:05:19,292 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 21:05:19,498 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 21:05:19,828 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 21:05:20,149 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 21:05:20,478 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 21:05:20,800 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 21:05:21,119 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 21:05:21,445 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 21:05:21,768 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 21:05:22,095 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 21:05:22,412 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 21:05:22,750 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 21:05:23,075 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 21:05:23,392 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 21:05:23,715 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 21:05:24,044 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 21:05:24,368 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 21:05:24,575 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 21:05:24,902 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 21:05:25,224 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 21:05:25,431 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 21:05:25,759 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 21:05:26,086 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 21:05:26,302 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 21:05:26,511 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 21:05:26,845 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 21:05:27,164 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 21:05:27,489 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 21:05:27,817 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 21:05:28,137 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 21:05:28,463 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 21:05:28,786 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 21:05:29,105 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 21:05:29,431 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 21:05:29,763 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 21:05:30,085 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 21:05:30,414 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 21:05:30,742 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 21:05:31,068 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 21:05:31,394 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 21:05:31,603 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 21:05:31,935 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 21:05:32,257 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 21:05:32,582 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 21:05:32,911 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 21:05:33,232 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 21:05:33,551 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 21:05:33,881 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 21:05:34,203 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 21:05:34,530 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 21:05:34,856 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 21:05:35,060 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 21:05:35,378 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 21:05:35,703 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 21:05:36,035 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 21:05:36,359 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 21:05:36,680 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 21:05:37,007 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 21:05:37,334 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 21:05:37,664 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 21:05:38,002 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 21:05:38,331 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 21:05:38,664 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 21:05:38,993 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 21:05:39,324 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 21:05:39,538 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 21:05:39,860 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 21:05:40,186 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 21:05:40,504 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 21:05:40,840 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 21:05:41,168 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 21:05:41,492 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 21:05:41,818 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 21:05:42,026 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 21:05:42,359 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 21:05:42,690 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 21:05:43,015 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 21:05:43,338 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 21:05:43,659 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 21:05:43,994 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 21:05:44,322 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 21:05:44,655 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 21:05:44,990 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 21:05:45,318 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 21:05:45,646 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 21:05:45,857 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 21:05:46,187 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 21:05:46,520 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 21:05:46,847 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 21:05:47,171 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 21:05:47,502 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 21:05:47,833 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 21:05:48,159 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 21:05:48,484 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 21:05:48,810 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 21:05:49,134 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 21:05:49,455 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 21:05:49,785 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 21:05:50,114 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 21:05:50,445 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 21:05:50,778 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 21:05:51,106 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 21:05:51,316 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 21:05:51,645 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 21:05:51,966 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 21:05:52,290 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 21:05:52,616 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 21:05:52,946 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 21:05:53,274 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 21:05:53,609 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 21:05:53,939 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 21:05:54,270 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 21:05:54,593 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 21:05:54,917 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 21:05:55,250 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 21:05:55,582 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 21:05:55,906 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 21:05:56,230 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 21:05:56,553 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 21:05:56,879 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 21:05:57,206 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 21:05:57,534 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 21:05:57,872 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 21:05:58,201 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 21:05:58,529 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 21:05:58,861 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 21:05:59,192 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 21:05:59,514 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 21:05:59,851 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 21:06:00,188 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 21:06:00,516 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 21:06:00,854 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 21:06:01,183 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 21:06:01,516 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 21:06:01,855 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 21:06:02,189 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 21:06:02,516 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 21:06:02,845 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 21:06:03,173 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 21:06:03,503 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 21:06:03,836 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 21:06:04,168 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 21:06:04,506 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 21:06:04,840 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 21:06:05,178 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 21:06:05,505 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 21:06:05,846 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 21:06:06,171 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 21:06:06,502 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 21:06:06,837 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 21:06:07,161 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 21:06:07,495 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 21:06:07,830 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 21:06:08,161 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 21:06:08,503 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 21:06:08,836 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 21:06:09,167 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 21:06:09,490 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 21:06:09,819 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 21:06:10,154 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 21:06:10,484 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 21:06:10,804 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 21:06:11,132 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 21:06:11,473 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 21:06:11,801 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 21:06:12,129 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 21:06:12,455 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 21:06:12,779 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 21:06:13,116 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 21:06:13,443 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 21:06:13,766 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 21:06:14,091 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 21:06:14,415 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 21:06:14,747 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 21:06:15,087 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 21:06:15,421 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 21:06:15,750 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 21:06:16,082 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 21:06:16,416 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 21:06:16,752 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 21:06:17,078 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 21:06:17,404 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 21:06:17,745 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 21:06:18,075 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 21:06:18,416 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 21:06:18,743 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 21:06:19,072 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 21:06:19,292 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 21:06:19,631 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 21:06:19,962 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 21:06:20,301 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 21:06:20,637 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 21:06:20,967 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 21:06:21,291 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 21:06:21,619 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 21:06:21,947 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 21:06:22,276 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 21:06:22,616 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 21:06:22,829 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 21:06:23,150 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 21:06:23,489 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 21:06:23,820 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 21:06:24,155 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 21:06:24,490 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 21:06:24,834 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 21:06:25,169 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 21:06:25,502 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 21:06:25,842 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 21:06:26,173 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 21:06:26,514 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 21:06:26,852 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 21:06:27,183 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 21:06:27,521 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 21:06:27,726 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 21:06:28,057 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 21:06:28,394 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 21:06:28,725 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 21:06:29,052 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 21:06:29,384 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 21:06:29,714 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 21:06:30,046 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 21:06:30,370 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 21:06:30,693 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 21:06:31,023 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 21:06:31,355 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 21:06:31,689 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 21:06:32,024 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 21:06:32,356 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 21:06:32,694 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 21:06:33,038 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 21:06:33,376 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 21:06:33,709 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 21:06:33,904 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 21:13:08,587 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:13:08,906 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 21:13:09,239 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 21:13:09,557 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 21:13:09,877 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 21:13:10,198 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 21:13:10,519 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 21:13:10,831 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 21:13:11,152 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 21:13:11,471 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 21:13:11,794 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 21:13:12,123 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 21:13:12,439 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 21:13:12,762 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 21:13:12,974 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 21:13:13,296 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 21:13:13,498 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 21:13:13,824 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 21:13:14,147 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 21:13:14,479 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 21:13:14,794 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 21:13:15,116 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 21:13:15,446 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 21:13:15,769 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 21:13:16,099 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 21:13:16,415 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 21:13:16,737 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 21:13:17,063 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 21:13:17,391 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 21:13:17,711 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 21:13:18,036 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 21:13:18,360 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 21:13:18,677 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 21:13:18,995 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 21:13:19,324 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 21:13:19,649 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 21:13:19,976 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 21:13:20,292 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 21:13:20,505 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 21:13:20,829 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 21:13:21,143 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 21:13:21,483 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 21:13:21,806 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 21:13:22,129 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 21:13:22,454 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 21:13:22,775 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 21:13:23,100 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 21:13:23,426 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 21:13:23,746 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 21:13:24,071 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 21:13:24,278 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 21:13:24,595 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 21:13:24,927 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 21:13:25,251 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 21:13:25,573 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 21:13:25,893 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 21:13:26,223 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 21:13:26,548 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 21:13:26,874 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 21:13:27,194 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 21:13:27,523 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 21:13:27,848 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 21:13:28,165 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 21:13:28,498 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 21:13:28,818 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 21:13:29,139 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 21:13:29,350 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 21:13:29,668 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 21:13:29,996 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 21:13:30,200 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 21:13:30,516 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 21:13:30,841 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 21:13:31,052 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 21:13:31,256 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 21:13:31,580 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 21:13:31,903 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 21:13:32,227 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 21:13:32,553 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 21:13:32,881 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 21:13:33,202 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 21:13:33,526 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 21:13:33,850 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 21:13:34,175 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 21:13:34,498 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 21:13:34,824 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 21:13:35,155 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 21:13:35,481 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 21:13:35,802 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 21:13:36,129 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 21:13:36,332 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 21:13:36,652 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 21:13:36,978 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 21:13:37,298 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 21:13:37,634 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 21:13:37,960 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 21:13:38,284 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 21:13:38,619 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 21:13:38,942 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 21:13:39,269 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 21:13:39,589 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 21:13:39,796 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 21:13:40,118 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 21:13:40,443 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 21:13:40,770 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 21:13:41,091 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 21:13:41,420 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 21:13:41,747 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 21:13:42,067 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 21:13:42,388 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 21:13:42,720 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 21:13:43,042 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 21:13:43,365 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 21:13:43,695 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 21:13:44,020 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 21:13:44,222 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 21:13:44,546 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 21:13:44,873 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 21:13:45,192 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 21:13:45,515 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 21:13:45,837 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 21:13:46,171 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 21:13:46,491 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 21:13:46,694 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 21:13:47,017 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 21:13:47,340 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 21:13:47,657 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 21:13:47,990 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 21:13:48,313 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 21:13:48,634 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 21:13:48,968 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 21:13:49,293 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 21:13:49,622 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 21:13:49,953 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 21:13:50,275 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 21:13:50,489 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 21:13:50,814 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 21:13:51,135 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 21:13:51,454 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 21:13:51,772 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 21:13:52,104 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 21:13:52,426 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 21:13:52,746 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 21:13:53,080 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 21:13:53,405 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 21:13:53,726 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 21:13:54,059 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 21:13:54,396 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 21:13:54,718 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 21:13:55,042 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 21:13:55,366 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 21:13:55,693 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 21:13:55,904 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 21:13:56,227 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 21:13:56,545 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 21:13:56,868 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 21:13:57,194 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 21:13:57,519 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 21:13:57,838 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 21:13:58,163 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 21:13:58,491 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 21:13:58,811 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 21:13:59,138 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 21:13:59,460 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 21:13:59,783 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 21:14:00,132 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 21:14:00,455 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 21:14:00,783 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 21:14:01,107 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 21:14:01,431 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 21:14:01,753 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 21:14:02,086 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 21:14:02,408 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 21:14:02,732 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 21:14:03,060 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 21:14:03,381 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 21:14:03,706 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 21:14:04,035 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 21:14:04,371 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 21:14:04,693 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 21:14:05,029 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 21:14:05,356 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 21:14:05,685 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 21:14:06,016 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 21:14:06,346 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 21:14:06,675 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 21:14:07,011 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 21:14:07,333 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 21:14:07,656 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 21:14:07,974 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 21:14:08,301 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 21:14:08,622 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 21:14:08,961 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 21:14:09,299 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 21:14:09,621 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 21:14:09,950 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 21:14:10,283 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 21:14:10,613 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 21:14:10,940 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 21:14:11,273 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 21:14:11,598 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 21:14:11,922 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 21:14:12,250 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 21:14:12,580 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 21:14:12,917 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 21:14:13,246 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 21:14:13,574 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 21:14:13,902 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 21:14:14,234 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 21:14:14,561 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 21:14:14,889 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 21:14:15,222 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 21:14:15,546 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 21:14:15,875 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 21:14:16,207 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 21:14:16,541 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 21:14:16,872 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 21:14:17,200 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 21:14:17,537 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 21:14:17,862 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 21:14:18,199 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 21:14:18,523 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 21:14:18,850 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 21:14:19,180 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 21:14:19,510 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 21:14:19,845 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 21:14:20,172 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 21:14:20,507 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 21:14:20,842 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 21:14:21,179 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 21:14:21,506 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 21:14:21,830 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 21:14:22,155 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 21:14:22,485 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 21:14:22,818 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 21:14:23,149 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 21:14:23,476 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 21:14:23,690 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 21:14:24,022 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 21:14:24,351 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 21:14:24,684 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 21:14:25,014 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 21:14:25,332 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 21:14:25,660 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 21:14:25,988 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 21:14:26,317 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 21:14:26,645 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 21:14:26,975 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 21:14:27,183 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 21:14:27,507 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 21:14:27,834 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 21:14:28,161 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 21:14:28,498 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 21:14:28,825 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 21:14:29,159 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 21:14:29,498 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 21:14:29,838 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 21:14:30,169 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 21:14:30,508 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 21:14:30,839 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 21:14:31,174 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 21:14:31,504 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 21:14:31,831 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 21:14:32,044 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 21:14:32,374 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 21:14:32,705 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 21:14:33,039 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 21:14:33,364 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 21:14:33,692 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 21:14:34,028 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 21:14:34,357 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 21:14:34,685 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 21:14:35,011 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 21:14:35,343 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 21:14:35,681 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 21:14:36,020 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 21:14:36,351 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 21:14:36,683 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 21:14:37,020 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 21:14:37,363 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 21:14:37,700 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 21:14:38,032 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 21:14:38,244 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 21:17:38,101 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:17:38,422 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 21:17:38,745 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 21:17:39,070 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 21:17:39,399 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 21:17:39,722 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 21:17:40,054 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 21:17:40,371 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 21:17:40,701 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 21:17:41,025 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 21:17:41,351 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 21:17:41,669 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 21:17:41,996 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 21:17:42,320 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 21:17:42,527 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 21:17:42,848 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 21:17:43,058 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 21:17:43,381 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 21:17:43,710 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 21:17:44,037 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 21:17:44,360 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 21:19:48,963 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:22:29,416 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:22:29,736 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 21:22:30,064 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 21:22:30,399 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 21:22:30,714 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 21:22:31,040 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 21:22:31,376 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 21:22:31,692 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 21:22:32,015 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 21:22:32,339 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 21:22:32,664 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 21:22:32,986 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 21:22:33,312 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 21:22:33,634 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 21:22:33,845 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 21:22:34,168 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 21:22:34,373 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 21:22:34,695 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 21:22:35,015 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 21:22:35,347 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 21:22:35,665 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 21:22:35,985 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 21:22:36,316 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 21:22:36,634 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 21:22:36,963 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 21:22:37,281 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 21:22:37,608 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 21:22:37,935 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 21:22:38,267 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 21:22:38,583 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 21:22:38,918 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 21:22:39,240 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 21:22:39,561 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 21:22:39,882 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 21:22:40,208 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 21:22:40,533 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 21:22:40,859 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 21:22:41,184 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 21:22:41,397 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 21:22:41,729 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 21:22:42,067 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 21:22:42,397 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 21:22:42,733 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 21:22:43,066 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 21:22:43,408 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 21:22:43,746 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 21:22:44,074 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 21:22:44,409 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 21:22:44,733 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 21:22:45,056 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 21:22:45,262 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 21:22:45,591 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 21:22:45,928 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 21:22:46,253 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 21:22:46,583 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 21:22:46,904 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 21:22:47,229 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 21:22:47,555 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 21:22:47,880 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 21:22:48,200 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 21:22:48,526 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 21:22:48,855 