main.log 1.1 MB

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  1. 2021-08-04 15:30:03,470 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 3007 examples to features
  2. 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-0 ***
  3. 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 ) , � � $ 张 玉 良 $ , 字 世 秀 , 江 � 扬 州 人 。 [SEP]
  4. 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]
  5. 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]
  6. 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]
  7. 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 95 - labels: 9
  8. 2021-08-04 15:30:03,471 - INFO - preprocess.py - convert_bert_example - 96 - ids:[1, 5, 37, 41]
  9. 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-1 ***
  10. 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 阮 � 玉 [UNK] # , 安 义 贞 丽 公 主 , � $ 黎 文 燕 $ 。 [SEP]
  11. 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]
  12. 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]
  13. 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]
  14. 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 95 - labels: 1
  15. 2021-08-04 15:30:03,472 - INFO - preprocess.py - convert_bert_example - 96 - ids:[1, 6, 16, 20]
  16. 2021-08-04 15:30:03,473 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-2 ***
  17. 2021-08-04 15:30:03,473 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 出 身 贫 寒 的 # � 光 � # 深 � 其 岳 父 $ 陈 嘉 庚 $ 先 生 的 影 � , 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 � � 磨 � 的 贡 献 。 [SEP]
  18. 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]
  19. 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]
  20. 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]
  21. 2021-08-04 15:30:03,474 - INFO - preprocess.py - convert_bert_example - 95 - labels: 13
  22. 2021-08-04 15:30:03,474 - INFO - preprocess.py - convert_bert_example - 96 - ids:[6, 10, 16, 20]
  23. 2021-08-04 15:30:04,996 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 3007 features
  24. 2021-08-04 15:30:05,017 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features
  25. 2021-08-04 15:30:05,017 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-0 ***
  26. 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 � 一 女 , � $ 程 永 光 $ � 程 永 � � 程 永 江 和 程 慧 贞 。 [SEP]
  27. 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]
  28. 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]
  29. 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]
  30. 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  31. 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 96 - ids:[5, 9, 18, 22]
  32. 2021-08-04 15:30:05,018 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-1 ***
  33. 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 � 一 女 , � # 程 永 光 # � 程 永 � � $ 程 永 江 $ 和 程 慧 贞 。 [SEP]
  34. 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]
  35. 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]
  36. 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]
  37. 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3
  38. 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 96 - ids:[16, 20, 26, 30]
  39. 2021-08-04 15:30:05,019 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-2 ***
  40. 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 � � � � 州 , # 刘 表 # 之 � $ 刘 � $ 投 � , 刘 备 领 军 民 � 余 万 � 难 , 于 当 阳 � � 曹 军 追 兵 , 惨 败 。 [SEP]
  41. 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]
  42. 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]
  43. 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]
  44. 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  45. 2021-08-04 15:30:05,020 - INFO - preprocess.py - convert_bert_example - 96 - ids:[8, 11, 14, 17]
  46. 2021-08-04 15:30:05,394 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features
  47. 2021-08-04 15:30:05,445 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features
  48. 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-0 ***
  49. 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 � 一 女 , � $ 程 永 光 $ � 程 永 � � 程 永 江 和 程 慧 贞 。 [SEP]
  50. 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]
  51. 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]
  52. 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]
  53. 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  54. 2021-08-04 15:30:05,446 - INFO - preprocess.py - convert_bert_example - 96 - ids:[5, 9, 18, 22]
  55. 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-1 ***
  56. 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 � 一 女 , � # 程 永 光 # � 程 永 � � $ 程 永 江 $ 和 程 慧 贞 。 [SEP]
  57. 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]
  58. 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]
  59. 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]
  60. 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3
  61. 2021-08-04 15:30:05,447 - INFO - preprocess.py - convert_bert_example - 96 - ids:[16, 20, 26, 30]
  62. 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-2 ***
  63. 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 � � � � 州 , # 刘 表 # 之 � $ 刘 � $ 投 � , 刘 备 领 军 民 � 余 万 � 难 , 于 当 阳 � � 曹 军 追 兵 , 惨 败 。 [SEP]
  64. 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]
  65. 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]
  66. 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]
  67. 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  68. 2021-08-04 15:30:05,448 - INFO - preprocess.py - convert_bert_example - 96 - ids:[8, 11, 14, 17]
  69. 2021-08-04 15:30:05,826 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features
  70. 2021-08-04 15:30:11,073 - INFO - main.py - <module> - 225 - ========进行测试========
  71. 2021-08-04 15:31:11,267 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 3007 examples to features
  72. 2021-08-04 15:31:11,268 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-0 ***
  73. 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 ) , � � $ 张 玉 良 $ , 字 世 秀 , 江 � 扬 州 人 。 [SEP]
  74. 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]
  75. 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]
  76. 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]
  77. 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 95 - labels: 9
  78. 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 96 - ids:[1, 5, 37, 41]
  79. 2021-08-04 15:31:11,269 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-1 ***
  80. 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 阮 � 玉 [UNK] # , 安 义 贞 丽 公 主 , � $ 黎 文 燕 $ 。 [SEP]
  81. 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]
  82. 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]
  83. 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]
  84. 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 95 - labels: 1
  85. 2021-08-04 15:31:11,270 - INFO - preprocess.py - convert_bert_example - 96 - ids:[1, 6, 16, 20]
  86. 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-2 ***
  87. 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 出 身 贫 寒 的 # � 光 � # 深 � 其 岳 父 $ 陈 嘉 庚 $ 先 生 的 影 � , 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 � � 磨 � 的 贡 献 。 [SEP]
  88. 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]
  89. 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]
  90. 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]
  91. 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 95 - labels: 13
  92. 2021-08-04 15:31:11,271 - INFO - preprocess.py - convert_bert_example - 96 - ids:[6, 10, 16, 20]
  93. 2021-08-04 15:31:12,795 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 3007 features
  94. 2021-08-04 15:31:12,816 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features
  95. 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-0 ***
  96. 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 � 一 女 , � $ 程 永 光 $ � 程 永 � � 程 永 江 和 程 慧 贞 。 [SEP]
  97. 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]
  98. 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]
  99. 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]
  100. 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  101. 2021-08-04 15:31:12,817 - INFO - preprocess.py - convert_bert_example - 96 - ids:[5, 9, 18, 22]
  102. 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-1 ***
  103. 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 � 一 女 , � # 程 永 光 # � 程 永 � � $ 程 永 江 $ 和 程 慧 贞 。 [SEP]
  104. 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]
  105. 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]
  106. 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]
  107. 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3
  108. 2021-08-04 15:31:12,818 - INFO - preprocess.py - convert_bert_example - 96 - ids:[16, 20, 26, 30]
  109. 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-2 ***
  110. 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 � � � � 州 , # 刘 表 # 之 � $ 刘 � $ 投 � , 刘 备 领 军 民 � 余 万 � 难 , 于 当 阳 � � 曹 军 追 兵 , 惨 败 。 [SEP]
  111. 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]
  112. 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]
  113. 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]
  114. 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  115. 2021-08-04 15:31:12,819 - INFO - preprocess.py - convert_bert_example - 96 - ids:[8, 11, 14, 17]
  116. 2021-08-04 15:31:13,196 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features
  117. 2021-08-04 15:31:13,247 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features
  118. 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-0 ***
  119. 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 � 一 女 , � $ 程 永 光 $ � 程 永 � � 程 永 江 和 程 慧 贞 。 [SEP]
  120. 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]
  121. 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]
  122. 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]
  123. 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  124. 2021-08-04 15:31:13,248 - INFO - preprocess.py - convert_bert_example - 96 - ids:[5, 9, 18, 22]
  125. 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-1 ***
  126. 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 � 一 女 , � # 程 永 光 # � 程 永 � � $ 程 永 江 $ 和 程 慧 贞 。 [SEP]
  127. 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]
  128. 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]
  129. 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]
  130. 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3
  131. 2021-08-04 15:31:13,249 - INFO - preprocess.py - convert_bert_example - 96 - ids:[16, 20, 26, 30]
  132. 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-2 ***
  133. 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 � � � � 州 , # 刘 表 # 之 � $ 刘 � $ 投 � , 刘 备 领 军 民 � 余 万 � 难 , 于 当 阳 � � 曹 军 追 兵 , 惨 败 。 [SEP]
  134. 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]
  135. 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]
  136. 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]
  137. 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  138. 2021-08-04 15:31:13,250 - INFO - preprocess.py - convert_bert_example - 96 - ids:[8, 11, 14, 17]
  139. 2021-08-04 15:31:13,628 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features
  140. 2021-08-04 15:33:03,482 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 3007 examples to features
  141. 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-0 ***
  142. 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 ) , � � $ 张 玉 良 $ , 字 世 秀 , 江 � 扬 州 人 。 [SEP]
  143. 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]
  144. 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]
  145. 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]
  146. 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 95 - labels: 9
  147. 2021-08-04 15:33:03,483 - INFO - preprocess.py - convert_bert_example - 96 - ids:[1, 5, 37, 41]
  148. 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-1 ***
  149. 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] # 阮 � 玉 [UNK] # , 安 义 贞 丽 公 主 , � $ 黎 文 燕 $ 。 [SEP]
  150. 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]
  151. 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]
  152. 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]
  153. 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 95 - labels: 1
  154. 2021-08-04 15:33:03,484 - INFO - preprocess.py - convert_bert_example - 96 - ids:[1, 6, 16, 20]
  155. 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 90 - *** train_example-2 ***
  156. 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 出 身 贫 寒 的 # � 光 � # 深 � 其 岳 父 $ 陈 嘉 庚 $ 先 生 的 影 � , 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 � � 磨 � 的 贡 献 。 [SEP]
  157. 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]
  158. 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]
  159. 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]
  160. 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 95 - labels: 13
  161. 2021-08-04 15:33:03,485 - INFO - preprocess.py - convert_bert_example - 96 - ids:[6, 10, 16, 20]
  162. 2021-08-04 15:33:05,010 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 3007 features
  163. 2021-08-04 15:33:05,030 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features
  164. 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-0 ***
  165. 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 � 一 女 , � $ 程 永 光 $ � 程 永 � � 程 永 江 和 程 慧 贞 。 [SEP]
  166. 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]
  167. 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]
  168. 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]
  169. 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  170. 2021-08-04 15:33:05,031 - INFO - preprocess.py - convert_bert_example - 96 - ids:[5, 9, 18, 22]
  171. 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-1 ***
  172. 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 � 一 女 , � # 程 永 光 # � 程 永 � � $ 程 永 江 $ 和 程 慧 贞 。 [SEP]
  173. 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]
  174. 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]
  175. 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]
  176. 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3
  177. 2021-08-04 15:33:05,032 - INFO - preprocess.py - convert_bert_example - 96 - ids:[16, 20, 26, 30]
  178. 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 90 - *** dev_example-2 ***
  179. 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 � � � � 州 , # 刘 表 # 之 � $ 刘 � $ 投 � , 刘 备 领 军 民 � 余 万 � 难 , 于 当 阳 � � 曹 军 追 兵 , 惨 败 。 [SEP]
  180. 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]
  181. 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]
  182. 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]
  183. 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  184. 2021-08-04 15:33:05,033 - INFO - preprocess.py - convert_bert_example - 96 - ids:[8, 11, 14, 17]
  185. 2021-08-04 15:33:05,412 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features
  186. 2021-08-04 15:33:05,463 - INFO - preprocess.py - convert_examples_to_features - 114 - Convert 752 examples to features
  187. 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-0 ***
  188. 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 � 一 女 , � $ 程 永 光 $ � 程 永 � � 程 永 江 和 程 慧 贞 。 [SEP]
  189. 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]
  190. 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]
  191. 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]
  192. 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  193. 2021-08-04 15:33:05,464 - INFO - preprocess.py - convert_bert_example - 96 - ids:[5, 9, 18, 22]
  194. 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-1 ***
  195. 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 � 一 女 , � # 程 永 光 # � 程 永 � � $ 程 永 江 $ 和 程 慧 贞 。 [SEP]