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 21:22:49,180 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 21:22:49,507 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 21:22:49,826 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 21:22:50,152 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 21:22:50,360 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 21:22:50,687 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 21:22:51,016 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 21:22:51,228 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 21:22:51,550 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 21:22:51,868 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 21:22:52,083 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 21:22:52,289 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 21:22:52,620 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 21:22:52,946 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 21:22:53,270 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 21:22:53,596 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 21:22:53,915 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 21:22:54,250 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 21:22:54,566 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 21:24:03,101 - INFO - main.py - - 290 - ========в======== 2022-11-10 21:24:50,347 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:24:50,660 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 21:24:50,978 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 21:24:51,302 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 21:24:51,627 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 21:24:51,956 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 21:24:52,283 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 21:24:52,600 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 21:24:52,926 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 21:24:53,249 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 21:24:53,577 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 21:24:53,908 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 21:24:54,224 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 21:24:54,549 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 21:24:54,766 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 21:24:55,090 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 21:24:55,298 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 21:24:55,631 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 21:24:55,959 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 21:24:56,286 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 21:24:56,604 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 21:24:56,921 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 21:24:57,242 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 21:24:57,563 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 21:24:57,894 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 21:24:58,221 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 21:24:58,540 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 21:24:58,867 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 21:24:59,214 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 21:24:59,538 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 21:24:59,874 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 21:25:00,190 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 21:25:00,510 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 21:25:00,841 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 21:25:01,166 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 21:25:01,481 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 21:25:01,810 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 21:25:02,130 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 21:25:02,339 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 21:25:02,666 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 21:25:02,987 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 21:25:03,310 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 21:25:03,642 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 21:25:03,969 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 21:25:04,294 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 21:25:04,614 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 21:25:04,936 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 21:25:05,264 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 21:25:05,590 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 21:25:05,910 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 21:25:06,113 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 21:25:06,426 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 21:25:06,761 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 21:25:07,091 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 21:25:07,410 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 21:25:07,729 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 21:25:08,063 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 21:25:08,382 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 21:25:08,709 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 21:25:09,027 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 21:25:09,357 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 21:25:09,683 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 21:25:10,006 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 21:25:10,325 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 21:25:10,651 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 21:25:10,982 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 21:25:11,186 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 21:25:11,507 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 21:25:11,825 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 21:25:12,040 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 21:25:12,356 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 21:25:12,674 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 21:25:12,888 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 21:25:13,103 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 21:25:13,432 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 21:25:13,755 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 21:25:14,079 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 21:25:14,403 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 21:25:14,729 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 21:25:15,058 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 21:25:15,371 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 21:25:15,699 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 21:25:16,029 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 21:25:16,347 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 21:25:16,676 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 21:25:17,003 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 21:25:17,329 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 21:25:17,651 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 21:25:17,976 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 21:25:18,179 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 21:25:18,497 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 21:25:18,829 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 21:25:19,150 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 21:25:19,472 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 21:25:19,796 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 21:25:20,129 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 21:25:20,452 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 21:25:20,767 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 21:25:21,101 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 21:25:21,420 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 21:25:21,632 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 21:25:21,959 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 21:25:22,283 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 21:25:22,606 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 21:25:22,927 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 21:25:23,255 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 21:25:23,581 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 21:25:23,904 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 21:25:24,231 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 21:25:24,558 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 21:25:24,895 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 21:25:25,225 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 21:25:25,548 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 21:25:25,881 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 21:25:26,090 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 21:25:26,412 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 21:25:26,738 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 21:25:27,057 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 21:25:27,397 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 21:25:27,725 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 21:25:28,064 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 21:25:28,397 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 21:25:28,604 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 21:25:28,925 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 21:25:29,257 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 21:25:29,579 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 21:25:29,901 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 21:25:30,226 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 21:25:30,552 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 21:25:30,874 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 21:25:31,196 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 21:25:31,526 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 21:25:31,849 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 21:25:32,173 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 21:25:32,382 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 21:25:32,711 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 21:25:33,042 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 21:25:33,366 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 21:25:33,687 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 21:25:34,022 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 21:25:34,345 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 21:25:34,665 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 21:25:34,989 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 21:25:35,315 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 21:25:35,634 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 21:25:35,958 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 21:25:36,296 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 21:25:36,632 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 21:25:36,957 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 21:25:37,285 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 21:25:37,624 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 21:25:37,827 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 21:25:38,151 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 21:25:38,471 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 21:25:38,799 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 21:25:39,126 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 21:25:39,446 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 21:25:39,776 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 21:25:40,105 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 21:25:40,440 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 21:25:40,769 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 21:25:41,094 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 21:25:41,421 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 21:25:41,752 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 21:25:42,095 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 21:25:42,428 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 21:25:42,750 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 21:25:43,074 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 21:25:43,410 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 21:25:43,745 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 21:25:44,070 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 21:25:44,397 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 21:25:44,729 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 21:25:45,063 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 21:25:45,393 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 21:25:45,722 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 21:25:46,051 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 21:25:46,391 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 21:25:46,714 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 21:25:47,043 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 21:25:47,377 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 21:25:47,701 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 21:25:48,030 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 21:25:48,356 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 21:25:48,686 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 21:25:49,019 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 21:25:49,340 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 21:25:49,667 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 21:25:49,992 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 21:25:50,316 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 21:25:50,641 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 21:25:50,966 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 21:25:51,293 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 21:25:51,625 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 21:25:51,957 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 21:25:52,286 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 21:25:52,616 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 21:25:52,956 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 21:25:53,288 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 21:25:53,620 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 21:25:53,952 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 21:25:54,288 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 21:25:54,615 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 21:25:54,944 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 21:25:55,273 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 21:25:55,605 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 21:25:55,927 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 21:25:56,258 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 21:25:56,587 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 21:25:56,915 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 21:25:57,245 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 21:25:57,577 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 21:25:57,911 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 21:25:58,239 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 21:25:58,579 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 21:25:58,914 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 21:25:59,234 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 21:25:59,573 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 21:25:59,907 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 21:26:00,234 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 21:26:00,563 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 21:26:00,897 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 21:26:01,223 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 21:26:01,551 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 21:26:01,877 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 21:26:02,199 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 21:26:02,529 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 21:26:02,859 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 21:26:03,194 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 21:26:03,522 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 21:26:03,852 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 21:26:04,191 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 21:26:04,520 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 21:26:04,863 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 21:26:05,195 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 21:26:05,530 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 21:26:05,747 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 21:26:06,071 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 21:26:06,402 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 21:26:06,728 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 21:26:07,066 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 21:26:07,384 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 21:26:07,716 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 21:26:08,040 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 21:26:08,363 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 21:26:08,694 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 21:26:09,035 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 21:26:09,248 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 21:26:09,586 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 21:26:09,922 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 21:26:10,250 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 21:26:10,584 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 21:26:10,918 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 21:26:11,251 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 21:26:11,592 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 21:26:11,929 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 21:26:12,259 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 21:26:12,582 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 21:26:12,913 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 21:26:13,246 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 21:26:13,568 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 21:26:13,905 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 21:26:14,115 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 21:26:14,450 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 21:26:14,782 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 21:26:15,119 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 21:26:15,450 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 21:26:15,788 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 21:26:16,115 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 21:26:16,441 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 21:26:16,778 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 21:26:17,099 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 21:26:17,423 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 21:26:17,757 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 21:26:18,091 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 21:26:18,423 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 21:26:18,744 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 21:26:19,082 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 21:26:19,426 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 21:26:19,765 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 21:26:20,104 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 21:26:20,312 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 21:37:11,770 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 21:37:23,600 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 21:37:28,611 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 21:37:30,650 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 21:37:33,039 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 21:37:35,188 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 21:37:37,568 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 21:37:44,882 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 21:37:49,052 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 21:37:53,069 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 21:37:55,303 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 21:38:00,519 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 21:38:14,775 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 21:38:17,302 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 21:38:19,608 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 21:38:21,576 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 21:38:23,408 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 21:38:25,476 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 21:38:27,468 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 21:38:29,436 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 21:38:31,416 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 21:38:35,022 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 21:38:37,412 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 21:38:38,922 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 21:38:40,216 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 21:38:41,170 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 21:38:41,887 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 21:38:42,570 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 21:38:43,315 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 21:38:44,023 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 21:38:44,742 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 21:38:45,462 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 21:38:46,179 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 21:38:47,004 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 21:38:47,753 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 21:38:48,482 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 21:38:49,254 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 21:38:50,054 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 21:38:50,701 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 21:38:51,663 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 21:38:52,501 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 21:38:53,331 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 21:38:54,186 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 21:38:55,051 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 21:38:55,911 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 21:38:56,779 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 21:38:57,625 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 21:38:58,565 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 21:38:59,459 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 21:39:02,182 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 21:39:03,939 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 21:39:05,392 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 21:39:06,318 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 21:39:07,189 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 21:39:08,105 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 21:39:09,051 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 21:39:09,956 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 21:39:10,843 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 21:39:11,650 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 21:39:12,499 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 21:39:13,368 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 21:39:14,278 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 21:39:15,095 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 21:39:16,314 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 21:39:17,213 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 21:39:18,059 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 21:39:18,789 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 21:39:19,569 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 21:39:20,423 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 21:39:21,186 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 21:39:22,140 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 21:39:23,072 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 21:39:23,827 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 21:39:24,530 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 21:39:25,364 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 21:39:26,310 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 21:39:27,322 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 21:39:28,285 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 21:39:29,197 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 21:39:30,071 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 21:39:30,969 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 21:39:31,809 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 21:39:32,924 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 21:39:33,859 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 21:39:34,793 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 21:39:35,649 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 21:39:36,492 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 21:39:37,360 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 21:39:38,360 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 21:39:39,112 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 21:39:40,162 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 21:39:41,088 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 21:39:41,991 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 21:39:42,842 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 21:39:43,701 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 21:39:44,559 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 21:39:45,704 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 21:39:46,701 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 21:39:47,574 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 21:39:48,516 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 21:39:49,269 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 21:39:50,010 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 21:39:50,872 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 21:39:51,742 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 21:39:52,627 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 21:39:53,515 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 21:39:54,428 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 21:39:55,207 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 21:39:56,031 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 21:39:56,879 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 21:39:57,875 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 21:39:58,714 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 21:39:59,654 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 21:40:00,575 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 21:40:01,368 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 21:40:02,410 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 21:40:03,381 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 21:40:04,298 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 21:40:05,244 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 21:40:06,168 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 21:40:07,057 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 21:40:08,116 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 21:40:08,879 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 21:40:09,874 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 21:40:10,794 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 21:40:11,800 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 21:40:12,868 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 21:40:14,575 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 21:40:16,096 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 21:40:17,130 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 21:40:18,418 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 21:40:19,439 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 21:40:20,513 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 21:40:21,500 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 21:40:22,431 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 21:40:23,324 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 21:40:24,304 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 21:40:25,272 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 21:40:27,086 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 21:40:28,955 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 21:40:29,904 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 21:40:31,866 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 21:40:41,822 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 21:40:45,170 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 21:40:46,091 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 21:40:46,923 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 21:40:47,728 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 21:40:48,597 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 21:40:49,480 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 21:40:50,309 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 21:40:51,256 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 21:40:52,125 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 21:40:53,109 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 21:40:53,993 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 21:40:54,893 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 21:40:55,783 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 21:40:56,629 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 21:40:57,522 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 21:41:06,960 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 21:41:07,935 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 21:41:08,785 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 21:41:10,709 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 21:41:11,659 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 21:41:12,567 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 21:41:13,418 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 21:41:14,260 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 21:41:15,068 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 21:41:15,924 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 21:41:16,799 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 21:41:17,646 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 21:41:18,483 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 21:41:19,340 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 21:41:20,185 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 21:41:21,017 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 21:41:21,883 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 21:41:24,532 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 21:41:25,338 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 21:41:26,150 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 21:41:26,949 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 21:41:27,800 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 21:41:30,812 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 21:41:33,817 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 21:41:34,665 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 21:41:35,448 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 21:41:36,303 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 21:41:37,138 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 21:41:37,985 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 21:41:38,842 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 21:41:39,696 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 21:41:40,536 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 21:41:41,375 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 21:42:03,203 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 21:42:33,860 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 21:42:36,393 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 21:42:38,165 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 21:42:39,955 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 21:42:41,877 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 21:42:42,834 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 21:42:43,679 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 21:42:44,377 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 21:42:45,091 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 21:42:45,878 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 21:42:46,792 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 21:42:58,947 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 21:42:59,745 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 21:43:00,570 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 21:43:01,394 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 21:43:02,110 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 21:43:02,790 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 21:43:03,514 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 21:43:04,219 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 21:43:04,948 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 21:43:05,675 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 21:43:11,211 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 21:43:12,038 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 21:43:12,874 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 21:43:13,592 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 21:43:14,309 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 21:43:15,146 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 21:43:15,916 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 21:43:16,805 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 21:43:17,530 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 21:43:18,296 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 21:43:19,032 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 21:43:19,829 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 21:43:20,581 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 21:43:21,385 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 21:43:22,168 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 21:43:22,960 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 21:43:23,695 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 21:43:24,439 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 21:43:25,251 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 21:43:25,990 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 21:43:26,758 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 21:43:27,539 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 21:43:28,354 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 21:43:29,044 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 21:43:29,946 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 21:43:30,728 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 21:43:31,557 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 21:43:32,345 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 21:43:33,175 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 21:43:34,027 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 21:43:34,863 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 21:43:35,662 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 21:43:36,476 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 21:43:37,279 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 21:43:37,984 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 21:43:38,928 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 21:43:52,252 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 21:43:53,364 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 21:43:59,267 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 21:43:59,955 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 21:44:00,639 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 21:44:01,327 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 21:44:02,065 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 21:44:02,964 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 21:44:03,713 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 21:44:04,511 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 21:44:05,452 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 21:44:06,213 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 21:44:06,999 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 21:44:11,440 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 21:44:15,324 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 21:44:25,210 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 21:44:29,616 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 21:44:30,374 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 21:44:31,199 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 21:44:31,890 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 21:44:32,602 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 21:44:33,326 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 21:44:34,090 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 21:44:34,858 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 21:44:35,671 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 21:44:40,087 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 21:44:48,935 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 21:44:58,941 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 21:45:24,793 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 21:45:35,433 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 21:46:50,125 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 21:47:58,615 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 21:52:05,197 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 22:15:27,536 - INFO - main.py - train - 86 - train epoch0 step:0/2688 loss1.694482 2022-11-10 22:15:27,868 - INFO - main.py - train - 86 - train epoch0 step:1/2688 loss1.499144 2022-11-10 22:15:28,200 - INFO - main.py - train - 86 - train epoch0 step:2/2688 loss1.123996 2022-11-10 22:15:28,529 - INFO - main.py - train - 86 - train epoch0 step:3/2688 loss0.625085 2022-11-10 22:15:28,849 - INFO - main.py - train - 86 - train epoch0 step:4/2688 loss1.164915 2022-11-10 22:15:29,171 - INFO - main.py - train - 86 - train epoch0 step:5/2688 loss0.201317 2022-11-10 22:15:29,499 - INFO - main.py - train - 86 - train epoch0 step:6/2688 loss0.209974 2022-11-10 22:15:29,821 - INFO - main.py - train - 86 - train epoch0 step:7/2688 loss0.069630 2022-11-10 22:15:30,145 - INFO - main.py - train - 86 - train epoch0 step:8/2688 loss0.066316 2022-11-10 22:15:30,472 - INFO - main.py - train - 86 - train epoch0 step:9/2688 loss0.030863 2022-11-10 22:15:30,798 - INFO - main.py - train - 86 - train epoch0 step:10/2688 loss0.035351 2022-11-10 22:15:31,117 - INFO - main.py - train - 86 - train epoch0 step:11/2688 loss0.016563 2022-11-10 22:15:31,440 - INFO - main.py - train - 86 - train epoch0 step:12/2688 loss0.019172 2022-11-10 22:15:31,767 - INFO - main.py - train - 86 - train epoch0 step:13/2688 loss0.016066 2022-11-10 22:15:31,974 - INFO - main.py - train - 86 - train epoch0 step:14/2688 loss0.011039 2022-11-10 22:15:32,295 - INFO - main.py - train - 86 - train epoch0 step:15/2688 loss0.007865 2022-11-10 22:15:32,501 - INFO - main.py - train - 86 - train epoch0 step:16/2688 loss0.003502 2022-11-10 22:15:32,826 - INFO - main.py - train - 86 - train epoch0 step:17/2688 loss0.009001 2022-11-10 22:15:33,150 - INFO - main.py - train - 86 - train epoch0 step:18/2688 loss0.005158 2022-11-10 22:15:33,480 - INFO - main.py - train - 86 - train epoch0 step:19/2688 loss0.003290 2022-11-10 22:15:33,808 - INFO - main.py - train - 86 - train epoch0 step:20/2688 loss0.003202 2022-11-10 22:15:34,137 - INFO - main.py - train - 86 - train epoch0 step:21/2688 loss0.005262 2022-11-10 22:15:34,466 - INFO - main.py - train - 86 - train epoch0 step:22/2688 loss0.003604 2022-11-10 22:15:34,785 - INFO - main.py - train - 86 - train epoch0 step:23/2688 loss0.003385 2022-11-10 22:15:35,117 - INFO - main.py - train - 86 - train epoch0 step:24/2688 loss0.001615 2022-11-10 22:15:35,434 - INFO - main.py - train - 86 - train epoch0 step:25/2688 loss0.003858 2022-11-10 22:15:35,759 - INFO - main.py - train - 86 - train epoch0 step:26/2688 loss0.003558 2022-11-10 22:15:36,083 - INFO - main.py - train - 86 - train epoch0 step:27/2688 loss0.001739 2022-11-10 22:15:36,412 - INFO - main.py - train - 86 - train epoch0 step:28/2688 loss4.105797 2022-11-10 22:15:36,734 - INFO - main.py - train - 86 - train epoch0 step:29/2688 loss0.005065 2022-11-10 22:15:37,062 - INFO - main.py - train - 86 - train epoch0 step:30/2688 loss0.003172 2022-11-10 22:15:37,383 - INFO - main.py - train - 86 - train epoch0 step:31/2688 loss0.003677 2022-11-10 22:15:37,705 - INFO - main.py - train - 86 - train epoch0 step:32/2688 loss3.325720 2022-11-10 22:15:38,027 - INFO - main.py - train - 86 - train epoch0 step:33/2688 loss3.143489 2022-11-10 22:15:38,352 - INFO - main.py - train - 86 - train epoch0 step:34/2688 loss0.008313 2022-11-10 22:15:38,679 - INFO - main.py - train - 86 - train epoch0 step:35/2688 loss0.007896 2022-11-10 22:15:39,007 - INFO - main.py - train - 86 - train epoch0 step:36/2688 loss0.013320 2022-11-10 22:15:39,333 - INFO - main.py - train - 86 - train epoch0 step:37/2688 loss0.022339 2022-11-10 22:15:39,543 - INFO - main.py - train - 86 - train epoch0 step:38/2688 loss0.051035 2022-11-10 22:15:39,881 - INFO - main.py - train - 86 - train epoch0 step:39/2688 loss0.036786 2022-11-10 22:15:40,201 - INFO - main.py - train - 86 - train epoch0 step:40/2688 loss0.093870 2022-11-10 22:15:40,527 - INFO - main.py - train - 86 - train epoch0 step:41/2688 loss0.106166 2022-11-10 22:15:40,856 - INFO - main.py - train - 86 - train epoch0 step:42/2688 loss0.078973 2022-11-10 22:15:41,190 - INFO - main.py - train - 86 - train epoch0 step:43/2688 loss0.079709 2022-11-10 22:15:41,523 - INFO - main.py - train - 86 - train epoch0 step:44/2688 loss0.065056 2022-11-10 22:15:41,847 - INFO - main.py - train - 86 - train epoch0 step:45/2688 loss0.028478 2022-11-10 22:15:42,172 - INFO - main.py - train - 86 - train epoch0 step:46/2688 loss0.040557 2022-11-10 22:15:42,496 - INFO - main.py - train - 86 - train epoch0 step:47/2688 loss0.044330 2022-11-10 22:15:42,823 - INFO - main.py - train - 86 - train epoch0 step:48/2688 loss0.042373 2022-11-10 22:15:43,149 - INFO - main.py - train - 86 - train epoch0 step:49/2688 loss0.033207 2022-11-10 22:15:43,360 - INFO - main.py - train - 86 - train epoch0 step:50/2688 loss0.029671 2022-11-10 22:15:43,680 - INFO - main.py - train - 86 - train epoch0 step:51/2688 loss2.401934 2022-11-10 22:15:44,012 - INFO - main.py - train - 86 - train epoch0 step:52/2688 loss1.383365 2022-11-10 22:15:44,341 - INFO - main.py - train - 86 - train epoch0 step:53/2688 loss0.064671 2022-11-10 22:15:44,672 - INFO - main.py - train - 86 - train epoch0 step:54/2688 loss1.728102 2022-11-10 22:15:45,017 - INFO - main.py - train - 86 - train epoch0 step:55/2688 loss0.073153 2022-11-10 22:15:45,352 - INFO - main.py - train - 86 - train epoch0 step:56/2688 loss0.921958 2022-11-10 22:15:45,683 - INFO - main.py - train - 86 - train epoch0 step:57/2688 loss0.241711 2022-11-10 22:15:46,017 - INFO - main.py - train - 86 - train epoch0 step:58/2688 loss3.817934 2022-11-10 22:15:46,342 - INFO - main.py - train - 86 - train epoch0 step:59/2688 loss0.831552 2022-11-10 22:15:46,672 - INFO - main.py - train - 86 - train epoch0 step:60/2688 loss0.653378 2022-11-10 22:15:47,002 - INFO - main.py - train - 86 - train epoch0 step:61/2688 loss1.165219 2022-11-10 22:15:47,330 - INFO - main.py - train - 86 - train epoch0 step:62/2688 loss0.423998 2022-11-10 22:15:47,668 - INFO - main.py - train - 86 - train epoch0 step:63/2688 loss0.529469 2022-11-10 22:15:47,994 - INFO - main.py - train - 86 - train epoch0 step:64/2688 loss0.209547 2022-11-10 22:15:48,317 - INFO - main.py - train - 86 - train epoch0 step:65/2688 loss0.323792 2022-11-10 22:15:48,522 - INFO - main.py - train - 86 - train epoch0 step:66/2688 loss0.070411 2022-11-10 22:15:48,857 - INFO - main.py - train - 86 - train epoch0 step:67/2688 loss1.155958 2022-11-10 22:15:49,187 - INFO - main.py - train - 86 - train epoch0 step:68/2688 loss0.070195 2022-11-10 22:15:49,392 - INFO - main.py - train - 86 - train epoch0 step:69/2688 loss0.034961 2022-11-10 22:15:49,714 - INFO - main.py - train - 86 - train epoch0 step:70/2688 loss0.055601 2022-11-10 22:15:50,038 - INFO - main.py - train - 86 - train epoch0 step:71/2688 loss0.069085 2022-11-10 22:15:50,249 - INFO - main.py - train - 86 - train epoch0 step:72/2688 loss0.051325 2022-11-10 22:15:50,465 - INFO - main.py - train - 86 - train epoch0 step:73/2688 loss0.041386 2022-11-10 22:15:50,794 - INFO - main.py - train - 86 - train epoch0 step:74/2688 loss0.032641 2022-11-10 22:15:51,126 - INFO - main.py - train - 86 - train epoch0 step:75/2688 loss0.028716 2022-11-10 22:15:51,451 - INFO - main.py - train - 86 - train epoch0 step:76/2688 loss0.034587 2022-11-10 22:15:51,772 - INFO - main.py - train - 86 - train epoch0 step:77/2688 loss0.018762 2022-11-10 22:15:52,102 - INFO - main.py - train - 86 - train epoch0 step:78/2688 loss0.024614 2022-11-10 22:15:52,429 - INFO - main.py - train - 86 - train epoch0 step:79/2688 loss0.022620 2022-11-10 22:15:52,754 - INFO - main.py - train - 86 - train epoch0 step:80/2688 loss0.011791 2022-11-10 22:15:53,077 - INFO - main.py - train - 86 - train epoch0 step:81/2688 loss0.031193 2022-11-10 22:15:53,401 - INFO - main.py - train - 86 - train epoch0 step:82/2688 loss2.813082 2022-11-10 22:15:53,726 - INFO - main.py - train - 86 - train epoch0 step:83/2688 loss0.017672 2022-11-10 22:15:54,044 - INFO - main.py - train - 86 - train epoch0 step:84/2688 loss0.035989 2022-11-10 22:15:54,381 - INFO - main.py - train - 86 - train epoch0 step:85/2688 loss0.024666 2022-11-10 22:15:54,725 - INFO - main.py - train - 86 - train epoch0 step:86/2688 loss0.029573 2022-11-10 22:15:55,052 - INFO - main.py - train - 86 - train epoch0 step:87/2688 loss0.012805 2022-11-10 22:15:55,404 - INFO - main.py - train - 86 - train epoch0 step:88/2688 loss0.016364 2022-11-10 22:15:55,614 - INFO - main.py - train - 86 - train epoch0 step:89/2688 loss0.012542 2022-11-10 22:15:55,943 - INFO - main.py - train - 86 - train epoch0 step:90/2688 loss0.011016 2022-11-10 22:15:56,282 - INFO - main.py - train - 86 - train epoch0 step:91/2688 loss0.016467 2022-11-10 22:15:56,606 - INFO - main.py - train - 86 - train epoch0 step:92/2688 loss0.020575 2022-11-10 22:15:56,941 - INFO - main.py - train - 86 - train epoch0 step:93/2688 loss0.018162 2022-11-10 22:15:57,272 - INFO - main.py - train - 86 - train epoch0 step:94/2688 loss0.010983 2022-11-10 22:15:57,599 - INFO - main.py - train - 86 - train epoch0 step:95/2688 loss0.015166 2022-11-10 22:15:57,933 - INFO - main.py - train - 86 - train epoch0 step:96/2688 loss2.882608 2022-11-10 22:15:58,261 - INFO - main.py - train - 86 - train epoch0 step:97/2688 loss1.593594 2022-11-10 22:15:58,598 - INFO - main.py - train - 86 - train epoch0 step:98/2688 loss0.017314 2022-11-10 22:15:58,926 - INFO - main.py - train - 86 - train epoch0 step:99/2688 loss0.017287 2022-11-10 22:15:59,139 - INFO - main.py - train - 86 - train epoch0 step:100/2688 loss0.049522 2022-11-10 22:15:59,467 - INFO - main.py - train - 86 - train epoch0 step:101/2688 loss0.027292 2022-11-10 22:15:59,796 - INFO - main.py - train - 86 - train epoch0 step:102/2688 loss0.037234 2022-11-10 22:16:00,126 - INFO - main.py - train - 86 - train epoch0 step:103/2688 loss0.036596 2022-11-10 22:16:00,457 - INFO - main.py - train - 86 - train epoch0 step:104/2688 loss1.457014 2022-11-10 22:16:00,790 - INFO - main.py - train - 86 - train epoch0 step:105/2688 loss0.044092 2022-11-10 22:16:01,124 - INFO - main.py - train - 86 - train epoch0 step:106/2688 loss0.067292 2022-11-10 22:16:01,460 - INFO - main.py - train - 86 - train epoch0 step:107/2688 loss1.623168 2022-11-10 22:16:01,795 - INFO - main.py - train - 86 - train epoch0 step:108/2688 loss0.115475 2022-11-10 22:16:02,131 - INFO - main.py - train - 86 - train epoch0 step:109/2688 loss0.247144 2022-11-10 22:16:02,471 - INFO - main.py - train - 86 - train epoch0 step:110/2688 loss0.135680 2022-11-10 22:16:02,812 - INFO - main.py - train - 86 - train epoch0 step:111/2688 loss0.117617 2022-11-10 22:16:03,136 - INFO - main.py - train - 86 - train epoch0 step:112/2688 loss0.190472 2022-11-10 22:16:03,467 - INFO - main.py - train - 86 - train epoch0 step:113/2688 loss0.156819 2022-11-10 22:16:03,675 - INFO - main.py - train - 86 - train epoch0 step:114/2688 loss0.067849 2022-11-10 22:16:04,005 - INFO - main.py - train - 86 - train epoch0 step:115/2688 loss0.125511 2022-11-10 22:16:04,334 - INFO - main.py - train - 86 - train epoch0 step:116/2688 loss0.179801 2022-11-10 22:16:04,659 - INFO - main.py - train - 86 - train epoch0 step:117/2688 loss0.169508 2022-11-10 22:16:04,993 - INFO - main.py - train - 86 - train epoch0 step:118/2688 loss0.064129 2022-11-10 22:16:05,326 - INFO - main.py - train - 86 - train epoch0 step:119/2688 loss0.055570 2022-11-10 22:16:05,656 - INFO - main.py - train - 86 - train epoch0 step:120/2688 loss0.027426 2022-11-10 22:16:05,984 - INFO - main.py - train - 86 - train epoch0 step:121/2688 loss0.031430 2022-11-10 22:16:06,199 - INFO - main.py - train - 86 - train epoch0 step:122/2688 loss0.006711 2022-11-10 22:16:06,523 - INFO - main.py - train - 86 - train epoch0 step:123/2688 loss0.025743 2022-11-10 22:16:06,854 - INFO - main.py - train - 86 - train epoch0 step:124/2688 loss0.011425 2022-11-10 22:16:07,191 - INFO - main.py - train - 86 - train epoch0 step:125/2688 loss0.011855 2022-11-10 22:16:07,518 - INFO - main.py - train - 86 - train epoch0 step:126/2688 loss0.009019 2022-11-10 22:16:07,838 - INFO - main.py - train - 86 - train epoch0 step:127/2688 loss0.011060 2022-11-10 22:16:08,176 - INFO - main.py - train - 86 - train epoch0 step:128/2688 loss0.005396 2022-11-10 22:16:08,509 - INFO - main.py - train - 86 - train epoch0 step:129/2688 loss0.013137 2022-11-10 22:16:08,834 - INFO - main.py - train - 86 - train epoch0 step:130/2688 loss0.005979 2022-11-10 22:16:09,173 - INFO - main.py - train - 86 - train epoch0 step:131/2688 loss0.007407 2022-11-10 22:16:09,504 - INFO - main.py - train - 86 - train epoch0 step:132/2688 loss0.005427 2022-11-10 22:16:09,835 - INFO - main.py - train - 86 - train epoch0 step:133/2688 loss0.007785 2022-11-10 22:16:10,052 - INFO - main.py - train - 86 - train epoch0 step:134/2688 loss0.003861 2022-11-10 22:16:10,377 - INFO - main.py - train - 86 - train epoch0 step:135/2688 loss0.004993 2022-11-10 22:16:10,698 - INFO - main.py - train - 86 - train epoch0 step:136/2688 loss0.002826 2022-11-10 22:16:11,030 - INFO - main.py - train - 86 - train epoch0 step:137/2688 loss1.407439 2022-11-10 22:16:11,363 - INFO - main.py - train - 86 - train epoch0 step:138/2688 loss1.766741 2022-11-10 22:16:11,693 - INFO - main.py - train - 86 - train epoch0 step:139/2688 loss0.006852 2022-11-10 22:16:12,013 - INFO - main.py - train - 86 - train epoch0 step:140/2688 loss1.894526 2022-11-10 22:16:12,340 - INFO - main.py - train - 86 - train epoch0 step:141/2688 loss0.014511 2022-11-10 22:16:12,665 - INFO - main.py - train - 86 - train epoch0 step:142/2688 loss2.159206 2022-11-10 22:16:12,999 - INFO - main.py - train - 86 - train epoch0 step:143/2688 loss0.025878 2022-11-10 22:16:13,337 - INFO - main.py - train - 86 - train epoch0 step:144/2688 loss0.253670 2022-11-10 22:16:13,665 - INFO - main.py - train - 86 - train epoch0 step:145/2688 loss0.061386 2022-11-10 22:16:14,003 - INFO - main.py - train - 86 - train epoch0 step:146/2688 loss0.067491 2022-11-10 22:16:14,332 - INFO - main.py - train - 86 - train epoch0 step:147/2688 loss0.093158 2022-11-10 22:16:14,659 - INFO - main.py - train - 86 - train epoch0 step:148/2688 loss0.093446 2022-11-10 22:16:14,996 - INFO - main.py - train - 86 - train epoch0 step:149/2688 loss0.053746 2022-11-10 22:16:15,325 - INFO - main.py - train - 86 - train epoch0 step:150/2688 loss0.112572 2022-11-10 22:16:15,536 - INFO - main.py - train - 86 - train epoch0 step:151/2688 loss0.091916 2022-11-10 22:16:15,870 - INFO - main.py - train - 86 - train epoch0 step:152/2688 loss0.257159 2022-11-10 22:16:16,200 - INFO - main.py - train - 86 - train epoch0 step:153/2688 loss0.063097 2022-11-10 22:16:16,529 - INFO - main.py - train - 86 - train epoch0 step:154/2688 loss1.249035 2022-11-10 22:16:16,863 - INFO - main.py - train - 86 - train epoch0 step:155/2688 loss0.038674 2022-11-10 22:16:17,193 - INFO - main.py - train - 86 - train epoch0 step:156/2688 loss0.085432 2022-11-10 22:16:17,530 - INFO - main.py - train - 86 - train epoch0 step:157/2688 loss0.091594 2022-11-10 22:16:17,858 - INFO - main.py - train - 86 - train epoch0 step:158/2688 loss0.098570 2022-11-10 22:16:18,197 - INFO - main.py - train - 86 - train epoch0 step:159/2688 loss0.988921 2022-11-10 22:16:18,526 - INFO - main.py - train - 86 - train epoch0 step:160/2688 loss1.095011 2022-11-10 22:16:18,851 - INFO - main.py - train - 86 - train epoch0 step:161/2688 loss0.076085 2022-11-10 22:16:19,181 - INFO - main.py - train - 86 - train epoch0 step:162/2688 loss0.089826 2022-11-10 22:16:19,517 - INFO - main.py - train - 86 - train epoch0 step:163/2688 loss0.214435 2022-11-10 22:16:19,854 - INFO - main.py - train - 86 - train epoch0 step:164/2688 loss0.528373 2022-11-10 22:16:20,197 - INFO - main.py - train - 86 - train epoch0 step:165/2688 loss0.280828 2022-11-10 22:16:20,530 - INFO - main.py - train - 86 - train epoch0 step:166/2688 loss0.087634 2022-11-10 22:16:20,861 - INFO - main.py - train - 86 - train epoch0 step:167/2688 loss0.135352 2022-11-10 22:16:21,196 - INFO - main.py - train - 86 - train epoch0 step:168/2688 loss0.631675 2022-11-10 22:16:21,531 - INFO - main.py - train - 86 - train epoch0 step:169/2688 loss0.227698 2022-11-10 22:16:21,852 - INFO - main.py - train - 86 - train epoch0 step:170/2688 loss0.393284 2022-11-10 22:16:22,181 - INFO - main.py - train - 86 - train epoch0 step:171/2688 loss0.121538 2022-11-10 22:16:22,513 - INFO - main.py - train - 86 - train epoch0 step:172/2688 loss0.072137 2022-11-10 22:16:22,849 - INFO - main.py - train - 86 - train epoch0 step:173/2688 loss0.036847 2022-11-10 22:16:23,180 - INFO - main.py - train - 86 - train epoch0 step:174/2688 loss0.032087 2022-11-10 22:16:23,517 - INFO - main.py - train - 86 - train epoch0 step:175/2688 loss0.015717 2022-11-10 22:16:23,844 - INFO - main.py - train - 86 - train epoch0 step:176/2688 loss0.482004 2022-11-10 22:16:24,179 - INFO - main.py - train - 86 - train epoch0 step:177/2688 loss1.158147 2022-11-10 22:16:24,516 - INFO - main.py - train - 86 - train epoch0 step:178/2688 loss0.020228 2022-11-10 22:16:24,846 - INFO - main.py - train - 86 - train epoch0 step:179/2688 loss0.033312 2022-11-10 22:16:25,184 - INFO - main.py - train - 86 - train epoch0 step:180/2688 loss0.020832 2022-11-10 22:16:25,512 - INFO - main.py - train - 86 - train epoch0 step:181/2688 loss0.091294 2022-11-10 22:16:25,846 - INFO - main.py - train - 86 - train epoch0 step:182/2688 loss0.591359 2022-11-10 22:16:26,177 - INFO - main.py - train - 86 - train epoch0 step:183/2688 loss0.023986 2022-11-10 22:16:26,510 - INFO - main.py - train - 86 - train epoch0 step:184/2688 loss0.085160 2022-11-10 22:16:26,844 - INFO - main.py - train - 86 - train epoch0 step:185/2688 loss0.129040 2022-11-10 22:16:27,173 - INFO - main.py - train - 86 - train epoch0 step:186/2688 loss0.298356 2022-11-10 22:16:27,500 - INFO - main.py - train - 86 - train epoch0 step:187/2688 loss0.046033 2022-11-10 22:16:27,830 - INFO - main.py - train - 86 - train epoch0 step:188/2688 loss0.016503 2022-11-10 22:16:28,162 - INFO - main.py - train - 86 - train epoch0 step:189/2688 loss0.047064 2022-11-10 22:16:28,488 - INFO - main.py - train - 86 - train epoch0 step:190/2688 loss0.024465 2022-11-10 22:16:28,816 - INFO - main.py - train - 86 - train epoch0 step:191/2688 loss0.041162 2022-11-10 22:16:29,157 - INFO - main.py - train - 86 - train epoch0 step:192/2688 loss0.036800 2022-11-10 22:16:29,492 - INFO - main.py - train - 86 - train epoch0 step:193/2688 loss0.035416 2022-11-10 22:16:29,818 - INFO - main.py - train - 86 - train epoch0 step:194/2688 loss0.028579 2022-11-10 22:16:30,158 - INFO - main.py - train - 86 - train epoch0 step:195/2688 loss0.012169 2022-11-10 22:16:30,501 - INFO - main.py - train - 86 - train epoch0 step:196/2688 loss0.015942 2022-11-10 22:16:30,833 - INFO - main.py - train - 86 - train epoch0 step:197/2688 loss0.037254 2022-11-10 22:16:31,163 - INFO - main.py - train - 86 - train epoch0 step:198/2688 loss0.010609 2022-11-10 22:16:31,488 - INFO - main.py - train - 86 - train epoch0 step:199/2688 loss0.011020 2022-11-10 22:16:31,814 - INFO - main.py - train - 86 - train epoch0 step:200/2688 loss0.002532 2022-11-10 22:16:32,146 - INFO - main.py - train - 86 - train epoch0 step:201/2688 loss0.027680 2022-11-10 22:16:32,482 - INFO - main.py - train - 86 - train epoch0 step:202/2688 loss0.004560 2022-11-10 22:16:32,815 - INFO - main.py - train - 86 - train epoch0 step:203/2688 loss0.796982 2022-11-10 22:16:33,146 - INFO - main.py - train - 86 - train epoch0 step:204/2688 loss0.008622 2022-11-10 22:16:33,470 - INFO - main.py - train - 86 - train epoch0 step:205/2688 loss0.003542 2022-11-10 22:16:33,797 - INFO - main.py - train - 86 - train epoch0 step:206/2688 loss0.010381 2022-11-10 22:16:34,131 - INFO - main.py - train - 86 - train epoch0 step:207/2688 loss0.031889 2022-11-10 22:16:34,470 - INFO - main.py - train - 86 - train epoch0 step:208/2688 loss0.208544 2022-11-10 22:16:34,800 - INFO - main.py - train - 86 - train epoch0 step:209/2688 loss0.015490 2022-11-10 22:16:35,129 - INFO - main.py - train - 86 - train epoch0 step:210/2688 loss0.011979 2022-11-10 22:16:35,459 - INFO - main.py - train - 86 - train epoch0 step:211/2688 loss0.015585 2022-11-10 22:16:35,793 - INFO - main.py - train - 86 - train epoch0 step:212/2688 loss0.016168 2022-11-10 22:16:36,128 - INFO - main.py - train - 86 - train epoch0 step:213/2688 loss0.009844 2022-11-10 22:16:36,463 - INFO - main.py - train - 86 - train epoch0 step:214/2688 loss0.036334 2022-11-10 22:16:36,797 - INFO - main.py - train - 86 - train epoch0 step:215/2688 loss0.087360 2022-11-10 22:16:37,119 - INFO - main.py - train - 86 - train epoch0 step:216/2688 loss0.048759 2022-11-10 22:16:37,463 - INFO - main.py - train - 86 - train epoch0 step:217/2688 loss0.019913 2022-11-10 22:16:37,791 - INFO - main.py - train - 86 - train epoch0 step:218/2688 loss0.004822 2022-11-10 22:16:38,123 - INFO - main.py - train - 86 - train epoch0 step:219/2688 loss0.074628 2022-11-10 22:16:38,461 - INFO - main.py - train - 86 - train epoch0 step:220/2688 loss0.059844 2022-11-10 22:16:38,792 - INFO - main.py - train - 86 - train epoch0 step:221/2688 loss0.027297 2022-11-10 22:16:39,132 - INFO - main.py - train - 86 - train epoch0 step:222/2688 loss0.004288 2022-11-10 22:16:39,473 - INFO - main.py - train - 86 - train epoch0 step:223/2688 loss0.025521 2022-11-10 22:16:39,809 - INFO - main.py - train - 86 - train epoch0 step:224/2688 loss0.003239 2022-11-10 22:16:40,141 - INFO - main.py - train - 86 - train epoch0 step:225/2688 loss0.003322 2022-11-10 22:16:40,474 - INFO - main.py - train - 86 - train epoch0 step:226/2688 loss0.006306 2022-11-10 22:16:40,811 - INFO - main.py - train - 86 - train epoch0 step:227/2688 loss0.018402 2022-11-10 22:16:41,147 - INFO - main.py - train - 86 - train epoch0 step:228/2688 loss0.003291 2022-11-10 22:16:41,487 - INFO - main.py - train - 86 - train epoch0 step:229/2688 loss0.549904 2022-11-10 22:16:41,820 - INFO - main.py - train - 86 - train epoch0 step:230/2688 loss0.006846 2022-11-10 22:16:42,152 - INFO - main.py - train - 86 - train epoch0 step:231/2688 loss0.004560 2022-11-10 22:16:42,488 - INFO - main.py - train - 86 - train epoch0 step:232/2688 loss0.013681 2022-11-10 22:16:42,822 - INFO - main.py - train - 86 - train epoch0 step:233/2688 loss0.012699 2022-11-10 22:16:43,161 - INFO - main.py - train - 86 - train epoch0 step:234/2688 loss0.007482 2022-11-10 22:16:43,491 - INFO - main.py - train - 86 - train epoch0 step:235/2688 loss0.015700 2022-11-10 22:16:43,704 - INFO - main.py - train - 86 - train epoch0 step:236/2688 loss0.008847 2022-11-10 22:16:44,031 - INFO - main.py - train - 86 - train epoch0 step:237/2688 loss0.382613 2022-11-10 22:16:44,365 - INFO - main.py - train - 86 - train epoch0 step:238/2688 loss1.883562 2022-11-10 22:16:44,705 - INFO - main.py - train - 86 - train epoch0 step:239/2688 loss0.001580 2022-11-10 22:16:45,042 - INFO - main.py - train - 86 - train epoch0 step:240/2688 loss0.003220 2022-11-10 22:16:45,371 - INFO - main.py - train - 86 - train epoch0 step:241/2688 loss0.013407 2022-11-10 22:16:45,701 - INFO - main.py - train - 86 - train epoch0 step:242/2688 loss2.334862 2022-11-10 22:16:46,034 - INFO - main.py - train - 86 - train epoch0 step:243/2688 loss0.212771 2022-11-10 22:16:46,366 - INFO - main.py - train - 86 - train epoch0 step:244/2688 loss0.029304 2022-11-10 22:16:46,690 - INFO - main.py - train - 86 - train epoch0 step:245/2688 loss0.005368 2022-11-10 22:16:47,017 - INFO - main.py - train - 86 - train epoch0 step:246/2688 loss0.267961 2022-11-10 22:16:47,229 - INFO - main.py - train - 86 - train epoch0 step:247/2688 loss0.006857 2022-11-10 22:16:47,559 - INFO - main.py - train - 86 - train epoch0 step:248/2688 loss0.015825 2022-11-10 22:16:47,890 - INFO - main.py - train - 86 - train epoch0 step:249/2688 loss0.008790 2022-11-10 22:16:48,226 - INFO - main.py - train - 86 - train epoch0 step:250/2688 loss3.199830 2022-11-10 22:16:48,561 - INFO - main.py - train - 86 - train epoch0 step:251/2688 loss0.015067 2022-11-10 22:16:48,896 - INFO - main.py - train - 86 - train epoch0 step:252/2688 loss0.049639 2022-11-10 22:16:49,236 - INFO - main.py - train - 86 - train epoch0 step:253/2688 loss0.033379 2022-11-10 22:16:49,572 - INFO - main.py - train - 86 - train epoch0 step:254/2688 loss0.039297 2022-11-10 22:16:49,908 - INFO - main.py - train - 86 - train epoch0 step:255/2688 loss0.032410 2022-11-10 22:16:50,235 - INFO - main.py - train - 86 - train epoch0 step:256/2688 loss0.079567 2022-11-10 22:16:50,561 - INFO - main.py - train - 86 - train epoch0 step:257/2688 loss0.100658 2022-11-10 22:16:50,894 - INFO - main.py - train - 86 - train epoch0 step:258/2688 loss0.821999 2022-11-10 22:16:51,230 - INFO - main.py - train - 86 - train epoch0 step:259/2688 loss0.074997 2022-11-10 22:16:51,556 - INFO - main.py - train - 86 - train epoch0 step:260/2688 loss0.016723 2022-11-10 22:16:51,888 - INFO - main.py - train - 86 - train epoch0 step:261/2688 loss0.068749 2022-11-10 22:16:52,098 - INFO - main.py - train - 86 - train epoch0 step:262/2688 loss0.012841 2022-11-10 22:16:52,430 - INFO - main.py - train - 86 - train epoch0 step:263/2688 loss0.045659 2022-11-10 22:16:52,764 - INFO - main.py - train - 86 - train epoch0 step:264/2688 loss0.048292 2022-11-10 22:16:53,096 - INFO - main.py - train - 86 - train epoch0 step:265/2688 loss0.327623 2022-11-10 22:16:53,434 - INFO - main.py - train - 86 - train epoch0 step:266/2688 loss0.462866 2022-11-10 22:16:53,763 - INFO - main.py - train - 86 - train epoch0 step:267/2688 loss0.031255 2022-11-10 22:16:54,096 - INFO - main.py - train - 86 - train epoch0 step:268/2688 loss0.043363 2022-11-10 22:16:54,431 - INFO - main.py - train - 86 - train epoch0 step:269/2688 loss0.439195 2022-11-10 22:16:54,766 - INFO - main.py - train - 86 - train epoch0 step:270/2688 loss0.145571 2022-11-10 22:16:55,102 - INFO - main.py - train - 86 - train epoch0 step:271/2688 loss0.040463 2022-11-10 22:16:55,429 - INFO - main.py - train - 86 - train epoch0 step:272/2688 loss0.983633 2022-11-10 22:16:55,768 - INFO - main.py - train - 86 - train epoch0 step:273/2688 loss0.024104 2022-11-10 22:16:56,095 - INFO - main.py - train - 86 - train epoch0 step:274/2688 loss0.194675 2022-11-10 22:16:56,432 - INFO - main.py - train - 86 - train epoch0 step:275/2688 loss0.021055 2022-11-10 22:16:56,763 - INFO - main.py - train - 86 - train epoch0 step:276/2688 loss0.036767 2022-11-10 22:16:57,101 - INFO - main.py - train - 86 - train epoch0 step:277/2688 loss0.047978 2022-11-10 22:16:57,443 - INFO - main.py - train - 86 - train epoch0 step:278/2688 loss0.012217 2022-11-10 22:16:57,779 - INFO - main.py - train - 86 - train epoch0 step:279/2688 loss1.451632 2022-11-10 22:16:58,113 - INFO - main.py - train - 86 - train epoch0 step:280/2688 loss0.011821 2022-11-10 22:16:58,323 - INFO - main.py - train - 86 - train epoch0 step:281/2688 loss0.014727 2022-11-10 22:26:15,140 - INFO - main.py - train - 87 - train epoch0 step:0/2688 loss1.694482 2022-11-10 22:26:15,453 - INFO - main.py - train - 87 - train epoch0 step:1/2688 loss1.499144 2022-11-10 22:26:15,779 - INFO - main.py - train - 87 - train epoch0 step:2/2688 loss1.123996 2022-11-10 22:26:16,116 - INFO - main.py - train - 87 - train epoch0 step:3/2688 loss0.625085 2022-11-10 22:26:16,435 - INFO - main.py - train - 87 - train epoch0 step:4/2688 loss1.164915 2022-11-10 22:26:16,760 - INFO - main.py - train - 87 - train epoch0 step:5/2688 loss0.201317 2022-11-10 22:26:17,084 - INFO - main.py - train - 87 - train epoch0 step:6/2688 loss0.209974 2022-11-10 22:26:17,405 - INFO - main.py - train - 87 - train epoch0 step:7/2688 loss0.069630 2022-11-10 22:26:17,733 - INFO - main.py - train - 87 - train epoch0 step:8/2688 loss0.066316 2022-11-10 22:26:18,059 - INFO - main.py - train - 87 - train epoch0 step:9/2688 loss0.030863 2022-11-10 22:26:18,390 - INFO - main.py - train - 87 - train epoch0 step:10/2688 loss0.035351 2022-11-10 22:26:18,714 - INFO - main.py - train - 87 - train epoch0 step:11/2688 loss0.016563 2022-11-10 22:26:19,035 - INFO - main.py - train - 87 - train epoch0 step:12/2688 loss0.019172 2022-11-10 22:26:19,360 - INFO - main.py - train - 87 - train epoch0 step:13/2688 loss0.016066 2022-11-10 22:26:19,566 - INFO - main.py - train - 87 - train epoch0 step:14/2688 loss0.011039 2022-11-10 22:26:19,893 - INFO - main.py - train - 87 - train epoch0 step:15/2688 loss0.007865 2022-11-10 22:26:20,103 - INFO - main.py - train - 87 - train epoch0 step:16/2688 loss0.003502 2022-11-10 22:26:20,441 - INFO - main.py - train - 87 - train epoch0 step:17/2688 loss0.009001 2022-11-10 22:26:20,776 - INFO - main.py - train - 87 - train epoch0 step:18/2688 loss0.005158 2022-11-10 22:26:21,102 - INFO - main.py - train - 87 - train epoch0 step:19/2688 loss0.003290 2022-11-10 22:26:21,428 - INFO - main.py - train - 87 - train epoch0 step:20/2688 loss0.003202 2022-11-10 22:26:21,745 - INFO - main.py - train - 87 - train epoch0 step:21/2688 loss0.005262 2022-11-10 22:26:22,071 - INFO - main.py - train - 87 - train epoch0 step:22/2688 loss0.003604 2022-11-10 22:26:22,398 - INFO - main.py - train - 87 - train epoch0 step:23/2688 loss0.003385 2022-11-10 22:26:22,723 - INFO - main.py - train - 87 - train epoch0 step:24/2688 loss0.001615 2022-11-10 22:26:23,042 - INFO - main.py - train - 87 - train epoch0 step:25/2688 loss0.003858 2022-11-10 22:26:23,379 - INFO - main.py - train - 87 - train epoch0 step:26/2688 loss0.003558 2022-11-10 22:26:23,712 - INFO - main.py - train - 87 - train epoch0 step:27/2688 loss0.001739 2022-11-10 22:26:24,042 - INFO - main.py - train - 87 - train epoch0 step:28/2688 loss4.105797 2022-11-10 22:26:24,362 - INFO - main.py - train - 87 - train epoch0 step:29/2688 loss0.005065 2022-11-10 22:26:24,688 - INFO - main.py - train - 87 - train epoch0 step:30/2688 loss0.003172 2022-11-10 22:26:25,011 - INFO - main.py - train - 87 - train epoch0 step:31/2688 loss0.003677 2022-11-10 22:26:25,338 - INFO - main.py - train - 87 - train epoch0 step:32/2688 loss3.325720 2022-11-10 22:26:25,663 - INFO - main.py - train - 87 - train epoch0 step:33/2688 loss3.143489 2022-11-10 22:26:33,966 - INFO - main.py - train - 87 - train epoch0 step:0/2688 loss1.694482 2022-11-10 22:26:34,286 - INFO - main.py - train - 87 - train epoch0 step:1/2688 loss1.499144 2022-11-10 22:26:34,604 - INFO - main.py - train - 87 - train epoch0 step:2/2688 loss1.123996 2022-11-10 22:26:34,933 - INFO - main.py - train - 87 - train epoch0 step:3/2688 loss0.625085 2022-11-10 22:26:35,258 - INFO - main.py - train - 87 - train epoch0 step:4/2688 loss1.164915 2022-11-10 22:26:35,587 - INFO - main.py - train - 87 - train epoch0 step:5/2688 loss0.201317 2022-11-10 22:26:35,916 - INFO - main.py - train - 87 - train epoch0 step:6/2688 loss0.209974 2022-11-10 22:26:36,239 - INFO - main.py - train - 87 - train epoch0 step:7/2688 loss0.069630 2022-11-10 22:26:36,567 - INFO - main.py - train - 87 - train epoch0 step:8/2688 loss0.066316 2022-11-10 22:26:36,895 - INFO - main.py - train - 87 - train epoch0 step:9/2688 loss0.030863 2022-11-10 22:26:37,228 - INFO - main.py - train - 87 - train epoch0 step:10/2688 loss0.035351 2022-11-10 22:26:37,555 - INFO - main.py - train - 87 - train epoch0 step:11/2688 loss0.016563 2022-11-10 22:26:37,880 - INFO - main.py - train - 87 - train epoch0 step:12/2688 loss0.019172 2022-11-10 22:26:38,211 - INFO - main.py - train - 87 - train epoch0 step:13/2688 loss0.016066 2022-11-10 22:26:38,431 - INFO - main.py - train - 87 - train epoch0 step:14/2688 loss0.011039 2022-11-10 22:26:38,767 - INFO - main.py - train - 87 - train epoch0 step:15/2688 loss0.007865 2022-11-10 22:26:38,973 - INFO - main.py - train - 87 - train epoch0 step:16/2688 loss0.003502 2022-11-10 22:26:39,319 - INFO - main.py - train - 87 - train epoch0 step:17/2688 loss0.009001 2022-11-10 22:26:39,660 - INFO - main.py - train - 87 - train epoch0 step:18/2688 loss0.005158 2022-11-10 22:26:39,989 - INFO - main.py - train - 87 - train epoch0 step:19/2688 loss0.003290 2022-11-10 22:26:40,321 - INFO - main.py - train - 87 - train epoch0 step:20/2688 loss0.003202 2022-11-10 22:26:40,656 - INFO - main.py - train - 87 - train epoch0 step:21/2688 loss0.005262 2022-11-10 22:26:40,983 - INFO - main.py - train - 87 - train epoch0 step:22/2688 loss0.003604 2022-11-10 22:26:41,307 - INFO - main.py - train - 87 - train epoch0 step:23/2688 loss0.003385 2022-11-10 22:26:41,651 - INFO - main.py - train - 87 - train epoch0 step:24/2688 loss0.001615 2022-11-10 22:26:41,972 - INFO - main.py - train - 87 - train epoch0 step:25/2688 loss0.003858 2022-11-10 22:26:42,295 - INFO - main.py - train - 87 - train epoch0 step:26/2688 loss0.003558 2022-11-10 22:26:42,626 - INFO - main.py - train - 87 - train epoch0 step:27/2688 loss0.001739 2022-11-10 22:26:42,967 - INFO - main.py - train - 87 - train epoch0 step:28/2688 loss4.105797 2022-11-10 22:26:43,293 - INFO - main.py - train - 87 - train epoch0 step:29/2688 loss0.005065 2022-11-10 22:26:43,621 - INFO - main.py - train - 87 - train epoch0 step:30/2688 loss0.003172 2022-11-10 22:26:43,952 - INFO - main.py - train - 87 - train epoch0 step:31/2688 loss0.003677 2022-11-10 22:26:44,281 - INFO - main.py - train - 87 - train epoch0 step:32/2688 loss3.325720 2022-11-10 22:26:44,607 - INFO - main.py - train - 87 - train epoch0 step:33/2688 loss3.143489 2022-11-10 22:26:44,935 - INFO - main.py - train - 87 - train epoch0 step:34/2688 loss0.008313 2022-11-10 22:26:45,300 - INFO - main.py - train - 87 - train epoch0 step:35/2688 loss0.007896 2022-11-10 22:26:45,632 - INFO - main.py - train - 87 - train epoch0 step:36/2688 loss0.013320 2022-11-10 22:26:45,969 - INFO - main.py - train - 87 - train epoch0 step:37/2688 loss0.022339 2022-11-10 22:26:46,191 - INFO - main.py - train - 87 - train epoch0 step:38/2688 loss0.051035 2022-11-10 22:26:46,536 - INFO - main.py - train - 87 - train epoch0 step:39/2688 loss0.036786 2022-11-10 22:26:46,866 - INFO - main.py - train - 87 - train epoch0 step:40/2688 loss0.093870 2022-11-10 22:26:47,203 - INFO - main.py - train - 87 - train epoch0 step:41/2688 loss0.106166 2022-11-10 22:26:47,542 - INFO - main.py - train - 87 - train epoch0 step:42/2688 loss0.078973 2022-11-10 22:26:47,878 - INFO - main.py - train - 87 - train epoch0 step:43/2688 loss0.079709 2022-11-10 22:26:48,216 - INFO - main.py - train - 87 - train epoch0 step:44/2688 loss0.065056 2022-11-10 22:26:48,557 - INFO - main.py - train - 87 - train epoch0 step:45/2688 loss0.028478 2022-11-10 22:26:48,891 - INFO - main.py - train - 87 - train epoch0 step:46/2688 loss0.040557 2022-11-10 22:26:49,233 - INFO - main.py - train - 87 - train epoch0 step:47/2688 loss0.044330 2022-11-10 22:26:49,577 - INFO - main.py - train - 87 - train epoch0 step:48/2688 loss0.042373 2022-11-10 22:26:49,915 - INFO - main.py - train - 87 - train epoch0 step:49/2688 loss0.033207 2022-11-10 22:26:50,123 - INFO - main.py - train - 87 - train epoch0 step:50/2688 loss0.029671 2022-11-10 22:26:50,455 - INFO - main.py - train - 87 - train epoch0 step:51/2688 loss2.401934 2022-11-10 22:26:50,791 - INFO - main.py - train - 87 - train epoch0 step:52/2688 loss1.383365 2022-11-10 22:26:51,126 - INFO - main.py - train - 87 - train epoch0 step:53/2688 loss0.064671 2022-11-10 22:26:51,456 - INFO - main.py - train - 87 - train epoch0 step:54/2688 loss1.728102 2022-11-10 22:26:51,784 - INFO - main.py - train - 87 - train epoch0 step:55/2688 loss0.073153 2022-11-10 22:26:52,119 - INFO - main.py - train - 87 - train epoch0 step:56/2688 loss0.921958 2022-11-10 22:26:52,447 - INFO - main.py - train - 87 - train epoch0 step:57/2688 loss0.241711 2022-11-10 22:26:52,779 - INFO - main.py - train - 87 - train epoch0 step:58/2688 loss3.817934 2022-11-10 22:26:53,119 - INFO - main.py - train - 87 - train epoch0 step:59/2688 loss0.831552 2022-11-10 22:26:53,452 - INFO - main.py - train - 87 - train epoch0 step:60/2688 loss0.653378 2022-11-10 22:26:53,792 - INFO - main.py - train - 87 - train epoch0 step:61/2688 loss1.165219 2022-11-10 22:26:54,129 - INFO - main.py - train - 87 - train epoch0 step:62/2688 loss0.423998 2022-11-10 22:26:54,460 - INFO - main.py - train - 87 - train epoch0 step:63/2688 loss0.529469 2022-11-10 22:26:54,800 - INFO - main.py - train - 87 - train epoch0 step:64/2688 loss0.209547 2022-11-10 22:26:55,128 - INFO - main.py - train - 87 - train epoch0 step:65/2688 loss0.323792 2022-11-10 22:26:55,344 - INFO - main.py - train - 87 - train epoch0 step:66/2688 loss0.070411 2022-11-10 22:26:55,676 - INFO - main.py - train - 87 - train epoch0 step:67/2688 loss1.155958 2022-11-10 22:26:56,013 - INFO - main.py - train - 87 - train epoch0 step:68/2688 loss0.070195 2022-11-10 22:26:56,223 - INFO - main.py - train - 87 - train epoch0 step:69/2688 loss0.034961 2022-11-10 22:26:56,553 - INFO - main.py - train - 87 - train epoch0 step:70/2688 loss0.055601 2022-11-10 22:26:56,887 - INFO - main.py - train - 87 - train epoch0 step:71/2688 loss0.069085 2022-11-10 22:26:57,100 - INFO - main.py - train - 87 - train epoch0 step:72/2688 loss0.051325 2022-11-10 22:26:57,315 - INFO - main.py - train - 87 - train epoch0 step:73/2688 loss0.041386 2022-11-10 22:26:57,651 - INFO - main.py - train - 87 - train epoch0 step:74/2688 loss0.032641 2022-11-10 22:26:57,982 - INFO - main.py - train - 87 - train epoch0 step:75/2688 loss0.028716 2022-11-10 22:26:58,309 - INFO - main.py - train - 87 - train epoch0 step:76/2688 loss0.034587 2022-11-10 22:26:58,640 - INFO - main.py - train - 87 - train epoch0 step:77/2688 loss0.018762 2022-11-10 22:26:58,972 - INFO - main.py - train - 87 - train epoch0 step:78/2688 loss0.024614 2022-11-10 22:26:59,300 - INFO - main.py - train - 87 - train epoch0 step:79/2688 loss0.022620 2022-11-10 22:26:59,623 - INFO - main.py - train - 87 - train epoch0 step:80/2688 loss0.011791 2022-11-10 22:26:59,963 - INFO - main.py - train - 87 - train epoch0 step:81/2688 loss0.031193 2022-11-10 22:27:00,293 - INFO - main.py - train - 87 - train epoch0 step:82/2688 loss2.813082 2022-11-10 22:27:00,621 - INFO - main.py - train - 87 - train epoch0 step:83/2688 loss0.017672 2022-11-10 22:27:00,951 - INFO - main.py - train - 87 - train epoch0 step:84/2688 loss0.035989 2022-11-10 22:27:01,300 - INFO - main.py - train - 87 - train epoch0 step:85/2688 loss0.024666 2022-11-10 22:27:01,627 - INFO - main.py - train - 87 - train epoch0 step:86/2688 loss0.029573 2022-11-10 22:27:01,956 - INFO - main.py - train - 87 - train epoch0 step:87/2688 loss0.012805 2022-11-10 22:27:02,291 - INFO - main.py - train - 87 - train epoch0 step:88/2688 loss0.016364 2022-11-10 22:27:02,506 - INFO - main.py - train - 87 - train epoch0 step:89/2688 loss0.012542 2022-11-10 22:27:02,845 - INFO - main.py - train - 87 - train epoch0 step:90/2688 loss0.011016 2022-11-10 22:27:03,182 - INFO - main.py - train - 87 - train epoch0 step:91/2688 loss0.016467 2022-11-10 22:27:03,519 - INFO - main.py - train - 87 - train epoch0 step:92/2688 loss0.020575 2022-11-10 22:27:03,867 - INFO - main.py - train - 87 - train epoch0 step:93/2688 loss0.018162 2022-11-10 22:27:04,205 - INFO - main.py - train - 87 - train epoch0 step:94/2688 loss0.010983 2022-11-10 22:27:04,536 - INFO - main.py - train - 87 - train epoch0 step:95/2688 loss0.015166 2022-11-10 22:27:04,878 - INFO - main.py - train - 87 - train epoch0 step:96/2688 loss2.882608 2022-11-10 22:27:05,212 - INFO - main.py - train - 87 - train epoch0 step:97/2688 loss1.593594 2022-11-10 22:27:05,547 - INFO - main.py - train - 87 - train epoch0 step:98/2688 loss0.017314 2022-11-10 22:27:05,882 - INFO - main.py - train - 87 - train epoch0 step:99/2688 loss0.017287 2022-11-10 22:27:06,091 - INFO - main.py - train - 87 - train epoch0 step:100/2688 loss0.049522 2022-11-10 22:27:06,421 - INFO - main.py - train - 87 - train epoch0 step:101/2688 loss0.027292 2022-11-10 22:27:06,762 - INFO - main.py - train - 87 - train epoch0 step:102/2688 loss0.037234 2022-11-10 22:27:07,101 - INFO - main.py - train - 87 - train epoch0 step:103/2688 loss0.036596 2022-11-10 22:27:07,431 - INFO - main.py - train - 87 - train epoch0 step:104/2688 loss1.457014 2022-11-10 22:27:07,773 - INFO - main.py - train - 87 - train epoch0 step:105/2688 loss0.044092 2022-11-10 22:27:08,119 - INFO - main.py - train - 87 - train epoch0 step:106/2688 loss0.067292 2022-11-10 22:27:08,454 - INFO - main.py - train - 87 - train epoch0 step:107/2688 loss1.623168 2022-11-10 22:27:08,791 - INFO - main.py - train - 87 - train epoch0 step:108/2688 loss0.115475 2022-11-10 22:27:09,130 - INFO - main.py - train - 87 - train epoch0 step:109/2688 loss0.247144 2022-11-10 22:27:09,465 - INFO - main.py - train - 87 - train epoch0 step:110/2688 loss0.135680 2022-11-10 22:27:09,802 - INFO - main.py - train - 87 - train epoch0 step:111/2688 loss0.117617 2022-11-10 22:27:10,134 - INFO - main.py - train - 87 - train epoch0 step:112/2688 loss0.190472 2022-11-10 22:27:10,467 - INFO - main.py - train - 87 - train epoch0 step:113/2688 loss0.156819 2022-11-10 22:27:10,676 - INFO - main.py - train - 87 - train epoch0 step:114/2688 loss0.067849 2022-11-10 22:27:11,013 - INFO - main.py - train - 87 - train epoch0 step:115/2688 loss0.125511 2022-11-10 22:27:11,346 - INFO - main.py - train - 87 - train epoch0 step:116/2688 loss0.179801 2022-11-10 22:27:11,678 - INFO - main.py - train - 87 - train epoch0 step:117/2688 loss0.169508 2022-11-10 22:27:12,014 - INFO - main.py - train - 87 - train epoch0 step:118/2688 loss0.064129 2022-11-10 22:27:12,350 - INFO - main.py - train - 87 - train epoch0 step:119/2688 loss0.055570 2022-11-10 22:27:12,681 - INFO - main.py - train - 87 - train epoch0 step:120/2688 loss0.027426 2022-11-10 22:27:13,020 - INFO - main.py - train - 87 - train epoch0 step:121/2688 loss0.031430 2022-11-10 22:27:13,228 - INFO - main.py - train - 87 - train epoch0 step:122/2688 loss0.006711 2022-11-10 22:27:13,567 - INFO - main.py - train - 87 - train epoch0 step:123/2688 loss0.025743 2022-11-10 22:27:13,910 - INFO - main.py - train - 87 - train epoch0 step:124/2688 loss0.011425 2022-11-10 22:27:14,236 - INFO - main.py - train - 87 - train epoch0 step:125/2688 loss0.011855 2022-11-10 22:27:14,567 - INFO - main.py - train - 87 - train epoch0 step:126/2688 loss0.009019 2022-11-10 22:27:14,906 - INFO - main.py - train - 87 - train epoch0 step:127/2688 loss0.011060 2022-11-10 22:27:15,254 - INFO - main.py - train - 87 - train epoch0 step:128/2688 loss0.005396 2022-11-10 22:27:15,592 - INFO - main.py - train - 87 - train epoch0 step:129/2688 loss0.013137 2022-11-10 22:27:15,921 - INFO - main.py - train - 87 - train epoch0 step:130/2688 loss0.005979 2022-11-10 22:27:16,274 - INFO - main.py - train - 87 - train epoch0 step:131/2688 loss0.007407 2022-11-10 22:27:16,599 - INFO - main.py - train - 87 - train epoch0 step:132/2688 loss0.005427 2022-11-10 22:27:16,930 - INFO - main.py - train - 87 - train epoch0 step:133/2688 loss0.007785 2022-11-10 22:27:17,146 - INFO - main.py - train - 87 - train epoch0 step:134/2688 loss0.003861 2022-11-10 22:27:17,473 - INFO - main.py - train - 87 - train epoch0 step:135/2688 loss0.004993 2022-11-10 22:27:17,795 - INFO - main.py - train - 87 - train epoch0 step:136/2688 loss0.002826 2022-11-10 22:27:18,144 - INFO - main.py - train - 87 - train epoch0 step:137/2688 loss1.407439 2022-11-10 22:27:18,471 - INFO - main.py - train - 87 - train epoch0 step:138/2688 loss1.766741 2022-11-10 22:27:18,803 - INFO - main.py - train - 87 - train epoch0 step:139/2688 loss0.006852 2022-11-10 22:27:19,134 - INFO - main.py - train - 87 - train epoch0 step:140/2688 loss1.894526 2022-11-10 22:27:19,472 - INFO - main.py - train - 87 - train epoch0 step:141/2688 loss0.014511 2022-11-10 22:27:19,807 - INFO - main.py - train - 87 - train epoch0 step:142/2688 loss2.159206 2022-11-10 22:27:20,140 - INFO - main.py - train - 87 - train epoch0 step:143/2688 loss0.025878 2022-11-10 22:27:20,472 - INFO - main.py - train - 87 - train epoch0 step:144/2688 loss0.253670 2022-11-10 22:27:20,808 - INFO - main.py - train - 87 - train epoch0 step:145/2688 loss0.061386 2022-11-10 22:27:21,150 - INFO - main.py - train - 87 - train epoch0 step:146/2688 loss0.067491 2022-11-10 22:27:21,486 - INFO - main.py - train - 87 - train epoch0 step:147/2688 loss0.093158 2022-11-10 22:27:21,826 - INFO - main.py - train - 87 - train epoch0 step:148/2688 loss0.093446 2022-11-10 22:27:22,170 - INFO - main.py - train - 87 - train epoch0 step:149/2688 loss0.053746 2022-11-10 22:27:22,506 - INFO - main.py - train - 87 - train epoch0 step:150/2688 loss0.112572 2022-11-10 22:27:22,716 - INFO - main.py - train - 87 - train epoch0 step:151/2688 loss0.091916 2022-11-10 22:27:23,054 - INFO - main.py - train - 87 - train epoch0 step:152/2688 loss0.257159 2022-11-10 22:27:23,380 - INFO - main.py - train - 87 - train epoch0 step:153/2688 loss0.063097 2022-11-10 22:27:23,706 - INFO - main.py - train - 87 - train epoch0 step:154/2688 loss1.249035 2022-11-10 22:27:24,040 - INFO - main.py - train - 87 - train epoch0 step:155/2688 loss0.038674 2022-11-10 22:27:24,377 - INFO - main.py - train - 87 - train epoch0 step:156/2688 loss0.085432 2022-11-10 22:27:24,717 - INFO - main.py - train - 87 - train epoch0 step:157/2688 loss0.091594 2022-11-10 22:27:25,050 - INFO - main.py - train - 87 - train epoch0 step:158/2688 loss0.098570 2022-11-10 22:27:25,392 - INFO - main.py - train - 87 - train epoch0 step:159/2688 loss0.988921 2022-11-10 22:27:25,729 - INFO - main.py - train - 87 - train epoch0 step:160/2688 loss1.095011 2022-11-10 22:27:26,060 - INFO - main.py - train - 87 - train epoch0 step:161/2688 loss0.076085 2022-11-10 22:27:26,385 - INFO - main.py - train - 87 - train epoch0 step:162/2688 loss0.089826 2022-11-10 22:27:26,721 - INFO - main.py - train - 87 - train epoch0 step:163/2688 loss0.214435 2022-11-10 22:27:27,058 - INFO - main.py - train - 87 - train epoch0 step:164/2688 loss0.528373 2022-11-10 22:27:27,404 - INFO - main.py - train - 87 - train epoch0 step:165/2688 loss0.280828 2022-11-10 22:27:27,743 - INFO - main.py - train - 87 - train epoch0 step:166/2688 loss0.087634 2022-11-10 22:27:28,086 - INFO - main.py - train - 87 - train epoch0 step:167/2688 loss0.135352 2022-11-10 22:27:28,426 - INFO - main.py - train - 87 - train epoch0 step:168/2688 loss0.631675 2022-11-10 22:27:28,756 - INFO - main.py - train - 87 - train epoch0 step:169/2688 loss0.227698 2022-11-10 22:27:29,096 - INFO - main.py - train - 87 - train epoch0 step:170/2688 loss0.393284 2022-11-10 22:27:29,429 - INFO - main.py - train - 87 - train epoch0 step:171/2688 loss0.121538 2022-11-10 22:27:29,770 - INFO - main.py - train - 87 - train epoch0 step:172/2688 loss0.072137 2022-11-10 22:27:30,111 - INFO - main.py - train - 87 - train epoch0 step:173/2688 loss0.036847 2022-11-10 22:27:30,441 - INFO - main.py - train - 87 - train epoch0 step:174/2688 loss0.032087 2022-11-10 22:27:30,786 - INFO - main.py - train - 87 - train epoch0 step:175/2688 loss0.015717 2022-11-10 22:27:31,123 - INFO - main.py - train - 87 - train epoch0 step:176/2688 loss0.482004 2022-11-10 22:27:31,467 - INFO - main.py - train - 87 - train epoch0 step:177/2688 loss1.158147 2022-11-10 22:27:31,798 - INFO - main.py - train - 87 - train epoch0 step:178/2688 loss0.020228 2022-11-10 22:27:32,144 - INFO - main.py - train - 87 - train epoch0 step:179/2688 loss0.033312 2022-11-10 22:27:32,488 - INFO - main.py - train - 87 - train epoch0 step:180/2688 loss0.020832 2022-11-10 22:27:32,820 - INFO - main.py - train - 87 - train epoch0 step:181/2688 loss0.091294 2022-11-10 22:27:33,161 - INFO - main.py - train - 87 - train epoch0 step:182/2688 loss0.591359 2022-11-10 22:27:33,494 - INFO - main.py - train - 87 - train epoch0 step:183/2688 loss0.023986 2022-11-10 22:27:33,828 - INFO - main.py - train - 87 - train epoch0 step:184/2688 loss0.085160 2022-11-10 22:27:34,169 - INFO - main.py - train - 87 - train epoch0 step:185/2688 loss0.129040 2022-11-10 22:27:34,506 - INFO - main.py - train - 87 - train epoch0 step:186/2688 loss0.298356 2022-11-10 22:27:34,836 - INFO - main.py - train - 87 - train epoch0 step:187/2688 loss0.046033 2022-11-10 22:27:35,171 - INFO - main.py - train - 87 - train epoch0 step:188/2688 loss0.016503 2022-11-10 22:27:35,503 - INFO - main.py - train - 87 - train epoch0 step:189/2688 loss0.047064 2022-11-10 22:27:35,844 - INFO - main.py - train - 87 - train epoch0 step:190/2688 loss0.024465 2022-11-10 22:27:36,183 - INFO - main.py - train - 87 - train epoch0 step:191/2688 loss0.041162 2022-11-10 22:27:36,516 - INFO - main.py - train - 87 - train epoch0 step:192/2688 loss0.036800 2022-11-10 22:27:36,859 - INFO - main.py - train - 87 - train epoch0 step:193/2688 loss0.035416 2022-11-10 22:27:37,195 - INFO - main.py - train - 87 - train epoch0 step:194/2688 loss0.028579 2022-11-10 22:27:37,534 - INFO - main.py - train - 87 - train epoch0 step:195/2688 loss0.012169 2022-11-10 22:27:37,874 - INFO - main.py - train - 87 - train epoch0 step:196/2688 loss0.015942 2022-11-10 22:27:38,214 - INFO - main.py - train - 87 - train epoch0 step:197/2688 loss0.037254 2022-11-10 22:27:38,555 - INFO - main.py - train - 87 - train epoch0 step:198/2688 loss0.010609 2022-11-10 22:27:38,883 - INFO - main.py - train - 87 - train epoch0 step:199/2688 loss0.011020 2022-11-10 22:27:39,226 - INFO - main.py - train - 87 - train epoch0 step:200/2688 loss0.002532 2022-11-10 22:27:39,555 - INFO - main.py - train - 87 - train epoch0 step:201/2688 loss0.027680 2022-11-10 22:27:39,896 - INFO - main.py - train - 87 - train epoch0 step:202/2688 loss0.004560 2022-11-10 22:27:40,234 - INFO - main.py - train - 87 - train epoch0 step:203/2688 loss0.796982 2022-11-10 22:27:40,571 - INFO - main.py - train - 87 - train epoch0 step:204/2688 loss0.008622 2022-11-10 22:27:40,911 - INFO - main.py - train - 87 - train epoch0 step:205/2688 loss0.003542 2022-11-10 22:27:41,250 - INFO - main.py - train - 87 - train epoch0 step:206/2688 loss0.010381 2022-11-10 22:27:41,589 - INFO - main.py - train - 87 - train epoch0 step:207/2688 loss0.031889 2022-11-10 22:27:41,927 - INFO - main.py - train - 87 - train epoch0 step:208/2688 loss0.208544 2022-11-10 22:27:42,266 - INFO - main.py - train - 87 - train epoch0 step:209/2688 loss0.015490 2022-11-10 22:27:42,607 - INFO - main.py - train - 87 - train epoch0 step:210/2688 loss0.011979 2022-11-10 22:27:42,932 - INFO - main.py - train - 87 - train epoch0 step:211/2688 loss0.015585 2022-11-10 22:27:43,266 - INFO - main.py - train - 87 - train epoch0 step:212/2688 loss0.016168 2022-11-10 22:27:43,602 - INFO - main.py - train - 87 - train epoch0 step:213/2688 loss0.009844 2022-11-10 22:27:43,936 - INFO - main.py - train - 87 - train epoch0 step:214/2688 loss0.036334 2022-11-10 22:27:44,282 - INFO - main.py - train - 87 - train epoch0 step:215/2688 loss0.087360 2022-11-10 22:27:44,612 - INFO - main.py - train - 87 - train epoch0 step:216/2688 loss0.048759 2022-11-10 22:27:44,958 - INFO - main.py - train - 87 - train epoch0 step:217/2688 loss0.019913 2022-11-10 22:27:45,294 - INFO - main.py - train - 87 - train epoch0 step:218/2688 loss0.004822 2022-11-10 22:27:45,632 - INFO - main.py - train - 87 - train epoch0 step:219/2688 loss0.074628 2022-11-10 22:27:45,969 - INFO - main.py - train - 87 - train epoch0 step:220/2688 loss0.059844 2022-11-10 22:27:46,298 - INFO - main.py - train - 87 - train epoch0 step:221/2688 loss0.027297 2022-11-10 22:27:46,638 - INFO - main.py - train - 87 - train epoch0 step:222/2688 loss0.004288 2022-11-10 22:27:46,980 - INFO - main.py - train - 87 - train epoch0 step:223/2688 loss0.025521 2022-11-10 22:27:47,314 - INFO - main.py - train - 87 - train epoch0 step:224/2688 loss0.003239 2022-11-10 22:27:47,643 - INFO - main.py - train - 87 - train epoch0 step:225/2688 loss0.003322 2022-11-10 22:27:47,986 - INFO - main.py - train - 87 - train epoch0 step:226/2688 loss0.006306 2022-11-10 22:27:48,333 - INFO - main.py - train - 87 - train epoch0 step:227/2688 loss0.018402 2022-11-10 22:27:48,672 - INFO - main.py - train - 87 - train epoch0 step:228/2688 loss0.003291 2022-11-10 22:27:49,009 - INFO - main.py - train - 87 - train epoch0 step:229/2688 loss0.549904 2022-11-10 22:27:49,346 - INFO - main.py - train - 87 - train epoch0 step:230/2688 loss0.006846 2022-11-10 22:27:49,685 - INFO - main.py - train - 87 - train epoch0 step:231/2688 loss0.004560 2022-11-10 22:27:50,029 - INFO - main.py - train - 87 - train epoch0 step:232/2688 loss0.013681 2022-11-10 22:27:50,376 - INFO - main.py - train - 87 - train epoch0 step:233/2688 loss0.012699 2022-11-10 22:27:50,717 - INFO - main.py - train - 87 - train epoch0 step:234/2688 loss0.007482 2022-11-10 22:27:51,060 - INFO - main.py - train - 87 - train epoch0 step:235/2688 loss0.015700 2022-11-10 22:27:51,282 - INFO - main.py - train - 87 - train epoch0 step:236/2688 loss0.008847 2022-11-10 22:27:51,619 - INFO - main.py - train - 87 - train epoch0 step:237/2688 loss0.382613 2022-11-10 22:27:51,956 - INFO - main.py - train - 87 - train epoch0 step:238/2688 loss1.883562 2022-11-10 22:27:52,296 - INFO - main.py - train - 87 - train epoch0 step:239/2688 loss0.001580 2022-11-10 22:27:52,640 - INFO - main.py - train - 87 - train epoch0 step:240/2688 loss0.003220 2022-11-10 22:27:52,972 - INFO - main.py - train - 87 - train epoch0 step:241/2688 loss0.013407 2022-11-10 22:27:53,309 - INFO - main.py - train - 87 - train epoch0 step:242/2688 loss2.334862 2022-11-10 22:27:53,642 - INFO - main.py - train - 87 - train epoch0 step:243/2688 loss0.212771 2022-11-10 22:27:53,979 - INFO - main.py - train - 87 - train epoch0 step:244/2688 loss0.029304 2022-11-10 22:27:54,313 - INFO - main.py - train - 87 - train epoch0 step:245/2688 loss0.005368 2022-11-10 22:27:54,646 - INFO - main.py - train - 87 - train epoch0 step:246/2688 loss0.267961 2022-11-10 22:27:54,865 - INFO - main.py - train - 87 - train epoch0 step:247/2688 loss0.006857 2022-11-10 22:27:55,192 - INFO - main.py - train - 87 - train epoch0 step:248/2688 loss0.015825 2022-11-10 22:27:55,536 - INFO - main.py - train - 87 - train epoch0 step:249/2688 loss0.008790 2022-11-10 22:27:55,873 - INFO - main.py - train - 87 - train epoch0 step:250/2688 loss3.199830 2022-11-10 22:27:56,211 - INFO - main.py - train - 87 - train epoch0 step:251/2688 loss0.015067 2022-11-10 22:27:56,553 - INFO - main.py - train - 87 - train epoch0 step:252/2688 loss0.049639 2022-11-10 22:27:56,902 - INFO - main.py - train - 87 - train epoch0 step:253/2688 loss0.033379 2022-11-10 22:27:57,245 - INFO - main.py - train - 87 - train epoch0 step:254/2688 loss0.039297 2022-11-10 22:27:57,587 - INFO - main.py - train - 87 - train epoch0 step:255/2688 loss0.032410 2022-11-10 22:27:57,929 - INFO - main.py - train - 87 - train epoch0 step:256/2688 loss0.079567 2022-11-10 22:27:58,270 - INFO - main.py - train - 87 - train epoch0 step:257/2688 loss0.100658 2022-11-10 22:27:58,622 - INFO - main.py - train - 87 - train epoch0 step:258/2688 loss0.821999 2022-11-10 22:27:58,961 - INFO - main.py - train - 87 - train epoch0 step:259/2688 loss0.074997 2022-11-10 22:27:59,301 - INFO - main.py - train - 87 - train epoch0 step:260/2688 loss0.016723 2022-11-10 22:27:59,637 - INFO - main.py - train - 87 - train epoch0 step:261/2688 loss0.068749 2022-11-10 22:27:59,849 - INFO - main.py - train - 87 - train epoch0 step:262/2688 loss0.012841 2022-11-10 22:28:00,182 - INFO - main.py - train - 87 - train epoch0 step:263/2688 loss0.045659 2022-11-10 22:28:00,525 - INFO - main.py - train - 87 - train epoch0 step:264/2688 loss0.048292 2022-11-10 22:28:00,866 - INFO - main.py - train - 87 - train epoch0 step:265/2688 loss0.327623 2022-11-10 22:28:01,203 - INFO - main.py - train - 87 - train epoch0 step:266/2688 loss0.462866 2022-11-10 22:28:01,542 - INFO - main.py - train - 87 - train epoch0 step:267/2688 loss0.031255 2022-11-10 22:28:01,887 - INFO - main.py - train - 87 - train epoch0 step:268/2688 loss0.043363 2022-11-10 22:28:02,228 - INFO - main.py - train - 87 - train epoch0 step:269/2688 loss0.439195 2022-11-10 22:28:02,571 - INFO - main.py - train - 87 - train epoch0 step:270/2688 loss0.145571 2022-11-10 22:28:02,908 - INFO - main.py - train - 87 - train epoch0 step:271/2688 loss0.040463 2022-11-10 22:28:03,235 - INFO - main.py - train - 87 - train epoch0 step:272/2688 loss0.983633 2022-11-10 22:28:03,577 - INFO - main.py - train - 87 - train epoch0 step:273/2688 loss0.024104 2022-11-10 22:28:03,911 - INFO - main.py - train - 87 - train epoch0 step:274/2688 loss0.194675 2022-11-10 22:28:04,256 - INFO - main.py - train - 87 - train epoch0 step:275/2688 loss0.021055 2022-11-10 22:28:04,592 - INFO - main.py - train - 87 - train epoch0 step:276/2688 loss0.036767 2022-11-10 22:28:04,939 - INFO - main.py - train - 87 - train epoch0 step:277/2688 loss0.047978 2022-11-10 22:28:05,288 - INFO - main.py - train - 87 - train epoch0 step:278/2688 loss0.012217 2022-11-10 22:28:25,351 - INFO - main.py - train - 87 - train epoch0 step:279/2688 loss1.451632 2022-11-10 22:28:59,707 - INFO - main.py - train - 87 - train epoch0 step:280/2688 loss0.011821 2022-11-10 22:29:03,757 - INFO - main.py - train - 87 - train epoch0 step:281/2688 loss0.014727 2022-11-10 22:33:10,712 - INFO - main.py - train - 88 - train epoch0 step:0/200 loss1.694482 2022-11-10 22:33:11,037 - INFO - main.py - train - 88 - train epoch0 step:1/200 loss1.499144 2022-11-10 22:33:11,363 - INFO - main.py - train - 88 - train epoch0 step:2/200 loss1.123996 2022-11-10 22:33:11,696 - INFO - main.py - train - 88 - train epoch0 step:3/200 loss0.625085 2022-11-10 22:33:12,015 - INFO - main.py - train - 88 - train epoch0 step:4/200 loss1.164915 2022-11-10 22:33:12,337 - INFO - main.py - train - 88 - train epoch0 step:5/200 loss0.201317 2022-11-10 22:33:12,670 - INFO - main.py - train - 88 - train epoch0 step:6/200 loss0.209974 2022-11-10 22:33:12,985 - INFO - main.py - train - 88 - train epoch0 step:7/200 loss0.069630 2022-11-10 22:33:13,311 - INFO - main.py - train - 88 - train epoch0 step:8/200 loss0.066316 2022-11-10 22:33:13,638 - INFO - main.py - train - 88 - train epoch0 step:9/200 loss0.030863 2022-11-10 22:33:13,963 - INFO - main.py - train - 88 - train epoch0 step:10/200 loss0.035351 2022-11-10 22:33:14,295 - INFO - main.py - train - 88 - train epoch0 step:11/200 loss0.016563 2022-11-10 22:33:14,614 - INFO - main.py - train - 88 - train epoch0 step:12/200 loss0.019172 2022-11-10 22:33:14,937 - INFO - main.py - train - 88 - train epoch0 step:13/200 loss0.016066 2022-11-10 22:33:15,145 - INFO - main.py - train - 88 - train epoch0 step:14/200 loss0.011039 2022-11-10 22:33:15,472 - INFO - main.py - train - 88 - train epoch0 step:15/200 loss0.007865 2022-11-10 22:33:15,675 - INFO - main.py - train - 88 - train epoch0 step:16/200 loss0.003502 2022-11-10 22:33:16,000 - INFO - main.py - train - 88 - train epoch0 step:17/200 loss0.009001 2022-11-10 22:33:16,328 - INFO - main.py - train - 88 - train epoch0 step:18/200 loss0.005158 2022-11-10 22:33:16,662 - INFO - main.py - train - 88 - train epoch0 step:19/200 loss0.003290 2022-11-10 22:33:16,984 - INFO - main.py - train - 88 - train epoch0 step:20/200 loss0.003202 2022-11-10 22:33:17,309 - INFO - main.py - train - 88 - train epoch0 step:21/200 loss0.005262 2022-11-10 22:33:17,634 - INFO - main.py - train - 88 - train epoch0 step:22/200 loss0.003604 2022-11-10 22:33:17,961 - INFO - main.py - train - 88 - train epoch0 step:23/200 loss0.003385 2022-11-10 22:33:18,291 - INFO - main.py - train - 88 - train epoch0 step:24/200 loss0.001615 2022-11-10 22:33:18,610 - INFO - main.py - train - 88 - train epoch0 step:25/200 loss0.003858 2022-11-10 22:33:18,931 - INFO - main.py - train - 88 - train epoch0 step:26/200 loss0.003558 2022-11-10 22:33:19,253 - INFO - main.py - train - 88 - train epoch0 step:27/200 loss0.001739 2022-11-10 22:33:19,583 - INFO - main.py - train - 88 - train epoch0 step:28/200 loss4.105797 2022-11-10 22:33:19,901 - INFO - main.py - train - 88 - train epoch0 step:29/200 loss0.005065 2022-11-10 22:33:20,229 - INFO - main.py - train - 88 - train epoch0 step:30/200 loss0.003172 2022-11-10 22:33:20,552 - INFO - main.py - train - 88 - train epoch0 step:31/200 loss0.003677 2022-11-10 22:33:20,874 - INFO - main.py - train - 88 - train epoch0 step:32/200 loss3.325720 2022-11-10 22:33:21,203 - INFO - main.py - train - 88 - train epoch0 step:33/200 loss3.143489 2022-11-10 22:33:21,529 - INFO - main.py - train - 88 - train epoch0 step:34/200 loss0.008313 2022-11-10 22:33:21,849 - INFO - main.py - train - 88 - train epoch0 step:35/200 loss0.007896 2022-11-10 22:33:22,177 - INFO - main.py - train - 88 - train epoch0 step:36/200 loss0.013320 2022-11-10 22:33:22,493 - INFO - main.py - train - 88 - train epoch0 step:37/200 loss0.022339 2022-11-10 22:33:22,711 - INFO - main.py - train - 88 - train epoch0 step:38/200 loss0.051035 2022-11-10 22:33:23,046 - INFO - main.py - train - 88 - train epoch0 step:39/200 loss0.036786 2022-11-10 22:33:23,366 - INFO - main.py - train - 88 - train epoch0 step:40/200 loss0.093870 2022-11-10 22:33:23,702 - INFO - main.py - train - 88 - train epoch0 step:41/200 loss0.106166 2022-11-10 22:33:24,030 - INFO - main.py - train - 88 - train epoch0 step:42/200 loss0.078973 2022-11-10 22:33:24,357 - INFO - main.py - train - 88 - train epoch0 step:43/200 loss0.079709 2022-11-10 22:33:24,690 - INFO - main.py - train - 88 - train epoch0 step:44/200 loss0.065056 2022-11-10 22:33:25,008 - INFO - main.py - train - 88 - train epoch0 step:45/200 loss0.028478 2022-11-10 22:33:25,343 - INFO - main.py - train - 88 - train epoch0 step:46/200 loss0.040557 2022-11-10 22:33:25,663 - INFO - main.py - train - 88 - train epoch0 step:47/200 loss0.044330 2022-11-10 22:33:25,985 - INFO - main.py - train - 88 - train epoch0 step:48/200 loss0.042373 2022-11-10 22:33:26,314 - INFO - main.py - train - 88 - train epoch0 step:49/200 loss0.033207 2022-11-10 22:33:26,522 - INFO - main.py - train - 88 - train epoch0 step:50/200 loss0.029671 2022-11-10 22:33:26,840 - INFO - main.py - train - 88 - train epoch0 step:51/200 loss2.401934 2022-11-10 22:33:27,167 - INFO - main.py - train - 88 - train epoch0 step:52/200 loss1.383365 2022-11-10 22:33:27,492 - INFO - main.py - train - 88 - train epoch0 step:53/200 loss0.064671 2022-11-10 22:33:27,820 - INFO - main.py - train - 88 - train epoch0 step:54/200 loss1.728102 2022-11-10 22:33:28,133 - INFO - main.py - train - 88 - train epoch0 step:55/200 loss0.073153 2022-11-10 22:33:28,467 - INFO - main.py - train - 88 - train epoch0 step:56/200 loss0.921958 2022-11-10 22:33:28,791 - INFO - main.py - train - 88 - train epoch0 step:57/200 loss0.241711 2022-11-10 22:33:29,113 - INFO - main.py - train - 88 - train epoch0 step:58/200 loss3.817934 2022-11-10 22:33:29,442 - INFO - main.py - train - 88 - train epoch0 step:59/200 loss0.831552 2022-11-10 22:33:29,766 - INFO - main.py - train - 88 - train epoch0 step:60/200 loss0.653378 2022-11-10 22:33:30,096 - INFO - main.py - train - 88 - train epoch0 step:61/200 loss1.165219 2022-11-10 22:33:30,417 - INFO - main.py - train - 88 - train epoch0 step:62/200 loss0.423998 2022-11-10 22:33:30,740 - INFO - main.py - train - 88 - train epoch0 step:63/200 loss0.529469 2022-11-10 22:33:31,059 - INFO - main.py - train - 88 - train epoch0 step:64/200 loss0.209547 2022-11-10 22:33:31,383 - INFO - main.py - train - 88 - train epoch0 step:65/200 loss0.323792 2022-11-10 22:33:31,591 - INFO - main.py - train - 88 - train epoch0 step:66/200 loss0.070411 2022-11-10 22:33:31,915 - INFO - main.py - train - 88 - train epoch0 step:67/200 loss1.155958 2022-11-10 22:33:32,234 - INFO - main.py - train - 88 - train epoch0 step:68/200 loss0.070195 2022-11-10 22:33:32,444 - INFO - main.py - train - 88 - train epoch0 step:69/200 loss0.034961 2022-11-10 22:33:32,768 - INFO - main.py - train - 88 - train epoch0 step:70/200 loss0.055601 2022-11-10 22:33:33,083 - INFO - main.py - train - 88 - train epoch0 step:71/200 loss0.069085 2022-11-10 22:33:33,302 - INFO - main.py - train - 88 - train epoch0 step:72/200 loss0.051325 2022-11-10 22:33:33,510 - INFO - main.py - train - 88 - train epoch0 step:73/200 loss0.041386 2022-11-10 22:33:33,843 - INFO - main.py - train - 88 - train epoch0 step:74/200 loss0.032641 2022-11-10 22:33:34,169 - INFO - main.py - train - 88 - train epoch0 step:75/200 loss0.028716 2022-11-10 22:33:34,495 - INFO - main.py - train - 88 - train epoch0 step:76/200 loss0.034587 2022-11-10 22:33:34,820 - INFO - main.py - train - 88 - train epoch0 step:77/200 loss0.018762 2022-11-10 22:33:35,147 - INFO - main.py - train - 88 - train epoch0 step:78/200 loss0.024614 2022-11-10 22:33:35,477 - INFO - main.py - train - 88 - train epoch0 step:79/200 loss0.022620 2022-11-10 22:33:35,808 - INFO - main.py - train - 88 - train epoch0 step:80/200 loss0.011791 2022-11-10 22:33:36,126 - INFO - main.py - train - 88 - train epoch0 step:81/200 loss0.031193 2022-11-10 22:33:36,455 - INFO - main.py - train - 88 - train epoch0 step:82/200 loss2.813082 2022-11-10 22:33:36,779 - INFO - main.py - train - 88 - train epoch0 step:83/200 loss0.017672 2022-11-10 22:33:37,099 - INFO - main.py - train - 88 - train epoch0 step:84/200 loss0.035989 2022-11-10 22:33:37,437 - INFO - main.py - train - 88 - train epoch0 step:85/200 loss0.024666 2022-11-10 22:33:37,771 - INFO - main.py - train - 88 - train epoch0 step:86/200 loss0.029573 2022-11-10 22:33:38,098 - INFO - main.py - train - 88 - train epoch0 step:87/200 loss0.012805 2022-11-10 22:33:38,425 - INFO - main.py - train - 88 - train epoch0 step:88/200 loss0.016364 2022-11-10 22:33:38,623 - INFO - main.py - train - 88 - train epoch0 step:89/200 loss0.012542 2022-11-10 22:33:38,949 - INFO - main.py - train - 88 - train epoch0 step:90/200 loss0.011016 2022-11-10 22:33:39,289 - INFO - main.py - train - 88 - train epoch0 step:91/200 loss0.016467 2022-11-10 22:33:39,622 - INFO - main.py - train - 88 - train epoch0 step:92/200 loss0.020575 2022-11-10 22:33:39,956 - INFO - main.py - train - 88 - train epoch0 step:93/200 loss0.018162 2022-11-10 22:33:40,287 - INFO - main.py - train - 88 - train epoch0 step:94/200 loss0.010983 2022-11-10 22:33:40,607 - INFO - main.py - train - 88 - train epoch0 step:95/200 loss0.015166 2022-11-10 22:33:40,942 - INFO - main.py - train - 88 - train epoch0 step:96/200 loss2.882608 2022-11-10 22:33:41,268 - INFO - main.py - train - 88 - train epoch0 step:97/200 loss1.593594 2022-11-10 22:33:41,596 - INFO - main.py - train - 88 - train epoch0 step:98/200 loss0.017314 2022-11-10 22:33:41,924 - INFO - main.py - train - 88 - train epoch0 step:99/200 loss0.017287 2022-11-10 22:33:42,137 - INFO - main.py - train - 88 - train epoch0 step:100/200 loss0.049522 2022-11-10 22:33:42,457 - INFO - main.py - train - 88 - train epoch0 step:101/200 loss0.027292 2022-11-10 22:33:42,777 - INFO - main.py - train - 88 - train epoch0 step:102/200 loss0.037234 2022-11-10 22:33:43,107 - INFO - main.py - train - 88 - train epoch0 step:103/200 loss0.036596 2022-11-10 22:33:43,432 - INFO - main.py - train - 88 - train epoch0 step:104/200 loss1.457014 2022-11-10 22:33:43,755 - INFO - main.py - train - 88 - train epoch0 step:105/200 loss0.044092 2022-11-10 22:33:44,091 - INFO - main.py - train - 88 - train epoch0 step:106/200 loss0.067292 2022-11-10 22:33:44,424 - INFO - main.py - train - 88 - train epoch0 step:107/200 loss1.623168 2022-11-10 22:33:44,744 - INFO - main.py - train - 88 - train epoch0 step:108/200 loss0.115475 2022-11-10 22:33:45,079 - INFO - main.py - train - 88 - train epoch0 step:109/200 loss0.247144 2022-11-10 22:33:45,402 - INFO - main.py - train - 88 - train epoch0 step:110/200 loss0.135680 2022-11-10 22:33:45,727 - INFO - main.py - train - 88 - train epoch0 step:111/200 loss0.117617 2022-11-10 22:33:46,053 - INFO - main.py - train - 88 - train epoch0 step:112/200 loss0.190472 2022-11-10 22:33:46,389 - INFO - main.py - train - 88 - train epoch0 step:113/200 loss0.156819 2022-11-10 22:33:46,594 - INFO - main.py - train - 88 - train epoch0 step:114/200 loss0.067849 2022-11-10 22:33:46,919 - INFO - main.py - train - 88 - train epoch0 step:115/200 loss0.125511 2022-11-10 22:33:47,243 - INFO - main.py - train - 88 - train epoch0 step:116/200 loss0.179801 2022-11-10 22:33:47,571 - INFO - main.py - train - 88 - train epoch0 step:117/200 loss0.169508 2022-11-10 22:33:47,903 - INFO - main.py - train - 88 - train epoch0 step:118/200 loss0.064129 2022-11-10 22:33:48,233 - INFO - main.py - train - 88 - train epoch0 step:119/200 loss0.055570 2022-11-10 22:33:48,562 - INFO - main.py - train - 88 - train epoch0 step:120/200 loss0.027426 2022-11-10 22:33:48,884 - INFO - main.py - train - 88 - train epoch0 step:121/200 loss0.031430 2022-11-10 22:33:49,091 - INFO - main.py - train - 88 - train epoch0 step:122/200 loss0.006711 2022-11-10 22:33:49,417 - INFO - main.py - train - 88 - train epoch0 step:123/200 loss0.025743 2022-11-10 22:33:49,739 - INFO - main.py - train - 88 - train epoch0 step:124/200 loss0.011425 2022-11-10 22:33:50,063 - INFO - main.py - train - 88 - train epoch0 step:125/200 loss0.011855 2022-11-10 22:33:50,390 - INFO - main.py - train - 88 - train epoch0 step:126/200 loss0.009019 2022-11-10 22:33:50,713 - INFO - main.py - train - 88 - train epoch0 step:127/200 loss0.011060 2022-11-10 22:33:51,041 - INFO - main.py - train - 88 - train epoch0 step:128/200 loss0.005396 2022-11-10 22:33:51,367 - INFO - main.py - train - 88 - train epoch0 step:129/200 loss0.013137 2022-11-10 22:33:51,691 - INFO - main.py - train - 88 - train epoch0 step:130/200 loss0.005979 2022-11-10 22:33:52,024 - INFO - main.py - train - 88 - train epoch0 step:131/200 loss0.007407 2022-11-10 22:33:52,351 - INFO - main.py - train - 88 - train epoch0 step:132/200 loss0.005427 2022-11-10 22:33:52,677 - INFO - main.py - train - 88 - train epoch0 step:133/200 loss0.007785 2022-11-10 22:33:52,885 - INFO - main.py - train - 88 - train epoch0 step:134/200 loss0.003861 2022-11-10 22:33:53,205 - INFO - main.py - train - 88 - train epoch0 step:135/200 loss0.004993 2022-11-10 22:33:53,537 - INFO - main.py - train - 88 - train epoch0 step:136/200 loss0.002826 2022-11-10 22:33:53,868 - INFO - main.py - train - 88 - train epoch0 step:137/200 loss1.407439 2022-11-10 22:33:54,199 - INFO - main.py - train - 88 - train epoch0 step:138/200 loss1.766741 2022-11-10 22:33:54,528 - INFO - main.py - train - 88 - train epoch0 step:139/200 loss0.006852 2022-11-10 22:33:54,852 - INFO - main.py - train - 88 - train epoch0 step:140/200 loss1.894526 2022-11-10 22:33:55,177 - INFO - main.py - train - 88 - train epoch0 step:141/200 loss0.014511 2022-11-10 22:33:55,504 - INFO - main.py - train - 88 - train epoch0 step:142/200 loss2.159206 2022-11-10 22:33:55,831 - INFO - main.py - train - 88 - train epoch0 step:143/200 loss0.025878 2022-11-10 22:33:56,158 - INFO - main.py - train - 88 - train epoch0 step:144/200 loss0.253670 2022-11-10 22:33:56,487 - INFO - main.py - train - 88 - train epoch0 step:145/200 loss0.061386 2022-11-10 22:33:56,820 - INFO - main.py - train - 88 - train epoch0 step:146/200 loss0.067491 2022-11-10 22:33:57,147 - INFO - main.py - train - 88 - train epoch0 step:147/200 loss0.093158 2022-11-10 22:33:57,480 - INFO - main.py - train - 88 - train epoch0 step:148/200 loss0.093446 2022-11-10 22:33:57,815 - INFO - main.py - train - 88 - train epoch0 step:149/200 loss0.053746 2022-11-10 22:33:58,139 - INFO - main.py - train - 88 - train epoch0 step:150/200 loss0.112572 2022-11-10 22:33:58,347 - INFO - main.py - train - 88 - train epoch0 step:151/200 loss0.091916 2022-11-10 22:33:58,680 - INFO - main.py - train - 88 - train epoch0 step:152/200 loss0.257159 2022-11-10 22:33:59,007 - INFO - main.py - train - 88 - train epoch0 step:153/200 loss0.063097 2022-11-10 22:33:59,338 - INFO - main.py - train - 88 - train epoch0 step:154/200 loss1.249035 2022-11-10 22:33:59,669 - INFO - main.py - train - 88 - train epoch0 step:155/200 loss0.038674 2022-11-10 22:34:00,004 - INFO - main.py - train - 88 - train epoch0 step:156/200 loss0.085432 2022-11-10 22:34:00,337 - INFO - main.py - train - 88 - train epoch0 step:157/200 loss0.091594 2022-11-10 22:34:00,672 - INFO - main.py - train - 88 - train epoch0 step:158/200 loss0.098570 2022-11-10 22:34:01,001 - INFO - main.py - train - 88 - train epoch0 step:159/200 loss0.988921 2022-11-10 22:34:01,336 - INFO - main.py - train - 88 - train epoch0 step:160/200 loss1.095011 2022-11-10 22:34:01,658 - INFO - main.py - train - 88 - train epoch0 step:161/200 loss0.076085 2022-11-10 22:34:01,980 - INFO - main.py - train - 88 - train epoch0 step:162/200 loss0.089826 2022-11-10 22:34:02,317 - INFO - main.py - train - 88 - train epoch0 step:163/200 loss0.214435 2022-11-10 22:34:02,657 - INFO - main.py - train - 88 - train epoch0 step:164/200 loss0.528373 2022-11-10 22:34:02,986 - INFO - main.py - train - 88 - train epoch0 step:165/200 loss0.280828 2022-11-10 22:34:03,324 - INFO - main.py - train - 88 - train epoch0 step:166/200 loss0.087634 2022-11-10 22:34:03,657 - INFO - main.py - train - 88 - train epoch0 step:167/200 loss0.135352 2022-11-10 22:34:03,995 - INFO - main.py - train - 88 - train epoch0 step:168/200 loss0.631675 2022-11-10 22:34:04,329 - INFO - main.py - train - 88 - train epoch0 step:169/200 loss0.227698 2022-11-10 22:34:04,658 - INFO - main.py - train - 88 - train epoch0 step:170/200 loss0.393284 2022-11-10 22:34:04,988 - INFO - main.py - train - 88 - train epoch0 step:171/200 loss0.121538 2022-11-10 22:34:05,322 - INFO - main.py - train - 88 - train epoch0 step:172/200 loss0.072137 2022-11-10 22:34:05,655 - INFO - main.py - train - 88 - train epoch0 step:173/200 loss0.036847 2022-11-10 22:34:05,985 - INFO - main.py - train - 88 - train epoch0 step:174/200 loss0.032087 2022-11-10 22:34:06,315 - INFO - main.py - train - 88 - train epoch0 step:175/200 loss0.015717 2022-11-10 22:34:06,647 - INFO - main.py - train - 88 - train epoch0 step:176/200 loss0.482004 2022-11-10 22:34:06,980 - INFO - main.py - train - 88 - train epoch0 step:177/200 loss1.158147 2022-11-10 22:34:07,320 - INFO - main.py - train - 88 - train epoch0 step:178/200 loss0.020228 2022-11-10 22:34:07,650 - INFO - main.py - train - 88 - train epoch0 step:179/200 loss0.033312 2022-11-10 22:34:07,983 - INFO - main.py - train - 88 - train epoch0 step:180/200 loss0.020832 2022-11-10 22:34:08,315 - INFO - main.py - train - 88 - train epoch0 step:181/200 loss0.091294 2022-11-10 22:34:08,642 - INFO - main.py - train - 88 - train epoch0 step:182/200 loss0.591359 2022-11-10 22:34:08,974 - INFO - main.py - train - 88 - train epoch0 step:183/200 loss0.023986 2022-11-10 22:34:09,314 - INFO - main.py - train - 88 - train epoch0 step:184/200 loss0.085160 2022-11-10 22:34:09,645 - INFO - main.py - train - 88 - train epoch0 step:185/200 loss0.129040 2022-11-10 22:34:09,970 - INFO - main.py - train - 88 - train epoch0 step:186/200 loss0.298356 2022-11-10 22:34:10,297 - INFO - main.py - train - 88 - train epoch0 step:187/200 loss0.046033 2022-11-10 22:34:10,625 - INFO - main.py - train - 88 - train epoch0 step:188/200 loss0.016503 2022-11-10 22:34:10,946 - INFO - main.py - train - 88 - train epoch0 step:189/200 loss0.047064 2022-11-10 22:34:11,275 - INFO - main.py - train - 88 - train epoch0 step:190/200 loss0.024465 2022-11-10 22:34:11,603 - INFO - main.py - train - 88 - train epoch0 step:191/200 loss0.041162 2022-11-10 22:34:11,938 - INFO - main.py - train - 88 - train epoch0 step:192/200 loss0.036800 2022-11-10 22:34:12,272 - INFO - main.py - train - 88 - train epoch0 step:193/200 loss0.035416 2022-11-10 22:34:12,599 - INFO - main.py - train - 88 - train epoch0 step:194/200 loss0.028579 2022-11-10 22:34:12,940 - INFO - main.py - train - 88 - train epoch0 step:195/200 loss0.012169 2022-11-10 22:34:13,277 - INFO - main.py - train - 88 - train epoch0 step:196/200 loss0.015942 2022-11-10 22:34:13,611 - INFO - main.py - train - 88 - train epoch0 step:197/200 loss0.037254 2022-11-10 22:34:13,947 - INFO - main.py - train - 88 - train epoch0 step:198/200 loss0.010609 2022-11-10 22:34:14,274 - INFO - main.py - train - 88 - train epoch0 step:199/200 loss0.011020 2022-11-10 22:34:14,599 - INFO - main.py - train - 88 - train epoch0 step:200/200 loss0.002532 2022-11-10 22:34:14,926 - INFO - main.py - train - 88 - train epoch0 step:201/200 loss0.027680 2022-11-10 22:34:15,258 - INFO - main.py - train - 88 - train epoch0 step:202/200 loss0.004560 2022-11-10 22:34:15,598 - INFO - main.py - train - 88 - train epoch0 step:203/200 loss0.796982 2022-11-10 22:34:15,933 - INFO - main.py - train - 88 - train epoch0 step:204/200 loss0.008622 2022-11-10 22:34:16,263 - INFO - main.py - train - 88 - train epoch0 step:205/200 loss0.003542 2022-11-10 22:34:16,588 - INFO - main.py - train - 88 - train epoch0 step:206/200 loss0.010381 2022-11-10 22:34:16,923 - INFO - main.py - train - 88 - train epoch0 step:207/200 loss0.031889 2022-11-10 22:34:17,260 - INFO - main.py - train - 88 - train epoch0 step:208/200 loss0.208544 2022-11-10 22:34:17,591 - INFO - main.py - train - 88 - train epoch0 step:209/200 loss0.015490 2022-11-10 22:34:17,923 - INFO - main.py - train - 88 - train epoch0 step:210/200 loss0.011979 2022-11-10 22:34:18,246 - INFO - main.py - train - 88 - train epoch0 step:211/200 loss0.015585 2022-11-10 22:34:18,577 - INFO - main.py - train - 88 - train epoch0 step:212/200 loss0.016168 2022-11-10 22:34:18,905 - INFO - main.py - train - 88 - train epoch0 step:213/200 loss0.009844 2022-11-10 22:34:19,240 - INFO - main.py - train - 88 - train epoch0 step:214/200 loss0.036334 2022-11-10 22:34:19,569 - INFO - main.py - train - 88 - train epoch0 step:215/200 loss0.087360 2022-11-10 22:34:19,895 - INFO - main.py - train - 88 - train epoch0 step:216/200 loss0.048759 2022-11-10 22:34:20,234 - INFO - main.py - train - 88 - train epoch0 step:217/200 loss0.019913 2022-11-10 22:34:20,562 - INFO - main.py - train - 88 - train epoch0 step:218/200 loss0.004822 2022-11-10 22:34:20,896 - INFO - main.py - train - 88 - train epoch0 step:219/200 loss0.074628 2022-11-10 22:34:21,224 - INFO - main.py - train - 88 - train epoch0 step:220/200 loss0.059844 2022-11-10 22:34:21,560 - INFO - main.py - train - 88 - train epoch0 step:221/200 loss0.027297 2022-11-10 22:34:21,895 - INFO - main.py - train - 88 - train epoch0 step:222/200 loss0.004288 2022-11-10 22:34:22,227 - INFO - main.py - train - 88 - train epoch0 step:223/200 loss0.025521 2022-11-10 22:34:22,566 - INFO - main.py - train - 88 - train epoch0 step:224/200 loss0.003239 2022-11-10 22:34:22,888 - INFO - main.py - train - 88 - train epoch0 step:225/200 loss0.003322 2022-11-10 22:34:23,219 - INFO - main.py - train - 88 - train epoch0 step:226/200 loss0.006306 2022-11-10 22:34:23,557 - INFO - main.py - train - 88 - train epoch0 step:227/200 loss0.018402 2022-11-10 22:34:23,888 - INFO - main.py - train - 88 - train epoch0 step:228/200 loss0.003291 2022-11-10 22:34:24,221 - INFO - main.py - train - 88 - train epoch0 step:229/200 loss0.549904 2022-11-10 22:34:24,551 - INFO - main.py - train - 88 - train epoch0 step:230/200 loss0.006846 2022-11-10 22:34:24,877 - INFO - main.py - train - 88 - train epoch0 step:231/200 loss0.004560 2022-11-10 22:34:25,205 - INFO - main.py - train - 88 - train epoch0 step:232/200 loss0.013681 2022-11-10 22:34:25,545 - INFO - main.py - train - 88 - train epoch0 step:233/200 loss0.012699 2022-11-10 22:34:25,871 - INFO - main.py - train - 88 - train epoch0 step:234/200 loss0.007482 2022-11-10 22:34:26,206 - INFO - main.py - train - 88 - train epoch0 step:235/200 loss0.015700 2022-11-10 22:34:26,423 - INFO - main.py - train - 88 - train epoch0 step:236/200 loss0.008847 2022-11-10 22:34:26,752 - INFO - main.py - train - 88 - train epoch0 step:237/200 loss0.382613 2022-11-10 22:34:27,090 - INFO - main.py - train - 88 - train epoch0 step:238/200 loss1.883562 2022-11-10 22:34:27,430 - INFO - main.py - train - 88 - train epoch0 step:239/200 loss0.001580 2022-11-10 22:34:27,762 - INFO - main.py - train - 88 - train epoch0 step:240/200 loss0.003220 2022-11-10 22:34:28,093 - INFO - main.py - train - 88 - train epoch0 step:241/200 loss0.013407 2022-11-10 22:34:28,423 - INFO - main.py - train - 88 - train epoch0 step:242/200 loss2.334862 2022-11-10 22:34:28,748 - INFO - main.py - train - 88 - train epoch0 step:243/200 loss0.212771 2022-11-10 22:39:06,157 - INFO - main.py - - 296 - ========в======== 2022-11-10 22:42:33,782 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 22:42:34,101 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 22:42:34,426 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 22:42:34,751 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 22:42:35,080 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 22:42:35,408 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 22:42:35,732 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 22:42:36,058 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 22:42:36,386 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 22:42:36,711 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 22:42:37,034 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 