  196. 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]
  197. 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]
  198. 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]
  199. 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 95 - labels: 3
  200. 2021-08-04 15:33:05,465 - INFO - preprocess.py - convert_bert_example - 96 - ids:[16, 20, 26, 30]
  201. 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 90 - *** test_example-2 ***
  202. 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 91 - text: [CLS] 曹 � � � � 州 , # 刘 表 # 之 � $ 刘 � $ 投 � , 刘 备 领 军 民 � 余 万 � 难 , 于 当 阳 � � 曹 军 追 兵 , 惨 败 。 [SEP]
  203. 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]
  204. 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]
  205. 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]
  206. 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 95 - labels: 2
  207. 2021-08-04 15:33:05,466 - INFO - preprocess.py - convert_bert_example - 96 - ids:[8, 11, 14, 17]
  208. 2021-08-04 15:33:05,845 - INFO - preprocess.py - convert_examples_to_features - 128 - Build 752 features
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  310. 2021-08-04 15:33:38,619 - INFO - main.py - train - 83 - ------------>�存当�最好的模型
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  411. 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
  412. 2021-08-04 15:34:08,876 - INFO - main.py - train - 83 - ------------>�存当�最好的模型
  413. 2021-08-04 15:34:11,728 - INFO - main.py - train - 75 - �train】 epoch:2 step:200/470 loss:0.268761
  414. 2021-08-04 15:34:11,988 - INFO - main.py - train - 75 - �train】 epoch:2 step:201/470 loss:0.307722
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  513. 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
  514. 2021-08-04 15:34:39,675 - INFO - main.py - train - 83 - ------------>�存当�最好的模型
  515. 2021-08-04 15:34:42,461 - INFO - main.py - train - 75 - �train】 epoch:3 step:300/470 loss:0.241401
  516. 2021-08-04 15:34:42,723 - INFO - main.py - train - 75 - �train】 epoch:3 step:301/470 loss:0.141174
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  615. 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
  616. 2021-08-04 15:35:11,670 - INFO - main.py - train - 83 - ------------>�存当�最好的模型
  617. 2021-08-04 15:35:14,292 - INFO - main.py - train - 75 - �train】 epoch:4 step:400/470 loss:0.167344
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  687. 2021-08-04 15:35:34,074 - INFO - main.py - <module> - 225 - ========进行测试========
  688. 2021-08-04 15:35:36,837 - INFO - main.py - <module> - 230 - �test】 loss:13.144311 accuracy:0.8471 micro_f1:0.8471 macro_f1:0.8480
  689. 2021-08-04 15:35:36,847 - INFO - main.py - <module> - 232 - precision recall f1-score support
  690. unknown 0.78 0.81 0.80 197
  691. 夫妻 0.88 0.84 0.86 69
  692. 父� 0.92 0.90 0.91 132
  693. 兄弟�妹 0.81 0.92 0.86 38
  694. 上下级 0.83 0.62 0.71 32
  695. 师生 0.82 0.86 0.84 42
  696. 好� 0.90 0.75 0.82 24
  697. �学 0.96 0.90 0.93 29
  698. �作 0.83 0.92 0.88 53
  699. �人 0.94 0.87 0.91 39
  700. 情侣 0.95 0.74 0.83 27
  701. 祖孙 0.86 0.86 0.86 22
  702. �门 0.84 0.95 0.89 22
  703. 亲戚 0.71 0.85 0.77 26
  704. accuracy 0.85 752
  705. macro avg 0.86 0.84 0.85 752
  706. weighted avg 0.85 0.85 0.85 752
  707. 2021-08-04 15:55:24,535 - INFO - main.py - <module> - 247 - 时湖�巡#抚骆秉#章命席�田募兵,�元春与长兄�元璋�堂弟�元瑞�率百余人投湘军$席�田$部,�元春被任命为百夫长
  708. 2021-08-04 15:55:25,156 - INFO - main.py - <module> - 251 - ==========================
  709. 2021-08-04 15:55:25,157 - INFO - main.py - <module> - 247 - 时湖�巡抚骆秉章命席�田募兵,�元春与长兄#�元璋#�堂弟�元瑞�率百余人投湘军$席�田$部,�元春被任命为百夫长
  710. 2021-08-04 15:55:25,751 - INFO - main.py - <module> - 251 - ==========================
  711. 2021-08-04 15:55:25,751 - INFO - main.py - <module> - 247 - 1月1日,有法制官方账�在短视频平��露了#��江#之�$�天一$的近况。
  712. 2021-08-04 15:55:26,337 - INFO - main.py - <module> - 251 - ==========================
  713. 2021-08-04 15:55:26,337 - INFO - main.py - <module> - 247 - 幼年家贫,�能�加贵格会的学校,富裕的教师#�宾孙#很喜欢$�尔顿$,�许他阅读自己的书和期刊。
  714. 2021-08-04 15:55:26,922 - INFO - main.py - <module> - 251 - ==========================
  715. 2021-08-04 15:55:26,922 - INFO - main.py - <module> - 247 - 1537年,#亨利八世#和他的第三个王�$简·西摩$生了一个男孩:爱德�(��的爱德�六世)。
  716. 2021-08-04 15:55:27,506 - INFO - main.py - <module> - 251 - ==========================
  717. 2021-08-04 15:55:27,506 - INFO - main.py - <module> - 247 - 1544年,伊丽莎白年迈的父亲#亨利#最终娶了在宫廷任�的$凯瑟�·帕尔$为他的第六任妻�。
  718. 2021-08-04 15:55:28,090 - INFO - main.py - <module> - 251 - ==========================
  719. 2021-08-04 15:55:55,893 - INFO - main.py - <module> - 247 - 时湖�巡#抚骆秉#章命席�田募兵,�元春与长兄�元璋�堂弟�元瑞�率百余人投湘军$席�田$部,�元春被任命为百夫长
  720. 2021-08-04 15:56:30,282 - INFO - main.py - <module> - 247 - 时湖�巡#抚骆秉#章命席�田募兵,�元春与长兄�元璋�堂弟�元瑞�率百余人投湘军$席�田$部,�元春被任命为百夫长
  721. 2021-08-04 15:56:30,891 - INFO - main.py - <module> - 249 - 预测标签:unknown
  722. 2021-08-04 15:56:30,891 - INFO - main.py - <module> - 250 - 真实标签:unknown
  723. 2021-08-04 15:56:30,891 - INFO - main.py - <module> - 251 - ==========================
  724. 2021-08-04 15:56:30,891 - INFO - main.py - <module> - 247 - 时湖�巡抚骆秉章命席�田募兵,�元春与长兄#�元璋#�堂弟�元瑞�率百余人投湘军$席�田$部,�元春被任命为百夫长
  725. 2021-08-04 15:56:31,480 - INFO - main.py - <module> - 249 - 预测标签:上下级
  726. 2021-08-04 15:56:31,480 - INFO - main.py - <module> - 250 - 真实标签:上下级
  727. 2021-08-04 15:56:31,480 - INFO - main.py - <module> - 251 - ==========================
  728. 2021-08-04 15:56:31,480 - INFO - main.py - <module> - 247 - 1月1日,有法制官方账�在短视频平��露了#��江#之�$�天一$的近况。
  729. 2021-08-04 15:56:32,063 - INFO - main.py - <module> - 249 - 预测标签:父�
  730. 2021-08-04 15:56:32,063 - INFO - main.py - <module> - 250 - 真实标签:父�
  731. 2021-08-04 15:56:32,063 - INFO - main.py - <module> - 251 - ==========================
  732. 2021-08-04 15:56:32,063 - INFO - main.py - <module> - 247 - 幼年家贫,�能�加贵格会的学校,富裕的教师#�宾孙#很喜欢$�尔顿$,�许他阅读自己的书和期刊。
  733. 2021-08-04 15:56:32,644 - INFO - main.py - <module> - 249 - 预测标签:unknown
  734. 2021-08-04 15:56:32,644 - INFO - main.py - <module> - 250 - 真实标签:师生
  735. 2021-08-04 15:56:32,644 - INFO - main.py - <module> - 251 - ==========================
  736. 2021-08-04 15:56:32,644 - INFO - main.py - <module> - 247 - 1537年,#亨利八世#和他的第三个王�$简·西摩$生了一个男孩:爱德�(��的爱德�六世)。
  737. 2021-08-04 15:56:33,229 - INFO - main.py - <module> - 249 - 预测标签:夫妻
  738. 2021-08-04 15:56:33,229 - INFO - main.py - <module> - 250 - 真实标签:夫妻
  739. 2021-08-04 15:56:33,229 - INFO - main.py - <module> - 251 - ==========================
  740. 2021-08-04 15:56:33,229 - INFO - main.py - <module> - 247 - 1544年,伊丽莎白年迈的父亲#亨利#最终娶了在宫廷任�的$凯瑟�·帕尔$为他的第六任妻�。
  741. 2021-08-04 15:56:33,811 - INFO - main.py - <module> - 249 - 预测标签:夫妻
  742. 2021-08-04 15:56:33,811 - INFO - main.py - <module> - 250 - 真实标签:夫妻
  743. 2021-08-04 15:56:33,811 - INFO - main.py - <module> - 251 - ==========================
  744. 2021-08-21 02:10:26,449 - INFO - main.py - train - 77 - �train】 epoch:0 step:0/53721 loss:4.167432
  745. 2021-08-21 02:10:27,240 - INFO - main.py - train - 77 - �train】 epoch:0 step:1/53721 loss:3.472704
  746. 2021-08-21 02:10:27,640 - INFO - main.py - train - 77 - �train】 epoch:0 step:2/53721 loss:3.891881
  747. 2021-08-21 02:10:28,054 - INFO - main.py - train - 77 - �train】 epoch:0 step:3/53721 loss:3.659402
  748. 2021-08-21 02:10:28,455 - INFO - main.py - train - 77 - �train】 epoch:0 step:4/53721 loss:3.900054
  749. 2021-08-21 02:10:28,863 - INFO - main.py - train - 77 - �train】 epoch:0 step:5/53721 loss:3.446762
  750. 2021-08-21 02:10:29,270 - INFO - main.py - train - 77 - �train】 epoch:0 step:6/53721 loss:4.032391
  751. 2021-08-21 02:10:29,674 - INFO - main.py - train - 77 - �train】 epoch:0 step:7/53721 loss:3.308468
  752. 2021-08-21 02:10:30,081 - INFO - main.py - train - 77 - �train】 epoch:0 step:8/53721 loss:3.933271
  753. 2021-08-21 02:10:30,486 - INFO - main.py - train - 77 - �train】 epoch:0 step:9/53721 loss:3.584045
  754. 2021-08-21 02:10:30,893 - INFO - main.py - train - 77 - �train】 epoch:0 step:10/53721 loss:3.873143
  755. 2021-08-21 02:10:31,302 - INFO - main.py - train - 77 - �train】 epoch:0 step:11/53721 loss:3.648583
  756. 2021-08-21 02:10:31,705 - INFO - main.py - train - 77 - �train】 epoch:0 step:12/53721 loss:3.200859
  757. 2021-08-21 02:10:32,110 - INFO - main.py - train - 77 - �train】 epoch:0 step:13/53721 loss:3.198226
  758. 2021-08-21 02:10:32,519 - INFO - main.py - train - 77 - �train】 epoch:0 step:14/53721 loss:3.665469
  759. 2021-08-21 02:10:32,925 - INFO - main.py - train - 77 - �train】 epoch:0 step:15/53721 loss:3.597754
  760. 2021-08-21 02:10:33,332 - INFO - main.py - train - 77 - �train】 epoch:0 step:16/53721 loss:3.163974
  761. 2021-08-21 02:10:33,739 - INFO - main.py - train - 77 - �train】 epoch:0 step:17/53721 loss:3.073202
  762. 2021-08-21 02:10:34,144 - INFO - main.py - train - 77 - �train】 epoch:0 step:18/53721 loss:4.057916
  763. 2021-08-21 02:10:34,553 - INFO - main.py - train - 77 - �train】 epoch:0 step:19/53721 loss:4.125847
  764. 2021-08-21 02:10:34,962 - INFO - main.py - train - 77 - �train】 epoch:0 step:20/53721 loss:3.628746
  765. 2021-08-21 02:10:35,374 - INFO - main.py - train - 77 - �train】 epoch:0 step:21/53721 loss:3.691664
  766. 2021-08-21 02:10:35,782 - INFO - main.py - train - 77 - �train】 epoch:0 step:22/53721 loss:2.902236
  767. 2021-08-21 02:10:36,190 - INFO - main.py - train - 77 - �train】 epoch:0 step:23/53721 loss:2.852787
  768. 2021-08-21 02:10:36,596 - INFO - main.py - train - 77 - �train】 epoch:0 step:24/53721 loss:3.637309
  769. 2021-08-21 02:10:37,002 - INFO - main.py - train - 77 - �train】 epoch:0 step:25/53721 loss:3.316630
  770. 2021-08-21 02:10:37,407 - INFO - main.py - train - 77 - �train】 epoch:0 step:26/53721 loss:4.124469
  771. 2021-08-21 02:10:37,814 - INFO - main.py - train - 77 - �train】 epoch:0 step:27/53721 loss:3.624541
  772. 2021-08-21 02:10:38,221 - INFO - main.py - train - 77 - �train】 epoch:0 step:28/53721 loss:3.859495
  773. 2021-08-21 02:10:38,628 - INFO - main.py - train - 77 - �train】 epoch:0 step:29/53721 loss:3.468969
  774. 2021-08-21 02:10:39,040 - INFO - main.py - train - 77 - �train】 epoch:0 step:30/53721 loss:2.908794
  775. 2021-08-21 02:10:39,452 - INFO - main.py - train - 77 - �train】 epoch:0 step:31/53721 loss:2.932784
  776. 2021-08-21 02:10:39,871 - INFO - main.py - train - 77 - �train】 epoch:0 step:32/53721 loss:2.873758
  777. 2021-08-21 02:10:40,293 - INFO - main.py - train - 77 - �train】 epoch:0 step:33/53721 loss:2.594962
  778. 2021-08-21 02:10:40,700 - INFO - main.py - train - 77 - �train】 epoch:0 step:34/53721 loss:2.821710
  779. 2021-08-21 02:10:41,109 - INFO - main.py - train - 77 - �train】 epoch:0 step:35/53721 loss:2.652449
  780. 2021-08-21 02:10:41,520 - INFO - main.py - train - 77 - �train】 epoch:0 step:36/53721 loss:2.752363
  781. 2021-08-21 02:10:41,927 - INFO - main.py - train - 77 - �train】 epoch:0 step:37/53721 loss:2.642614
  782. 2021-08-21 02:10:42,337 - INFO - main.py - train - 77 - �train】 epoch:0 step:38/53721 loss:3.370191
  783. 2021-08-21 02:10:42,750 - INFO - main.py - train - 77 - �train】 epoch:0 step:39/53721 loss:2.990853
  784. 2021-08-21 02:10:43,161 - INFO - main.py - train - 77 - �train】 epoch:0 step:40/53721 loss:1.678525
  785. 2021-08-21 02:10:43,571 - INFO - main.py - train - 77 - �train】 epoch:0 step:41/53721 loss:1.350827
  786. 2021-08-21 02:10:43,979 - INFO - main.py - train - 77 - �train】 epoch:0 step:42/53721 loss:2.850718
  787. 2021-08-21 02:10:44,395 - INFO - main.py - train - 77 - �train】 epoch:0 step:43/53721 loss:2.858949
  788. 2021-08-21 02:10:44,810 - INFO - main.py - train - 77 - �train】 epoch:0 step:44/53721 loss:3.216372
  789. 2021-08-21 02:10:45,222 - INFO - main.py - train - 77 - �train】 epoch:0 step:45/53721 loss:3.210772
  790. 2021-08-21 02:10:45,638 - INFO - main.py - train - 77 - �train】 epoch:0 step:46/53721 loss:3.480130
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  792. 2021-08-21 02:12:32,578 - INFO - main.py - train - 77 - �train】 epoch:0 step:0/53721 loss:4.167432
  793. 2021-08-21 02:12:32,986 - INFO - main.py - train - 77 - �train】 epoch:0 step:1/53721 loss:3.472704
  794. 2021-08-21 02:12:33,398 - INFO - main.py - train - 77 - �train】 epoch:0 step:2/53721 loss:3.891881
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  803. 2021-08-21 02:12:37,112 - INFO - main.py - train - 77 - �train】 epoch:0 step:11/53721 loss:3.648583
  804. 2021-08-21 02:12:37,525 - INFO - main.py - train - 77 - �train】 epoch:0 step:12/53721 loss:3.200859
  805. 2021-08-21 02:12:37,938 - INFO - main.py - train - 77 - �train】 epoch:0 step:13/53721 loss:3.198226
  806. 2021-08-21 02:12:38,356 - INFO - main.py - train - 77 - �train】 epoch:0 step:14/53721 loss:3.665469
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  808. 2021-08-21 02:12:39,188 - INFO - main.py - train - 77 - �train】 epoch:0 step:16/53721 loss:3.163974
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  810. 2021-08-21 02:12:40,021 - INFO - main.py - train - 77 - �train】 epoch:0 step:18/53721 loss:4.057916
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  814. 2021-08-21 02:12:41,685 - INFO - main.py - train - 77 - �train】 epoch:0 step:22/53721 loss:2.902236
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  2966. 2021-08-22 02:58:42,683 - INFO - main.py - train - 74 - �train】 epoch:0 step:1002/26861 loss:0.203334
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  3125. 2021-08-22 03:02:58,647 - INFO - main.py - train - 74 - �train】 epoch:0 step:1161/26861 loss:1.346935
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  3443. 2021-08-22 03:11:29,969 - INFO - main.py - train - 74 - �train】 epoch:0 step:1479/26861 loss:0.077408
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  3921. 2021-08-22 03:24:19,735 - INFO - main.py - train - 74 - �train】 epoch:0 step:1957/26861 loss:0.041979
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  4082. 2021-08-22 03:28:38,716 - INFO - main.py - train - 74 - �train】 epoch:0 step:2118/26861 loss:0.408770
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  4241. 2021-08-22 03:32:54,613 - INFO - main.py - train - 74 - �train】 epoch:0 step:2277/26861 loss:0.395494
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  4245. 2021-08-22 03:33:01,057 - INFO - main.py - train - 74 - �train】 epoch:0 step:2281/26861 loss:0.152068
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  4282. 2021-08-22 03:34:00,539 - INFO - main.py - train - 74 - �train】 epoch:0 step:2318/26861 loss:0.612581
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  4400. 2021-08-22 03:37:10,310 - INFO - main.py - train - 74 - �train】 epoch:0 step:2436/26861 loss:0.076882
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  4559. 2021-08-22 03:41:26,094 - INFO - main.py - train - 74 - �train】 epoch:0 step:2595/26861 loss:0.347135
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  4718. 2021-08-22 03:45:42,017 - INFO - main.py - train - 74 - �train】 epoch:0 step:2754/26861 loss:0.110866
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  4751. 2021-08-22 03:46:35,228 - INFO - main.py - train - 74 - �train】 epoch:0 step:2787/26861 loss:0.303372
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  4877. 2021-08-22 03:49:58,021 - INFO - main.py - train - 74 - �train】 epoch:0 step:2913/26861 loss:0.109265
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  5036. 2021-08-22 03:54:13,665 - INFO - main.py - train - 74 - �train】 epoch:0 step:3072/26861 loss:0.054984
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  5195. 2021-08-22 03:58:30,039 - INFO - main.py - train - 74 - �train】 epoch:0 step:3231/26861 loss:0.363003
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  5354. 2021-08-22 04:02:46,020 - INFO - main.py - train - 74 - �train】 epoch:0 step:3390/26861 loss:0.329790
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  5672. 2021-08-22 04:11:18,585 - INFO - main.py - train - 74 - �train】 epoch:0 step:3708/26861 loss:0.230263
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  5674. 2021-08-22 04:11:21,799 - INFO - main.py - train - 74 - �train】 epoch:0 step:3710/26861 loss:0.136158
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  5831. 2021-08-22 04:15:34,620 - INFO - main.py - train - 74 - �train】 epoch:0 step:3867/26861 loss:0.015456
  5832. 2021-08-22 04:15:36,217 - INFO - main.py - train - 74 - �train】 epoch:0 step:3868/26861 loss:0.237101
  5833. 2021-08-22 04:15:37,820 - INFO - main.py - train - 74 - �train】 epoch:0 step:3869/26861 loss:0.159013
  5834. 2021-08-22 04:15:39,431 - INFO - main.py - train - 74 - �train】 epoch:0 step:3870/26861 loss:0.698613
  5835. 2021-08-22 04:15:41,037 - INFO - main.py - train - 74 - �train】 epoch:0 step:3871/26861 loss:0.520095
  5836. 2021-08-22 04:15:42,655 - INFO - main.py - train - 74 - �train】 epoch:0 step:3872/26861 loss:0.367734
  5837. 2021-08-22 04:15:44,275 - INFO - main.py - train - 74 - �train】 epoch:0 step:3873/26861 loss:0.212479
  5838. 2021-08-22 04:15:45,909 - INFO - main.py - train - 74 - �train】 epoch:0 step:3874/26861 loss:0.027522
  5839. 2021-08-22 04:15:47,523 - INFO - main.py - train - 74 - �train】 epoch:0 step:3875/26861 loss:0.020996
  5840. 2021-08-22 04:15:49,126 - INFO - main.py - train - 74 - �train】 epoch:0 step:3876/26861 loss:0.154420
  5841. 2021-08-22 04:15:50,717 - INFO - main.py - train - 74 - �train】 epoch:0 step:3877/26861 loss:0.036465
  5842. 2021-08-22 04:15:52,316 - INFO - main.py - train - 74 - �train】 epoch:0 step:3878/26861 loss:0.881914
  5843. 2021-08-22 04:15:53,922 - INFO - main.py - train - 74 - �train】 epoch:0 step:3879/26861 loss:0.477978
  5844. 2021-08-22 04:15:55,555 - INFO - main.py - train - 74 - �train】 epoch:0 step:3880/26861 loss:1.429285
  5845. 2021-08-22 04:15:57,184 - INFO - main.py - train - 74 - �train】 epoch:0 step:3881/26861 loss:1.453932
  5846. 2021-08-22 04:15:58,829 - INFO - main.py - train - 74 - �train】 epoch:0 step:3882/26861 loss:0.125658
  5847. 2021-08-22 04:16:00,467 - INFO - main.py - train - 74 - �train】 epoch:0 step:3883/26861 loss:0.115374
  5848. 2021-08-22 04:16:02,070 - INFO - main.py - train - 74 - �train】 epoch:0 step:3884/26861 loss:0.047163
  5849. 2021-08-22 04:16:03,678 - INFO - main.py - train - 74 - �train】 epoch:0 step:3885/26861 loss:0.032477
  5850. 2021-08-22 04:16:05,285 - INFO - main.py - train - 74 - �train】 epoch:0 step:3886/26861 loss:0.562484
  5851. 2021-08-22 04:16:06,890 - INFO - main.py - train - 74 - �train】 epoch:0 step:3887/26861 loss:0.358717
  5852. 2021-08-22 04:16:08,493 - INFO - main.py - train - 74 - �train】 epoch:0 step:3888/26861 loss:0.299890
  5853. 2021-08-22 04:16:10,095 - INFO - main.py - train - 74 - �train】 epoch:0 step:3889/26861 loss:0.321265
  5854. 2021-08-22 04:16:11,706 - INFO - main.py - train - 74 - �train】 epoch:0 step:3890/26861 loss:1.328114
  5855. 2021-08-22 04:16:13,309 - INFO - main.py - train - 74 - �train】 epoch:0 step:3891/26861 loss:1.042601
  5856. 2021-08-22 04:16:14,928 - INFO - main.py - train - 74 - �train】 epoch:0 step:3892/26861 loss:0.254564
  5857. 2021-08-22 04:16:16,538 - INFO - main.py - train - 74 - �train】 epoch:0 step:3893/26861 loss:0.142581
  5858. 2021-08-22 04:16:18,142 - INFO - main.py - train - 74 - �train】 epoch:0 step:3894/26861 loss:0.035529
  5859. 2021-08-22 04:16:19,750 - INFO - main.py - train - 74 - �train】 epoch:0 step:3895/26861 loss:0.017812
  5860. 2021-08-22 04:16:21,346 - INFO - main.py - train - 74 - �train】 epoch:0 step:3896/26861 loss:0.199667
  5861. 2021-08-22 04:16:22,953 - INFO - main.py - train - 74 - �train】 epoch:0 step:3897/26861 loss:0.253120
  5862. 2021-08-22 04:16:24,552 - INFO - main.py - train - 74 - �train】 epoch:0 step:3898/26861 loss:0.742849
  5863. 2021-08-22 04:16:26,164 - INFO - main.py - train - 74 - �train】 epoch:0 step:3899/26861 loss:0.705016
  5864. 2021-08-22 04:16:27,772 - INFO - main.py - train - 74 - �train】 epoch:0 step:3900/26861 loss:0.557687
  5865. 2021-08-22 04:16:29,380 - INFO - main.py - train - 74 - �train】 epoch:0 step:3901/26861 loss:0.168373
  5866. 2021-08-22 04:16:30,979 - INFO - main.py - train - 74 - �train】 epoch:0 step:3902/26861 loss:1.487367
  5867. 2021-08-22 04:16:32,581 - INFO - main.py - train - 74 - �train】 epoch:0 step:3903/26861 loss:1.051306
  5868. 2021-08-22 04:16:34,194 - INFO - main.py - train - 74 - �train】 epoch:0 step:3904/26861 loss:0.279776
  5869. 2021-08-22 04:16:35,799 - INFO - main.py - train - 74 - �train】 epoch:0 step:3905/26861 loss:0.352980
  5870. 2021-08-22 04:16:37,423 - INFO - main.py - train - 74 - �train】 epoch:0 step:3906/26861 loss:0.015336
  5871. 2021-08-22 04:16:39,046 - INFO - main.py - train - 74 - �train】 epoch:0 step:3907/26861 loss:0.017318
  5872. 2021-08-22 04:16:40,666 - INFO - main.py - train - 74 - �train】 epoch:0 step:3908/26861 loss:0.018427
  5873. 2021-08-22 04:16:42,283 - INFO - main.py - train - 74 - �train】 epoch:0 step:3909/26861 loss:0.013512
  5874. 2021-08-22 04:16:43,886 - INFO - main.py - train - 74 - �train】 epoch:0 step:3910/26861 loss:0.158767
  5875. 2021-08-22 04:16:45,488 - INFO - main.py - train - 74 - �train】 epoch:0 step:3911/26861 loss:0.099645
  5876. 2021-08-22 04:16:47,090 - INFO - main.py - train - 74 - �train】 epoch:0 step:3912/26861 loss:0.745446
  5877. 2021-08-22 04:16:48,689 - INFO - main.py - train - 74 - �train】 epoch:0 step:3913/26861 loss:0.465071
  5878. 2021-08-22 04:16:50,286 - INFO - main.py - train - 74 - �train】 epoch:0 step:3914/26861 loss:0.880944
  5879. 2021-08-22 04:16:51,887 - INFO - main.py - train - 74 - �train】 epoch:0 step:3915/26861 loss:0.773551
  5880. 2021-08-22 04:16:53,491 - INFO - main.py - train - 74 - �train】 epoch:0 step:3916/26861 loss:0.027302
  5881. 2021-08-22 04:16:55,099 - INFO - main.py - train - 74 - �train】 epoch:0 step:3917/26861 loss:0.045612
  5882. 2021-08-22 04:16:56,691 - INFO - main.py - train - 74 - �train】 epoch:0 step:3918/26861 loss:0.472356
  5883. 2021-08-22 04:16:58,290 - INFO - main.py - train - 74 - �train】 epoch:0 step:3919/26861 loss:0.334585
  5884. 2021-08-22 04:16:59,898 - INFO - main.py - train - 74 - �train】 epoch:0 step:3920/26861 loss:0.319156
  5885. 2021-08-22 04:17:01,513 - INFO - main.py - train - 74 - �train】 epoch:0 step:3921/26861 loss:0.124064
  5886. 2021-08-22 04:17:03,132 - INFO - main.py - train - 74 - �train】 epoch:0 step:3922/26861 loss:0.085102
  5887. 2021-08-22 04:17:04,753 - INFO - main.py - train - 74 - �train】 epoch:0 step:3923/26861 loss:0.070908
  5888. 2021-08-22 04:17:06,369 - INFO - main.py - train - 74 - �train】 epoch:0 step:3924/26861 loss:0.059479
  5889. 2021-08-22 04:17:07,981 - INFO - main.py - train - 74 - �train】 epoch:0 step:3925/26861 loss:0.053914
  5890. 2021-08-22 04:17:09,593 - INFO - main.py - train - 74 - �train】 epoch:0 step:3926/26861 loss:0.248661
  5891. 2021-08-22 04:17:11,203 - INFO - main.py - train - 74 - �train】 epoch:0 step:3927/26861 loss:0.271310
  5892. 2021-08-22 04:17:12,811 - INFO - main.py - train - 74 - �train】 epoch:0 step:3928/26861 loss:0.389587
  5893. 2021-08-22 04:17:14,416 - INFO - main.py - train - 74 - �train】 epoch:0 step:3929/26861 loss:0.250453
  5894. 2021-08-22 04:17:16,021 - INFO - main.py - train - 74 - �train】 epoch:0 step:3930/26861 loss:0.168435
  5895. 2021-08-22 04:17:17,629 - INFO - main.py - train - 74 - �train】 epoch:0 step:3931/26861 loss:0.205179
  5896. 2021-08-22 04:17:19,248 - INFO - main.py - train - 74 - �train】 epoch:0 step:3932/26861 loss:0.027356
  5897. 2021-08-22 04:17:20,865 - INFO - main.py - train - 74 - �train】 epoch:0 step:3933/26861 loss:0.034155
  5898. 2021-08-22 04:17:22,474 - INFO - main.py - train - 74 - �train】 epoch:0 step:3934/26861 loss:0.619335
  5899. 2021-08-22 04:17:24,083 - INFO - main.py - train - 74 - �train】 epoch:0 step:3935/26861 loss:0.623105
  5900. 2021-08-22 04:17:25,703 - INFO - main.py - train - 74 - �train】 epoch:0 step:3936/26861 loss:0.240625
  5901. 2021-08-22 04:17:27,316 - INFO - main.py - train - 74 - �train】 epoch:0 step:3937/26861 loss:0.323595
  5902. 2021-08-22 04:17:28,940 - INFO - main.py - train - 74 - �train】 epoch:0 step:3938/26861 loss:0.329272
  5903. 2021-08-22 04:17:30,560 - INFO - main.py - train - 74 - �train】 epoch:0 step:3939/26861 loss:0.199634
  5904. 2021-08-22 04:17:32,178 - INFO - main.py - train - 74 - �train】 epoch:0 step:3940/26861 loss:0.754520
  5905. 2021-08-22 04:17:33,782 - INFO - main.py - train - 74 - �train】 epoch:0 step:3941/26861 loss:0.114671
  5906. 2021-08-22 04:17:35,398 - INFO - main.py - train - 74 - �train】 epoch:0 step:3942/26861 loss:0.537805
  5907. 2021-08-22 04:17:36,999 - INFO - main.py - train - 74 - �train】 epoch:0 step:3943/26861 loss:0.419389
  5908. 2021-08-22 04:17:38,609 - INFO - main.py - train - 74 - �train】 epoch:0 step:3944/26861 loss:0.904950
  5909. 2021-08-22 04:17:40,219 - INFO - main.py - train - 74 - �train】 epoch:0 step:3945/26861 loss:0.499132
  5910. 2021-08-22 04:17:41,827 - INFO - main.py - train - 74 - �train】 epoch:0 step:3946/26861 loss:0.667298
  5911. 2021-08-22 04:17:43,435 - INFO - main.py - train - 74 - �train】 epoch:0 step:3947/26861 loss:0.483733
  5912. 2021-08-22 04:17:45,032 - INFO - main.py - train - 74 - �train】 epoch:0 step:3948/26861 loss:0.456571
  5913. 2021-08-22 04:17:46,639 - INFO - main.py - train - 74 - �train】 epoch:0 step:3949/26861 loss:0.428534
  5914. 2021-08-22 04:17:48,236 - INFO - main.py - train - 74 - �train】 epoch:0 step:3950/26861 loss:0.350940
  5915. 2021-08-22 04:17:49,844 - INFO - main.py - train - 74 - �train】 epoch:0 step:3951/26861 loss:0.248702
  5916. 2021-08-22 04:17:51,451 - INFO - main.py - train - 74 - �train】 epoch:0 step:3952/26861 loss:0.103317
  5917. 2021-08-22 04:17:53,056 - INFO - main.py - train - 74 - �train】 epoch:0 step:3953/26861 loss:0.027138
  5918. 2021-08-22 04:17:54,669 - INFO - main.py - train - 74 - �train】 epoch:0 step:3954/26861 loss:0.057975
  5919. 2021-08-22 04:17:56,276 - INFO - main.py - train - 74 - �train】 epoch:0 step:3955/26861 loss:0.069867
  5920. 2021-08-22 04:17:57,889 - INFO - main.py - train - 74 - �train】 epoch:0 step:3956/26861 loss:0.545741
  5921. 2021-08-22 04:17:59,502 - INFO - main.py - train - 74 - �train】 epoch:0 step:3957/26861 loss:0.358960
  5922. 2021-08-22 04:18:01,127 - INFO - main.py - train - 74 - �train】 epoch:0 step:3958/26861 loss:0.102437
  5923. 2021-08-22 04:18:02,758 - INFO - main.py - train - 74 - �train】 epoch:0 step:3959/26861 loss:0.059286
  5924. 2021-08-22 04:18:04,364 - INFO - main.py - train - 74 - �train】 epoch:0 step:3960/26861 loss:0.186650
  5925. 2021-08-22 04:18:05,976 - INFO - main.py - train - 74 - �train】 epoch:0 step:3961/26861 loss:0.168310
  5926. 2021-08-22 04:18:07,585 - INFO - main.py - train - 74 - �train】 epoch:0 step:3962/26861 loss:0.083979
  5927. 2021-08-22 04:18:09,187 - INFO - main.py - train - 74 - �train】 epoch:0 step:3963/26861 loss:0.047190
  5928. 2021-08-22 04:18:10,790 - INFO - main.py - train - 74 - �train】 epoch:0 step:3964/26861 loss:1.136014
  5929. 2021-08-22 04:18:12,393 - INFO - main.py - train - 74 - �train】 epoch:0 step:3965/26861 loss:1.010951
  5930. 2021-08-22 04:18:14,002 - INFO - main.py - train - 74 - �train】 epoch:0 step:3966/26861 loss:0.424645
  5931. 2021-08-22 04:18:15,613 - INFO - main.py - train - 74 - �train】 epoch:0 step:3967/26861 loss:0.373679
  5932. 2021-08-22 04:18:17,223 - INFO - main.py - train - 74 - �train】 epoch:0 step:3968/26861 loss:0.134394
  5933. 2021-08-22 04:18:18,826 - INFO - main.py - train - 74 - �train】 epoch:0 step:3969/26861 loss:0.177930
  5934. 2021-08-22 04:18:20,433 - INFO - main.py - train - 74 - �train】 epoch:0 step:3970/26861 loss:0.046914
  5935. 2021-08-22 04:18:22,045 - INFO - main.py - train - 74 - �train】 epoch:0 step:3971/26861 loss:0.045739
  5936. 2021-08-22 04:18:23,662 - INFO - main.py - train - 74 - �train】 epoch:0 step:3972/26861 loss:0.470711
  5937. 2021-08-22 04:18:25,276 - INFO - main.py - train - 74 - �train】 epoch:0 step:3973/26861 loss:0.475453
  5938. 2021-08-22 04:18:26,904 - INFO - main.py - train - 74 - �train】 epoch:0 step:3974/26861 loss:0.385225
  5939. 2021-08-22 04:18:28,527 - INFO - main.py - train - 74 - �train】 epoch:0 step:3975/26861 loss:0.161844
  5940. 2021-08-22 04:18:30,131 - INFO - main.py - train - 74 - �train】 epoch:0 step:3976/26861 loss:0.212796
  5941. 2021-08-22 04:18:31,736 - INFO - main.py - train - 74 - �train】 epoch:0 step:3977/26861 loss:0.192492
  5942. 2021-08-22 04:18:33,363 - INFO - main.py - train - 74 - �train】 epoch:0 step:3978/26861 loss:0.202770
  5943. 2021-08-22 04:18:34,995 - INFO - main.py - train - 74 - �train】 epoch:0 step:3979/26861 loss:0.287302
  5944. 2021-08-22 04:18:36,597 - INFO - main.py - train - 74 - �train】 epoch:0 step:3980/26861 loss:0.400032
  5945. 2021-08-22 04:18:38,197 - INFO - main.py - train - 74 - �train】 epoch:0 step:3981/26861 loss:0.285903
  5946. 2021-08-22 04:18:39,810 - INFO - main.py - train - 74 - �train】 epoch:0 step:3982/26861 loss:0.073814
  5947. 2021-08-22 04:18:41,417 - INFO - main.py - train - 74 - �train】 epoch:0 step:3983/26861 loss:0.075435
  5948. 2021-08-22 04:18:43,020 - INFO - main.py - train - 74 - �train】 epoch:0 step:3984/26861 loss:0.839736
  5949. 2021-08-22 04:18:44,636 - INFO - main.py - train - 74 - �train】 epoch:0 step:3985/26861 loss:0.584294
  5950. 2021-08-22 04:18:46,243 - INFO - main.py - train - 74 - �train】 epoch:0 step:3986/26861 loss:0.741937
  5951. 2021-08-22 04:18:47,834 - INFO - main.py - train - 74 - �train】 epoch:0 step:3987/26861 loss:0.635299
  5952. 2021-08-22 04:18:49,476 - INFO - main.py - train - 74 - �train】 epoch:0 step:3988/26861 loss:0.205378
  5953. 2021-08-22 04:18:51,116 - INFO - main.py - train - 74 - �train】 epoch:0 step:3989/26861 loss:0.182487
  5954. 2021-08-22 04:18:52,737 - INFO - main.py - train - 74 - �train】 epoch:0 step:3990/26861 loss:0.647827
  5955. 2021-08-22 04:18:54,361 - INFO - main.py - train - 74 - �train】 epoch:0 step:3991/26861 loss:0.552789
  5956. 2021-08-22 04:18:55,971 - INFO - main.py - train - 74 - �train】 epoch:0 step:3992/26861 loss:0.083389
  5957. 2021-08-22 04:18:57,579 - INFO - main.py - train - 74 - �train】 epoch:0 step:3993/26861 loss:0.100935
  5958. 2021-08-22 04:18:59,202 - INFO - main.py - train - 74 - �train】 epoch:0 step:3994/26861 loss:0.023438
  5959. 2021-08-22 04:19:00,823 - INFO - main.py - train - 74 - �train】 epoch:0 step:3995/26861 loss:0.012721
  5960. 2021-08-22 04:19:02,436 - INFO - main.py - train - 74 - �train】 epoch:0 step:3996/26861 loss:0.025500
  5961. 2021-08-22 04:19:04,051 - INFO - main.py - train - 74 - �train】 epoch:0 step:3997/26861 loss:0.024358
  5962. 2021-08-22 04:19:05,663 - INFO - main.py - train - 74 - �train】 epoch:0 step:3998/26861 loss:0.713473
  5963. 2021-08-22 04:19:07,270 - INFO - main.py - train - 74 - �train】 epoch:0 step:3999/26861 loss:0.467008
  5964. 2021-08-22 05:03:45,200 - INFO - main.py - <module> - 242 - ========进行测试========
  5965. 2021-08-22 05:06:16,556 - INFO - main.py - <module> - 242 - ========进行测试========
  5966. 2021-08-22 05:22:50,141 - INFO - main.py - <module> - 247 - �test】 loss:631.809930 accuracy:0.8841 micro_f1:0.8841 macro_f1:0.8720
  5967. 2021-08-22 05:22:50,292 - INFO - main.py - <module> - 249 - precision recall f1-score support
  5968. 歌手 0.83 0.82 0.83 3961
  5969. 代言人 0.98 1.00 0.99 920
  5970. 作曲 0.55 0.71 0.62 1647
  5971. 父亲 0.92 0.64 0.76 3036
  5972. �地�积 0.93 0.93 0.93 90
  5973. 注册资本 1.00 1.00 1.00 116
  5974. 所属专辑 0.96 0.96 0.96 1063
  5975. 所在城市 0.95 0.98 0.97 128
  5976. 首都 1.00 1.00 1.00 82
  5977. 毕业院校 1.00 0.99 1.00 1184
  5978. 饰演 0.94 0.95 0.95 1420
  5979. 祖� 0.99 0.93 0.96 206
  5980. 上映时间 0.96 1.00 0.98 886
  5981. 主角 0.86 0.67 0.75 350
  5982. � 0.70 0.98 0.82 258
  5983. 简称 1.00 0.99 0.99 588
  5984. æ ¡é•¿ 0.97 1.00 0.98 414
  5985. 丈夫 0.64 0.92 0.76 2866
  5986. 国� 0.99 0.98 0.98 2030
  5987. 导演 0.88 0.95 0.91 2957
  5988. 主题曲 0.97 0.95 0.96 486