22:42:37,358 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 22:42:37,672 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 22:42:37,996 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 22:42:38,210 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 22:42:38,538 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 22:42:38,741 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 22:42:39,066 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 22:42:39,398 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 22:42:39,731 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 22:42:40,055 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 22:42:40,377 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 22:42:40,697 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 22:42:41,022 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 22:42:41,359 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 22:42:41,686 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 22:42:42,010 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 22:42:42,343 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 22:42:42,674 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 22:42:42,989 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 22:42:43,318 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 22:42:43,641 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 22:42:43,966 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 22:42:44,295 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 22:42:44,614 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 22:42:44,936 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 22:42:45,263 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 22:42:45,584 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 22:42:45,792 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 22:42:46,122 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 22:42:46,449 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 22:42:46,780 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 22:42:47,110 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 22:42:47,441 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 22:42:47,770 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 22:42:48,104 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 22:42:48,438 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 22:42:48,771 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 22:42:49,104 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 22:42:49,422 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 22:42:49,625 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 22:42:49,946 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 22:42:50,278 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 22:42:50,605 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 22:42:50,934 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 22:42:51,266 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 22:42:51,592 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 22:42:51,916 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 22:42:52,246 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 22:42:52,575 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 22:42:52,905 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 22:42:53,236 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 22:42:53,563 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 22:42:53,882 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 22:42:54,203 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 22:42:54,532 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 22:42:54,738 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 22:42:55,059 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 22:42:55,394 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 22:42:55,606 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 22:42:55,930 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 22:42:56,256 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 22:42:56,469 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 22:42:56,679 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 22:42:57,008 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 22:42:57,339 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 22:42:57,662 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 22:42:57,986 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 22:42:58,310 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 22:42:58,637 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 22:42:58,955 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 22:42:59,272 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 22:42:59,600 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 22:42:59,921 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 22:43:00,244 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 22:43:00,589 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 22:43:00,920 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 22:43:01,244 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 22:43:01,578 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 22:43:01,784 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 22:43:02,120 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 22:43:02,454 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 22:43:02,787 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 22:43:03,114 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 22:43:03,446 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 22:43:03,782 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 22:43:04,110 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 22:43:04,436 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 22:43:04,772 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 22:43:05,095 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 22:48:20,038 - INFO - main.py - - 295 - ========в======== 2022-11-10 23:00:58,832 - INFO - main.py - - 295 - ========в======== 2022-11-10 23:05:50,884 - INFO - main.py - - 295 - ========в======== 2022-11-10 23:06:20,482 - INFO - main.py - - 295 - ========в======== 2022-11-10 23:07:39,371 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 23:07:39,695 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 23:07:40,021 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 23:07:40,348 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 23:07:40,670 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 23:07:40,989 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 23:07:41,323 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 23:07:41,649 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 23:07:41,974 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 23:07:42,299 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 23:07:42,620 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 23:07:42,942 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 23:07:43,264 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 23:07:43,591 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 23:07:43,800 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 23:07:44,124 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 23:07:44,331 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 23:07:44,667 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 23:07:44,996 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 23:07:45,322 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 23:07:45,651 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 23:07:45,979 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 23:07:46,303 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 23:07:46,633 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 23:07:46,962 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 23:07:47,283 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 23:07:47,602 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 23:07:47,929 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 23:07:48,256 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 23:07:48,578 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 23:07:48,903 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 23:07:49,223 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 23:07:49,556 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 23:07:49,880 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 23:07:50,207 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 23:07:50,538 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 23:07:50,871 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 23:07:51,189 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 23:07:51,398 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 23:07:51,728 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 23:07:52,054 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 23:07:52,382 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 23:07:52,717 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 23:07:53,047 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 23:07:53,380 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 23:07:53,710 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 23:07:54,032 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 23:07:54,350 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 23:07:54,684 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 23:07:55,004 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 23:07:55,206 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 23:07:55,527 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 23:07:55,857 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 23:07:56,182 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 23:07:56,497 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 23:07:56,834 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 23:07:57,162 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 23:07:57,490 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 23:07:57,830 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 23:07:58,160 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 23:07:58,491 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 23:07:58,821 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 23:07:59,144 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 23:07:59,470 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 23:07:59,803 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 23:08:00,130 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 23:08:00,338 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 23:08:00,665 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 23:08:00,993 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 23:08:01,205 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 23:08:01,524 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 23:08:01,857 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 23:08:02,060 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 23:08:02,265 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 23:08:02,589 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 23:08:02,919 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 23:08:03,245 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 23:08:03,568 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 23:08:03,892 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 23:08:04,226 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 23:08:04,551 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 23:08:04,876 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 23:08:05,200 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 23:08:05,530 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 23:08:05,854 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 23:08:06,183 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 23:08:06,516 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 23:08:06,850 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 23:08:07,178 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 23:08:07,384 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 23:08:07,718 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 23:08:08,051 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 23:08:08,380 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 23:08:08,722 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 23:08:09,054 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 23:08:09,383 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 23:08:09,710 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 23:08:10,038 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 23:08:10,378 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 23:08:10,704 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 23:08:10,917 - INFO - main.py - train - 88 - train epoch0 step:100/2688 loss0.049522 2022-11-10 23:08:11,243 - INFO - main.py - train - 88 - train epoch0 step:101/2688 loss0.027292 2022-11-10 23:08:11,577 - INFO - main.py - train - 88 - train epoch0 step:102/2688 loss0.037234 2022-11-10 23:08:11,915 - INFO - main.py - train - 88 - train epoch0 step:103/2688 loss0.036596 2022-11-10 23:08:12,244 - INFO - main.py - train - 88 - train epoch0 step:104/2688 loss1.457014 2022-11-10 23:08:12,569 - INFO - main.py - train - 88 - train epoch0 step:105/2688 loss0.044092 2022-11-10 23:08:12,906 - INFO - main.py - train - 88 - train epoch0 step:106/2688 loss0.067292 2022-11-10 23:08:13,232 - INFO - main.py - train - 88 - train epoch0 step:107/2688 loss1.623168 2022-11-10 23:08:13,559 - INFO - main.py - train - 88 - train epoch0 step:108/2688 loss0.115475 2022-11-10 23:08:13,885 - INFO - main.py - train - 88 - train epoch0 step:109/2688 loss0.247144 2022-11-10 23:08:14,209 - INFO - main.py - train - 88 - train epoch0 step:110/2688 loss0.135680 2022-11-10 23:08:14,536 - INFO - main.py - train - 88 - train epoch0 step:111/2688 loss0.117617 2022-11-10 23:08:14,863 - INFO - main.py - train - 88 - train epoch0 step:112/2688 loss0.190472 2022-11-10 23:08:15,201 - INFO - main.py - train - 88 - train epoch0 step:113/2688 loss0.156819 2022-11-10 23:08:15,406 - INFO - main.py - train - 88 - train epoch0 step:114/2688 loss0.067849 2022-11-10 23:08:15,728 - INFO - main.py - train - 88 - train epoch0 step:115/2688 loss0.125511 2022-11-10 23:08:16,054 - INFO - main.py - train - 88 - train epoch0 step:116/2688 loss0.179801 2022-11-10 23:08:16,379 - INFO - main.py - train - 88 - train epoch0 step:117/2688 loss0.169508 2022-11-10 23:08:16,705 - INFO - main.py - train - 88 - train epoch0 step:118/2688 loss0.064129 2022-11-10 23:08:17,029 - INFO - main.py - train - 88 - train epoch0 step:119/2688 loss0.055570 2022-11-10 23:08:17,361 - INFO - main.py - train - 88 - train epoch0 step:120/2688 loss0.027426 2022-11-10 23:08:17,693 - INFO - main.py - train - 88 - train epoch0 step:121/2688 loss0.031430 2022-11-10 23:08:17,900 - INFO - main.py - train - 88 - train epoch0 step:122/2688 loss0.006711 2022-11-10 23:08:18,227 - INFO - main.py - train - 88 - train epoch0 step:123/2688 loss0.025743 2022-11-10 23:08:18,551 - INFO - main.py - train - 88 - train epoch0 step:124/2688 loss0.011425 2022-11-10 23:08:18,873 - INFO - main.py - train - 88 - train epoch0 step:125/2688 loss0.011855 2022-11-10 23:08:19,196 - INFO - main.py - train - 88 - train epoch0 step:126/2688 loss0.009019 2022-11-10 23:08:19,516 - INFO - main.py - train - 88 - train epoch0 step:127/2688 loss0.011060 2022-11-10 23:08:19,846 - INFO - main.py - train - 88 - train epoch0 step:128/2688 loss0.005396 2022-11-10 23:08:20,174 - INFO - main.py - train - 88 - train epoch0 step:129/2688 loss0.013137 2022-11-10 23:08:20,505 - INFO - main.py - train - 88 - train epoch0 step:130/2688 loss0.005979 2022-11-10 23:08:20,841 - INFO - main.py - train - 88 - train epoch0 step:131/2688 loss0.007407 2022-11-10 23:08:21,165 - INFO - main.py - train - 88 - train epoch0 step:132/2688 loss0.005427 2022-11-10 23:08:21,490 - INFO - main.py - train - 88 - train epoch0 step:133/2688 loss0.007785 2022-11-10 23:08:21,697 - INFO - main.py - train - 88 - train epoch0 step:134/2688 loss0.003861 2022-11-10 23:08:22,034 - INFO - main.py - train - 88 - train epoch0 step:135/2688 loss0.004993 2022-11-10 23:08:22,363 - INFO - main.py - train - 88 - train epoch0 step:136/2688 loss0.002826 2022-11-10 23:08:22,700 - INFO - main.py - train - 88 - train epoch0 step:137/2688 loss1.407439 2022-11-10 23:08:23,028 - INFO - main.py - train - 88 - train epoch0 step:138/2688 loss1.766741 2022-11-10 23:08:23,350 - INFO - main.py - train - 88 - train epoch0 step:139/2688 loss0.006852 2022-11-10 23:08:23,678 - INFO - main.py - train - 88 - train epoch0 step:140/2688 loss1.894526 2022-11-10 23:08:24,007 - INFO - main.py - train - 88 - train epoch0 step:141/2688 loss0.014511 2022-11-10 23:08:24,341 - INFO - main.py - train - 88 - train epoch0 step:142/2688 loss2.159206 2022-11-10 23:08:24,672 - INFO - main.py - train - 88 - train epoch0 step:143/2688 loss0.025878 2022-11-10 23:08:25,008 - INFO - main.py - train - 88 - train epoch0 step:144/2688 loss0.253670 2022-11-10 23:08:25,336 - INFO - main.py - train - 88 - train epoch0 step:145/2688 loss0.061386 2022-11-10 23:08:25,665 - INFO - main.py - train - 88 - train epoch0 step:146/2688 loss0.067491 2022-11-10 23:08:25,996 - INFO - main.py - train - 88 - train epoch0 step:147/2688 loss0.093158 2022-11-10 23:08:26,335 - INFO - main.py - train - 88 - train epoch0 step:148/2688 loss0.093446 2022-11-10 23:08:26,670 - INFO - main.py - train - 88 - train epoch0 step:149/2688 loss0.053746 2022-11-10 23:08:27,000 - INFO - main.py - train - 88 - train epoch0 step:150/2688 loss0.112572 2022-11-10 23:08:27,207 - INFO - main.py - train - 88 - train epoch0 step:151/2688 loss0.091916 2022-11-10 23:08:27,537 - INFO - main.py - train - 88 - train epoch0 step:152/2688 loss0.257159 2022-11-10 23:08:27,872 - INFO - main.py - train - 88 - train epoch0 step:153/2688 loss0.063097 2022-11-10 23:08:28,200 - INFO - main.py - train - 88 - train epoch0 step:154/2688 loss1.249035 2022-11-10 23:08:28,534 - INFO - main.py - train - 88 - train epoch0 step:155/2688 loss0.038674 2022-11-10 23:08:28,863 - INFO - main.py - train - 88 - train epoch0 step:156/2688 loss0.085432 2022-11-10 23:08:29,197 - INFO - main.py - train - 88 - train epoch0 step:157/2688 loss0.091594 2022-11-10 23:08:29,535 - INFO - main.py - train - 88 - train epoch0 step:158/2688 loss0.098570 2022-11-10 23:08:29,864 - INFO - main.py - train - 88 - train epoch0 step:159/2688 loss0.988921 2022-11-10 23:08:30,198 - INFO - main.py - train - 88 - train epoch0 step:160/2688 loss1.095011 2022-11-10 23:08:30,523 - INFO - main.py - train - 88 - train epoch0 step:161/2688 loss0.076085 2022-11-10 23:08:30,847 - INFO - main.py - train - 88 - train epoch0 step:162/2688 loss0.089826 2022-11-10 23:08:31,185 - INFO - main.py - train - 88 - train epoch0 step:163/2688 loss0.214435 2022-11-10 23:08:31,524 - INFO - main.py - train - 88 - train epoch0 step:164/2688 loss0.528373 2022-11-10 23:08:31,851 - INFO - main.py - train - 88 - train epoch0 step:165/2688 loss0.280828 2022-11-10 23:08:32,186 - INFO - main.py - train - 88 - train epoch0 step:166/2688 loss0.087634 2022-11-10 23:08:32,514 - INFO - main.py - train - 88 - train epoch0 step:167/2688 loss0.135352 2022-11-10 23:08:32,843 - INFO - main.py - train - 88 - train epoch0 step:168/2688 loss0.631675 2022-11-10 23:08:33,175 - INFO - main.py - train - 88 - train epoch0 step:169/2688 loss0.227698 2022-11-10 23:08:33,503 - INFO - main.py - train - 88 - train epoch0 step:170/2688 loss0.393284 2022-11-10 23:08:33,833 - INFO - main.py - train - 88 - train epoch0 step:171/2688 loss0.121538 2022-11-10 23:08:34,167 - INFO - main.py - train - 88 - train epoch0 step:172/2688 loss0.072137 2022-11-10 23:08:34,503 - INFO - main.py - train - 88 - train epoch0 step:173/2688 loss0.036847 2022-11-10 23:08:34,833 - INFO - main.py - train - 88 - train epoch0 step:174/2688 loss0.032087 2022-11-10 23:08:35,173 - INFO - main.py - train - 88 - train epoch0 step:175/2688 loss0.015717 2022-11-10 23:08:35,502 - INFO - main.py - train - 88 - train epoch0 step:176/2688 loss0.482004 2022-11-10 23:08:35,845 - INFO - main.py - train - 88 - train epoch0 step:177/2688 loss1.158147 2022-11-10 23:08:36,183 - INFO - main.py - train - 88 - train epoch0 step:178/2688 loss0.020228 2022-11-10 23:08:36,506 - INFO - main.py - train - 88 - train epoch0 step:179/2688 loss0.033312 2022-11-10 23:08:36,842 - INFO - main.py - train - 88 - train epoch0 step:180/2688 loss0.020832 2022-11-10 23:08:37,175 - INFO - main.py - train - 88 - train epoch0 step:181/2688 loss0.091294 2022-11-10 23:08:37,508 - INFO - main.py - train - 88 - train epoch0 step:182/2688 loss0.591359 2022-11-10 23:08:37,842 - INFO - main.py - train - 88 - train epoch0 step:183/2688 loss0.023986 2022-11-10 23:08:38,176 - INFO - main.py - train - 88 - train epoch0 step:184/2688 loss0.085160 2022-11-10 23:08:38,509 - INFO - main.py - train - 88 - train epoch0 step:185/2688 loss0.129040 2022-11-10 23:08:38,840 - INFO - main.py - train - 88 - train epoch0 step:186/2688 loss0.298356 2022-11-10 23:08:39,170 - INFO - main.py - train - 88 - train epoch0 step:187/2688 loss0.046033 2022-11-10 23:08:39,497 - INFO - main.py - train - 88 - train epoch0 step:188/2688 loss0.016503 2022-11-10 23:08:39,828 - INFO - main.py - train - 88 - train epoch0 step:189/2688 loss0.047064 2022-11-10 23:08:40,162 - INFO - main.py - train - 88 - train epoch0 step:190/2688 loss0.024465 2022-11-10 23:08:40,492 - INFO - main.py - train - 88 - train epoch0 step:191/2688 loss0.041162 2022-11-10 23:08:40,833 - INFO - main.py - train - 88 - train epoch0 step:192/2688 loss0.036800 2022-11-10 23:08:41,169 - INFO - main.py - train - 88 - train epoch0 step:193/2688 loss0.035416 2022-11-10 23:08:41,495 - INFO - main.py - train - 88 - train epoch0 step:194/2688 loss0.028579 2022-11-10 23:08:41,834 - INFO - main.py - train - 88 - train epoch0 step:195/2688 loss0.012169 2022-11-10 23:08:42,173 - INFO - main.py - train - 88 - train epoch0 step:196/2688 loss0.015942 2022-11-10 23:08:42,515 - INFO - main.py - train - 88 - train epoch0 step:197/2688 loss0.037254 2022-11-10 23:08:42,850 - INFO - main.py - train - 88 - train epoch0 step:198/2688 loss0.010609 2022-11-10 23:08:43,183 - INFO - main.py - train - 88 - train epoch0 step:199/2688 loss0.011020 2022-11-10 23:08:43,522 - INFO - main.py - train - 88 - train epoch0 step:200/2688 loss0.002532 2022-11-10 23:08:43,851 - INFO - main.py - train - 88 - train epoch0 step:201/2688 loss0.027680 2022-11-10 23:08:44,180 - INFO - main.py - train - 88 - train epoch0 step:202/2688 loss0.004560 2022-11-10 23:08:44,518 - INFO - main.py - train - 88 - train epoch0 step:203/2688 loss0.796982 2022-11-10 23:08:44,850 - INFO - main.py - train - 88 - train epoch0 step:204/2688 loss0.008622 2022-11-10 23:08:45,184 - INFO - main.py - train - 88 - train epoch0 step:205/2688 loss0.003542 2022-11-10 23:08:45,516 - INFO - main.py - train - 88 - train epoch0 step:206/2688 loss0.010381 2022-11-10 23:08:45,852 - INFO - main.py - train - 88 - train epoch0 step:207/2688 loss0.031889 2022-11-10 23:08:46,185 - INFO - main.py - train - 88 - train epoch0 step:208/2688 loss0.208544 2022-11-10 23:08:46,515 - INFO - main.py - train - 88 - train epoch0 step:209/2688 loss0.015490 2022-11-10 23:08:46,847 - INFO - main.py - train - 88 - train epoch0 step:210/2688 loss0.011979 2022-11-10 23:08:47,174 - INFO - main.py - train - 88 - train epoch0 step:211/2688 loss0.015585 2022-11-10 23:08:47,509 - INFO - main.py - train - 88 - train epoch0 step:212/2688 loss0.016168 2022-11-10 23:08:47,841 - INFO - main.py - train - 88 - train epoch0 step:213/2688 loss0.009844 2022-11-10 23:08:48,172 - INFO - main.py - train - 88 - train epoch0 step:214/2688 loss0.036334 2022-11-10 23:08:48,498 - INFO - main.py - train - 88 - train epoch0 step:215/2688 loss0.087360 2022-11-10 23:08:48,828 - INFO - main.py - train - 88 - train epoch0 step:216/2688 loss0.048759 2022-11-10 23:08:49,182 - INFO - main.py - train - 88 - train epoch0 step:217/2688 loss0.019913 2022-11-10 23:08:49,506 - INFO - main.py - train - 88 - train epoch0 step:218/2688 loss0.004822 2022-11-10 23:08:49,834 - INFO - main.py - train - 88 - train epoch0 step:219/2688 loss0.074628 2022-11-10 23:08:50,161 - INFO - main.py - train - 88 - train epoch0 step:220/2688 loss0.059844 2022-11-10 23:08:50,492 - INFO - main.py - train - 88 - train epoch0 step:221/2688 loss0.027297 2022-11-10 23:08:50,827 - INFO - main.py - train - 88 - train epoch0 step:222/2688 loss0.004288 2022-11-10 23:08:51,161 - INFO - main.py - train - 88 - train epoch0 step:223/2688 loss0.025521 2022-11-10 23:08:51,495 - INFO - main.py - train - 88 - train epoch0 step:224/2688 loss0.003239 2022-11-10 23:08:51,821 - INFO - main.py - train - 88 - train epoch0 step:225/2688 loss0.003322 2022-11-10 23:08:52,154 - INFO - main.py - train - 88 - train epoch0 step:226/2688 loss0.006306 2022-11-10 23:08:52,492 - INFO - main.py - train - 88 - train epoch0 step:227/2688 loss0.018402 2022-11-10 23:08:52,833 - INFO - main.py - train - 88 - train epoch0 step:228/2688 loss0.003291 2022-11-10 23:08:53,160 - INFO - main.py - train - 88 - train epoch0 step:229/2688 loss0.549904 2022-11-10 23:08:53,494 - INFO - main.py - train - 88 - train epoch0 step:230/2688 loss0.006846 2022-11-10 23:08:53,826 - INFO - main.py - train - 88 - train epoch0 step:231/2688 loss0.004560 2022-11-10 23:08:54,155 - INFO - main.py - train - 88 - train epoch0 step:232/2688 loss0.013681 2022-11-10 23:08:54,497 - INFO - main.py - train - 88 - train epoch0 step:233/2688 loss0.012699 2022-11-10 23:08:54,833 - INFO - main.py - train - 88 - train epoch0 step:234/2688 loss0.007482 2022-11-10 23:08:55,163 - INFO - main.py - train - 88 - train epoch0 step:235/2688 loss0.015700 2022-11-10 23:08:55,376 - INFO - main.py - train - 88 - train epoch0 step:236/2688 loss0.008847 2022-11-10 23:08:55,711 - INFO - main.py - train - 88 - train epoch0 step:237/2688 loss0.382613 2022-11-10 23:08:56,044 - INFO - main.py - train - 88 - train epoch0 step:238/2688 loss1.883562 2022-11-10 23:08:56,383 - INFO - main.py - train - 88 - train epoch0 step:239/2688 loss0.001580 2022-11-10 23:08:56,722 - INFO - main.py - train - 88 - train epoch0 step:240/2688 loss0.003220 2022-11-10 23:08:57,050 - INFO - main.py - train - 88 - train epoch0 step:241/2688 loss0.013407 2022-11-10 23:08:57,379 - INFO - main.py - train - 88 - train epoch0 step:242/2688 loss2.334862 2022-11-10 23:08:57,713 - INFO - main.py - train - 88 - train epoch0 step:243/2688 loss0.212771 2022-11-10 23:08:58,041 - INFO - main.py - train - 88 - train epoch0 step:244/2688 loss0.029304 2022-11-10 23:08:58,368 - INFO - main.py - train - 88 - train epoch0 step:245/2688 loss0.005368 2022-11-10 23:08:58,701 - INFO - main.py - train - 88 - train epoch0 step:246/2688 loss0.267961 2022-11-10 23:08:58,914 - INFO - main.py - train - 88 - train epoch0 step:247/2688 loss0.006857 2022-11-10 23:08:59,241 - INFO - main.py - train - 88 - train epoch0 step:248/2688 loss0.015825 2022-11-10 23:08:59,578 - INFO - main.py - train - 88 - train epoch0 step:249/2688 loss0.008790 2022-11-10 23:08:59,905 - INFO - main.py - train - 88 - train epoch0 step:250/2688 loss3.199830 2022-11-10 23:09:00,234 - INFO - main.py - train - 88 - train epoch0 step:251/2688 loss0.015067 2022-11-10 23:09:00,567 - INFO - main.py - train - 88 - train epoch0 step:252/2688 loss0.049639 2022-11-10 23:09:00,912 - INFO - main.py - train - 88 - train epoch0 step:253/2688 loss0.033379 2022-11-10 23:09:01,254 - INFO - main.py - train - 88 - train epoch0 step:254/2688 loss0.039297 2022-11-10 23:09:01,594 - INFO - main.py - train - 88 - train epoch0 step:255/2688 loss0.032410 2022-11-10 23:09:01,925 - INFO - main.py - train - 88 - train epoch0 step:256/2688 loss0.079567 2022-11-10 23:09:02,264 - INFO - main.py - train - 88 - train epoch0 step:257/2688 loss0.100658 2022-11-10 23:09:02,603 - INFO - main.py - train - 88 - train epoch0 step:258/2688 loss0.821999 2022-11-10 23:09:02,930 - INFO - main.py - train - 88 - train epoch0 step:259/2688 loss0.074997 2022-11-10 23:09:03,260 - INFO - main.py - train - 88 - train epoch0 step:260/2688 loss0.016723 2022-11-10 23:09:03,600 - INFO - main.py - train - 88 - train epoch0 step:261/2688 loss0.068749 2022-11-10 23:09:03,810 - INFO - main.py - train - 88 - train epoch0 step:262/2688 loss0.012841 2022-11-10 23:09:04,144 - INFO - main.py - train - 88 - train epoch0 step:263/2688 loss0.045659 2022-11-10 23:09:04,476 - INFO - main.py - train - 88 - train epoch0 step:264/2688 loss0.048292 2022-11-10 23:09:04,814 - INFO - main.py - train - 88 - train epoch0 step:265/2688 loss0.327623 2022-11-10 23:09:05,143 - INFO - main.py - train - 88 - train epoch0 step:266/2688 loss0.462866 2022-11-10 23:09:05,479 - INFO - main.py - train - 88 - train epoch0 step:267/2688 loss0.031255 2022-11-10 23:09:05,809 - INFO - main.py - train - 88 - train epoch0 step:268/2688 loss0.043363 2022-11-10 23:09:06,135 - INFO - main.py - train - 88 - train epoch0 step:269/2688 loss0.439195 2022-11-10 23:09:06,475 - INFO - main.py - train - 88 - train epoch0 step:270/2688 loss0.145571 2022-11-10 23:09:06,802 - INFO - main.py - train - 88 - train epoch0 step:271/2688 loss0.040463 2022-11-10 23:09:07,128 - INFO - main.py - train - 88 - train epoch0 step:272/2688 loss0.983633 2022-11-10 23:09:07,472 - INFO - main.py - train - 88 - train epoch0 step:273/2688 loss0.024104 2022-11-10 23:09:07,803 - INFO - main.py - train - 88 - train epoch0 step:274/2688 loss0.194675 2022-11-10 23:09:08,136 - INFO - main.py - train - 88 - train epoch0 step:275/2688 loss0.021055 2022-11-10 23:09:08,457 - INFO - main.py - train - 88 - train epoch0 step:276/2688 loss0.036767 2022-11-10 23:09:08,795 - INFO - main.py - train - 88 - train epoch0 step:277/2688 loss0.047978 2022-11-10 23:09:09,134 - INFO - main.py - train - 88 - train epoch0 step:278/2688 loss0.012217 2022-11-10 23:09:09,469 - INFO - main.py - train - 88 - train epoch0 step:279/2688 loss1.451632 2022-11-10 23:09:09,805 - INFO - main.py - train - 88 - train epoch0 step:280/2688 loss0.011821 2022-11-10 23:09:10,017 - INFO - main.py - train - 88 - train epoch0 step:281/2688 loss0.014727 2022-11-10 23:17:31,351 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 23:17:31,673 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 23:17:31,996 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 23:17:32,322 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 23:17:32,646 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 23:17:32,979 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 23:17:33,306 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 23:17:33,631 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 23:17:33,958 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 23:17:34,288 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 23:17:34,623 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 23:17:34,948 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 23:17:35,269 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 23:17:35,598 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 23:17:35,814 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 23:17:36,140 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 23:17:36,342 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 23:17:36,671 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 23:17:37,006 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 23:17:37,334 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 23:17:37,658 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 23:17:37,985 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 23:17:38,307 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 23:17:38,630 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 23:17:38,967 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 23:17:39,292 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 23:17:39,624 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 23:17:39,947 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 23:17:40,269 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 23:17:40,596 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 23:17:40,930 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 23:17:41,257 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 23:17:41,588 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 23:17:41,914 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 23:17:42,240 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 23:17:42,564 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 23:17:42,893 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 23:17:43,213 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 23:17:43,419 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 23:17:43,755 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 23:17:44,078 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 23:17:44,405 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 23:17:44,738 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 23:17:45,074 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 23:17:45,405 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 23:17:45,730 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 23:17:46,056 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 23:17:46,384 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 23:17:46,724 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 23:17:47,047 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 23:17:47,254 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 23:17:47,578 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 23:17:47,907 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 23:17:48,241 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 23:17:48,559 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 23:17:48,896 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 23:17:49,218 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 23:17:49,548 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 23:17:49,875 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 23:17:50,206 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 23:17:50,537 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 23:17:50,877 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 23:17:51,210 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 23:17:51,537 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 23:17:51,864 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 23:17:52,193 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 23:17:52,406 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 23:17:52,738 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 23:17:53,067 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 23:17:53,280 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 23:17:53,607 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 23:17:53,935 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 23:17:54,152 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 23:17:54,360 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 23:17:54,698 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 23:17:55,026 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 23:17:55,358 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 23:17:55,693 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 23:17:56,020 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 23:17:56,354 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 23:17:56,680 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 23:17:57,009 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 23:17:57,336 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 23:17:57,662 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 23:17:57,993 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 23:17:58,329 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 23:17:58,668 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 23:17:58,997 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 23:17:59,329 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 23:17:59,540 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 23:17:59,910 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 23:18:00,247 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 23:18:00,573 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 23:18:00,908 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 23:18:01,241 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 23:18:01,568 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 23:18:01,907 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 23:18:02,240 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 23:18:02,575 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 23:18:02,911 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 23:18:03,129 - INFO - main.py - train - 88 - train epoch0 step:100/2688 loss0.049522 2022-11-10 23:18:03,456 - INFO - main.py - train - 88 - train epoch0 step:101/2688 loss0.027292 2022-11-10 23:18:03,789 - INFO - main.py - train - 88 - train epoch0 step:102/2688 loss0.037234 2022-11-10 23:18:04,130 - INFO - main.py - train - 88 - train epoch0 step:103/2688 loss0.036596 2022-11-10 23:18:04,461 - INFO - main.py - train - 88 - train epoch0 step:104/2688 loss1.457014 2022-11-10 23:18:04,794 - INFO - main.py - train - 88 - train epoch0 step:105/2688 loss0.044092 2022-11-10 23:18:05,135 - INFO - main.py - train - 88 - train epoch0 step:106/2688 loss0.067292 2022-11-10 23:18:05,456 - INFO - main.py - train - 88 - train epoch0 step:107/2688 loss1.623168 2022-11-10 23:18:05,791 - INFO - main.py - train - 88 - train epoch0 step:108/2688 loss0.115475 2022-11-10 23:18:06,128 - INFO - main.py - train - 88 - train epoch0 step:109/2688 loss0.247144 2022-11-10 23:18:06,457 - INFO - main.py - train - 88 - train epoch0 step:110/2688 loss0.135680 2022-11-10 23:18:06,798 - INFO - main.py - train - 88 - train epoch0 step:111/2688 loss0.117617 2022-11-10 23:18:07,127 - INFO - main.py - train - 88 - train epoch0 step:112/2688 loss0.190472 2022-11-10 23:18:07,466 - INFO - main.py - train - 88 - train epoch0 step:113/2688 loss0.156819 2022-11-10 23:18:07,674 - INFO - main.py - train - 88 - train epoch0 step:114/2688 loss0.067849 2022-11-10 23:18:08,000 - INFO - main.py - train - 88 - train epoch0 step:115/2688 loss0.125511 2022-11-10 23:18:08,337 - INFO - main.py - train - 88 - train epoch0 step:116/2688 loss0.179801 2022-11-10 23:18:08,661 - INFO - main.py - train - 88 - train epoch0 step:117/2688 loss0.169508 2022-11-10 23:18:08,996 - INFO - main.py - train - 88 - train epoch0 step:118/2688 loss0.064129 2022-11-10 23:18:09,324 - INFO - main.py - train - 88 - train epoch0 step:119/2688 loss0.055570 2022-11-10 23:18:09,665 - INFO - main.py - train - 88 - train epoch0 step:120/2688 loss0.027426 2022-11-10 23:18:10,002 - INFO - main.py - train - 88 - train epoch0 step:121/2688 loss0.031430 2022-11-10 23:18:10,208 - INFO - main.py - train - 88 - train epoch0 step:122/2688 loss0.006711 2022-11-10 23:18:10,536 - INFO - main.py - train - 88 - train epoch0 step:123/2688 loss0.025743 2022-11-10 23:18:10,862 - INFO - main.py - train - 88 - train epoch0 step:124/2688 loss0.011425 2022-11-10 23:18:11,194 - INFO - main.py - train - 88 - train epoch0 step:125/2688 loss0.011855 2022-11-10 23:18:11,532 - INFO - main.py - train - 88 - train epoch0 step:126/2688 loss0.009019 2022-11-10 23:18:11,858 - INFO - main.py - train - 88 - train epoch0 step:127/2688 loss0.011060 2022-11-10 23:18:12,208 - INFO - main.py - train - 88 - train epoch0 step:128/2688 loss0.005396 2022-11-10 23:18:12,546 - INFO - main.py - train - 88 - train epoch0 step:129/2688 loss0.013137 2022-11-10 23:18:12,883 - INFO - main.py - train - 88 - train epoch0 step:130/2688 loss0.005979 