  5989. 专业代� 0.00 0.00 0.00 2
  5990. 妻� 0.81 0.91 0.86 2869
  5991. 官方语言 1.00 1.00 1.00 24
  5992. �立日期 1.00 1.00 1.00 2082
  5993. �音 0.99 0.95 0.97 586
  5994. 邮政编� 1.00 1.00 1.00 2
  5995. æµ·æ‹” 1.00 1.00 1.00 54
  5996. 作� 0.82 0.52 0.63 1669
  5997. 创始人 0.84 0.86 0.85 308
  5998. 主�人 0.86 0.89 0.87 696
  5999. �亲 0.98 0.52 0.68 1661
  6000. 人�数� 1.00 0.94 0.97 64
  6001. 修业年� 0.00 0.00 0.00 2
  6002. 制片人 0.79 0.70 0.74 248
  6003. 编剧 0.82 0.56 0.67 902
  6004. 气候 1.00 0.98 0.99 104
  6005. 改编自 0.95 0.98 0.96 108
  6006. 票房 1.00 1.00 1.00 296
  6007. 主演 0.96 0.96 0.96 7056
  6008. �积 0.92 0.92 0.92 76
  6009. 出�公� 0.98 0.98 0.98 1056
  6010. �代 0.96 0.99 0.97 1026
  6011. 董事长 0.98 0.94 0.96 1220
  6012. 作者 0.93 0.96 0.94 4260
  6013. 嘉宾 0.77 0.87 0.82 922
  6014. 获奖 1.00 1.00 1.00 584
  6015. 总部地点 1.00 0.99 0.99 408
  6016. accuracy 0.88 52973
  6017. macro avg 0.88 0.87 0.87 52973
  6018. weighted avg 0.89 0.88 0.88 52973
  6019. 2021-08-22 05:30:52,230 - INFO - main.py - <module> - 263 - 《步步惊心》改编自著�作家��的��清穿�说《甄嬛传》改编自�潋紫所著的���说电视剧《#何以笙箫默#》改编自$顾漫$���说《花�骨》改编自fresh果果���说《裸婚时代》是月影兰�创作的一部情感�说《��榜》是根�海宴��网络�说改编电视剧《宫�心玉》,��《宫》《雪豹》,该剧改编自网络�说《特战先驱》《我是特�兵》由红�网络的�说《最�一颗�弹留给我》改编电视剧《���说我爱你》改编自匪我�存���说《���说我爱你》
  6020. 2021-08-22 05:31:03,599 - INFO - main.py - <module> - 265 - 预测标签:作者
  6021. 2021-08-22 05:31:03,599 - INFO - main.py - <module> - 266 - 真实标签:作者
  6022. 2021-08-22 05:31:03,599 - INFO - main.py - <module> - 267 - ==========================
  6023. 2021-08-22 05:31:03,600 - INFO - main.py - <module> - 263 - 《步步惊心》改编自著�作家��的��清穿�说《甄嬛传》改编自�潋紫所著的���说电视剧《何以笙箫默》改编自顾漫���说《花�骨》改编自fresh果果���说《裸婚时代》是月影兰�创作的一部情感�说《��榜》是根�海宴��网络�说改编电视剧《宫�心玉》,��《宫》《雪豹》,该剧改编自网络�说《特战先驱》《#我是特�兵#》由红�网络的�说《$最�一颗�弹留给我$》改编电视剧《���说我爱你》改编自匪我�存���说《���说我爱你》
  6024. 2021-08-22 05:31:04,238 - INFO - main.py - <module> - 265 - 预测标签:改编自
  6025. 2021-08-22 05:31:04,238 - INFO - main.py - <module> - 266 - 真实标签:改编自
  6026. 2021-08-22 05:31:04,239 - INFO - main.py - <module> - 267 - ==========================
  6027. 2021-08-22 05:31:04,239 - INFO - main.py - <module> - 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�于东�欧的内陆国,与罗马尼亚和乌克兰接壤,首都$基希讷乌$
  6028. 2021-08-22 05:31:04,856 - INFO - main.py - <module> - 265 - 预测标签:首都
  6029. 2021-08-22 05:31:04,856 - INFO - main.py - <module> - 266 - 真实标签:首都
  6030. 2021-08-22 05:31:04,856 - INFO - main.py - <module> - 267 - ==========================
  6031. 2021-08-22 05:31:04,857 - INFO - main.py - <module> - 263 - 2月19日,96�的资深演员侯焕玲离世,候婆婆一生未�,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�候婆婆一直说,自己好喜欢电影,好喜欢$周星驰$
  6032. 2021-08-22 05:31:05,494 - INFO - main.py - <module> - 265 - 预测标签:主演
  6033. 2021-08-22 05:31:05,494 - INFO - main.py - <module> - 266 - 真实标签:编剧
  6034. 2021-08-22 05:31:05,495 - INFO - main.py - <module> - 267 - ==========================
  6035. 2021-08-22 05:31:05,495 - INFO - main.py - <module> - 263 - 这件婚事原本与陈$国峻$无关,但陈国峻�“欲求�而无由,夜间乃潜入#天城公主#所居通之
  6036. 2021-08-22 05:31:06,118 - INFO - main.py - <module> - 265 - 预测标签:丈夫
  6037. 2021-08-22 05:31:06,118 - INFO - main.py - <module> - 266 - 真实标签:丈夫
  6038. 2021-08-22 05:31:06,119 - INFO - main.py - <module> - 267 - ==========================
  6039. 2022-11-10 20:54:28,444 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
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  6243. 2022-11-10 20:55:33,281 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
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  6246. 2022-11-10 20:55:34,267 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
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  6249. 2022-11-10 20:55:35,240 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
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  6257. 2022-11-10 20:55:37,860 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  6258. 2022-11-10 20:55:38,188 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
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  6261. 2022-11-10 20:55:39,161 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
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  6263. 2022-11-10 20:55:39,827 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  6264. 2022-11-10 20:55:40,150 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
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  6267. 2022-11-10 20:55:41,142 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
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  6269. 2022-11-10 20:55:41,798 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  6270. 2022-11-10 20:55:42,124 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
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  6273. 2022-11-10 20:55:43,121 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
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  6276. 2022-11-10 20:55:44,000 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
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  6281. 2022-11-10 20:55:45,651 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
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  6289. 2022-11-10 20:55:48,176 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
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  6313. 2022-11-10 20:55:55,985 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
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  6321. 2022-11-10 20:58:47,634 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  6322. 2022-11-10 20:58:47,950 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  6323. 2022-11-10 20:58:48,263 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  6324. 2022-11-10 20:58:48,597 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  6325. 2022-11-10 20:58:48,916 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  6326. 2022-11-10 20:58:49,238 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  6327. 2022-11-10 20:58:49,569 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  6328. 2022-11-10 20:58:49,894 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  6329. 2022-11-10 20:58:50,215 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
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  6331. 2022-11-10 20:58:50,869 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  6332. 2022-11-10 20:58:51,187 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  6333. 2022-11-10 20:58:51,512 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  6334. 2022-11-10 20:58:51,833 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  6335. 2022-11-10 20:58:52,044 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  6336. 2022-11-10 20:58:52,366 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  6337. 2022-11-10 20:58:52,574 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  6338. 2022-11-10 20:58:52,896 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  6339. 2022-11-10 20:58:53,220 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  6340. 2022-11-10 20:58:53,545 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  6341. 2022-11-10 20:58:53,867 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  6342. 2022-11-10 20:58:54,195 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  6343. 2022-11-10 20:58:54,513 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  6344. 2022-11-10 20:58:54,835 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  6345. 2022-11-10 20:58:55,164 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  6346. 2022-11-10 20:58:55,482 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  6347. 2022-11-10 20:58:55,807 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  6348. 2022-11-10 20:58:56,132 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  6349. 2022-11-10 20:58:56,463 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  6350. 2022-11-10 20:58:56,781 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  6351. 2022-11-10 20:58:57,115 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  6352. 2022-11-10 20:58:57,434 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  6353. 2022-11-10 20:58:57,762 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  6354. 2022-11-10 20:58:58,084 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  6355. 2022-11-10 20:58:58,402 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  6356. 2022-11-10 20:58:58,733 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  6357. 2022-11-10 20:58:59,056 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  6358. 2022-11-10 20:58:59,376 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  6359. 2022-11-10 20:58:59,590 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  6360. 2022-11-10 20:58:59,918 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  6361. 2022-11-10 20:59:00,244 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  6362. 2022-11-10 20:59:00,571 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  6363. 2022-11-10 20:59:00,896 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  6364. 2022-11-10 20:59:01,220 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  6365. 2022-11-10 20:59:01,548 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  6366. 2022-11-10 20:59:01,871 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  6367. 2022-11-10 20:59:02,199 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  6368. 2022-11-10 20:59:02,527 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  6369. 2022-11-10 20:59:02,856 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  6370. 2022-11-10 20:59:03,173 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  6371. 2022-11-10 20:59:03,381 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  6372. 2022-11-10 20:59:03,707 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  6373. 2022-11-10 20:59:04,029 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  6374. 2022-11-10 20:59:04,355 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  6375. 2022-11-10 20:59:04,673 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  6376. 2022-11-10 20:59:05,005 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
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  6379. 2022-11-10 20:59:05,976 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  6380. 2022-11-10 20:59:06,300 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  6381. 2022-11-10 20:59:06,625 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
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  6383. 2022-11-10 20:59:07,270 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
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  6402. 2022-11-10 20:59:12,956 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  6403. 2022-11-10 20:59:13,273 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  6404. 2022-11-10 20:59:13,599 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
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  6406. 2022-11-10 20:59:14,262 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  6407. 2022-11-10 20:59:14,588 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
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  6409. 2022-11-10 20:59:15,249 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  6410. 2022-11-10 20:59:15,452 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  6411. 2022-11-10 20:59:15,776 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  6412. 2022-11-10 20:59:16,101 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  6413. 2022-11-10 20:59:16,422 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  6414. 2022-11-10 20:59:16,751 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  6415. 2022-11-10 20:59:17,075 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  6416. 2022-11-10 20:59:17,396 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  6417. 2022-11-10 20:59:17,722 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  6418. 2022-11-10 20:59:18,047 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  6419. 2022-11-10 20:59:18,375 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
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  6422. 2022-11-10 20:59:19,228 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  6423. 2022-11-10 20:59:19,549 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  6424. 2022-11-10 20:59:19,880 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  6425. 2022-11-10 20:59:20,202 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  6426. 2022-11-10 20:59:20,526 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  6427. 2022-11-10 20:59:20,859 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  6428. 2022-11-10 20:59:21,191 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  6429. 2022-11-10 20:59:21,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  6430. 2022-11-10 20:59:21,838 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  6431. 2022-11-10 20:59:22,160 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  6432. 2022-11-10 20:59:22,494 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  6433. 2022-11-10 20:59:22,818 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  6434. 2022-11-10 20:59:23,149 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  6435. 2022-11-10 20:59:23,354 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  6436. 2022-11-10 20:59:23,677 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  6437. 2022-11-10 20:59:24,030 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  6438. 2022-11-10 20:59:24,357 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  6439. 2022-11-10 20:59:24,682 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  6440. 2022-11-10 20:59:25,009 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  6441. 2022-11-10 20:59:25,328 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  6442. 2022-11-10 20:59:25,654 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  6443. 2022-11-10 20:59:25,859 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  6444. 2022-11-10 20:59:26,184 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
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  6447. 2022-11-10 20:59:27,161 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
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  6450. 2022-11-10 20:59:28,147 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  6451. 2022-11-10 20:59:28,476 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  6452. 2022-11-10 20:59:28,801 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  6453. 2022-11-10 20:59:29,124 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  6454. 2022-11-10 20:59:29,444 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  6455. 2022-11-10 20:59:29,651 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  6456. 2022-11-10 20:59:29,978 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  6457. 2022-11-10 20:59:30,304 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  6458. 2022-11-10 20:59:30,633 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  6459. 2022-11-10 20:59:30,967 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  6460. 2022-11-10 20:59:31,289 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  6461. 2022-11-10 20:59:31,610 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  6462. 2022-11-10 20:59:31,942 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  6463. 2022-11-10 20:59:32,266 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  6464. 2022-11-10 20:59:32,589 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  6465. 2022-11-10 20:59:32,915 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  6466. 2022-11-10 20:59:33,240 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
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  6571. 2022-11-10 21:00:07,407 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
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  6582. 2022-11-10 21:00:11,076 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
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  6589. 2022-11-10 21:00:13,261 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
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  6593. 2022-11-10 21:00:14,574 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  6594. 2022-11-10 21:00:14,911 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  6595. 2022-11-10 21:00:15,239 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  6596. 2022-11-10 21:00:15,573 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  6597. 2022-11-10 21:00:15,902 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  6598. 2022-11-10 21:00:16,245 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
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  6603. 2022-11-10 21:04:05,720 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/5376 loss£º2.121091
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  6605. 2022-11-10 21:04:06,129 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/5376 loss£º1.933555
  6606. 2022-11-10 21:04:06,330 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/5376 loss£º1.263676
  6607. 2022-11-10 21:04:06,532 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/5376 loss£º0.655170
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  6615. 2022-11-10 21:04:08,167 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/5376 loss£º0.024479
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  6619. 2022-11-10 21:04:08,998 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/5376 loss£º0.010015
  6620. 2022-11-10 21:04:09,199 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/5376 loss£º0.020938
  6621. 2022-11-10 21:04:09,400 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/5376 loss£º0.026271
  6622. 2022-11-10 21:04:09,602 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/5376 loss£º0.023948
  6623. 2022-11-10 21:04:09,808 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/5376 loss£º0.016802
  6624. 2022-11-10 21:04:10,014 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/5376 loss£º0.007378
  6625. 2022-11-10 21:04:10,217 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/5376 loss£º0.008738
  6626. 2022-11-10 21:04:10,421 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/5376 loss£º0.023336
  6627. 2022-11-10 21:04:10,622 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/5376 loss£º0.021215
  6628. 2022-11-10 21:04:10,831 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/5376 loss£º0.006310
  6629. 2022-11-10 21:04:11,038 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/5376 loss£º0.007583
  6630. 2022-11-10 21:04:11,243 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/5376 loss£º0.027602
  6631. 2022-11-10 21:04:38,770 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/1344 loss£º1.626580
  6632. 2022-11-10 21:05:03,720 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  6633. 2022-11-10 21:05:04,043 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  6634. 2022-11-10 21:05:04,363 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  6635. 2022-11-10 21:05:04,692 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  6636. 2022-11-10 21:05:05,012 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  6637. 2022-11-10 21:05:05,329 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  6638. 2022-11-10 21:05:05,655 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  6639. 2022-11-10 21:05:05,974 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  6640. 2022-11-10 21:05:06,299 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  6641. 2022-11-10 21:05:06,618 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  6642. 2022-11-10 21:05:06,946 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  6643. 2022-11-10 21:05:07,257 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  6644. 2022-11-10 21:05:07,569 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  6645. 2022-11-10 21:05:07,897 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  6646. 2022-11-10 21:05:08,106 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  6647. 2022-11-10 21:05:08,427 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  6648. 2022-11-10 21:05:08,633 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  6649. 2022-11-10 21:05:08,957 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  6650. 2022-11-10 21:05:09,277 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  6651. 2022-11-10 21:05:09,604 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  6652. 2022-11-10 21:05:09,922 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  6653. 2022-11-10 21:05:10,250 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  6654. 2022-11-10 21:05:10,571 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  6655. 2022-11-10 21:05:10,901 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  6656. 2022-11-10 21:05:11,223 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  6657. 2022-11-10 21:05:11,547 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  6658. 2022-11-10 21:05:11,873 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  6659. 2022-11-10 21:05:12,187 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  6660. 2022-11-10 21:05:12,518 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  6661. 2022-11-10 21:05:12,848 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  6662. 2022-11-10 21:05:13,171 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  6663. 2022-11-10 21:05:13,488 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  6664. 2022-11-10 21:05:13,812 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  6665. 2022-11-10 21:05:14,143 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  6666. 2022-11-10 21:05:14,464 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  6667. 2022-11-10 21:05:14,786 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  6668. 2022-11-10 21:05:15,116 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  6669. 2022-11-10 21:05:15,433 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  6670. 2022-11-10 21:05:15,647 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  6671. 2022-11-10 21:05:15,983 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  6672. 2022-11-10 21:05:16,310 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  6673. 2022-11-10 21:05:16,646 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  6674. 2022-11-10 21:05:16,977 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  6675. 2022-11-10 21:05:17,316 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  6676. 2022-11-10 21:05:17,647 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  6677. 2022-11-10 21:05:17,975 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  6678. 2022-11-10 21:05:18,309 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  6679. 2022-11-10 21:05:18,637 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  6680. 2022-11-10 21:05:18,964 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  6681. 2022-11-10 21:05:19,292 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  6682. 2022-11-10 21:05:19,498 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  6683. 2022-11-10 21:05:19,828 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  6684. 2022-11-10 21:05:20,149 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  6685. 2022-11-10 21:05:20,478 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  6686. 2022-11-10 21:05:20,800 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  6687. 2022-11-10 21:05:21,119 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  6688. 2022-11-10 21:05:21,445 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  6689. 2022-11-10 21:05:21,768 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  6690. 2022-11-10 21:05:22,095 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  6691. 2022-11-10 21:05:22,412 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  6692. 2022-11-10 21:05:22,750 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  6693. 2022-11-10 21:05:23,075 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  6694. 2022-11-10 21:05:23,392 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  6695. 2022-11-10 21:05:23,715 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  6696. 2022-11-10 21:05:24,044 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  6697. 2022-11-10 21:05:24,368 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  6698. 2022-11-10 21:05:24,575 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  6699. 2022-11-10 21:05:24,902 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  6700. 2022-11-10 21:05:25,224 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  6701. 2022-11-10 21:05:25,431 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  6702. 2022-11-10 21:05:25,759 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  6703. 2022-11-10 21:05:26,086 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  6704. 2022-11-10 21:05:26,302 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  6705. 2022-11-10 21:05:26,511 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  6706. 2022-11-10 21:05:26,845 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  6707. 2022-11-10 21:05:27,164 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  6708. 2022-11-10 21:05:27,489 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  6709. 2022-11-10 21:05:27,817 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  6710. 2022-11-10 21:05:28,137 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  6711. 2022-11-10 21:05:28,463 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  6712. 2022-11-10 21:05:28,786 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  6713. 2022-11-10 21:05:29,105 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  6714. 2022-11-10 21:05:29,431 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  6715. 2022-11-10 21:05:29,763 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  6716. 2022-11-10 21:05:30,085 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  6717. 2022-11-10 21:05:30,414 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  6718. 2022-11-10 21:05:30,742 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  6719. 2022-11-10 21:05:31,068 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  6720. 2022-11-10 21:05:31,394 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  6721. 2022-11-10 21:05:31,603 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  6722. 2022-11-10 21:05:31,935 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  6723. 2022-11-10 21:05:32,257 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  6724. 2022-11-10 21:05:32,582 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  6725. 2022-11-10 21:05:32,911 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  6726. 2022-11-10 21:05:33,232 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  6727. 2022-11-10 21:05:33,551 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  6728. 2022-11-10 21:05:33,881 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  6729. 2022-11-10 21:05:34,203 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  6730. 2022-11-10 21:05:34,530 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  6731. 2022-11-10 21:05:34,856 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  6732. 2022-11-10 21:05:35,060 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  6733. 2022-11-10 21:05:35,378 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  6734. 2022-11-10 21:05:35,703 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  6735. 2022-11-10 21:05:36,035 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  6736. 2022-11-10 21:05:36,359 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  6737. 2022-11-10 21:05:36,680 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  6738. 2022-11-10 21:05:37,007 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  6739. 2022-11-10 21:05:37,334 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  6740. 2022-11-10 21:05:37,664 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  6741. 2022-11-10 21:05:38,002 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  6742. 2022-11-10 21:05:38,331 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  6743. 2022-11-10 21:05:38,664 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  6744. 2022-11-10 21:05:38,993 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  6745. 2022-11-10 21:05:39,324 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  6746. 2022-11-10 21:05:39,538 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  6747. 2022-11-10 21:05:39,860 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  6748. 2022-11-10 21:05:40,186 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  6749. 2022-11-10 21:05:40,504 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  6750. 2022-11-10 21:05:40,840 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  6751. 2022-11-10 21:05:41,168 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  6752. 2022-11-10 21:05:41,492 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  6753. 2022-11-10 21:05:41,818 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  6754. 2022-11-10 21:05:42,026 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  6755. 2022-11-10 21:05:42,359 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  6756. 2022-11-10 21:05:42,690 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  6757. 2022-11-10 21:05:43,015 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  6758. 2022-11-10 21:05:43,338 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  6759. 2022-11-10 21:05:43,659 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  6760. 2022-11-10 21:05:43,994 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  6761. 2022-11-10 21:05:44,322 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  6762. 2022-11-10 21:05:44,655 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  6763. 2022-11-10 21:05:44,990 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  6764. 2022-11-10 21:05:45,318 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  6765. 2022-11-10 21:05:45,646 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  6766. 2022-11-10 21:05:45,857 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  6767. 2022-11-10 21:05:46,187 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  6768. 2022-11-10 21:05:46,520 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  6769. 2022-11-10 21:05:46,847 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  6770. 2022-11-10 21:05:47,171 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  6771. 2022-11-10 21:05:47,502 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  6772. 2022-11-10 21:05:47,833 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  6773. 2022-11-10 21:05:48,159 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  6774. 2022-11-10 21:05:48,484 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  6775. 2022-11-10 21:05:48,810 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  6776. 2022-11-10 21:05:49,134 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  6777. 2022-11-10 21:05:49,455 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  6778. 2022-11-10 21:05:49,785 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  6779. 2022-11-10 21:05:50,114 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  6780. 2022-11-10 21:05:50,445 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  6781. 2022-11-10 21:05:50,778 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  6782. 2022-11-10 21:05:51,106 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  6783. 2022-11-10 21:05:51,316 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  6784. 2022-11-10 21:05:51,645 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  6785. 