2022-11-10 23:18:13,217 - INFO - main.py - train - 88 - train epoch0 step:131/2688 loss0.007407 2022-11-10 23:18:13,547 - INFO - main.py - train - 88 - train epoch0 step:132/2688 loss0.005427 2022-11-10 23:18:13,885 - INFO - main.py - train - 88 - train epoch0 step:133/2688 loss0.007785 2022-11-10 23:18:14,105 - INFO - main.py - train - 88 - train epoch0 step:134/2688 loss0.003861 2022-11-10 23:18:14,436 - INFO - main.py - train - 88 - train epoch0 step:135/2688 loss0.004993 2022-11-10 23:18:14,773 - INFO - main.py - train - 88 - train epoch0 step:136/2688 loss0.002826 2022-11-10 23:18:15,109 - INFO - main.py - train - 88 - train epoch0 step:137/2688 loss1.407439 2022-11-10 23:18:15,439 - INFO - main.py - train - 88 - train epoch0 step:138/2688 loss1.766741 2022-11-10 23:18:15,774 - INFO - main.py - train - 88 - train epoch0 step:139/2688 loss0.006852 2022-11-10 23:18:16,111 - INFO - main.py - train - 88 - train epoch0 step:140/2688 loss1.894526 2022-11-10 23:18:16,432 - INFO - main.py - train - 88 - train epoch0 step:141/2688 loss0.014511 2022-11-10 23:18:16,759 - INFO - main.py - train - 88 - train epoch0 step:142/2688 loss2.159206 2022-11-10 23:18:17,094 - INFO - main.py - train - 88 - train epoch0 step:143/2688 loss0.025878 2022-11-10 23:18:17,431 - INFO - main.py - train - 88 - train epoch0 step:144/2688 loss0.253670 2022-11-10 23:18:17,751 - INFO - main.py - train - 88 - train epoch0 step:145/2688 loss0.061386 2022-11-10 23:18:18,090 - INFO - main.py - train - 88 - train epoch0 step:146/2688 loss0.067491 2022-11-10 23:18:18,428 - INFO - main.py - train - 88 - train epoch0 step:147/2688 loss0.093158 2022-11-10 23:18:18,760 - INFO - main.py - train - 88 - train epoch0 step:148/2688 loss0.093446 2022-11-10 23:18:19,104 - INFO - main.py - train - 88 - train epoch0 step:149/2688 loss0.053746 2022-11-10 23:18:19,438 - INFO - main.py - train - 88 - train epoch0 step:150/2688 loss0.112572 2022-11-10 23:18:19,643 - INFO - main.py - train - 88 - train epoch0 step:151/2688 loss0.091916 2022-11-10 23:18:19,973 - INFO - main.py - train - 88 - train epoch0 step:152/2688 loss0.257159 2022-11-10 23:18:20,310 - INFO - main.py - train - 88 - train epoch0 step:153/2688 loss0.063097 2022-11-10 23:18:20,636 - INFO - main.py - train - 88 - train epoch0 step:154/2688 loss1.249035 2022-11-10 23:18:20,963 - INFO - main.py - train - 88 - train epoch0 step:155/2688 loss0.038674 2022-11-10 23:18:21,301 - INFO - main.py - train - 88 - train epoch0 step:156/2688 loss0.085432 2022-11-10 23:18:21,631 - INFO - main.py - train - 88 - train epoch0 step:157/2688 loss0.091594 2022-11-10 23:18:21,963 - INFO - main.py - train - 88 - train epoch0 step:158/2688 loss0.098570 2022-11-10 23:18:22,306 - INFO - main.py - train - 88 - train epoch0 step:159/2688 loss0.988921 2022-11-10 23:18:22,643 - INFO - main.py - train - 88 - train epoch0 step:160/2688 loss1.095011 2022-11-10 23:18:22,975 - INFO - main.py - train - 88 - train epoch0 step:161/2688 loss0.076085 2022-11-10 23:18:23,312 - INFO - main.py - train - 88 - train epoch0 step:162/2688 loss0.089826 2022-11-10 23:18:23,647 - INFO - main.py - train - 88 - train epoch0 step:163/2688 loss0.214435 2022-11-10 23:18:23,990 - INFO - main.py - train - 88 - train epoch0 step:164/2688 loss0.528373 2022-11-10 23:18:24,326 - INFO - main.py - train - 88 - train epoch0 step:165/2688 loss0.280828 2022-11-10 23:18:24,658 - INFO - main.py - train - 88 - train epoch0 step:166/2688 loss0.087634 2022-11-10 23:18:24,999 - INFO - main.py - train - 88 - train epoch0 step:167/2688 loss0.135352 2022-11-10 23:18:25,349 - INFO - main.py - train - 88 - train epoch0 step:168/2688 loss0.631675 2022-11-10 23:18:25,686 - INFO - main.py - train - 88 - train epoch0 step:169/2688 loss0.227698 2022-11-10 23:18:26,014 - INFO - main.py - train - 88 - train epoch0 step:170/2688 loss0.393284 2022-11-10 23:18:26,353 - INFO - main.py - train - 88 - train epoch0 step:171/2688 loss0.121538 2022-11-10 23:18:26,683 - INFO - main.py - train - 88 - train epoch0 step:172/2688 loss0.072137 2022-11-10 23:18:27,022 - INFO - main.py - train - 88 - train epoch0 step:173/2688 loss0.036847 2022-11-10 23:18:27,355 - INFO - main.py - train - 88 - train epoch0 step:174/2688 loss0.032087 2022-11-10 23:18:27,697 - INFO - main.py - train - 88 - train epoch0 step:175/2688 loss0.015717 2022-11-10 23:18:28,032 - INFO - main.py - train - 88 - train epoch0 step:176/2688 loss0.482004 2022-11-10 23:18:28,373 - INFO - main.py - train - 88 - train epoch0 step:177/2688 loss1.158147 2022-11-10 23:18:28,707 - INFO - main.py - train - 88 - train epoch0 step:178/2688 loss0.020228 2022-11-10 23:18:29,045 - INFO - main.py - train - 88 - train epoch0 step:179/2688 loss0.033312 2022-11-10 23:18:29,383 - INFO - main.py - train - 88 - train epoch0 step:180/2688 loss0.020832 2022-11-10 23:18:29,719 - INFO - main.py - train - 88 - train epoch0 step:181/2688 loss0.091294 2022-11-10 23:18:30,053 - INFO - main.py - train - 88 - train epoch0 step:182/2688 loss0.591359 2022-11-10 23:18:30,394 - INFO - main.py - train - 88 - train epoch0 step:183/2688 loss0.023986 2022-11-10 23:18:30,736 - INFO - main.py - train - 88 - train epoch0 step:184/2688 loss0.085160 2022-11-10 23:18:31,067 - INFO - main.py - train - 88 - train epoch0 step:185/2688 loss0.129040 2022-11-10 23:18:31,408 - INFO - main.py - train - 88 - train epoch0 step:186/2688 loss0.298356 2022-11-10 23:18:31,744 - INFO - main.py - train - 88 - train epoch0 step:187/2688 loss0.046033 2022-11-10 23:18:32,071 - INFO - main.py - train - 88 - train epoch0 step:188/2688 loss0.016503 2022-11-10 23:18:32,407 - INFO - main.py - train - 88 - train epoch0 step:189/2688 loss0.047064 2022-11-10 23:18:32,747 - INFO - main.py - train - 88 - train epoch0 step:190/2688 loss0.024465 2022-11-10 23:18:33,090 - INFO - main.py - train - 88 - train epoch0 step:191/2688 loss0.041162 2022-11-10 23:18:33,432 - INFO - main.py - train - 88 - train epoch0 step:192/2688 loss0.036800 2022-11-10 23:18:33,773 - INFO - main.py - train - 88 - train epoch0 step:193/2688 loss0.035416 2022-11-10 23:18:34,102 - INFO - main.py - train - 88 - train epoch0 step:194/2688 loss0.028579 2022-11-10 23:18:34,452 - INFO - main.py - train - 88 - train epoch0 step:195/2688 loss0.012169 2022-11-10 23:18:34,794 - INFO - main.py - train - 88 - train epoch0 step:196/2688 loss0.015942 2022-11-10 23:18:35,127 - INFO - main.py - train - 88 - train epoch0 step:197/2688 loss0.037254 2022-11-10 23:18:35,467 - INFO - main.py - train - 88 - train epoch0 step:198/2688 loss0.010609 2022-11-10 23:18:35,805 - INFO - main.py - train - 88 - train epoch0 step:199/2688 loss0.011020 2022-11-10 23:18:36,132 - INFO - main.py - train - 88 - train epoch0 step:200/2688 loss0.002532 2022-11-10 23:18:36,467 - INFO - main.py - train - 88 - train epoch0 step:201/2688 loss0.027680 2022-11-10 23:18:36,804 - INFO - main.py - train - 88 - train epoch0 step:202/2688 loss0.004560 2022-11-10 23:18:37,144 - INFO - main.py - train - 88 - train epoch0 step:203/2688 loss0.796982 2022-11-10 23:18:37,476 - INFO - main.py - train - 88 - train epoch0 step:204/2688 loss0.008622 2022-11-10 23:18:37,814 - INFO - main.py - train - 88 - train epoch0 step:205/2688 loss0.003542 2022-11-10 23:18:38,147 - INFO - main.py - train - 88 - train epoch0 step:206/2688 loss0.010381 2022-11-10 23:18:38,488 - INFO - main.py - train - 88 - train epoch0 step:207/2688 loss0.031889 2022-11-10 23:18:38,827 - INFO - main.py - train - 88 - train epoch0 step:208/2688 loss0.208544 2022-11-10 23:18:39,149 - INFO - main.py - train - 88 - train epoch0 step:209/2688 loss0.015490 2022-11-10 23:18:39,475 - INFO - main.py - train - 88 - train epoch0 step:210/2688 loss0.011979 2022-11-10 23:18:39,802 - INFO - main.py - train - 88 - train epoch0 step:211/2688 loss0.015585 2022-11-10 23:18:40,145 - INFO - main.py - train - 88 - train epoch0 step:212/2688 loss0.016168 2022-11-10 23:18:40,477 - INFO - main.py - train - 88 - train epoch0 step:213/2688 loss0.009844 2022-11-10 23:18:40,818 - INFO - main.py - train - 88 - train epoch0 step:214/2688 loss0.036334 2022-11-10 23:18:41,157 - INFO - main.py - train - 88 - train epoch0 step:215/2688 loss0.087360 2022-11-10 23:18:41,488 - INFO - main.py - train - 88 - train epoch0 step:216/2688 loss0.048759 2022-11-10 23:18:41,840 - INFO - main.py - train - 88 - train epoch0 step:217/2688 loss0.019913 2022-11-10 23:18:42,175 - INFO - main.py - train - 88 - train epoch0 step:218/2688 loss0.004822 2022-11-10 23:18:42,515 - INFO - main.py - train - 88 - train epoch0 step:219/2688 loss0.074628 2022-11-10 23:18:42,850 - INFO - main.py - train - 88 - train epoch0 step:220/2688 loss0.059844 2022-11-10 23:18:43,185 - INFO - main.py - train - 88 - train epoch0 step:221/2688 loss0.027297 2022-11-10 23:18:43,524 - INFO - main.py - train - 88 - train epoch0 step:222/2688 loss0.004288 2022-11-10 23:18:43,859 - INFO - main.py - train - 88 - train epoch0 step:223/2688 loss0.025521 2022-11-10 23:18:44,205 - INFO - main.py - train - 88 - train epoch0 step:224/2688 loss0.003239 2022-11-10 23:18:44,535 - INFO - main.py - train - 88 - train epoch0 step:225/2688 loss0.003322 2022-11-10 23:18:44,871 - INFO - main.py - train - 88 - train epoch0 step:226/2688 loss0.006306 2022-11-10 23:18:45,212 - INFO - main.py - train - 88 - train epoch0 step:227/2688 loss0.018402 2022-11-10 23:18:45,550 - INFO - main.py - train - 88 - train epoch0 step:228/2688 loss0.003291 2022-11-10 23:18:45,882 - INFO - main.py - train - 88 - train epoch0 step:229/2688 loss0.549904 2022-11-10 23:18:46,210 - INFO - main.py - train - 88 - train epoch0 step:230/2688 loss0.006846 2022-11-10 23:18:46,554 - INFO - main.py - train - 88 - train epoch0 step:231/2688 loss0.004560 2022-11-10 23:18:46,895 - INFO - main.py - train - 88 - train epoch0 step:232/2688 loss0.013681 2022-11-10 23:18:47,233 - INFO - main.py - train - 88 - train epoch0 step:233/2688 loss0.012699 2022-11-10 23:18:47,571 - INFO - main.py - train - 88 - train epoch0 step:234/2688 loss0.007482 2022-11-10 23:18:47,914 - INFO - main.py - train - 88 - train epoch0 step:235/2688 loss0.015700 2022-11-10 23:18:48,136 - INFO - main.py - train - 88 - train epoch0 step:236/2688 loss0.008847 2022-11-10 23:18:48,475 - INFO - main.py - train - 88 - train epoch0 step:237/2688 loss0.382613 2022-11-10 23:18:48,814 - INFO - main.py - train - 88 - train epoch0 step:238/2688 loss1.883562 2022-11-10 23:18:49,143 - INFO - main.py - train - 88 - train epoch0 step:239/2688 loss0.001580 2022-11-10 23:18:49,480 - INFO - main.py - train - 88 - train epoch0 step:240/2688 loss0.003220 2022-11-10 23:18:49,811 - INFO - main.py - train - 88 - train epoch0 step:241/2688 loss0.013407 2022-11-10 23:18:50,140 - INFO - main.py - train - 88 - train epoch0 step:242/2688 loss2.334862 2022-11-10 23:18:50,469 - INFO - main.py - train - 88 - train epoch0 step:243/2688 loss0.212771 2022-11-10 23:18:50,807 - INFO - main.py - train - 88 - train epoch0 step:244/2688 loss0.029304 2022-11-10 23:18:51,135 - INFO - main.py - train - 88 - train epoch0 step:245/2688 loss0.005368 2022-11-10 23:18:51,471 - INFO - main.py - train - 88 - train epoch0 step:246/2688 loss0.267961 2022-11-10 23:18:51,682 - INFO - main.py - train - 88 - train epoch0 step:247/2688 loss0.006857 2022-11-10 23:18:52,017 - INFO - main.py - train - 88 - train epoch0 step:248/2688 loss0.015825 2022-11-10 23:18:52,352 - INFO - main.py - train - 88 - train epoch0 step:249/2688 loss0.008790 2022-11-10 23:18:52,687 - INFO - main.py - train - 88 - train epoch0 step:250/2688 loss3.199830 2022-11-10 23:18:53,026 - INFO - main.py - train - 88 - train epoch0 step:251/2688 loss0.015067 2022-11-10 23:18:53,367 - INFO - main.py - train - 88 - train epoch0 step:252/2688 loss0.049639 2022-11-10 23:18:53,717 - INFO - main.py - train - 88 - train epoch0 step:253/2688 loss0.033379 2022-11-10 23:18:54,061 - INFO - main.py - train - 88 - train epoch0 step:254/2688 loss0.039297 2022-11-10 23:18:54,404 - INFO - main.py - train - 88 - train epoch0 step:255/2688 loss0.032410 2022-11-10 23:18:54,747 - INFO - main.py - train - 88 - train epoch0 step:256/2688 loss0.079567 2022-11-10 23:18:55,083 - INFO - main.py - train - 88 - train epoch0 step:257/2688 loss0.100658 2022-11-10 23:18:55,416 - INFO - main.py - train - 88 - train epoch0 step:258/2688 loss0.821999 2022-11-10 23:18:55,760 - INFO - main.py - train - 88 - train epoch0 step:259/2688 loss0.074997 2022-11-10 23:18:56,105 - INFO - main.py - train - 88 - train epoch0 step:260/2688 loss0.016723 2022-11-10 23:18:56,444 - INFO - main.py - train - 88 - train epoch0 step:261/2688 loss0.068749 2022-11-10 23:18:56,657 - INFO - main.py - train - 88 - train epoch0 step:262/2688 loss0.012841 2022-11-10 23:18:56,997 - INFO - main.py - train - 88 - train epoch0 step:263/2688 loss0.045659 2022-11-10 23:18:57,334 - INFO - main.py - train - 88 - train epoch0 step:264/2688 loss0.048292 2022-11-10 23:18:57,673 - INFO - main.py - train - 88 - train epoch0 step:265/2688 loss0.327623 2022-11-10 23:18:58,004 - INFO - main.py - train - 88 - train epoch0 step:266/2688 loss0.462866 2022-11-10 23:18:58,336 - INFO - main.py - train - 88 - train epoch0 step:267/2688 loss0.031255 2022-11-10 23:18:58,679 - INFO - main.py - train - 88 - train epoch0 step:268/2688 loss0.043363 2022-11-10 23:18:59,018 - INFO - main.py - train - 88 - train epoch0 step:269/2688 loss0.439195 2022-11-10 23:18:59,352 - INFO - main.py - train - 88 - train epoch0 step:270/2688 loss0.145571 2022-11-10 23:18:59,692 - INFO - main.py - train - 88 - train epoch0 step:271/2688 loss0.040463 2022-11-10 23:19:00,024 - INFO - main.py - train - 88 - train epoch0 step:272/2688 loss0.983633 2022-11-10 23:19:00,362 - INFO - main.py - train - 88 - train epoch0 step:273/2688 loss0.024104 2022-11-10 23:19:00,701 - INFO - main.py - train - 88 - train epoch0 step:274/2688 loss0.194675 2022-11-10 23:19:01,038 - INFO - main.py - train - 88 - train epoch0 step:275/2688 loss0.021055 2022-11-10 23:19:01,373 - INFO - main.py - train - 88 - train epoch0 step:276/2688 loss0.036767 2022-11-10 23:19:01,724 - INFO - main.py - train - 88 - train epoch0 step:277/2688 loss0.047978 2022-11-10 23:19:02,069 - INFO - main.py - train - 88 - train epoch0 step:278/2688 loss0.012217 2022-11-10 23:19:57,091 - INFO - main.py - train - 88 - train epoch0 step:279/2688 loss1.451632 2022-11-10 23:24:15,206 - INFO - main.py - train - 88 - train epoch0 step:280/2688 loss0.011821 2022-11-10 23:24:26,117 - INFO - main.py - train - 88 - train epoch0 step:281/2688 loss0.014727 2022-11-10 23:27:41,338 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 23:27:41,653 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 23:27:41,967 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 23:27:42,291 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 23:27:42,613 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 23:27:42,937 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 23:27:43,263 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 23:27:43,586 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 23:27:43,908 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 23:27:44,225 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 23:27:44,551 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 23:27:44,877 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 23:27:45,194 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 23:27:45,519 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 23:27:45,731 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 23:27:46,052 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 23:27:46,257 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 23:27:46,581 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 23:27:46,909 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 23:27:47,229 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 23:27:47,549 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 23:27:47,882 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 23:27:48,195 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 23:27:48,524 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 23:27:48,855 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 23:27:49,168 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 23:27:49,487 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 23:27:49,809 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 23:27:50,130 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 23:27:50,448 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 23:27:50,772 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 23:27:51,094 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 23:27:51,413 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 23:27:51,735 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 23:27:52,056 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 23:27:52,383 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 23:27:52,704 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 23:27:53,028 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 23:27:53,238 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 23:27:53,560 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 23:27:53,882 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 23:27:54,203 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 23:27:54,530 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 23:27:54,857 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 23:27:55,182 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 23:27:55,499 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 23:27:55,841 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 23:27:56,176 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 23:27:56,498 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 23:27:56,818 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 23:27:57,022 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 23:27:57,343 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 23:27:57,665 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 23:27:57,993 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 23:27:58,312 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 23:27:58,634 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 23:27:58,963 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 23:27:59,283 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 23:27:59,602 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 23:27:59,938 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 23:28:00,260 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 23:28:00,581 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 23:28:00,909 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 23:28:01,227 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 23:28:01,547 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 23:28:01,880 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 23:28:02,092 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 23:28:02,419 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 23:28:02,746 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 23:28:02,964 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 23:28:03,286 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 23:28:03,607 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 23:28:03,817 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 23:28:04,033 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 23:28:04,356 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 23:28:04,675 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 23:28:05,002 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 23:28:05,320 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 23:28:05,646 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 23:28:05,977 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 23:28:06,298 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 23:28:06,619 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 23:28:06,945 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 23:28:07,268 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 23:28:07,594 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 23:28:07,923 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 23:28:08,247 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 23:28:08,568 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 23:28:08,894 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 23:28:09,100 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 23:28:09,417 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 23:28:09,751 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 23:28:10,074 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 23:28:10,399 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 23:28:10,720 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 23:28:11,045 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 23:28:11,372 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 23:28:11,695 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 23:28:12,018 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 23:28:12,341 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 23:28:12,547 - INFO - main.py - train - 88 - train epoch0 step:100/2688 loss0.049522 2022-11-10 23:28:12,870 - INFO - main.py - train - 88 - train epoch0 step:101/2688 loss0.027292 2022-11-10 23:28:13,196 - INFO - main.py - train - 88 - train epoch0 step:102/2688 loss0.037234 2022-11-10 23:28:13,523 - INFO - main.py - train - 88 - train epoch0 step:103/2688 loss0.036596 2022-11-10 23:28:13,846 - INFO - main.py - train - 88 - train epoch0 step:104/2688 loss1.457014 2022-11-10 23:28:14,172 - INFO - main.py - train - 88 - train epoch0 step:105/2688 loss0.044092 2022-11-10 23:28:14,497 - INFO - main.py - train - 88 - train epoch0 step:106/2688 loss0.067292 2022-11-10 23:28:14,820 - INFO - main.py - train - 88 - train epoch0 step:107/2688 loss1.623168 2022-11-10 23:28:15,147 - INFO - main.py - train - 88 - train epoch0 step:108/2688 loss0.115475 2022-11-10 23:28:15,468 - INFO - main.py - train - 88 - train epoch0 step:109/2688 loss0.247144 2022-11-10 23:28:15,793 - INFO - main.py - train - 88 - train epoch0 step:110/2688 loss0.135680 2022-11-10 23:28:16,120 - INFO - main.py - train - 88 - train epoch0 step:111/2688 loss0.117617 2022-11-10 23:28:16,433 - INFO - main.py - train - 88 - train epoch0 step:112/2688 loss0.190472 2022-11-10 23:28:16,771 - INFO - main.py - train - 88 - train epoch0 step:113/2688 loss0.156819 2022-11-10 23:28:16,974 - INFO - main.py - train - 88 - train epoch0 step:114/2688 loss0.067849 2022-11-10 23:28:17,300 - INFO - main.py - train - 88 - train epoch0 step:115/2688 loss0.125511 2022-11-10 23:28:17,626 - INFO - main.py - train - 88 - train epoch0 step:116/2688 loss0.179801 2022-11-10 23:28:17,954 - INFO - main.py - train - 88 - train epoch0 step:117/2688 loss0.169508 2022-11-10 23:28:18,288 - INFO - main.py - train - 88 - train epoch0 step:118/2688 loss0.064129 2022-11-10 23:28:18,607 - INFO - main.py - train - 88 - train epoch0 step:119/2688 loss0.055570 2022-11-10 23:28:18,935 - INFO - main.py - train - 88 - train epoch0 step:120/2688 loss0.027426 2022-11-10 23:28:19,262 - INFO - main.py - train - 88 - train epoch0 step:121/2688 loss0.031430 2022-11-10 23:28:19,462 - INFO - main.py - train - 88 - train epoch0 step:122/2688 loss0.006711 2022-11-10 23:28:19,783 - INFO - main.py - train - 88 - train epoch0 step:123/2688 loss0.025743 2022-11-10 23:28:20,109 - INFO - main.py - train - 88 - train epoch0 step:124/2688 loss0.011425 2022-11-10 23:28:20,431 - INFO - main.py - train - 88 - train epoch0 step:125/2688 loss0.011855 2022-11-10 23:28:20,759 - INFO - main.py - train - 88 - train epoch0 step:126/2688 loss0.009019 2022-11-10 23:28:21,082 - INFO - main.py - train - 88 - train epoch0 step:127/2688 loss0.011060 2022-11-10 23:28:21,414 - INFO - main.py - train - 88 - train epoch0 step:128/2688 loss0.005396 2022-11-10 23:28:21,735 - INFO - main.py - train - 88 - train epoch0 step:129/2688 loss0.013137 2022-11-10 23:28:22,058 - INFO - main.py - train - 88 - train epoch0 step:130/2688 loss0.005979 2022-11-10 23:28:22,387 - INFO - main.py - train - 88 - train epoch0 step:131/2688 loss0.007407 2022-11-10 23:28:22,708 - INFO - main.py - train - 88 - train epoch0 step:132/2688 loss0.005427 2022-11-10 23:28:23,026 - INFO - main.py - train - 88 - train epoch0 step:133/2688 loss0.007785 2022-11-10 23:28:23,237 - INFO - main.py - train - 88 - train epoch0 step:134/2688 loss0.003861 2022-11-10 23:28:23,557 - INFO - main.py - train - 88 - train epoch0 step:135/2688 loss0.004993 2022-11-10 23:28:23,886 - INFO - main.py - train - 88 - train epoch0 step:136/2688 loss0.002826 2022-11-10 23:28:24,217 - INFO - main.py - train - 88 - train epoch0 step:137/2688 loss1.407439 2022-11-10 23:28:24,544 - INFO - main.py - train - 88 - train epoch0 step:138/2688 loss1.766741 2022-11-10 23:28:24,881 - INFO - main.py - train - 88 - train epoch0 step:139/2688 loss0.006852 2022-11-10 23:28:25,204 - INFO - main.py - train - 88 - train epoch0 step:140/2688 loss1.894526 2022-11-10 23:28:25,523 - INFO - main.py - train - 88 - train epoch0 step:141/2688 loss0.014511 2022-11-10 23:28:25,845 - INFO - main.py - train - 88 - train epoch0 step:142/2688 loss2.159206 2022-11-10 23:28:26,180 - INFO - main.py - train - 88 - train epoch0 step:143/2688 loss0.025878 2022-11-10 23:28:26,501 - INFO - main.py - train - 88 - train epoch0 step:144/2688 loss0.253670 2022-11-10 23:28:26,824 - INFO - main.py - train - 88 - train epoch0 step:145/2688 loss0.061386 2022-11-10 23:28:27,151 - INFO - main.py - train - 88 - train epoch0 step:146/2688 loss0.067491 2022-11-10 23:28:27,478 - INFO - main.py - train - 88 - train epoch0 step:147/2688 loss0.093158 2022-11-10 23:28:27,802 - INFO - main.py - train - 88 - train epoch0 step:148/2688 loss0.093446 2022-11-10 23:28:28,135 - INFO - main.py - train - 88 - train epoch0 step:149/2688 loss0.053746 2022-11-10 23:28:28,470 - INFO - main.py - train - 88 - train epoch0 step:150/2688 loss0.112572 2022-11-10 23:28:28,676 - INFO - main.py - train - 88 - train epoch0 step:151/2688 loss0.091916 2022-11-10 23:28:29,005 - INFO - main.py - train - 88 - train epoch0 step:152/2688 loss0.257159 2022-11-10 23:28:29,335 - INFO - main.py - train - 88 - train epoch0 step:153/2688 loss0.063097 2022-11-10 23:28:29,661 - INFO - main.py - train - 88 - train epoch0 step:154/2688 loss1.249035 2022-11-10 23:28:29,990 - INFO - main.py - train - 88 - train epoch0 step:155/2688 loss0.038674 2022-11-10 23:28:30,314 - INFO - main.py - train - 88 - train epoch0 step:156/2688 loss0.085432 2022-11-10 23:28:30,640 - INFO - main.py - train - 88 - train epoch0 step:157/2688 loss0.091594 2022-11-10 23:28:30,967 - INFO - main.py - train - 88 - train epoch0 step:158/2688 loss0.098570 2022-11-10 23:28:31,300 - INFO - main.py - train - 88 - train epoch0 step:159/2688 loss0.988921 2022-11-10 23:28:31,628 - INFO - main.py - train - 88 - train epoch0 step:160/2688 loss1.095011 2022-11-10 23:28:31,951 - INFO - main.py - train - 88 - train epoch0 step:161/2688 loss0.076085 2022-11-10 23:28:32,274 - INFO - main.py - train - 88 - train epoch0 step:162/2688 loss0.089826 2022-11-10 23:28:32,598 - INFO - main.py - train - 88 - train epoch0 step:163/2688 loss0.214435 2022-11-10 23:28:32,929 - INFO - main.py - train - 88 - train epoch0 step:164/2688 loss0.528373 2022-11-10 23:28:33,254 - INFO - main.py - train - 88 - train epoch0 step:165/2688 loss0.280828 2022-11-10 23:28:33,578 - INFO - main.py - train - 88 - train epoch0 step:166/2688 loss0.087634 2022-11-10 23:28:33,904 - INFO - main.py - train - 88 - train epoch0 step:167/2688 loss0.135352 2022-11-10 23:28:34,232 - INFO - main.py - train - 88 - train epoch0 step:168/2688 loss0.631675 2022-11-10 23:28:34,563 - INFO - main.py - train - 88 - train epoch0 step:169/2688 loss0.227698 2022-11-10 23:28:34,896 - INFO - main.py - train - 88 - train epoch0 step:170/2688 loss0.393284 2022-11-10 23:28:35,217 - INFO - main.py - train - 88 - train epoch0 step:171/2688 loss0.121538 2022-11-10 23:28:35,548 - INFO - main.py - train - 88 - train epoch0 step:172/2688 loss0.072137 2022-11-10 23:28:35,883 - INFO - main.py - train - 88 - train epoch0 step:173/2688 loss0.036847 2022-11-10 23:28:36,210 - INFO - main.py - train - 88 - train epoch0 step:174/2688 loss0.032087 2022-11-10 23:28:36,540 - INFO - main.py - train - 88 - train epoch0 step:175/2688 loss0.015717 2022-11-10 23:28:36,867 - INFO - main.py - train - 88 - train epoch0 step:176/2688 loss0.482004 2022-11-10 23:28:37,206 - INFO - main.py - train - 88 - train epoch0 step:177/2688 loss1.158147 2022-11-10 23:28:37,533 - INFO - main.py - train - 88 - train epoch0 step:178/2688 loss0.020228 2022-11-10 23:28:37,863 - INFO - main.py - train - 88 - train epoch0 step:179/2688 loss0.033312 2022-11-10 23:28:38,200 - INFO - main.py - train - 88 - train epoch0 step:180/2688 loss0.020832 2022-11-10 23:28:38,521 - INFO - main.py - train - 88 - train epoch0 step:181/2688 loss0.091294 2022-11-10 23:28:38,846 - INFO - main.py - train - 88 - train epoch0 step:182/2688 loss0.591359 2022-11-10 23:28:39,171 - INFO - main.py - train - 88 - train epoch0 step:183/2688 loss0.023986 2022-11-10 23:28:39,496 - INFO - main.py - train - 88 - train epoch0 step:184/2688 loss0.085160 2022-11-10 23:28:39,822 - INFO - main.py - train - 88 - train epoch0 step:185/2688 loss0.129040 2022-11-10 23:28:40,142 - INFO - main.py - train - 88 - train epoch0 step:186/2688 loss0.298356 2022-11-10 23:28:40,472 - INFO - main.py - train - 88 - train epoch0 step:187/2688 loss0.046033 2022-11-10 23:28:40,796 - INFO - main.py - train - 88 - train epoch0 step:188/2688 loss0.016503 2022-11-10 23:28:41,121 - INFO - main.py - train - 88 - train epoch0 step:189/2688 loss0.047064 2022-11-10 23:28:41,444 - INFO - main.py - train - 88 - train epoch0 step:190/2688 loss0.024465 2022-11-10 23:28:41,769 - INFO - main.py - train - 88 - train epoch0 step:191/2688 loss0.041162 2022-11-10 23:28:42,102 - INFO - main.py - train - 88 - train epoch0 step:192/2688 loss0.036800 2022-11-10 23:28:42,442 - INFO - main.py - train - 88 - train epoch0 step:193/2688 loss0.035416 2022-11-10 23:28:42,770 - INFO - main.py - train - 88 - train epoch0 step:194/2688 loss0.028579 2022-11-10 23:28:43,112 - INFO - main.py - train - 88 - train epoch0 step:195/2688 loss0.012169 2022-11-10 23:28:43,451 - INFO - main.py - train - 88 - train epoch0 step:196/2688 loss0.015942 2022-11-10 23:28:43,780 - INFO - main.py - train - 88 - train epoch0 step:197/2688 loss0.037254 2022-11-10 23:28:44,113 - INFO - main.py - train - 88 - train epoch0 step:198/2688 loss0.010609 2022-11-10 23:28:44,438 - INFO - main.py - train - 88 - train epoch0 step:199/2688 loss0.011020 2022-11-10 23:28:44,767 - INFO - main.py - train - 88 - train epoch0 step:200/2688 loss0.002532 2022-11-10 23:28:45,089 - INFO - main.py - train - 88 - train epoch0 step:201/2688 loss0.027680 2022-11-10 23:28:45,414 - INFO - main.py - train - 88 - train epoch0 step:202/2688 loss0.004560 2022-11-10 23:28:45,745 - INFO - main.py - train - 88 - train epoch0 step:203/2688 loss0.796982 2022-11-10 23:28:46,081 - INFO - main.py - train - 88 - train epoch0 step:204/2688 loss0.008622 2022-11-10 23:28:46,402 - INFO - main.py - train - 88 - train epoch0 step:205/2688 loss0.003542 2022-11-10 23:28:46,729 - INFO - main.py - train - 88 - train epoch0 step:206/2688 loss0.010381 2022-11-10 23:28:47,065 - INFO - main.py - train - 88 - train epoch0 step:207/2688 loss0.031889 2022-11-10 23:28:47,400 - INFO - main.py - train - 88 - train epoch0 step:208/2688 loss0.208544 2022-11-10 23:28:47,725 - INFO - main.py - train - 88 - train epoch0 step:209/2688 loss0.015490 2022-11-10 23:28:48,044 - INFO - main.py - train - 88 - train epoch0 step:210/2688 loss0.011979 2022-11-10 23:28:48,379 - INFO - main.py - train - 88 - train epoch0 step:211/2688 loss0.015585 2022-11-10 23:28:48,718 - INFO - main.py - train - 88 - train epoch0 step:212/2688 loss0.016168 2022-11-10 23:28:49,041 - INFO - main.py - train - 88 - train epoch0 step:213/2688 loss0.009844 2022-11-10 23:28:49,370 - INFO - main.py - train - 88 - train epoch0 step:214/2688 loss0.036334 2022-11-10 23:28:49,696 - INFO - main.py - train - 88 - train epoch0 step:215/2688 loss0.087360 2022-11-10 23:28:50,021 - INFO - main.py - train - 88 - train epoch0 step:216/2688 loss0.048759 2022-11-10 23:28:50,352 - INFO - main.py - train - 88 - train epoch0 step:217/2688 loss0.019913 2022-11-10 23:28:50,688 - INFO - main.py - train - 88 - train epoch0 step:218/2688 loss0.004822 2022-11-10 23:28:51,013 - INFO - main.py - train - 88 - train epoch0 step:219/2688 loss0.074628 2022-11-10 23:28:51,343 - INFO - main.py - train - 88 - train epoch0 step:220/2688 loss0.059844 2022-11-10 23:28:51,673 - INFO - main.py - train - 88 - train epoch0 step:221/2688 loss0.027297 2022-11-10 23:28:52,009 - INFO - main.py - train - 88 - train epoch0 step:222/2688 loss0.004288 2022-11-10 23:28:52,338 - INFO - main.py - train - 88 - train epoch0 step:223/2688 loss0.025521 2022-11-10 23:28:52,679 - INFO - main.py - train - 88 - train epoch0 step:224/2688 loss0.003239 2022-11-10 23:28:53,003 - INFO - main.py - train - 88 - train epoch0 step:225/2688 loss0.003322 2022-11-10 23:28:53,332 - INFO - main.py - train - 88 - train epoch0 step:226/2688 loss0.006306 2022-11-10 23:28:53,669 - INFO - main.py - train - 88 - train epoch0 step:227/2688 loss0.018402 2022-11-10 23:28:53,997 - INFO - main.py - train - 88 - train epoch0 step:228/2688 loss0.003291 2022-11-10 23:28:54,325 - INFO - main.py - train - 88 - train epoch0 step:229/2688 loss0.549904 2022-11-10 23:28:54,657 - INFO - main.py - train - 88 - train epoch0 step:230/2688 loss0.006846 2022-11-10 23:28:54,987 - INFO - main.py - train - 88 - train epoch0 step:231/2688 loss0.004560 2022-11-10 23:28:55,315 - INFO - main.py - train - 88 - train epoch0 step:232/2688 loss0.013681 2022-11-10 23:28:55,652 - INFO - main.py - train - 88 - train epoch0 step:233/2688 loss0.012699 2022-11-10 23:28:55,983 - INFO - main.py - train - 88 - train epoch0 step:234/2688 loss0.007482 2022-11-10 23:28:56,312 - INFO - main.py - train - 88 - train epoch0 step:235/2688 loss0.015700 2022-11-10 23:28:56,528 - INFO - main.py - train - 88 - train epoch0 step:236/2688 loss0.008847 2022-11-10 23:28:56,859 - INFO - main.py - train - 88 - train epoch0 step:237/2688 loss0.382613 2022-11-10 23:28:57,198 - INFO - main.py - train - 88 - train epoch0 step:238/2688 loss1.883562 2022-11-10 23:28:57,522 - INFO - main.py - train - 88 - train epoch0 step:239/2688 loss0.001580 2022-11-10 23:28:57,855 - INFO - main.py - train - 88 - train epoch0 step:240/2688 loss0.003220 2022-11-10 23:28:58,179 - INFO - main.py - train - 88 - train epoch0 step:241/2688 loss0.013407 2022-11-10 23:28:58,509 - INFO - main.py - train - 88 - train epoch0 step:242/2688 loss2.334862 2022-11-10 23:28:58,841 - INFO - main.py - train - 88 - train epoch0 step:243/2688 loss0.212771 2022-11-10 23:28:59,163 - INFO - main.py - train - 88 - train epoch0 step:244/2688 loss0.029304 2022-11-10 23:28:59,480 - INFO - main.py - train - 88 - train epoch0 step:245/2688 loss0.005368 2022-11-10 23:28:59,820 - INFO - main.py - train - 88 - train epoch0 step:246/2688 loss0.267961 2022-11-10 23:29:00,035 - INFO - main.py - train - 88 - train epoch0 step:247/2688 loss0.006857 2022-11-10 23:29:00,358 - INFO - main.py - train - 88 - train epoch0 step:248/2688 loss0.015825 2022-11-10 23:29:00,690 - INFO - main.py - train - 88 - train epoch0 step:249/2688 loss0.008790 2022-11-10 23:29:01,025 - INFO - main.py - train - 88 - train epoch0 step:250/2688 loss3.199830 2022-11-10 23:29:01,359 - INFO - main.py - train - 88 - train epoch0 step:251/2688 loss0.015067 2022-11-10 23:29:01,695 - INFO - main.py - train - 88 - train epoch0 step:252/2688 loss0.049639 2022-11-10 23:29:02,034 - INFO - main.py - train - 88 - train epoch0 step:253/2688 loss0.033379 2022-11-10 23:29:02,369 - INFO - main.py - train - 88 - train epoch0 step:254/2688 loss0.039297 2022-11-10 23:29:02,705 - INFO - main.py - train - 88 - train epoch0 step:255/2688 loss0.032410 2022-11-10 23:29:03,039 - INFO - main.py - train - 88 - train epoch0 step:256/2688 loss0.079567 2022-11-10 23:29:03,372 - INFO - main.py - train - 88 - train epoch0 step:257/2688 loss0.100658 2022-11-10 23:29:03,711 - INFO - main.py - train - 88 - train epoch0 step:258/2688 loss0.821999 2022-11-10 23:29:04,049 - INFO - main.py - train - 88 - train epoch0 step:259/2688 loss0.074997 2022-11-10 23:29:04,382 - INFO - main.py - train - 88 - train epoch0 step:260/2688 loss0.016723 2022-11-10 23:29:04,722 - INFO - main.py - train - 88 - train epoch0 step:261/2688 loss0.068749 2022-11-10 23:29:04,937 - INFO - main.py - train - 88 - train epoch0 step:262/2688 loss0.012841 2022-11-10 23:29:05,261 - INFO - main.py - train - 88 - train epoch0 step:263/2688 loss0.045659 2022-11-10 23:29:05,593 - INFO - main.py - train - 88 - train epoch0 step:264/2688 loss0.048292 2022-11-10 23:29:05,927 - INFO - main.py - train - 88 - train epoch0 step:265/2688 loss0.327623 2022-11-10 23:29:06,257 - INFO - main.py - train - 88 - train epoch0 step:266/2688 loss0.462866 2022-11-10 23:29:06,586 - INFO - main.py - train - 88 - train epoch0 step:267/2688 loss0.031255 2022-11-10 23:29:06,918 - INFO - main.py - train - 88 - train epoch0 step:268/2688 loss0.043363 2022-11-10 23:29:07,247 - INFO - main.py - train - 88 - train epoch0 step:269/2688 loss0.439195 2022-11-10 23:29:07,572 - INFO - main.py - train - 88 - train epoch0 step:270/2688 loss0.145571 2022-11-10 23:29:07,905 - INFO - main.py - train - 88 - train epoch0 step:271/2688 loss0.040463 2022-11-10 23:29:08,237 - INFO - main.py - train - 88 - train epoch0 step:272/2688 loss0.983633 2022-11-10 23:29:08,564 - INFO - main.py - train - 88 - train epoch0 step:273/2688 loss0.024104 2022-11-10 23:29:08,893 - INFO - main.py - train - 88 - train epoch0 step:274/2688 loss0.194675 2022-11-10 23:29:09,221 - INFO - main.py - train - 88 - train epoch0 step:275/2688 loss0.021055 2022-11-10 23:29:09,550 - INFO - main.py - train - 88 - train epoch0 step:276/2688 loss0.036767 2022-11-10 23:29:09,894 - INFO - main.py - train - 88 - train epoch0 step:277/2688 loss0.047978 2022-11-10 23:29:10,244 - INFO - main.py - train - 88 - train epoch0 step:278/2688 loss0.012217 2022-11-10 23:29:10,577 - INFO - main.py - train - 88 - train epoch0 step:279/2688 loss1.451632 2022-11-10 23:29:10,909 - INFO - main.py - train - 88 - train epoch0 step:280/2688 loss0.011821 2022-11-10 23:29:11,123 - INFO - main.py - train - 88 - train epoch0 step:281/2688 loss0.014727 2022-11-10 23:36:01,118 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 23:36:01,439 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 23:36:01,747 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 23:36:02,076 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 23:36:02,397 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 23:36:02,728 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 23:36:03,055 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 23:36:03,374 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 23:36:03,697 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 23:36:04,026 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 23:36:04,349 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 23:36:04,676 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 23:36:04,994 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 23:36:05,319 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 23:36:05,534 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 23:36:05,856 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 23:36:06,058 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 23:36:06,379 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 23:36:06,712 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 23:36:07,041 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 23:36:07,367 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 