2022-11-10 21:05:51,966 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  6786. 2022-11-10 21:05:52,290 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  6787. 2022-11-10 21:05:52,616 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  6788. 2022-11-10 21:05:52,946 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  6789. 2022-11-10 21:05:53,274 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  6790. 2022-11-10 21:05:53,609 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  6791. 2022-11-10 21:05:53,939 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  6792. 2022-11-10 21:05:54,270 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  6793. 2022-11-10 21:05:54,593 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  6794. 2022-11-10 21:05:54,917 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  6795. 2022-11-10 21:05:55,250 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  6796. 2022-11-10 21:05:55,582 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  6797. 2022-11-10 21:05:55,906 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  6798. 2022-11-10 21:05:56,230 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  6799. 2022-11-10 21:05:56,553 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  6800. 2022-11-10 21:05:56,879 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  6801. 2022-11-10 21:05:57,206 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  6802. 2022-11-10 21:05:57,534 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  6803. 2022-11-10 21:05:57,872 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  6804. 2022-11-10 21:05:58,201 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  6805. 2022-11-10 21:05:58,529 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  6806. 2022-11-10 21:05:58,861 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  6807. 2022-11-10 21:05:59,192 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  6808. 2022-11-10 21:05:59,514 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  6809. 2022-11-10 21:05:59,851 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  6810. 2022-11-10 21:06:00,188 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  6811. 2022-11-10 21:06:00,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  6812. 2022-11-10 21:06:00,854 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  6813. 2022-11-10 21:06:01,183 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  6814. 2022-11-10 21:06:01,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  6815. 2022-11-10 21:06:01,855 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  6816. 2022-11-10 21:06:02,189 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  6817. 2022-11-10 21:06:02,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  6818. 2022-11-10 21:06:02,845 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  6819. 2022-11-10 21:06:03,173 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  6820. 2022-11-10 21:06:03,503 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  6821. 2022-11-10 21:06:03,836 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  6822. 2022-11-10 21:06:04,168 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  6823. 2022-11-10 21:06:04,506 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  6824. 2022-11-10 21:06:04,840 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  6825. 2022-11-10 21:06:05,178 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  6826. 2022-11-10 21:06:05,505 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  6827. 2022-11-10 21:06:05,846 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  6828. 2022-11-10 21:06:06,171 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  6829. 2022-11-10 21:06:06,502 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  6830. 2022-11-10 21:06:06,837 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  6831. 2022-11-10 21:06:07,161 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  6832. 2022-11-10 21:06:07,495 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  6833. 2022-11-10 21:06:07,830 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  6834. 2022-11-10 21:06:08,161 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  6835. 2022-11-10 21:06:08,503 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  6836. 2022-11-10 21:06:08,836 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  6837. 2022-11-10 21:06:09,167 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  6838. 2022-11-10 21:06:09,490 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  6839. 2022-11-10 21:06:09,819 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  6840. 2022-11-10 21:06:10,154 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  6841. 2022-11-10 21:06:10,484 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  6842. 2022-11-10 21:06:10,804 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  6843. 2022-11-10 21:06:11,132 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  6844. 2022-11-10 21:06:11,473 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  6845. 2022-11-10 21:06:11,801 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  6846. 2022-11-10 21:06:12,129 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  6847. 2022-11-10 21:06:12,455 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  6848. 2022-11-10 21:06:12,779 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  6849. 2022-11-10 21:06:13,116 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  6850. 2022-11-10 21:06:13,443 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  6851. 2022-11-10 21:06:13,766 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  6852. 2022-11-10 21:06:14,091 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  6853. 2022-11-10 21:06:14,415 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  6854. 2022-11-10 21:06:14,747 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  6855. 2022-11-10 21:06:15,087 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  6856. 2022-11-10 21:06:15,421 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  6857. 2022-11-10 21:06:15,750 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  6858. 2022-11-10 21:06:16,082 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  6859. 2022-11-10 21:06:16,416 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  6860. 2022-11-10 21:06:16,752 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  6861. 2022-11-10 21:06:17,078 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  6862. 2022-11-10 21:06:17,404 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  6863. 2022-11-10 21:06:17,745 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  6864. 2022-11-10 21:06:18,075 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  6865. 2022-11-10 21:06:18,416 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  6866. 2022-11-10 21:06:18,743 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  6867. 2022-11-10 21:06:19,072 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  6868. 2022-11-10 21:06:19,292 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  6869. 2022-11-10 21:06:19,631 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  6870. 2022-11-10 21:06:19,962 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  6871. 2022-11-10 21:06:20,301 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  6872. 2022-11-10 21:06:20,637 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  6873. 2022-11-10 21:06:20,967 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  6874. 2022-11-10 21:06:21,291 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  6875. 2022-11-10 21:06:21,619 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  6876. 2022-11-10 21:06:21,947 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  6877. 2022-11-10 21:06:22,276 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  6878. 2022-11-10 21:06:22,616 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  6879. 2022-11-10 21:06:22,829 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  6880. 2022-11-10 21:06:23,150 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  6881. 2022-11-10 21:06:23,489 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  6882. 2022-11-10 21:06:23,820 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  6883. 2022-11-10 21:06:24,155 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  6884. 2022-11-10 21:06:24,490 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  6885. 2022-11-10 21:06:24,834 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  6886. 2022-11-10 21:06:25,169 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  6887. 2022-11-10 21:06:25,502 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  6888. 2022-11-10 21:06:25,842 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  6889. 2022-11-10 21:06:26,173 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  6890. 2022-11-10 21:06:26,514 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  6891. 2022-11-10 21:06:26,852 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  6892. 2022-11-10 21:06:27,183 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  6893. 2022-11-10 21:06:27,521 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  6894. 2022-11-10 21:06:27,726 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  6895. 2022-11-10 21:06:28,057 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  6896. 2022-11-10 21:06:28,394 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  6897. 2022-11-10 21:06:28,725 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  6898. 2022-11-10 21:06:29,052 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  6899. 2022-11-10 21:06:29,384 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  6900. 2022-11-10 21:06:29,714 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  6901. 2022-11-10 21:06:30,046 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  6902. 2022-11-10 21:06:30,370 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  6903. 2022-11-10 21:06:30,693 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  6904. 2022-11-10 21:06:31,023 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  6905. 2022-11-10 21:06:31,355 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  6906. 2022-11-10 21:06:31,689 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  6907. 2022-11-10 21:06:32,024 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  6908. 2022-11-10 21:06:32,356 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  6909. 2022-11-10 21:06:32,694 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  6910. 2022-11-10 21:06:33,038 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  6911. 2022-11-10 21:06:33,376 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  6912. 2022-11-10 21:06:33,709 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  6913. 2022-11-10 21:06:33,904 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  6914. 2022-11-10 21:13:08,587 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  6915. 2022-11-10 21:13:08,906 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  6916. 2022-11-10 21:13:09,239 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  6917. 2022-11-10 21:13:09,557 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  6918. 2022-11-10 21:13:09,877 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  6919. 2022-11-10 21:13:10,198 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  6920. 2022-11-10 21:13:10,519 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  6921. 2022-11-10 21:13:10,831 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  6922. 2022-11-10 21:13:11,152 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  6923. 2022-11-10 21:13:11,471 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  6924. 2022-11-10 21:13:11,794 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  6925. 2022-11-10 21:13:12,123 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  6926. 2022-11-10 21:13:12,439 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  6927. 2022-11-10 21:13:12,762 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  6928. 2022-11-10 21:13:12,974 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  6929. 2022-11-10 21:13:13,296 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  6930. 2022-11-10 21:13:13,498 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  6931. 2022-11-10 21:13:13,824 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  6932. 2022-11-10 21:13:14,147 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  6933. 2022-11-10 21:13:14,479 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  6934. 2022-11-10 21:13:14,794 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  6935. 2022-11-10 21:13:15,116 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  6936. 2022-11-10 21:13:15,446 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  6937. 2022-11-10 21:13:15,769 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  6938. 2022-11-10 21:13:16,099 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  6939. 2022-11-10 21:13:16,415 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  6940. 2022-11-10 21:13:16,737 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  6941. 2022-11-10 21:13:17,063 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  6942. 2022-11-10 21:13:17,391 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  6943. 2022-11-10 21:13:17,711 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  6944. 2022-11-10 21:13:18,036 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  6945. 2022-11-10 21:13:18,360 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  6946. 2022-11-10 21:13:18,677 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  6947. 2022-11-10 21:13:18,995 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  6948. 2022-11-10 21:13:19,324 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  6949. 2022-11-10 21:13:19,649 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  6950. 2022-11-10 21:13:19,976 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  6951. 2022-11-10 21:13:20,292 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  6952. 2022-11-10 21:13:20,505 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  6953. 2022-11-10 21:13:20,829 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  6954. 2022-11-10 21:13:21,143 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  6955. 2022-11-10 21:13:21,483 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  6956. 2022-11-10 21:13:21,806 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  6957. 2022-11-10 21:13:22,129 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  6958. 2022-11-10 21:13:22,454 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  6959. 2022-11-10 21:13:22,775 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  6960. 2022-11-10 21:13:23,100 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  6961. 2022-11-10 21:13:23,426 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  6962. 2022-11-10 21:13:23,746 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  6963. 2022-11-10 21:13:24,071 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  6964. 2022-11-10 21:13:24,278 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  6965. 2022-11-10 21:13:24,595 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  6966. 2022-11-10 21:13:24,927 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  6967. 2022-11-10 21:13:25,251 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  6968. 2022-11-10 21:13:25,573 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  6969. 2022-11-10 21:13:25,893 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  6970. 2022-11-10 21:13:26,223 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  6971. 2022-11-10 21:13:26,548 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  6972. 2022-11-10 21:13:26,874 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  6973. 