23:36:07,696 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 23:36:08,021 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 23:36:08,343 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 23:36:08,678 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 23:36:08,998 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 23:36:09,315 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 23:36:09,641 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 23:36:09,969 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 23:36:10,286 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 23:36:10,620 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 23:36:10,941 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 23:36:11,264 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 23:36:11,593 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 23:36:11,914 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 23:36:12,234 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 23:36:12,569 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 23:36:12,889 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 23:36:13,098 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 23:36:13,428 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 23:36:13,754 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 23:36:14,085 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 23:36:14,410 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 23:36:14,743 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 23:36:15,071 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 23:36:15,400 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 23:36:15,738 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 23:36:16,068 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 23:36:16,400 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 23:36:16,722 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 23:36:16,928 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 23:36:17,249 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 23:36:17,577 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 23:36:17,902 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 23:36:18,222 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 23:36:18,546 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 23:36:18,876 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 23:36:19,195 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 23:36:19,526 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 23:36:19,851 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 23:36:20,173 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 23:36:20,504 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 23:36:20,829 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 23:36:21,159 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 23:36:21,487 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 23:36:21,817 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 23:36:22,026 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 23:36:22,355 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 23:36:22,686 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 23:36:22,895 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 23:36:23,216 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 23:36:23,531 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 23:36:23,749 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 23:36:23,957 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 23:36:24,287 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 23:36:24,612 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 23:36:24,943 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 23:36:25,265 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 23:36:25,585 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 23:36:25,913 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 23:36:26,229 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 23:36:26,554 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 23:36:26,881 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 23:36:27,199 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 23:36:27,527 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 23:36:27,857 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 23:36:28,183 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 23:36:28,503 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 23:36:28,829 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 23:36:29,034 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 23:36:29,357 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 23:36:29,684 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 23:36:30,012 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 23:36:30,338 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 23:36:30,667 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 23:36:31,008 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 23:36:31,337 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 23:36:31,667 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 23:36:32,002 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 23:36:32,327 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 23:36:32,537 - INFO - main.py - train - 88 - train epoch0 step:100/2688 loss0.049522 2022-11-10 23:36:32,870 - INFO - main.py - train - 88 - train epoch0 step:101/2688 loss0.027292 2022-11-10 23:36:33,191 - INFO - main.py - train - 88 - train epoch0 step:102/2688 loss0.037234 2022-11-10 23:36:33,518 - INFO - main.py - train - 88 - train epoch0 step:103/2688 loss0.036596 2022-11-10 23:36:33,842 - INFO - main.py - train - 88 - train epoch0 step:104/2688 loss1.457014 2022-11-10 23:36:34,167 - INFO - main.py - train - 88 - train epoch0 step:105/2688 loss0.044092 2022-11-10 23:36:34,499 - INFO - main.py - train - 88 - train epoch0 step:106/2688 loss0.067292 2022-11-10 23:36:34,828 - INFO - main.py - train - 88 - train epoch0 step:107/2688 loss1.623168 2022-11-10 23:36:35,164 - INFO - main.py - train - 88 - train epoch0 step:108/2688 loss0.115475 2022-11-10 23:36:35,484 - INFO - main.py - train - 88 - train epoch0 step:109/2688 loss0.247144 2022-11-10 23:36:35,805 - INFO - main.py - train - 88 - train epoch0 step:110/2688 loss0.135680 2022-11-10 23:36:36,136 - INFO - main.py - train - 88 - train epoch0 step:111/2688 loss0.117617 2022-11-10 23:36:36,455 - INFO - main.py - train - 88 - train epoch0 step:112/2688 loss0.190472 2022-11-10 23:36:36,782 - INFO - main.py - train - 88 - train epoch0 step:113/2688 loss0.156819 2022-11-10 23:36:36,993 - INFO - main.py - train - 88 - train epoch0 step:114/2688 loss0.067849 2022-11-10 23:36:37,321 - INFO - main.py - train - 88 - train epoch0 step:115/2688 loss0.125511 2022-11-10 23:36:37,661 - INFO - main.py - train - 88 - train epoch0 step:116/2688 loss0.179801 2022-11-10 23:36:37,990 - INFO - main.py - train - 88 - train epoch0 step:117/2688 loss0.169508 2022-11-10 23:36:38,328 - INFO - main.py - train - 88 - train epoch0 step:118/2688 loss0.064129 2022-11-10 23:36:38,654 - INFO - main.py - train - 88 - train epoch0 step:119/2688 loss0.055570 2022-11-10 23:36:38,997 - INFO - main.py - train - 88 - train epoch0 step:120/2688 loss0.027426 2022-11-10 23:36:39,328 - INFO - main.py - train - 88 - train epoch0 step:121/2688 loss0.031430 2022-11-10 23:36:39,539 - INFO - main.py - train - 88 - train epoch0 step:122/2688 loss0.006711 2022-11-10 23:36:39,869 - INFO - main.py - train - 88 - train epoch0 step:123/2688 loss0.025743 2022-11-10 23:36:40,196 - INFO - main.py - train - 88 - train epoch0 step:124/2688 loss0.011425 2022-11-10 23:36:40,528 - INFO - main.py - train - 88 - train epoch0 step:125/2688 loss0.011855 2022-11-10 23:36:40,852 - INFO - main.py - train - 88 - train epoch0 step:126/2688 loss0.009019 2022-11-10 23:36:41,178 - INFO - main.py - train - 88 - train epoch0 step:127/2688 loss0.011060 2022-11-10 23:36:41,510 - INFO - main.py - train - 88 - train epoch0 step:128/2688 loss0.005396 2022-11-10 23:36:41,832 - INFO - main.py - train - 88 - train epoch0 step:129/2688 loss0.013137 2022-11-10 23:36:42,160 - INFO - main.py - train - 88 - train epoch0 step:130/2688 loss0.005979 2022-11-10 23:36:42,489 - INFO - main.py - train - 88 - train epoch0 step:131/2688 loss0.007407 2022-11-10 23:36:42,822 - INFO - main.py - train - 88 - train epoch0 step:132/2688 loss0.005427 2022-11-10 23:36:43,148 - INFO - main.py - train - 88 - train epoch0 step:133/2688 loss0.007785 2022-11-10 23:36:43,354 - INFO - main.py - train - 88 - train epoch0 step:134/2688 loss0.003861 2022-11-10 23:36:43,681 - INFO - main.py - train - 88 - train epoch0 step:135/2688 loss0.004993 2022-11-10 23:36:44,011 - INFO - main.py - train - 88 - train epoch0 step:136/2688 loss0.002826 2022-11-10 23:36:44,355 - INFO - main.py - train - 88 - train epoch0 step:137/2688 loss1.407439 2022-11-10 23:36:44,685 - INFO - main.py - train - 88 - train epoch0 step:138/2688 loss1.766741 2022-11-10 23:36:45,029 - INFO - main.py - train - 88 - train epoch0 step:139/2688 loss0.006852 2022-11-10 23:36:45,358 - INFO - main.py - train - 88 - train epoch0 step:140/2688 loss1.894526 2022-11-10 23:36:45,689 - INFO - main.py - train - 88 - train epoch0 step:141/2688 loss0.014511 2022-11-10 23:36:46,018 - INFO - main.py - train - 88 - train epoch0 step:142/2688 loss2.159206 2022-11-10 23:36:46,349 - INFO - main.py - train - 88 - train epoch0 step:143/2688 loss0.025878 2022-11-10 23:36:46,679 - INFO - main.py - train - 88 - train epoch0 step:144/2688 loss0.253670 2022-11-10 23:36:47,012 - INFO - main.py - train - 88 - train epoch0 step:145/2688 loss0.061386 2022-11-10 23:36:47,346 - INFO - main.py - train - 88 - train epoch0 step:146/2688 loss0.067491 2022-11-10 23:36:47,679 - INFO - main.py - train - 88 - train epoch0 step:147/2688 loss0.093158 2022-11-10 23:36:48,011 - INFO - main.py - train - 88 - train epoch0 step:148/2688 loss0.093446 2022-11-10 23:36:48,348 - INFO - main.py - train - 88 - train epoch0 step:149/2688 loss0.053746 2022-11-10 23:36:48,668 - INFO - main.py - train - 88 - train epoch0 step:150/2688 loss0.112572 2022-11-10 23:36:48,872 - INFO - main.py - train - 88 - train epoch0 step:151/2688 loss0.091916 2022-11-10 23:36:49,204 - INFO - main.py - train - 88 - train epoch0 step:152/2688 loss0.257159 2022-11-10 23:36:49,536 - INFO - main.py - train - 88 - train epoch0 step:153/2688 loss0.063097 2022-11-10 23:36:49,859 - INFO - main.py - train - 88 - train epoch0 step:154/2688 loss1.249035 2022-11-10 23:36:50,195 - INFO - main.py - train - 88 - train epoch0 step:155/2688 loss0.038674 2022-11-10 23:36:50,519 - INFO - main.py - train - 88 - train epoch0 step:156/2688 loss0.085432 2022-11-10 23:36:50,843 - INFO - main.py - train - 88 - train epoch0 step:157/2688 loss0.091594 2022-11-10 23:36:51,177 - INFO - main.py - train - 88 - train epoch0 step:158/2688 loss0.098570 2022-11-10 23:36:51,517 - INFO - main.py - train - 88 - train epoch0 step:159/2688 loss0.988921 2022-11-10 23:36:51,852 - INFO - main.py - train - 88 - train epoch0 step:160/2688 loss1.095011 2022-11-10 23:36:52,177 - INFO - main.py - train - 88 - train epoch0 step:161/2688 loss0.076085 2022-11-10 23:36:52,498 - INFO - main.py - train - 88 - train epoch0 step:162/2688 loss0.089826 2022-11-10 23:36:52,828 - INFO - main.py - train - 88 - train epoch0 step:163/2688 loss0.214435 2022-11-10 23:36:53,168 - INFO - main.py - train - 88 - train epoch0 step:164/2688 loss0.528373 2022-11-10 23:36:53,491 - INFO - main.py - train - 88 - train epoch0 step:165/2688 loss0.280828 2022-11-10 23:36:53,818 - INFO - main.py - train - 88 - train epoch0 step:166/2688 loss0.087634 2022-11-10 23:36:54,149 - INFO - main.py - train - 88 - train epoch0 step:167/2688 loss0.135352 2022-11-10 23:36:54,482 - INFO - main.py - train - 88 - train epoch0 step:168/2688 loss0.631675 2022-11-10 23:36:54,819 - INFO - main.py - train - 88 - train epoch0 step:169/2688 loss0.227698 2022-11-10 23:36:55,150 - INFO - main.py - train - 88 - train epoch0 step:170/2688 loss0.393284 2022-11-10 23:36:55,486 - INFO - main.py - train - 88 - train epoch0 step:171/2688 loss0.121538 2022-11-10 23:36:55,818 - INFO - main.py - train - 88 - train epoch0 step:172/2688 loss0.072137 2022-11-10 23:36:56,155 - INFO - main.py - train - 88 - train epoch0 step:173/2688 loss0.036847 2022-11-10 23:36:56,476 - INFO - main.py - train - 88 - train epoch0 step:174/2688 loss0.032087 2022-11-10 23:36:56,799 - INFO - main.py - train - 88 - train epoch0 step:175/2688 loss0.015717 2022-11-10 23:36:57,124 - INFO - main.py - train - 88 - train epoch0 step:176/2688 loss0.482004 2022-11-10 23:36:57,453 - INFO - main.py - train - 88 - train epoch0 step:177/2688 loss1.158147 2022-11-10 23:36:57,778 - INFO - main.py - train - 88 - train epoch0 step:178/2688 loss0.020228 2022-11-10 23:36:58,108 - INFO - main.py - train - 88 - train epoch0 step:179/2688 loss0.033312 2022-11-10 23:36:58,447 - INFO - main.py - train - 88 - train epoch0 step:180/2688 loss0.020832 2022-11-10 23:36:58,765 - INFO - main.py - train - 88 - train epoch0 step:181/2688 loss0.091294 2022-11-10 23:36:59,095 - INFO - main.py - train - 88 - train epoch0 step:182/2688 loss0.591359 2022-11-10 23:36:59,433 - INFO - main.py - train - 88 - train epoch0 step:183/2688 loss0.023986 2022-11-10 23:36:59,765 - INFO - main.py - train - 88 - train epoch0 step:184/2688 loss0.085160 2022-11-10 23:37:00,093 - INFO - main.py - train - 88 - train epoch0 step:185/2688 loss0.129040 2022-11-10 23:37:00,424 - INFO - main.py - train - 88 - train epoch0 step:186/2688 loss0.298356 2022-11-10 23:37:00,751 - INFO - main.py - train - 88 - train epoch0 step:187/2688 loss0.046033 2022-11-10 23:37:01,073 - INFO - main.py - train - 88 - train epoch0 step:188/2688 loss0.016503 2022-11-10 23:37:01,404 - INFO - main.py - train - 88 - train epoch0 step:189/2688 loss0.047064 2022-11-10 23:37:01,727 - INFO - main.py - train - 88 - train epoch0 step:190/2688 loss0.024465 2022-11-10 23:37:02,054 - INFO - main.py - train - 88 - train epoch0 step:191/2688 loss0.041162 2022-11-10 23:37:02,383 - INFO - main.py - train - 88 - train epoch0 step:192/2688 loss0.036800 2022-11-10 23:37:02,719 - INFO - main.py - train - 88 - train epoch0 step:193/2688 loss0.035416 2022-11-10 23:37:03,046 - INFO - main.py - train - 88 - train epoch0 step:194/2688 loss0.028579 2022-11-10 23:37:03,384 - INFO - main.py - train - 88 - train epoch0 step:195/2688 loss0.012169 2022-11-10 23:37:03,718 - INFO - main.py - train - 88 - train epoch0 step:196/2688 loss0.015942 2022-11-10 23:37:04,051 - INFO - main.py - train - 88 - train epoch0 step:197/2688 loss0.037254 2022-11-10 23:37:04,392 - INFO - main.py - train - 88 - train epoch0 step:198/2688 loss0.010609 2022-11-10 23:37:04,721 - INFO - main.py - train - 88 - train epoch0 step:199/2688 loss0.011020 2022-11-10 23:37:05,063 - INFO - main.py - train - 88 - train epoch0 step:200/2688 loss0.002532 2022-11-10 23:37:05,402 - INFO - main.py - train - 88 - train epoch0 step:201/2688 loss0.027680 2022-11-10 23:37:05,738 - INFO - main.py - train - 88 - train epoch0 step:202/2688 loss0.004560 2022-11-10 23:37:06,072 - INFO - main.py - train - 88 - train epoch0 step:203/2688 loss0.796982 2022-11-10 23:37:06,406 - INFO - main.py - train - 88 - train epoch0 step:204/2688 loss0.008622 2022-11-10 23:37:06,733 - INFO - main.py - train - 88 - train epoch0 step:205/2688 loss0.003542 2022-11-10 23:37:07,060 - INFO - main.py - train - 88 - train epoch0 step:206/2688 loss0.010381 2022-11-10 23:37:07,396 - INFO - main.py - train - 88 - train epoch0 step:207/2688 loss0.031889 2022-11-10 23:37:07,732 - INFO - main.py - train - 88 - train epoch0 step:208/2688 loss0.208544 2022-11-10 23:37:08,053 - INFO - main.py - train - 88 - train epoch0 step:209/2688 loss0.015490 2022-11-10 23:37:08,385 - INFO - main.py - train - 88 - train epoch0 step:210/2688 loss0.011979 2022-11-10 23:37:08,719 - INFO - main.py - train - 88 - train epoch0 step:211/2688 loss0.015585 2022-11-10 23:37:09,059 - INFO - main.py - train - 88 - train epoch0 step:212/2688 loss0.016168 2022-11-10 23:37:09,390 - INFO - main.py - train - 88 - train epoch0 step:213/2688 loss0.009844 2022-11-10 23:37:09,717 - INFO - main.py - train - 88 - train epoch0 step:214/2688 loss0.036334 2022-11-10 23:37:10,047 - INFO - main.py - train - 88 - train epoch0 step:215/2688 loss0.087360 2022-11-10 23:37:10,374 - INFO - main.py - train - 88 - train epoch0 step:216/2688 loss0.048759 2022-11-10 23:37:10,714 - INFO - main.py - train - 88 - train epoch0 step:217/2688 loss0.019913 2022-11-10 23:37:11,043 - INFO - main.py - train - 88 - train epoch0 step:218/2688 loss0.004822 2022-11-10 23:37:11,380 - INFO - main.py - train - 88 - train epoch0 step:219/2688 loss0.074628 2022-11-10 23:37:11,710 - INFO - main.py - train - 88 - train epoch0 step:220/2688 loss0.059844 2022-11-10 23:37:12,042 - INFO - main.py - train - 88 - train epoch0 step:221/2688 loss0.027297 2022-11-10 23:37:12,382 - INFO - main.py - train - 88 - train epoch0 step:222/2688 loss0.004288 2022-11-10 23:37:12,717 - INFO - main.py - train - 88 - train epoch0 step:223/2688 loss0.025521 2022-11-10 23:37:13,044 - INFO - main.py - train - 88 - train epoch0 step:224/2688 loss0.003239 2022-11-10 23:37:13,369 - INFO - main.py - train - 88 - train epoch0 step:225/2688 loss0.003322 2022-11-10 23:37:13,704 - INFO - main.py - train - 88 - train epoch0 step:226/2688 loss0.006306 2022-11-10 23:37:14,042 - INFO - main.py - train - 88 - train epoch0 step:227/2688 loss0.018402 2022-11-10 23:37:14,377 - INFO - main.py - train - 88 - train epoch0 step:228/2688 loss0.003291 2022-11-10 23:37:14,711 - INFO - main.py - train - 88 - train epoch0 step:229/2688 loss0.549904 2022-11-10 23:37:15,038 - INFO - main.py - train - 88 - train epoch0 step:230/2688 loss0.006846 2022-11-10 23:37:15,372 - INFO - main.py - train - 88 - train epoch0 step:231/2688 loss0.004560 2022-11-10 23:37:15,701 - INFO - main.py - train - 88 - train epoch0 step:232/2688 loss0.013681 2022-11-10 23:37:16,030 - INFO - main.py - train - 88 - train epoch0 step:233/2688 loss0.012699 2022-11-10 23:37:16,370 - INFO - main.py - train - 88 - train epoch0 step:234/2688 loss0.007482 2022-11-10 23:37:16,702 - INFO - main.py - train - 88 - train epoch0 step:235/2688 loss0.015700 2022-11-10 23:37:16,923 - INFO - main.py - train - 88 - train epoch0 step:236/2688 loss0.008847 2022-11-10 23:37:17,258 - INFO - main.py - train - 88 - train epoch0 step:237/2688 loss0.382613 2022-11-10 23:37:17,591 - INFO - main.py - train - 88 - train epoch0 step:238/2688 loss1.883562 2022-11-10 23:37:17,926 - INFO - main.py - train - 88 - train epoch0 step:239/2688 loss0.001580 2022-11-10 23:37:18,261 - INFO - main.py - train - 88 - train epoch0 step:240/2688 loss0.003220 2022-11-10 23:37:18,592 - INFO - main.py - train - 88 - train epoch0 step:241/2688 loss0.013407 2022-11-10 23:37:18,930 - INFO - main.py - train - 88 - train epoch0 step:242/2688 loss2.334862 2022-11-10 23:37:19,255 - INFO - main.py - train - 88 - train epoch0 step:243/2688 loss0.212771 2022-11-10 23:37:19,588 - INFO - main.py - train - 88 - train epoch0 step:244/2688 loss0.029304 2022-11-10 23:37:19,923 - INFO - main.py - train - 88 - train epoch0 step:245/2688 loss0.005368 2022-11-10 23:37:20,261 - INFO - main.py - train - 88 - train epoch0 step:246/2688 loss0.267961 2022-11-10 23:37:20,473 - INFO - main.py - train - 88 - train epoch0 step:247/2688 loss0.006857 2022-11-10 23:37:20,802 - INFO - main.py - train - 88 - train epoch0 step:248/2688 loss0.015825 2022-11-10 23:37:21,144 - INFO - main.py - train - 88 - train epoch0 step:249/2688 loss0.008790 2022-11-10 23:37:21,483 - INFO - main.py - train - 88 - train epoch0 step:250/2688 loss3.199830 2022-11-10 23:37:21,811 - INFO - main.py - train - 88 - train epoch0 step:251/2688 loss0.015067 2022-11-10 23:37:22,140 - INFO - main.py - train - 88 - train epoch0 step:252/2688 loss0.049639 2022-11-10 23:37:22,490 - INFO - main.py - train - 88 - train epoch0 step:253/2688 loss0.033379 2022-11-10 23:37:22,822 - INFO - main.py - train - 88 - train epoch0 step:254/2688 loss0.039297 2022-11-10 23:37:23,151 - INFO - main.py - train - 88 - train epoch0 step:255/2688 loss0.032410 2022-11-10 23:37:23,486 - INFO - main.py - train - 88 - train epoch0 step:256/2688 loss0.079567 2022-11-10 23:37:23,815 - INFO - main.py - train - 88 - train epoch0 step:257/2688 loss0.100658 2022-11-10 23:37:24,152 - INFO - main.py - train - 88 - train epoch0 step:258/2688 loss0.821999 2022-11-10 23:37:24,486 - INFO - main.py - train - 88 - train epoch0 step:259/2688 loss0.074997 2022-11-10 23:37:24,820 - INFO - main.py - train - 88 - train epoch0 step:260/2688 loss0.016723 2022-11-10 23:37:25,149 - INFO - main.py - train - 88 - train epoch0 step:261/2688 loss0.068749 2022-11-10 23:37:25,355 - INFO - main.py - train - 88 - train epoch0 step:262/2688 loss0.012841 2022-11-10 23:37:25,685 - INFO - main.py - train - 88 - train epoch0 step:263/2688 loss0.045659 2022-11-10 23:37:26,016 - INFO - main.py - train - 88 - train epoch0 step:264/2688 loss0.048292 2022-11-10 23:37:26,346 - INFO - main.py - train - 88 - train epoch0 step:265/2688 loss0.327623 2022-11-10 23:37:26,674 - INFO - main.py - train - 88 - train epoch0 step:266/2688 loss0.462866 2022-11-10 23:37:27,001 - INFO - main.py - train - 88 - train epoch0 step:267/2688 loss0.031255 2022-11-10 23:37:27,338 - INFO - main.py - train - 88 - train epoch0 step:268/2688 loss0.043363 2022-11-10 23:37:27,666 - INFO - main.py - train - 88 - train epoch0 step:269/2688 loss0.439195 2022-11-10 23:37:27,997 - INFO - main.py - train - 88 - train epoch0 step:270/2688 loss0.145571 2022-11-10 23:37:28,329 - INFO - main.py - train - 88 - train epoch0 step:271/2688 loss0.040463 2022-11-10 23:37:28,661 - INFO - main.py - train - 88 - train epoch0 step:272/2688 loss0.983633 2022-11-10 23:37:29,001 - INFO - main.py - train - 88 - train epoch0 step:273/2688 loss0.024104 2022-11-10 23:37:29,331 - INFO - main.py - train - 88 - train epoch0 step:274/2688 loss0.194675 2022-11-10 23:37:29,671 - INFO - main.py - train - 88 - train epoch0 step:275/2688 loss0.021055 2022-11-10 23:37:29,996 - INFO - main.py - train - 88 - train epoch0 step:276/2688 loss0.036767 2022-11-10 23:37:30,339 - INFO - main.py - train - 88 - train epoch0 step:277/2688 loss0.047978 2022-11-10 23:37:30,676 - INFO - main.py - train - 88 - train epoch0 step:278/2688 loss0.012217 2022-11-10 23:37:31,011 - INFO - main.py - train - 88 - train epoch0 step:279/2688 loss1.451632 2022-11-10 23:37:31,349 - INFO - main.py - train - 88 - train epoch0 step:280/2688 loss0.011821 2022-11-10 23:37:31,560 - INFO - main.py - train - 88 - train epoch0 step:281/2688 loss0.014727 2022-11-10 23:38:16,074 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 23:38:16,408 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 23:38:16,731 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 23:38:17,060 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 23:38:17,380 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 23:38:17,706 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 23:38:18,046 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 23:38:18,372 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 23:38:18,701 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 23:38:19,030 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 23:38:19,356 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 23:38:19,683 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 23:38:20,019 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 23:38:20,340 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 23:38:20,550 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 23:38:20,882 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 23:38:21,092 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 23:38:21,424 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 23:38:21,760 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 23:38:22,092 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 23:38:22,424 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 23:38:22,752 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 23:38:23,075 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 23:38:23,396 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 23:38:23,732 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 23:38:24,062 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 23:38:24,390 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 23:38:24,715 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 23:38:25,041 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 23:38:25,362 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 23:38:25,696 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 23:38:26,018 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 23:38:26,347 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 23:38:26,669 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 23:38:26,991 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 23:38:27,316 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 23:38:27,643 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 23:38:27,968 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 23:38:28,181 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 23:38:28,523 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 23:38:28,848 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 23:38:29,183 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 23:38:29,516 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 23:38:29,858 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 23:38:30,195 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 23:38:30,519 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 23:38:30,851 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 23:38:31,193 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 23:38:31,531 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 23:38:31,859 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 23:38:32,066 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 23:38:32,394 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 23:38:32,733 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 23:38:33,065 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 23:38:33,396 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 23:38:33,722 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 23:38:34,044 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 23:38:34,369 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 23:38:34,693 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 23:38:35,017 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 23:38:35,342 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 23:38:35,669 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 23:38:35,997 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 23:38:36,324 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 23:38:36,655 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 23:38:36,993 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 23:38:37,201 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 23:38:37,534 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 23:38:37,860 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 23:38:38,068 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 23:38:38,398 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 23:38:38,719 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 23:38:38,943 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 23:38:39,153 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 23:38:39,488 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 23:38:39,818 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 23:38:40,153 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 23:38:40,475 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 23:38:40,802 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 23:38:41,128 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 23:38:41,450 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 23:38:41,775 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 23:38:42,097 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 23:38:42,425 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 23:38:42,749 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 23:38:43,081 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 23:38:43,418 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 23:38:43,748 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 23:38:44,084 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 23:38:44,289 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 23:38:44,621 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 23:38:44,964 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 23:38:45,294 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 23:38:45,634 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 23:38:45,967 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 23:38:46,298 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 23:38:46,627 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 23:38:46,957 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 23:38:47,300 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 23:38:47,631 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 23:38:47,841 - INFO - main.py - train - 88 - train epoch0 step:100/2688 loss0.049522 2022-11-10 23:38:48,168 - INFO - main.py - train - 88 - train epoch0 step:101/2688 loss0.027292 2022-11-10 23:38:48,503 - INFO - main.py - train - 88 - train epoch0 step:102/2688 loss0.037234 2022-11-10 23:38:48,842 - INFO - main.py - train - 88 - train epoch0 step:103/2688 loss0.036596 2022-11-10 23:38:49,177 - INFO - main.py - train - 88 - train epoch0 step:104/2688 loss1.457014 2022-11-10 23:38:49,502 - INFO - main.py - train - 88 - train epoch0 step:105/2688 loss0.044092 2022-11-10 23:38:49,832 - INFO - main.py - train - 88 - train epoch0 step:106/2688 loss0.067292 2022-11-10 23:38:50,158 - INFO - main.py - train - 88 - train epoch0 step:107/2688 loss1.623168 2022-11-10 23:38:50,491 - INFO - main.py - train - 88 - train epoch0 step:108/2688 loss0.115475 2022-11-10 23:38:50,826 - INFO - main.py - train - 88 - train epoch0 step:109/2688 loss0.247144 2022-11-10 23:38:51,157 - INFO - main.py - train - 88 - train epoch0 step:110/2688 loss0.135680 2022-11-10 23:38:51,495 - INFO - main.py - train - 88 - train epoch0 step:111/2688 loss0.117617 2022-11-10 23:38:51,821 - INFO - main.py - train - 88 - train epoch0 step:112/2688 loss0.190472 2022-11-10 23:38:52,152 - INFO - main.py - train - 88 - train epoch0 step:113/2688 loss0.156819 2022-11-10 23:38:52,361 - INFO - main.py - train - 88 - train epoch0 step:114/2688 loss0.067849 2022-11-10 23:38:52,692 - INFO - main.py - train - 88 - train epoch0 step:115/2688 loss0.125511 2022-11-10 23:38:53,018 - INFO - main.py - train - 88 - train epoch0 step:116/2688 loss0.179801 2022-11-10 23:38:53,344 - INFO - main.py - train - 88 - train epoch0 step:117/2688 loss0.169508 2022-11-10 23:38:53,679 - INFO - main.py - train - 88 - train epoch0 step:118/2688 loss0.064129 2022-11-10 23:38:54,010 - INFO - main.py - train - 88 - train epoch0 step:119/2688 loss0.055570 2022-11-10 23:38:54,344 - INFO - main.py - train - 88 - train epoch0 step:120/2688 loss0.027426 2022-11-10 23:38:54,679 - INFO - main.py - train - 88 - train epoch0 step:121/2688 loss0.031430 2022-11-10 23:38:54,883 - INFO - main.py - train - 88 - train epoch0 step:122/2688 loss0.006711 2022-11-10 23:38:55,219 - INFO - main.py - train - 88 - train epoch0 step:123/2688 loss0.025743 2022-11-10 23:38:55,554 - INFO - main.py - train - 88 - train epoch0 step:124/2688 loss0.011425 2022-11-10 23:38:55,879 - INFO - main.py - train - 88 - train epoch0 step:125/2688 loss0.011855 2022-11-10 23:38:56,209 - INFO - main.py - train - 88 - train epoch0 step:126/2688 loss0.009019 2022-11-10 23:38:56,546 - INFO - main.py - train - 88 - train epoch0 step:127/2688 loss0.011060 2022-11-10 23:38:56,885 - INFO - main.py - train - 88 - train epoch0 step:128/2688 loss0.005396 2022-11-10 23:38:57,214 - INFO - main.py - train - 88 - train epoch0 step:129/2688 loss0.013137 2022-11-10 23:38:57,543 - INFO - main.py - train - 88 - train epoch0 step:130/2688 loss0.005979 2022-11-10 23:38:57,880 - INFO - main.py - train - 88 - train epoch0 step:131/2688 loss0.007407 2022-11-10 23:38:58,205 - INFO - main.py - train - 88 - train epoch0 step:132/2688 loss0.005427 2022-11-10 23:38:58,529 - INFO - main.py - train - 88 - train epoch0 step:133/2688 loss0.007785 2022-11-10 23:38:58,738 - INFO - main.py - train - 88 - train epoch0 step:134/2688 loss0.003861 2022-11-10 23:38:59,070 - INFO - main.py - train - 88 - train epoch0 step:135/2688 loss0.004993 2022-11-10 23:38:59,408 - INFO - main.py - train - 88 - train epoch0 step:136/2688 loss0.002826 2022-11-10 23:38:59,743 - INFO - main.py - train - 88 - train epoch0 step:137/2688 loss1.407439 2022-11-10 23:39:00,072 - INFO - main.py - train - 88 - train epoch0 step:138/2688 loss1.766741 2022-11-10 23:39:00,402 - INFO - main.py - train - 88 - train epoch0 step:139/2688 loss0.006852 2022-11-10 23:39:00,725 - INFO - main.py - train - 88 - train epoch0 step:140/2688 loss1.894526 2022-11-10 23:39:01,052 - INFO - main.py - train - 88 - train epoch0 step:141/2688 loss0.014511 2022-11-10 23:39:01,388 - INFO - main.py - train - 88 - train epoch0 step:142/2688 loss2.159206 2022-11-10 23:39:01,719 - INFO - main.py - train - 88 - train epoch0 step:143/2688 loss0.025878 2022-11-10 23:39:02,047 - INFO - main.py - train - 88 - train epoch0 step:144/2688 loss0.253670 2022-11-10 23:39:02,378 - INFO - main.py - train - 88 - train epoch0 step:145/2688 loss0.061386 2022-11-10 23:39:02,716 - INFO - main.py - train - 88 - train epoch0 step:146/2688 loss0.067491 2022-11-10 23:39:03,045 - INFO - main.py - train - 88 - train epoch0 step:147/2688 loss0.093158 2022-11-10 23:39:03,384 - INFO - main.py - train - 88 - train epoch0 step:148/2688 loss0.093446 2022-11-10 23:39:03,724 - INFO - main.py - train - 88 - train epoch0 step:149/2688 loss0.053746 2022-11-10 23:39:04,054 - INFO - main.py - train - 88 - train epoch0 step:150/2688 loss0.112572 2022-11-10 23:39:04,263 - INFO - main.py - train - 88 - train epoch0 step:151/2688 loss0.091916 2022-11-10 23:39:04,598 - INFO - main.py - train - 88 - train epoch0 step:152/2688 loss0.257159 2022-11-10 23:39:04,932 - INFO - main.py - train - 88 - train epoch0 step:153/2688 loss0.063097 2022-11-10 23:39:05,267 - INFO - main.py - train - 88 - train epoch0 step:154/2688 loss1.249035 2022-11-10 23:39:05,601 - INFO - main.py - train - 88 - train epoch0 step:155/2688 loss0.038674 2022-11-10 23:39:05,938 - INFO - main.py - train - 88 - train epoch0 step:156/2688 loss0.085432 2022-11-10 23:39:06,271 - INFO - main.py - train - 88 - train epoch0 step:157/2688 loss0.091594 2022-11-10 23:39:06,610 - INFO - main.py - train - 88 - train epoch0 step:158/2688 loss0.098570 2022-11-10 23:39:06,953 - INFO - main.py - train - 88 - train epoch0 step:159/2688 loss0.988921 2022-11-10 23:39:07,287 - INFO - main.py - train - 88 - train epoch0 step:160/2688 loss1.095011 2022-11-10 23:39:07,616 - INFO - main.py - train - 88 - train epoch0 step:161/2688 loss0.076085 2022-11-10 23:39:07,944 - INFO - main.py - train - 88 - train epoch0 step:162/2688 loss0.089826 2022-11-10 23:39:08,277 - INFO - main.py - train - 88 - train epoch0 step:163/2688 loss0.214435 2022-11-10 23:39:08,627 - INFO - main.py - train - 88 - train epoch0 step:164/2688 loss0.528373 2022-11-10 23:39:08,959 - INFO - main.py - train - 88 - train epoch0 step:165/2688 loss0.280828 2022-11-10 23:39:09,292 - INFO - main.py - train - 88 - train epoch0 step:166/2688 loss0.087634 2022-11-10 23:39:09,621 - INFO - main.py - train - 88 - train epoch0 step:167/2688 loss0.135352 2022-11-10 23:39:09,953 - INFO - main.py - train - 88 - train epoch0 step:168/2688 loss0.631675 2022-11-10 23:39:10,283 - INFO - main.py - train - 88 - train epoch0 step:169/2688 loss0.227698 2022-11-10 23:39:10,609 - INFO - main.py - train - 88 - train epoch0 step:170/2688 loss0.393284 2022-11-10 23:39:10,947 - INFO - main.py - train - 88 - train epoch0 step:171/2688 loss0.121538 2022-11-10 23:39:11,289 - INFO - main.py - train - 88 - train epoch0 step:172/2688 loss0.072137 2022-11-10 23:39:11,625 - INFO - main.py - train - 88 - train epoch0 step:173/2688 loss0.036847 2022-11-10 23:39:11,954 - INFO - main.py - train - 88 - train epoch0 step:174/2688 loss0.032087 2022-11-10 23:39:12,284 - INFO - main.py - train - 88 - train epoch0 step:175/2688 loss0.015717 2022-11-10 23:39:12,616 - INFO - main.py - train - 88 - train epoch0 step:176/2688 loss0.482004 2022-11-10 23:39:12,958 - INFO - main.py - train - 88 - train epoch0 step:177/2688 loss1.158147 2022-11-10 23:39:13,298 - INFO - main.py - train - 88 - train epoch0 step:178/2688 loss0.020228 2022-11-10 23:39:13,635 - INFO - main.py - train - 88 - train epoch0 step:179/2688 loss0.033312 2022-11-10 23:39:13,971 - INFO - main.py - train - 88 - train epoch0 step:180/2688 loss0.020832 2022-11-10 23:39:14,300 - INFO - main.py - train - 88 - train epoch0 step:181/2688 loss0.091294 2022-11-10 23:39:14,633 - INFO - main.py - train - 88 - train epoch0 step:182/2688 loss0.591359 2022-11-10 23:39:14,973 - INFO - main.py - train - 88 - train epoch0 step:183/2688 loss0.023986 2022-11-10 23:39:15,299 - INFO - main.py - train - 88 - train epoch0 step:184/2688 loss0.085160 2022-11-10 23:39:15,629 - INFO - main.py - train - 88 - train epoch0 step:185/2688 loss0.129040 2022-11-10 23:39:15,966 - INFO - main.py - train - 88 - train epoch0 step:186/2688 loss0.298356 2022-11-10 23:39:16,296 - INFO - main.py - train - 88 - train epoch0 step:187/2688 loss0.046033 2022-11-10 23:39:16,626 - INFO - main.py - train - 88 - train epoch0 step:188/2688 loss0.016503 2022-11-10 23:39:16,965 - INFO - main.py - train - 88 - train epoch0 step:189/2688 loss0.047064 2022-11-10 23:39:17,299 - INFO - main.py - train - 88 - train epoch0 step:190/2688 loss0.024465 2022-11-10 23:39:17,634 - INFO - main.py - train - 88 - train epoch0 step:191/2688 loss0.041162 2022-11-10 23:39:17,974 - INFO - main.py - train - 88 - train epoch0 step:192/2688 loss0.036800 2022-11-10 23:39:18,314 - INFO - main.py - train - 88 - train epoch0 step:193/2688 loss0.035416 2022-11-10 23:39:18,645 - INFO - main.py - train - 88 - train epoch0 step:194/2688 loss0.028579 2022-11-10 23:39:18,985 - INFO - main.py - train - 88 - train epoch0 step:195/2688 loss0.012169 2022-11-10 23:39:19,314 - INFO - main.py - train - 88 - train epoch0 step:196/2688 loss0.015942 2022-11-10 23:39:19,650 - INFO - main.py - train - 88 - train epoch0 step:197/2688 loss0.037254 2022-11-10 23:39:19,982 - INFO - main.py - train - 88 - train epoch0 step:198/2688 loss0.010609 2022-11-10 23:39:20,307 - INFO - main.py - train - 88 - train epoch0 step:199/2688 loss0.011020 2022-11-10 23:39:20,637 - INFO - main.py - train - 88 - train epoch0 step:200/2688 loss0.002532 2022-11-10 23:39:20,975 - INFO - main.py - train - 88 - train epoch0 step:201/2688 loss0.027680 2022-11-10 23:39:21,307 - INFO - main.py - train - 88 - train epoch0 step:202/2688 loss0.004560 2022-11-10 23:39:21,647 - INFO - main.py - train - 88 - train epoch0 step:203/2688 loss0.796982 2022-11-10 23:39:21,983 - INFO - main.py - train - 88 - train epoch0 step:204/2688 loss0.008622 2022-11-10 23:39:22,309 - INFO - main.py - train - 88 - train epoch0 step:205/2688 loss0.003542 2022-11-10 23:39:22,633 - INFO - main.py - train - 88 - train epoch0 step:206/2688 loss0.010381 2022-11-10 23:39:22,974 - INFO - main.py - train - 88 - train epoch0 step:207/2688 loss0.031889 2022-11-10 23:39:23,309 - INFO - main.py - train - 88 - train epoch0 step:208/2688 loss0.208544 2022-11-10 23:39:23,641 - INFO - main.py - train - 88 - train epoch0 step:209/2688 loss0.015490 2022-11-10 23:39:23,977 - INFO - main.py - train - 88 - train epoch0 step:210/2688 loss0.011979 2022-11-10 23:39:24,306 - INFO - main.py - train - 88 - train epoch0 step:211/2688 loss0.015585 2022-11-10 23:39:24,646 - INFO - main.py - train - 88 - train epoch0 step:212/2688 loss0.016168 2022-11-10 23:39:24,984 - INFO - main.py - train - 88 - train epoch0 step:213/2688 loss0.009844 2022-11-10 23:39:25,312 - INFO - main.py - train - 88 - train epoch0 step:214/2688 loss0.036334 2022-11-10 23:39:25,639 - INFO - main.py - train - 88 - train epoch0 step:215/2688 loss0.087360 2022-11-10 23:39:25,968 - INFO - main.py - train - 88 - train epoch0 step:216/2688 loss0.048759 2022-11-10 23:39:26,315 - INFO - main.py - train - 88 - train epoch0 step:217/2688 loss0.019913 2022-11-10 23:39:26,652 - INFO - main.py - train - 88 - train epoch0 step:218/2688 loss0.004822 2022-11-10 23:39:26,985 - INFO - main.py - train - 88 - train epoch0 step:219/2688 loss0.074628 2022-11-10 23:39:27,322 - INFO - main.py - train - 88 - train epoch0 step:220/2688 loss0.059844 2022-11-10 23:39:27,655 - INFO - main.py - train - 88 - train epoch0 step:221/2688 loss0.027297 2022-11-10 23:39:27,991 - INFO - main.py - train - 88 - train epoch0 step:222/2688 loss0.004288 2022-11-10 23:39:28,326 - INFO - main.py - train - 88 - train epoch0 step:223/2688 loss0.025521 2022-11-10 23:39:28,658 - INFO - main.py - train - 88 - train epoch0 step:224/2688 loss0.003239 2022-11-10 23:39:28,988 - INFO - main.py - train - 88 - train epoch0 step:225/2688 loss0.003322 2022-11-10 23:39:29,321 - INFO - main.py - train - 88 - train epoch0 step:226/2688 loss0.006306 2022-11-10 23:39:29,648 - INFO - main.py - train - 88 - train epoch0 step:227/2688 loss0.018402 2022-11-10 23:39:29,985 - INFO - main.py - train - 88 - train epoch0 step:228/2688 loss0.003291 2022-11-10 23:39:30,320 - INFO - main.py - train - 88 - train epoch0 step:229/2688 loss0.549904 2022-11-10 23:39:30,648 - INFO - main.py - train - 88 - train epoch0 step:230/2688 loss0.006846 2022-11-10 23:39:30,986 - INFO - main.py - train - 88 - train epoch0 step:231/2688 loss0.004560 2022-11-10 23:39:31,319 - INFO - main.py - train - 88 - train epoch0 step:232/2688 loss0.013681 2022-11-10 23:39:31,653 - INFO - main.py - train - 88 - train epoch0 step:233/2688 loss0.012699 2022-11-10 23:39:31,992 - INFO - main.py - train - 88 - train epoch0 step:234/2688 loss0.007482 2022-11-10 23:39:32,338 - INFO - main.py - train - 88 - train epoch0 step:235/2688 loss0.015700 2022-11-10 23:39:32,554 - INFO - main.py - train - 88 - train epoch0 step:236/2688 loss0.008847 2022-11-10 23:39:32,890 - INFO - main.py - train - 88 - train epoch0 step:237/2688 loss0.382613 2022-11-10 23:39:33,226 - INFO - main.py - train - 88 - train epoch0 step:238/2688 loss1.883562 2022-11-10 23:39:33,560 - INFO - main.py - train - 88 - train epoch0 step:239/2688 loss0.001580 2022-11-10 23:39:33,892 - INFO - main.py - train - 88 - train epoch0 step:240/2688 loss0.003220 2022-11-10 23:39:34,223 - INFO - main.py - train - 88 - train epoch0 step:241/2688 loss0.013407 2022-11-10 23:39:34,556 - INFO - main.py - train - 88 - train epoch0 step:242/2688 loss2.334862 2022-11-10 23:39:34,884 - INFO - main.py - train - 88 - train epoch0 step:243/2688 loss0.212771 2022-11-10 23:39:35,220 - INFO - main.py - train - 88 - train epoch0 step:244/2688 loss0.029304 2022-11-10 23:39:35,546 - INFO - main.py - train - 88 - train epoch0 step:245/2688 loss0.005368 2022-11-10 23:39:35,879 - INFO - main.py - train - 88 - train epoch0 step:246/2688 loss0.267961 2022-11-10 23:39:36,095 - INFO - main.py - train - 88 - train epoch0 step:247/2688 loss0.006857 2022-11-10 23:39:36,422 - INFO - main.py - train - 88 - train epoch0 step:248/2688 loss0.015825 2022-11-10 23:39:36,750 - INFO - main.py - train - 88 - train epoch0 step:249/2688 loss0.008790 2022-11-10 23:39:37,095 - INFO - main.py - train - 88 - train epoch0 step:250/2688 loss3.199830 2022-11-10 23:39:37,430 - INFO - main.py - train - 88 - train epoch0 step:251/2688 loss0.015067 2022-11-10 23:39:37,758 - INFO - main.py - train - 88 - train epoch0 step:252/2688 loss0.049639 2022-11-10 23:39:38,097 - INFO - main.py - train - 88 - train epoch0 step:253/2688 loss0.033379 2022-11-10 23:39:38,436 - INFO - main.py - train - 88 - train epoch0 step:254/2688 loss0.039297 2022-11-10 23:39:38,773 - INFO - main.py - train - 88 - train epoch0 step:255/2688 loss0.032410 2022-11-10 23:39:39,100 - INFO - main.py - train - 88 - train epoch0 step:256/2688 loss0.079567 2022-11-10 23:39:39,434 - INFO - main.py - train - 88 - train epoch0 step:257/2688 loss0.100658 2022-11-10 23:39:39,771 - INFO - main.py - train - 88 - train epoch0 step:258/2688 loss0.821999 2022-11-10 23:39:40,107 - INFO - main.py - train - 88 - train epoch0 step:259/2688 loss0.074997 2022-11-10 23:39:40,439 - INFO - main.py - train - 88 - train epoch0 step:260/2688 loss0.016723 2022-11-10 23:39:40,767 - INFO - main.py - train - 88 - train epoch0 step:261/2688 loss0.068749 2022-11-10 23:39:40,978 - INFO - main.py - train - 88 - train epoch0 step:262/2688 loss0.012841 2022-11-10 23:39:41,309 - INFO - main.py - train - 88 - train epoch0 step:263/2688 loss0.045659 2022-11-10 23:39:41,643 - INFO - main.py - train - 88 - train epoch0 step:264/2688 loss0.048292 2022-11-10 23:39:41,977 - INFO - main.py - train - 88 - train epoch0 step:265/2688 loss0.327623 2022-11-10 23:39:42,306 - INFO - main.py - train - 88 - train epoch0 step:266/2688 loss0.462866 2022-11-10 23:39:42,640 - INFO - main.py - train - 88 - train epoch0 step:267/2688 loss0.031255 2022-11-10 23:39:42,976 - INFO - main.py - train - 88 - train epoch0 step:268/2688 loss0.043363 2022-11-10 23:39:43,315 - INFO - main.py - train - 88 - train epoch0 step:269/2688 loss0.439195 2022-11-10 23:39:43,647 - INFO - main.py - train - 88 - train epoch0 step:270/2688 loss0.145571 2022-11-10 23:39:43,982 - INFO - main.py - train - 88 - train epoch0 step:271/2688 loss0.040463 2022-11-10 23:39:44,310 - INFO - main.py - train - 88 - train epoch0 step:272/2688 loss0.983633 2022-11-10 23:39:44,647 - INFO - main.py - train - 88 - train epoch0 step:273/2688 loss0.024104 2022-11-10 23:39:44,976 - INFO - main.py - train - 88 - train epoch0 step:274/2688 loss0.194675 2022-11-10 23:39:45,310 - INFO - main.py - train - 88 - train epoch0 step:275/2688 loss0.021055 2022-11-10 23:39:45,644 - INFO - main.py - train - 88 - train epoch0 step:276/2688 loss0.036767 2022-11-10 23:39:45,983 - INFO - main.py - train - 88 - train epoch0 step:277/2688 loss0.047978 2022-11-10 23:39:46,321 - INFO - main.py - train - 88 - train epoch0 step:278/2688 loss0.012217 2022-11-10 23:39:46,657 - INFO - main.py - train - 88 - train epoch0 step:279/2688 loss1.451632 2022-11-10 23:39:46,989 - INFO - main.py - train - 88 - train epoch0 step:280/2688 loss0.011821 2022-11-10 23:39:47,205 - INFO - main.py - train - 88 - train epoch0 step:281/2688 loss0.014727 2022-11-10 23:42:23,502 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-10 23:42:23,826 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-10 23:42:24,147 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-10 23:42:24,471 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-10 23:42:24,789 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-10 23:42:25,118 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-10 23:42:25,440 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-10 23:42:25,766 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-10 23:42:26,091 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-10 23:42:26,414 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-10 23:42:26,740 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-10 23:42:27,067 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-10 23:42:27,388 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-10 23:42:27,709 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-10 23:42:27,929 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-10 23:42:28,262 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-10 23:42:28,465 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-10 23:42:28,793 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-10 23:42:29,122 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-10 23:42:29,457 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-10 23:42:29,785 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-11-10 23:42:30,105 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-11-10 23:42:30,429 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-11-10 23:42:30,745 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-11-10 23:42:31,084 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-11-10 23:42:31,401 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-11-10 23:42:31,720 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-11-10 23:42:32,052 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-11-10 23:42:32,374 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-11-10 23:42:32,698 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-11-10 23:42:33,028 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-11-10 23:42:33,348 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-11-10 23:42:33,674 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-11-10 23:42:34,001 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-11-10 23:42:34,321 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-11-10 23:42:34,647 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-11-10 23:42:34,977 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-11-10 23:42:35,305 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-11-10 23:42:35,520 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-11-10 23:42:35,847 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-11-10 23:42:36,172 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-11-10 23:42:36,497 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-11-10 23:42:36,829 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-11-10 23:42:37,161 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-11-10 23:42:37,490 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-11-10 23:42:37,811 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-11-10 23:42:38,147 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-11-10 23:42:38,482 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-11-10 23:42:38,807 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-11-10 23:42:39,141 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-11-10 23:42:39,346 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-11-10 23:42:39,670 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-11-10 23:42:39,997 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-11-10 23:42:40,322 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-11-10 23:42:40,641 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-11-10 23:42:40,975 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-11-10 23:42:41,300 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-11-10 23:42:41,621 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-11-10 23:42:41,957 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-11-10 23:42:42,285 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-11-10 23:42:42,616 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-11-10 23:42:42,957 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-11-10 23:42:43,296 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-11-10 23:42:43,622 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-11-10 23:42:43,959 - INFO - main.py - train - 88 - train epoch0 step:64/2688 loss0.209547 2022-11-10 23:42:44,286 - INFO - main.py - train - 88 - train epoch0 step:65/2688 loss0.323792 2022-11-10 23:42:44,495 - INFO - main.py - train - 88 - train epoch0 step:66/2688 loss0.070411 2022-11-10 23:42:44,828 - INFO - main.py - train - 88 - train epoch0 step:67/2688 loss1.155958 2022-11-10 23:42:45,157 - INFO - main.py - train - 88 - train epoch0 step:68/2688 loss0.070195 2022-11-10 23:42:45,364 - INFO - main.py - train - 88 - train epoch0 step:69/2688 loss0.034961 2022-11-10 23:42:45,691 - INFO - main.py - train - 88 - train epoch0 step:70/2688 loss0.055601 2022-11-10 23:42:46,020 - INFO - main.py - train - 88 - train epoch0 step:71/2688 loss0.069085 2022-11-10 23:42:46,235 - INFO - main.py - train - 88 - train epoch0 step:72/2688 loss0.051325 2022-11-10 23:42:46,446 - INFO - main.py - train - 88 - train epoch0 step:73/2688 loss0.041386 2022-11-10 23:42:46,776 - INFO - main.py - train - 88 - train epoch0 step:74/2688 loss0.032641 2022-11-10 23:42:47,106 - INFO - main.py - train - 88 - train epoch0 step:75/2688 loss0.028716 2022-11-10 23:42:47,436 - INFO - main.py - train - 88 - train epoch0 step:76/2688 loss0.034587 2022-11-10 23:42:47,763 - INFO - main.py - train - 88 - train epoch0 step:77/2688 loss0.018762 2022-11-10 23:42:48,094 - INFO - main.py - train - 88 - train epoch0 step:78/2688 loss0.024614 2022-11-10 23:42:48,423 - INFO - main.py - train - 88 - train epoch0 step:79/2688 loss0.022620 2022-11-10 23:42:48,748 - INFO - main.py - train - 88 - train epoch0 step:80/2688 loss0.011791 2022-11-10 23:42:49,081 - INFO - main.py - train - 88 - train epoch0 step:81/2688 loss0.031193 2022-11-10 23:42:49,405 - INFO - main.py - train - 88 - train epoch0 step:82/2688 loss2.813082 2022-11-10 23:42:49,735 - INFO - main.py - train - 88 - train epoch0 step:83/2688 loss0.017672 2022-11-10 23:42:50,065 - INFO - main.py - train - 88 - train epoch0 step:84/2688 loss0.035989 2022-11-10 23:42:50,404 - INFO - main.py - train - 88 - train epoch0 step:85/2688 loss0.024666 2022-11-10 23:42:50,734 - INFO - main.py - train - 88 - train epoch0 step:86/2688 loss0.029573 2022-11-10 23:42:51,068 - INFO - main.py - train - 88 - train epoch0 step:87/2688 loss0.012805 2022-11-10 23:42:51,406 - INFO - main.py - train - 88 - train epoch0 step:88/2688 loss0.016364 2022-11-10 23:42:51,613 - INFO - main.py - train - 88 - train epoch0 step:89/2688 loss0.012542 2022-11-10 23:42:51,947 - INFO - main.py - train - 88 - train epoch0 step:90/2688 loss0.011016 2022-11-10 23:42:52,283 - INFO - main.py - train - 88 - train epoch0 step:91/2688 loss0.016467 2022-11-10 23:42:52,615 - INFO - main.py - train - 88 - train epoch0 step:92/2688 loss0.020575 2022-11-10 23:42:52,947 - INFO - main.py - train - 88 - train epoch0 step:93/2688 loss0.018162 2022-11-10 23:42:53,276 - INFO - main.py - train - 88 - train epoch0 step:94/2688 loss0.010983 2022-11-10 23:42:53,611 - INFO - main.py - train - 88 - train epoch0 step:95/2688 loss0.015166 2022-11-10 23:42:53,943 - INFO - main.py - train - 88 - train epoch0 step:96/2688 loss2.882608 2022-11-10 23:42:54,276 - INFO - main.py - train - 88 - train epoch0 step:97/2688 loss1.593594 2022-11-10 23:42:54,612 - INFO - main.py - train - 88 - train epoch0 step:98/2688 loss0.017314 2022-11-10 23:42:54,943 - INFO - main.py - train - 88 - train epoch0 step:99/2688 loss0.017287 2022-11-10 23:42:55,154 - INFO - main.py - train - 88 - train epoch0 step:100/2688 loss0.049522 2022-11-10 23:42:55,473 - INFO - main.py - train - 88 - train epoch0 step:101/2688 loss0.027292 2022-11-10 23:42:55,802 - INFO - main.py - train - 88 - train epoch0 step:102/2688 loss0.037234 2022-11-10 23:42:56,137 - INFO - main.py - train - 88 - train epoch0 step:103/2688 loss0.036596 2022-11-10 23:42:56,472 - INFO - main.py - train - 88 - train epoch0 step:104/2688 loss1.457014 2022-11-10 23:42:56,802 - INFO - main.py - train - 88 - train epoch0 step:105/2688 loss0.044092 2022-11-10 23:42:57,149 - INFO - main.py - train - 88 - train epoch0 step:106/2688 loss0.067292 2022-11-10 23:42:57,485 - INFO - main.py - train - 88 - train epoch0 step:107/2688 loss1.623168 2022-11-10 23:42:57,809 - INFO - main.py - train - 88 - train epoch0 step:108/2688 loss0.115475 2022-11-10 23:42:58,139 - INFO - main.py - train - 88 - train epoch0 step:109/2688 loss0.247144 2022-11-10 23:42:58,468 - INFO - main.py - train - 88 - train epoch0 step:110/2688 loss0.135680 2022-11-10 23:42:58,805 - INFO - main.py - train - 88 - train epoch0 step:111/2688 loss0.117617 2022-11-10 23:42:59,124 - INFO - main.py - train - 88 - train epoch0 step:112/2688 loss0.190472 2022-11-10 23:42:59,463 - INFO - main.py - train - 88 - train epoch0 step:113/2688 loss0.156819 2022-11-10 23:42:59,675 - INFO - main.py - train - 88 - train epoch0 step:114/2688 loss0.067849 2022-11-10 23:43:00,000 - INFO - main.py - train - 88 - train epoch0 step:115/2688 loss0.125511 2022-11-10 23:43:00,327 - INFO - main.py - train - 88 - train epoch0 step:116/2688 loss0.179801 2022-11-10 23:43:00,650 - INFO - main.py - train - 88 - train epoch0 step:117/2688 loss0.169508 2022-11-10 23:43:00,980 - INFO - main.py - train - 88 - train epoch0 step:118/2688 loss0.064129 2022-11-10 23:43:01,316 - INFO - main.py - train - 88 - train epoch0 step:119/2688 loss0.055570 2022-11-10 23:43:01,649 - INFO - main.py - train - 88 - train epoch0 step:120/2688 loss0.027426 2022-11-10 23:43:01,977 - INFO - main.py - train - 88 - train epoch0 step:121/2688 loss0.031430 2022-11-10 23:43:02,190 - INFO - main.py - train - 88 - train epoch0 step:122/2688 loss0.006711 2022-11-10 23:43:02,519 - INFO - main.py - train - 88 - train epoch0 step:123/2688 loss0.025743 2022-11-10 23:43:02,842 - INFO - main.py - train - 88 - train epoch0 step:124/2688 loss0.011425 2022-11-10 23:43:03,169 - INFO - main.py - train - 88 - train epoch0 step:125/2688 loss0.011855 2022-11-10 23:43:03,498 - INFO - main.py - train - 88 - train epoch0 step:126/2688 loss0.009019 2022-11-10 23:43:03,831 - INFO - main.py - train - 88 - train epoch0 step:127/2688 loss0.011060 2022-11-10 23:43:04,166 - INFO - main.py - train - 88 - train epoch0 step:128/2688 loss0.005396 2022-11-10 23:43:04,503 - INFO - main.py - train - 88 - train epoch0 step:129/2688 loss0.013137 2022-11-10 23:43:04,826 - INFO - main.py - train - 88 - train epoch0 step:130/2688 loss0.005979 2022-11-10 23:43:05,157 - INFO - main.py - train - 88 - train epoch0 step:131/2688 loss0.007407 2022-11-10 23:43:05,489 - INFO - main.py - train - 88 - train epoch0 step:132/2688 loss0.005427 2022-11-10 23:43:05,818 - INFO - main.py - train - 88 - train epoch0 step:133/2688 loss0.007785 2022-11-10 23:43:06,034 - INFO - main.py - train - 88 - train epoch0 step:134/2688 loss0.003861 2022-11-10 23:43:06,378 - INFO - main.py - train - 88 - train epoch0 step:135/2688 loss0.004993 2022-11-10 23:43:06,711 - INFO - main.py - train - 88 - train epoch0 step:136/2688 loss0.002826 2022-11-10 23:43:07,040 - INFO - main.py - train - 88 - train epoch0 step:137/2688 loss1.407439 2022-11-10 23:43:07,365 - INFO - main.py - train - 88 - train epoch0 step:138/2688 loss1.766741 2022-11-10 23:43:07,696 - INFO - main.py - train - 88 - train epoch0 step:139/2688 loss0.006852 2022-11-10 23:43:08,023 - INFO - main.py - train - 88 - train epoch0 step:140/2688 loss1.894526 2022-11-10 23:43:08,362 - INFO - main.py - train - 88 - train epoch0 step:141/2688 loss0.014511 2022-11-10 23:43:08,696 - INFO - main.py - train - 88 - train epoch0 step:142/2688 loss2.159206 2022-11-10 23:43:09,027 - INFO - main.py - train - 88 - train epoch0 step:143/2688 loss0.025878 2022-11-10 23:43:09,360 - INFO - main.py - train - 88 - train epoch0 step:144/2688 loss0.253670 2022-11-10 23:43:09,698 - INFO - main.py - train - 88 - train epoch0 step:145/2688 loss0.061386 2022-11-10 23:43:10,029 - INFO - main.py - train - 88 - train epoch0 step:146/2688 loss0.067491 2022-11-10 23:43:10,364 - INFO - main.py - train - 88 - train epoch0 step:147/2688 loss0.093158 2022-11-10 23:43:10,693 - INFO - main.py - train - 88 - train epoch0 step:148/2688 loss0.093446 2022-11-10 23:43:11,028 - INFO - main.py - train - 88 - train epoch0 step:149/2688 loss0.053746 2022-11-10 23:43:11,354 - INFO - main.py - train - 88 - train epoch0 step:150/2688 loss0.112572 2022-11-10 23:43:11,561 - INFO - main.py - train - 88 - train epoch0 step:151/2688 loss0.091916 2022-11-10 23:43:11,893 - INFO - main.py - train - 88 - train epoch0 step:152/2688 loss0.257159 2022-11-10 23:43:12,228 - INFO - main.py - train - 88 - train epoch0 step:153/2688 loss0.063097 2022-11-10 23:43:12,556 - INFO - main.py - train - 88 - train epoch0 step:154/2688 loss1.249035 2022-11-10 23:43:12,887 - INFO - main.py - train - 88 - train epoch0 step:155/2688 loss0.038674 2022-11-10 23:43:13,221 - INFO - main.py - train - 88 - train epoch0 step:156/2688 loss0.085432 2022-11-10 23:43:13,558 - INFO - main.py - train - 88 - train epoch0 step:157/2688 loss0.091594 2022-11-10 23:43:13,901 - INFO - main.py - train - 88 - train epoch0 step:158/2688 loss0.098570 2022-11-10 23:43:14,237 - INFO - main.py - train - 88 - train epoch0 step:159/2688 loss0.988921 2022-11-10 23:43:14,571 - INFO - main.py - train - 88 - train epoch0 step:160/2688 loss1.095011 2022-11-10 23:43:14,904 - INFO - main.py - train - 88 - train epoch0 step:161/2688 loss0.076085 2022-11-10 23:43:15,230 - INFO - main.py - train - 88 - train epoch0 step:162/2688 loss0.089826 2022-11-10 23:43:15,562 - INFO - main.py - train - 88 - train epoch0 step:163/2688 loss0.214435 2022-11-10 23:43:15,905 - INFO - main.py - train - 88 - train epoch0 step:164/2688 loss0.528373 2022-11-10 23:43:16,233 - INFO - main.py - train - 88 - train epoch0 step:165/2688 loss0.280828 2022-11-10 23:43:16,563 - INFO - main.py - train - 88 - train epoch0 step:166/2688 loss0.087634 2022-11-10 23:43:16,892 - INFO - main.py - train - 88 - train epoch0 step:167/2688 loss0.135352 2022-11-10 23:43:17,222 - INFO - main.py - train - 88 - train epoch0 step:168/2688 loss0.631675 2022-11-10 23:43:17,557 - INFO - main.py - train - 88 - train epoch0 step:169/2688 loss0.227698 2022-11-10 23:43:17,888 - INFO - main.py - train - 88 - train epoch0 step:170/2688 loss0.393284 2022-11-10 23:43:18,220 - INFO - main.py - train - 88 - train epoch0 step:171/2688 loss0.121538 2022-11-10 23:43:18,563 - INFO - main.py - train - 88 - train epoch0 step:172/2688 loss0.072137 2022-11-10 23:43:18,899 - INFO - main.py - train - 88 - train epoch0 step:173/2688 loss0.036847 2022-11-10 23:43:19,228 - INFO - main.py - train - 88 - train epoch0 step:174/2688 loss0.032087 2022-11-10 23:43:19,569 - INFO - main.py - train - 88 - train epoch0 step:175/2688 loss0.015717 2022-11-10 23:43:19,893 - INFO - main.py - train - 88 - train epoch0 step:176/2688 loss0.482004 2022-11-10 23:43:20,225 - INFO - main.py - train - 88 - train epoch0 step:177/2688 loss1.158147 2022-11-10 23:43:20,564 - INFO - main.py - train - 88 - train epoch0 step:178/2688 loss0.020228 2022-11-10 23:43:20,897 - INFO - main.py - train - 88 - train epoch0 step:179/2688 loss0.033312 2022-11-10 23:43:21,235 - INFO - main.py - train - 88 - train epoch0 step:180/2688 loss0.020832 2022-11-10 23:43:21,561 - INFO - main.py - train - 88 - train epoch0 step:181/2688 loss0.091294 2022-11-10 23:43:21,895 - INFO - main.py - train - 88 - train epoch0 step:182/2688 loss0.591359 2022-11-10 23:43:22,225 - INFO - main.py - train - 88 - train epoch0 step:183/2688 loss0.023986 2022-11-10 23:43:22,551 - INFO - main.py - train - 88 - train epoch0 step:184/2688 loss0.085160 2022-11-10 23:43:22,880 - INFO - main.py - train - 88 - train epoch0 step:185/2688 loss0.129040 2022-11-10 23:43:23,215 - INFO - main.py - train - 88 - train epoch0 step:186/2688 loss0.298356 2022-11-10 23:43:23,552 - INFO - main.py - train - 88 - train epoch0 step:187/2688 loss0.046033 2022-11-10 23:43:23,884 - INFO - main.py - train - 88 - train epoch0 step:188/2688 loss0.016503 2022-11-10 23:43:24,217 - INFO - main.py - train - 88 - train epoch0 step:189/2688 loss0.047064 2022-11-10 23:43:24,545 - INFO - main.py - train - 88 - train epoch0 step:190/2688 loss0.024465 2022-11-10 23:43:24,881 - INFO - main.py - train - 88 - train epoch0 step:191/2688 loss0.041162 2022-11-10 23:43:25,212 - INFO - main.py - train - 88 - train epoch0 step:192/2688 loss0.036800 2022-11-10 23:43:25,553 - INFO - main.py - train - 88 - train epoch0 step:193/2688 loss0.035416 2022-11-10 23:43:25,882 - INFO - main.py - train - 88 - train epoch0 step:194/2688 loss0.028579 2022-11-10 23:43:26,223 - INFO - main.py - train - 88 - train epoch0 step:195/2688 loss0.012169 2022-11-10 23:43:26,555 - INFO - main.py - train - 88 - train epoch0 step:196/2688 loss0.015942 2022-11-10 23:43:26,891 - INFO - main.py - train - 88 - train epoch0 step:197/2688 loss0.037254 2022-11-10 23:43:27,224 - INFO - main.py - train - 88 - train epoch0 step:198/2688 loss0.010609 2022-11-10 23:43:27,559 - INFO - main.py - train - 88 - train epoch0 step:199/2688 loss0.011020 2022-11-10 23:43:27,884 - INFO - main.py - train - 88 - train epoch0 step:200/2688 loss0.002532 2022-11-10 23:43:28,211 - INFO - main.py - train - 88 - train epoch0 step:201/2688 loss0.027680 2022-11-10 23:43:28,547 - INFO - main.py - train - 88 - train epoch0 step:202/2688 loss0.004560 2022-11-10 23:43:28,886 - INFO - main.py - train - 88 - train epoch0 step:203/2688 loss0.796982 2022-11-10 23:43:29,224 - INFO - main.py - train - 88 - train epoch0 step:204/2688 loss0.008622 2022-11-10 23:43:29,553 - INFO - main.py - train - 88 - train epoch0 step:205/2688 loss0.003542 2022-11-10 23:43:29,882 - INFO - main.py - train - 88 - train epoch0 step:206/2688 loss0.010381 2022-11-10 23:43:30,228 - INFO - main.py - train - 88 - train epoch0 step:207/2688 loss0.031889 2022-11-10 23:43:30,570 - INFO - main.py - train - 88 - train epoch0 step:208/2688 loss0.208544 2022-11-10 23:43:30,898 - INFO - main.py - train - 88 - train epoch0 step:209/2688 loss0.015490 2022-11-10 23:43:31,232 - INFO - main.py - train - 88 - train epoch0 step:210/2688 loss0.011979 2022-11-10 23:43:31,562 - INFO - main.py - train - 88 - train epoch0 step:211/2688 loss0.015585 2022-11-10 23:43:31,906 - INFO - main.py - train - 88 - train epoch0 step:212/2688 loss0.016168 2022-11-10 23:43:32,237 - INFO - main.py - train - 88 - train epoch0 step:213/2688 loss0.009844 2022-11-10 23:43:32,580 - INFO - main.py - train - 88 - train epoch0 step:214/2688 loss0.036334 2022-11-10 23:43:32,921 - INFO - main.py - train - 88 - train epoch0 step:215/2688 loss0.087360 2022-11-10 23:43:33,252 - INFO - main.py - train - 88 - train epoch0 step:216/2688 loss0.048759 2022-11-10 23:43:33,595 - INFO - main.py - train - 88 - train epoch0 step:217/2688 loss0.019913 2022-11-10 23:43:33,931 - INFO - main.py - train - 88 - train epoch0 step:218/2688 loss0.004822 2022-11-10 23:43:34,265 - INFO - main.py - train - 88 - train epoch0 step:219/2688 loss0.074628 2022-11-10 23:43:34,594 - INFO - main.py - train - 88 - train epoch0 step:220/2688 loss0.059844 2022-11-10 23:43:34,929 - INFO - main.py - train - 88 - train epoch0 step:221/2688 loss0.027297 2022-11-10 23:43:35,267 - INFO - main.py - train - 88 - train epoch0 step:222/2688 loss0.004288 2022-11-10 23:43:35,599 - INFO - main.py - train - 88 - train epoch0 step:223/2688 loss0.025521 2022-11-10 23:43:35,939 - INFO - main.py - train - 88 - train epoch0 step:224/2688 loss0.003239 2022-11-10 23:43:36,271 - INFO - main.py - train - 88 - train epoch0 step:225/2688 loss0.003322 2022-11-10 23:43:36,609 - INFO - main.py - train - 88 - train epoch0 step:226/2688 loss0.006306 2022-11-10 23:43:36,947 - INFO - main.py - train - 88 - train epoch0 step:227/2688 loss0.018402 2022-11-10 23:43:37,283 - INFO - main.py - train - 88 - train epoch0 step:228/2688 loss0.003291 2022-11-10 23:43:37,619 - INFO - main.py - train - 88 - train epoch0 step:229/2688 loss0.549904 2022-11-10 23:43:37,947 - INFO - main.py - train - 88 - train epoch0 step:230/2688 loss0.006846 2022-11-10 23:43:38,283 - INFO - main.py - train - 88 - train epoch0 step:231/2688 loss0.004560 2022-11-10 23:43:38,612 - INFO - main.py - train - 88 - train epoch0 step:232/2688 loss0.013681 2022-11-10 23:43:38,952 - INFO - main.py - train - 88 - train epoch0 step:233/2688 loss0.012699 2022-11-10 23:43:39,287 - INFO - main.py - train - 88 - train epoch0 step:234/2688 loss0.007482 2022-11-10 23:43:39,627 - INFO - main.py - train - 88 - train epoch0 step:235/2688 loss0.015700 2022-11-10 23:43:39,845 - INFO - main.py - train - 88 - train epoch0 step:236/2688 loss0.008847 2022-11-10 23:43:40,178 - INFO - main.py - train - 88 - train epoch0 step:237/2688 loss0.382613 2022-11-10 23:43:40,511 - INFO - main.py - train - 88 - train epoch0 step:238/2688 loss1.883562 2022-11-10 23:43:40,841 - INFO - main.py - train - 88 - train epoch0 step:239/2688 loss0.001580 2022-11-10 23:43:41,176 - INFO - main.py - train - 88 - train epoch0 step:240/2688 loss0.003220 2022-11-10 23:43:41,509 - INFO - main.py - train - 88 - train epoch0 step:241/2688 loss0.013407 2022-11-10 23:43:41,838 - INFO - main.py - train - 88 - train epoch0 step:242/2688 loss2.334862 2022-11-10 23:43:42,166 - INFO - main.py - train - 88 - train epoch0 step:243/2688 loss0.212771 2022-11-10 23:43:42,501 - INFO - main.py - train - 88 - train epoch0 step:244/2688 loss0.029304 2022-11-10 23:43:42,831 - INFO - main.py - train - 88 - train epoch0 step:245/2688 loss0.005368 2022-11-10 23:43:43,168 - INFO - main.py - train - 88 - train epoch0 step:246/2688 loss0.267961 2022-11-10 23:43:43,378 - INFO - main.py - train - 88 - train epoch0 step:247/2688 loss0.006857 2022-11-10 23:43:43,712 - INFO - main.py - train - 88 - train epoch0 step:248/2688 loss0.015825 2022-11-10 23:43:44,049 - INFO - main.py - train - 88 - train epoch0 step:249/2688 loss0.008790 2022-11-10 23:43:44,382 - INFO - main.py - train - 88 - train epoch0 step:250/2688 loss3.199830 2022-11-10 23:43:44,721 - INFO - main.py - train - 88 - train epoch0 step:251/2688 loss0.015067 2022-11-10 23:43:45,057 - INFO - main.py - train - 88 - train epoch0 step:252/2688 loss0.049639 2022-11-10 23:43:45,393 - INFO - main.py - train - 88 - train epoch0 step:253/2688 loss0.033379 2022-11-10 23:43:45,734 - INFO - main.py - train - 88 - train epoch0 step:254/2688 loss0.039297 2022-11-10 23:43:46,076 - INFO - main.py - train - 88 - train epoch0 step:255/2688 loss0.032410 2022-11-10 23:43:46,406 - INFO - main.py - train - 88 - train epoch0 step:256/2688 loss0.079567 2022-11-10 23:43:46,741 - INFO - main.py - train - 88 - train epoch0 step:257/2688 loss0.100658 2022-11-10 23:43:47,078 - INFO - main.py - train - 88 - train epoch0 step:258/2688 loss0.821999 2022-11-10 23:43:47,408 - INFO - main.py - train - 88 - train epoch0 step:259/2688 loss0.074997 2022-11-10 23:43:47,741 - INFO - main.py - train - 88 - train epoch0 step:260/2688 loss0.016723 2022-11-10 23:43:48,080 - INFO - main.py - train - 88 - train epoch0 step:261/2688 loss0.068749 2022-11-10 23:43:48,287 - INFO - main.py - train - 88 - train epoch0 step:262/2688 loss0.012841 2022-11-10 23:43:48,621 - INFO - main.py - train - 88 - train epoch0 step:263/2688 loss0.045659 2022-11-10 23:43:48,956 - INFO - main.py - train - 88 - train epoch0 step:264/2688 loss0.048292 2022-11-10 23:43:49,291 - INFO - main.py - train - 88 - train epoch0 step:265/2688 loss0.327623 2022-11-10 23:43:49,619 - INFO - main.py - train - 88 - train epoch0 step:266/2688 loss0.462866 2022-11-10 23:43:49,953 - INFO - main.py - train - 88 - train epoch0 step:267/2688 loss0.031255 2022-11-10 23:43:50,291 - INFO - main.py - train - 88 - train epoch0 step:268/2688 loss0.043363 2022-11-10 23:43:50,622 - INFO - main.py - train - 88 - train epoch0 step:269/2688 loss0.439195 2022-11-10 23:43:50,963 - INFO - main.py - train - 88 - train epoch0 step:270/2688 loss0.145571 2022-11-10 23:43:51,296 - INFO - main.py - train - 88 - train epoch0 step:271/2688 loss0.040463 2022-11-10 23:43:51,624 - INFO - main.py - train - 88 - train epoch0 step:272/2688 loss0.983633 2022-11-10 23:43:51,960 - INFO - main.py - train - 88 - train epoch0 step:273/2688 loss0.024104 2022-11-10 23:43:52,298 - INFO - main.py - train - 88 - train epoch0 step:274/2688 loss0.194675 2022-11-10 23:43:52,635 - INFO - main.py - train - 88 - train epoch0 step:275/2688 loss0.021055 2022-11-10 23:43:52,969 - INFO - main.py - train - 88 - train epoch0 step:276/2688 loss0.036767 2022-11-10 23:43:53,309 - INFO - main.py - train - 88 - train epoch0 step:277/2688 loss0.047978 2022-11-10 23:43:53,643 - INFO - main.py - train - 88 - train epoch0 step:278/2688 loss0.012217 2022-11-10 23:43:53,974 - INFO - main.py - train - 88 - train epoch0 step:279/2688 loss1.451632 2022-11-10 23:43:54,305 - INFO - main.py - train - 88 - train epoch0 step:280/2688 loss0.011821 2022-11-10 23:43:54,519 - INFO - main.py - train - 88 - train epoch0 step:281/2688 loss0.014727 2022-11-11 10:30:29,892 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-11-11 10:30:30,211 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-11-11 10:30:30,534 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-11-11 10:30:30,869 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-11-11 10:30:31,189 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-11-11 10:30:31,516 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-11-11 10:30:31,853 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-11-11 10:30:32,180 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-11-11 10:30:32,503 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-11-11 10:30:32,825 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-11-11 10:30:33,154 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-11-11 10:30:33,476 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-11-11 10:30:33,793 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-11-11 10:30:34,120 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-11-11 10:30:34,329 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-11-11 10:30:34,661 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-11-11 10:30:34,871 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-11-11 10:30:35,203 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-11-11 10:30:35,537 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-11-11 10:30:35,861 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-11-11 10:30:36,183 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-12-01 20:29:21,640 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482 2022-12-01 20:29:21,952 - INFO - main.py - train - 88 - train epoch0 step:1/2688 loss1.499144 2022-12-01 20:29:22,265 - INFO - main.py - train - 88 - train epoch0 step:2/2688 loss1.123996 2022-12-01 20:29:22,608 - INFO - main.py - train - 88 - train epoch0 step:3/2688 loss0.625085 2022-12-01 20:29:22,921 - INFO - main.py - train - 88 - train epoch0 step:4/2688 loss1.164915 2022-12-01 20:29:23,233 - INFO - main.py - train - 88 - train epoch0 step:5/2688 loss0.201317 2022-12-01 20:29:23,561 - INFO - main.py - train - 88 - train epoch0 step:6/2688 loss0.209974 2022-12-01 20:29:23,889 - INFO - main.py - train - 88 - train epoch0 step:7/2688 loss0.069630 2022-12-01 20:29:24,202 - INFO - main.py - train - 88 - train epoch0 step:8/2688 loss0.066316 2022-12-01 20:29:24,530 - INFO - main.py - train - 88 - train epoch0 step:9/2688 loss0.030863 2022-12-01 20:29:24,858 - INFO - main.py - train - 88 - train epoch0 step:10/2688 loss0.035351 2022-12-01 20:29:25,170 - INFO - main.py - train - 88 - train epoch0 step:11/2688 loss0.016563 2022-12-01 20:29:25,498 - INFO - main.py - train - 88 - train epoch0 step:12/2688 loss0.019172 2022-12-01 20:29:25,826 - INFO - main.py - train - 88 - train epoch0 step:13/2688 loss0.016066 2022-12-01 20:29:26,030 - INFO - main.py - train - 88 - train epoch0 step:14/2688 loss0.011039 2022-12-01 20:29:26,358 - INFO - main.py - train - 88 - train epoch0 step:15/2688 loss0.007865 2022-12-01 20:29:26,561 - INFO - main.py - train - 88 - train epoch0 step:16/2688 loss0.003502 2022-12-01 20:29:26,889 - INFO - main.py - train - 88 - train epoch0 step:17/2688 loss0.009001 2022-12-01 20:29:27,217 - INFO - main.py - train - 88 - train epoch0 step:18/2688 loss0.005158 2022-12-01 20:29:27,545 - INFO - main.py - train - 88 - train epoch0 step:19/2688 loss0.003290 2022-12-01 20:29:27,873 - INFO - main.py - train - 88 - train epoch0 step:20/2688 loss0.003202 2022-12-01 20:29:28,185 - INFO - main.py - train - 88 - train epoch0 step:21/2688 loss0.005262 2022-12-01 20:29:28,513 - INFO - main.py - train - 88 - train epoch0 step:22/2688 loss0.003604 2022-12-01 20:29:28,841 - INFO - main.py - train - 88 - train epoch0 step:23/2688 loss0.003385 2022-12-01 20:29:29,169 - INFO - main.py - train - 88 - train epoch0 step:24/2688 loss0.001615 2022-12-01 20:29:29,497 - INFO - main.py - train - 88 - train epoch0 step:25/2688 loss0.003858 2022-12-01 20:29:29,810 - INFO - main.py - train - 88 - train epoch0 step:26/2688 loss0.003558 2022-12-01 20:29:30,138 - INFO - main.py - train - 88 - train epoch0 step:27/2688 loss0.001739 2022-12-01 20:29:30,482 - INFO - main.py - train - 88 - train epoch0 step:28/2688 loss4.105797 2022-12-01 20:29:30,794 - INFO - main.py - train - 88 - train epoch0 step:29/2688 loss0.005065 2022-12-01 20:29:31,122 - INFO - main.py - train - 88 - train epoch0 step:30/2688 loss0.003172 2022-12-01 20:29:31,450 - INFO - main.py - train - 88 - train epoch0 step:31/2688 loss0.003677 2022-12-01 20:29:31,778 - INFO - main.py - train - 88 - train epoch0 step:32/2688 loss3.325720 2022-12-01 20:29:32,091 - INFO - main.py - train - 88 - train epoch0 step:33/2688 loss3.143489 2022-12-01 20:29:32,419 - INFO - main.py - train - 88 - train epoch0 step:34/2688 loss0.008313 2022-12-01 20:29:32,747 - INFO - main.py - train - 88 - train epoch0 step:35/2688 loss0.007896 2022-12-01 20:29:33,075 - INFO - main.py - train - 88 - train epoch0 step:36/2688 loss0.013320 2022-12-01 20:29:33,403 - INFO - main.py - train - 88 - train epoch0 step:37/2688 loss0.022339 2022-12-01 20:29:33,606 - INFO - main.py - train - 88 - train epoch0 step:38/2688 loss0.051035 2022-12-01 20:29:33,934 - INFO - main.py - train - 88 - train epoch0 step:39/2688 loss0.036786 2022-12-01 20:29:34,262 - INFO - main.py - train - 88 - train epoch0 step:40/2688 loss0.093870 2022-12-01 20:29:34,590 - INFO - main.py - train - 88 - train epoch0 step:41/2688 loss0.106166 2022-12-01 20:29:34,918 - INFO - main.py - train - 88 - train epoch0 step:42/2688 loss0.078973 2022-12-01 20:29:35,246 - INFO - main.py - train - 88 - train epoch0 step:43/2688 loss0.079709 2022-12-01 20:29:35,590 - INFO - main.py - train - 88 - train epoch0 step:44/2688 loss0.065056 2022-12-01 20:29:35,918 - INFO - main.py - train - 88 - train epoch0 step:45/2688 loss0.028478 2022-12-01 20:29:36,230 - INFO - main.py - train - 88 - train epoch0 step:46/2688 loss0.040557 2022-12-01 20:29:36,558 - INFO - main.py - train - 88 - train epoch0 step:47/2688 loss0.044330 2022-12-01 20:29:36,886 - INFO - main.py - train - 88 - train epoch0 step:48/2688 loss0.042373 2022-12-01 20:29:37,214 - INFO - main.py - train - 88 - train epoch0 step:49/2688 loss0.033207 2022-12-01 20:29:37,417 - INFO - main.py - train - 88 - train epoch0 step:50/2688 loss0.029671 2022-12-01 20:29:37,730 - INFO - main.py - train - 88 - train epoch0 step:51/2688 loss2.401934 2022-12-01 20:29:38,058 - INFO - main.py - train - 88 - train epoch0 step:52/2688 loss1.383365 2022-12-01 20:29:38,402 - INFO - main.py - train - 88 - train epoch0 step:53/2688 loss0.064671 2022-12-01 20:29:38,714 - INFO - main.py - train - 88 - train epoch0 step:54/2688 loss1.728102 2022-12-01 20:29:39,042 - INFO - main.py - train - 88 - train epoch0 step:55/2688 loss0.073153 2022-12-01 20:29:39,386 - INFO - main.py - train - 88 - train epoch0 step:56/2688 loss0.921958 2022-12-01 20:29:39,698 - INFO - main.py - train - 88 - train epoch0 step:57/2688 loss0.241711 2022-12-01 20:29:40,042 - INFO - main.py - train - 88 - train epoch0 step:58/2688 loss3.817934 2022-12-01 20:29:40,370 - INFO - main.py - train - 88 - train epoch0 step:59/2688 loss0.831552 2022-12-01 20:29:40,698 - INFO - main.py - train - 88 - train epoch0 step:60/2688 loss0.653378 2022-12-01 20:29:41,042 - INFO - main.py - train - 88 - train epoch0 step:61/2688 loss1.165219 2022-12-01 20:29:41,370 - INFO - main.py - train - 88 - train epoch0 step:62/2688 loss0.423998 2022-12-01 20:29:41,698 - INFO - main.py - train - 88 - train epoch0 step:63/2688 loss0.529469 2022-12-10 16:57:38,631 - INFO - main.py - train - 88 - train epoch0 step:0/2688 loss1.694482