2022-11-10 21:13:27,194 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  6974. 2022-11-10 21:13:27,523 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  6975. 2022-11-10 21:13:27,848 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  6976. 2022-11-10 21:13:28,165 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  6977. 2022-11-10 21:13:28,498 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  6978. 2022-11-10 21:13:28,818 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  6979. 2022-11-10 21:13:29,139 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  6980. 2022-11-10 21:13:29,350 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  6981. 2022-11-10 21:13:29,668 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  6982. 2022-11-10 21:13:29,996 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  6983. 2022-11-10 21:13:30,200 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  6984. 2022-11-10 21:13:30,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  6985. 2022-11-10 21:13:30,841 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  6986. 2022-11-10 21:13:31,052 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  6987. 2022-11-10 21:13:31,256 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  6988. 2022-11-10 21:13:31,580 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  6989. 2022-11-10 21:13:31,903 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  6990. 2022-11-10 21:13:32,227 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  6991. 2022-11-10 21:13:32,553 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  6992. 2022-11-10 21:13:32,881 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  6993. 2022-11-10 21:13:33,202 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  6994. 2022-11-10 21:13:33,526 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  6995. 2022-11-10 21:13:33,850 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  6996. 2022-11-10 21:13:34,175 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  6997. 2022-11-10 21:13:34,498 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  6998. 2022-11-10 21:13:34,824 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  6999. 2022-11-10 21:13:35,155 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  7000. 2022-11-10 21:13:35,481 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  7001. 2022-11-10 21:13:35,802 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  7002. 2022-11-10 21:13:36,129 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  7003. 2022-11-10 21:13:36,332 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  7004. 2022-11-10 21:13:36,652 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  7005. 2022-11-10 21:13:36,978 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  7006. 2022-11-10 21:13:37,298 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  7007. 2022-11-10 21:13:37,634 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  7008. 2022-11-10 21:13:37,960 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  7009. 2022-11-10 21:13:38,284 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  7010. 2022-11-10 21:13:38,619 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  7011. 2022-11-10 21:13:38,942 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  7012. 2022-11-10 21:13:39,269 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  7013. 2022-11-10 21:13:39,589 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  7014. 2022-11-10 21:13:39,796 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  7015. 2022-11-10 21:13:40,118 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  7016. 2022-11-10 21:13:40,443 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  7017. 2022-11-10 21:13:40,770 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  7018. 2022-11-10 21:13:41,091 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  7019. 2022-11-10 21:13:41,420 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  7020. 2022-11-10 21:13:41,747 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  7021. 2022-11-10 21:13:42,067 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  7022. 2022-11-10 21:13:42,388 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  7023. 2022-11-10 21:13:42,720 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  7024. 2022-11-10 21:13:43,042 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  7025. 2022-11-10 21:13:43,365 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  7026. 2022-11-10 21:13:43,695 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  7027. 2022-11-10 21:13:44,020 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  7028. 2022-11-10 21:13:44,222 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  7029. 2022-11-10 21:13:44,546 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  7030. 2022-11-10 21:13:44,873 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  7031. 2022-11-10 21:13:45,192 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  7032. 2022-11-10 21:13:45,515 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  7033. 2022-11-10 21:13:45,837 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  7034. 2022-11-10 21:13:46,171 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  7035. 2022-11-10 21:13:46,491 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  7036. 2022-11-10 21:13:46,694 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  7037. 2022-11-10 21:13:47,017 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  7038. 2022-11-10 21:13:47,340 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  7039. 2022-11-10 21:13:47,657 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  7040. 2022-11-10 21:13:47,990 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  7041. 2022-11-10 21:13:48,313 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  7042. 2022-11-10 21:13:48,634 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  7043. 2022-11-10 21:13:48,968 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  7044. 2022-11-10 21:13:49,293 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  7045. 2022-11-10 21:13:49,622 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  7046. 2022-11-10 21:13:49,953 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  7047. 2022-11-10 21:13:50,275 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  7048. 2022-11-10 21:13:50,489 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  7049. 2022-11-10 21:13:50,814 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  7050. 2022-11-10 21:13:51,135 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  7051. 2022-11-10 21:13:51,454 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  7052. 2022-11-10 21:13:51,772 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  7053. 2022-11-10 21:13:52,104 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  7054. 2022-11-10 21:13:52,426 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  7055. 2022-11-10 21:13:52,746 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  7056. 2022-11-10 21:13:53,080 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  7057. 2022-11-10 21:13:53,405 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  7058. 2022-11-10 21:13:53,726 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  7059. 2022-11-10 21:13:54,059 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  7060. 2022-11-10 21:13:54,396 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  7061. 2022-11-10 21:13:54,718 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  7062. 2022-11-10 21:13:55,042 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  7063. 2022-11-10 21:13:55,366 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  7064. 2022-11-10 21:13:55,693 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  7065. 2022-11-10 21:13:55,904 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  7066. 2022-11-10 21:13:56,227 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  7067. 2022-11-10 21:13:56,545 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  7068. 2022-11-10 21:13:56,868 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  7069. 2022-11-10 21:13:57,194 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  7070. 2022-11-10 21:13:57,519 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  7071. 2022-11-10 21:13:57,838 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  7072. 2022-11-10 21:13:58,163 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  7073. 2022-11-10 21:13:58,491 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  7074. 2022-11-10 21:13:58,811 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  7075. 2022-11-10 21:13:59,138 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  7076. 2022-11-10 21:13:59,460 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  7077. 2022-11-10 21:13:59,783 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  7078. 2022-11-10 21:14:00,132 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  7079. 2022-11-10 21:14:00,455 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
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  7081. 2022-11-10 21:14:01,107 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  7082. 2022-11-10 21:14:01,431 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  7083. 2022-11-10 21:14:01,753 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  7084. 2022-11-10 21:14:02,086 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  7085. 2022-11-10 21:14:02,408 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  7086. 2022-11-10 21:14:02,732 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  7087. 2022-11-10 21:14:03,060 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  7088. 2022-11-10 21:14:03,381 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  7089. 2022-11-10 21:14:03,706 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  7090. 2022-11-10 21:14:04,035 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  7091. 2022-11-10 21:14:04,371 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  7092. 2022-11-10 21:14:04,693 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  7093. 2022-11-10 21:14:05,029 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  7094. 2022-11-10 21:14:05,356 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  7095. 2022-11-10 21:14:05,685 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  7096. 2022-11-10 21:14:06,016 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  7097. 2022-11-10 21:14:06,346 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  7098. 2022-11-10 21:14:06,675 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
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  7100. 2022-11-10 21:14:07,333 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  7101. 2022-11-10 21:14:07,656 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  7102. 2022-11-10 21:14:07,974 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  7103. 2022-11-10 21:14:08,301 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  7104. 2022-11-10 21:14:08,622 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  7105. 2022-11-10 21:14:08,961 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  7106. 2022-11-10 21:14:09,299 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  7107. 2022-11-10 21:14:09,621 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  7108. 2022-11-10 21:14:09,950 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  7109. 2022-11-10 21:14:10,283 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  7110. 2022-11-10 21:14:10,613 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  7111. 2022-11-10 21:14:10,940 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  7112. 2022-11-10 21:14:11,273 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  7113. 2022-11-10 21:14:11,598 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  7114. 2022-11-10 21:14:11,922 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  7115. 2022-11-10 21:14:12,250 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  7116. 2022-11-10 21:14:12,580 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  7117. 2022-11-10 21:14:12,917 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  7118. 2022-11-10 21:14:13,246 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  7119. 2022-11-10 21:14:13,574 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  7120. 2022-11-10 21:14:13,902 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  7121. 2022-11-10 21:14:14,234 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  7122. 2022-11-10 21:14:14,561 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  7123. 2022-11-10 21:14:14,889 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  7124. 2022-11-10 21:14:15,222 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  7125. 2022-11-10 21:14:15,546 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  7126. 2022-11-10 21:14:15,875 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  7127. 2022-11-10 21:14:16,207 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  7128. 2022-11-10 21:14:16,541 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  7129. 2022-11-10 21:14:16,872 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  7130. 2022-11-10 21:14:17,200 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  7131. 2022-11-10 21:14:17,537 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  7132. 2022-11-10 21:14:17,862 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  7133. 2022-11-10 21:14:18,199 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  7134. 2022-11-10 21:14:18,523 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  7135. 2022-11-10 21:14:18,850 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  7136. 2022-11-10 21:14:19,180 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  7137. 2022-11-10 21:14:19,510 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  7138. 2022-11-10 21:14:19,845 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  7139. 2022-11-10 21:14:20,172 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  7140. 2022-11-10 21:14:20,507 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  7141. 2022-11-10 21:14:20,842 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  7142. 2022-11-10 21:14:21,179 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  7143. 2022-11-10 21:14:21,506 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  7144. 2022-11-10 21:14:21,830 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  7145. 2022-11-10 21:14:22,155 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  7146. 2022-11-10 21:14:22,485 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  7147. 2022-11-10 21:14:22,818 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  7148. 2022-11-10 21:14:23,149 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  7149. 2022-11-10 21:14:23,476 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  7150. 2022-11-10 21:14:23,690 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  7151. 2022-11-10 21:14:24,022 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  7152. 2022-11-10 21:14:24,351 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  7153. 2022-11-10 21:14:24,684 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  7154. 2022-11-10 21:14:25,014 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  7155. 2022-11-10 21:14:25,332 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  7156. 2022-11-10 21:14:25,660 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  7157. 2022-11-10 21:14:25,988 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  7158. 2022-11-10 21:14:26,317 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  7159. 2022-11-10 21:14:26,645 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  7160. 2022-11-10 21:14:26,975 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  7161. 2022-11-10 21:14:27,183 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  7162. 2022-11-10 21:14:27,507 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  7163. 2022-11-10 21:14:27,834 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  7164. 2022-11-10 21:14:28,161 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  7165. 2022-11-10 21:14:28,498 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  7166. 2022-11-10 21:14:28,825 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  7167. 2022-11-10 21:14:29,159 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  7168. 2022-11-10 21:14:29,498 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  7169. 2022-11-10 21:14:29,838 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  7170. 2022-11-10 21:14:30,169 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  7171. 2022-11-10 21:14:30,508 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  7172. 2022-11-10 21:14:30,839 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  7173. 2022-11-10 21:14:31,174 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  7174. 2022-11-10 21:14:31,504 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  7175. 2022-11-10 21:14:31,831 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  7176. 2022-11-10 21:14:32,044 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  7177. 2022-11-10 21:14:32,374 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  7178. 2022-11-10 21:14:32,705 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  7179. 2022-11-10 21:14:33,039 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  7180. 2022-11-10 21:14:33,364 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  7181. 2022-11-10 21:14:33,692 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  7182. 2022-11-10 21:14:34,028 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  7183. 2022-11-10 21:14:34,357 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  7184. 2022-11-10 21:14:34,685 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  7185. 2022-11-10 21:14:35,011 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  7186. 2022-11-10 21:14:35,343 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  7187. 2022-11-10 21:14:35,681 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  7188. 2022-11-10 21:14:36,020 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  7189. 2022-11-10 21:14:36,351 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  7190. 2022-11-10 21:14:36,683 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  7191. 2022-11-10 21:14:37,020 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  7192. 2022-11-10 21:14:37,363 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  7193. 2022-11-10 21:14:37,700 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  7194. 2022-11-10 21:14:38,032 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  7195. 2022-11-10 21:14:38,244 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  7196. 2022-11-10 21:17:38,101 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  7197. 2022-11-10 21:17:38,422 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  7198. 2022-11-10 21:17:38,745 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  7199. 2022-11-10 21:17:39,070 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  7200. 2022-11-10 21:17:39,399 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  7201. 2022-11-10 21:17:39,722 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  7202. 2022-11-10 21:17:40,054 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  7203. 2022-11-10 21:17:40,371 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  7204. 2022-11-10 21:17:40,701 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  7205. 2022-11-10 21:17:41,025 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  7206. 2022-11-10 21:17:41,351 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  7207. 2022-11-10 21:17:41,669 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  7208. 2022-11-10 21:17:41,996 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  7209. 2022-11-10 21:17:42,320 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  7210. 2022-11-10 21:17:42,527 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  7211. 2022-11-10 21:17:42,848 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  7212. 2022-11-10 21:17:43,058 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  7213. 2022-11-10 21:17:43,381 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  7214. 2022-11-10 21:17:43,710 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  7215. 2022-11-10 21:17:44,037 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  7216. 2022-11-10 21:17:44,360 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  7217. 2022-11-10 21:19:48,963 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  7218. 2022-11-10 21:22:29,416 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  7219. 2022-11-10 21:22:29,736 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  7220. 2022-11-10 21:22:30,064 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  7221. 2022-11-10 21:22:30,399 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  7222. 2022-11-10 21:22:30,714 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  7223. 2022-11-10 21:22:31,040 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  7224. 2022-11-10 21:22:31,376 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  7225. 2022-11-10 21:22:31,692 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  7226. 2022-11-10 21:22:32,015 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  7227. 2022-11-10 21:22:32,339 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  7228. 2022-11-10 21:22:32,664 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  7229. 2022-11-10 21:22:32,986 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  7230. 2022-11-10 21:22:33,312 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  7231. 2022-11-10 21:22:33,634 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  7232. 2022-11-10 21:22:33,845 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  7233. 2022-11-10 21:22:34,168 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  7234. 2022-11-10 21:22:34,373 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  7235. 2022-11-10 21:22:34,695 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  7236. 2022-11-10 21:22:35,015 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  7237. 2022-11-10 21:22:35,347 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  7238. 2022-11-10 21:22:35,665 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  7239. 2022-11-10 21:22:35,985 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  7240. 2022-11-10 21:22:36,316 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  7241. 2022-11-10 21:22:36,634 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  7242. 2022-11-10 21:22:36,963 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  7243. 2022-11-10 21:22:37,281 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  7244. 2022-11-10 21:22:37,608 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  7245. 2022-11-10 21:22:37,935 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  7246. 2022-11-10 21:22:38,267 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  7247. 2022-11-10 21:22:38,583 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  7248. 2022-11-10 21:22:38,918 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  7249. 2022-11-10 21:22:39,240 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  7250. 2022-11-10 21:22:39,561 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  7251. 2022-11-10 21:22:39,882 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  7252. 2022-11-10 21:22:40,208 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  7253. 2022-11-10 21:22:40,533 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  7254. 2022-11-10 21:22:40,859 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  7255. 2022-11-10 21:22:41,184 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  7256. 2022-11-10 21:22:41,397 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  7257. 2022-11-10 21:22:41,729 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  7258. 2022-11-10 21:22:42,067 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  7259. 2022-11-10 21:22:42,397 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  7260. 2022-11-10 21:22:42,733 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  7261. 2022-11-10 21:22:43,066 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  7262. 2022-11-10 21:22:43,408 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  7263. 2022-11-10 21:22:43,746 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  7264. 2022-11-10 21:22:44,074 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  7265. 2022-11-10 21:22:44,409 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  7266. 2022-11-10 21:22:44,733 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  7267. 2022-11-10 21:22:45,056 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  7268. 2022-11-10 21:22:45,262 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  7269. 2022-11-10 21:22:45,591 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  7270. 2022-11-10 21:22:45,928 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  7271. 2022-11-10 21:22:46,253 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  7272. 2022-11-10 21:22:46,583 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  7273. 2022-11-10 21:22:46,904 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  7274. 2022-11-10 21:22:47,229 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  7275. 2022-11-10 21:22:47,555 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  7276. 2022-11-10 21:22:47,880 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  7277. 2022-11-10 21:22:48,200 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  7278. 2022-11-10 21:22:48,526 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  7279. 2022-11-10 21:22:48,855 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  7280. 2022-11-10 21:22:49,180 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  7281. 2022-11-10 21:22:49,507 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  7282. 2022-11-10 21:22:49,826 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  7283. 2022-11-10 21:22:50,152 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  7284. 2022-11-10 21:22:50,360 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  7285. 2022-11-10 21:22:50,687 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  7286. 2022-11-10 21:22:51,016 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  7287. 2022-11-10 21:22:51,228 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  7288. 2022-11-10 21:22:51,550 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  7289. 2022-11-10 21:22:51,868 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  7290. 2022-11-10 21:22:52,083 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  7291. 2022-11-10 21:22:52,289 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  7292. 2022-11-10 21:22:52,620 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  7293. 2022-11-10 21:22:52,946 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  7294. 2022-11-10 21:22:53,270 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  7295. 2022-11-10 21:22:53,596 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  7296. 2022-11-10 21:22:53,915 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  7297. 2022-11-10 21:22:54,250 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  7298. 2022-11-10 21:22:54,566 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  7299. 2022-11-10 21:24:03,101 - INFO - main.py - <module> - 290 - ========½øÐвâÊÔ========
  7300. 2022-11-10 21:24:50,347 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  7301. 2022-11-10 21:24:50,660 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  7302. 2022-11-10 21:24:50,978 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  7303. 2022-11-10 21:24:51,302 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  7304. 2022-11-10 21:24:51,627 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  7305. 2022-11-10 21:24:51,956 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  7306. 2022-11-10 21:24:52,283 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  7307. 2022-11-10 21:24:52,600 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  7308. 2022-11-10 21:24:52,926 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  7309. 2022-11-10 21:24:53,249 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  7310. 2022-11-10 21:24:53,577 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  7311. 2022-11-10 21:24:53,908 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  7312. 2022-11-10 21:24:54,224 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  7313. 2022-11-10 21:24:54,549 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  7314. 2022-11-10 21:24:54,766 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  7315. 2022-11-10 21:24:55,090 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  7316. 2022-11-10 21:24:55,298 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  7317. 2022-11-10 21:24:55,631 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  7318. 2022-11-10 21:24:55,959 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  7319. 2022-11-10 21:24:56,286 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  7320. 2022-11-10 21:24:56,604 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  7321. 2022-11-10 21:24:56,921 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  7322. 2022-11-10 21:24:57,242 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  7323. 2022-11-10 21:24:57,563 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  7324. 2022-11-10 21:24:57,894 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  7325. 2022-11-10 21:24:58,221 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  7326. 2022-11-10 21:24:58,540 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  7327. 2022-11-10 21:24:58,867 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  7328. 2022-11-10 21:24:59,214 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  7329. 2022-11-10 21:24:59,538 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  7330. 2022-11-10 21:24:59,874 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  7331. 2022-11-10 21:25:00,190 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  7332. 2022-11-10 21:25:00,510 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  7333. 2022-11-10 21:25:00,841 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  7334. 2022-11-10 21:25:01,166 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  7335. 2022-11-10 21:25:01,481 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  7336. 2022-11-10 21:25:01,810 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  7337. 2022-11-10 21:25:02,130 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  7338. 2022-11-10 21:25:02,339 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  7339. 2022-11-10 21:25:02,666 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  7340. 2022-11-10 21:25:02,987 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  7341. 2022-11-10 21:25:03,310 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  7342. 2022-11-10 21:25:03,642 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  7343. 2022-11-10 21:25:03,969 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  7344. 2022-11-10 21:25:04,294 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  7345. 2022-11-10 21:25:04,614 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  7346. 2022-11-10 21:25:04,936 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  7347. 2022-11-10 21:25:05,264 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  7348. 2022-11-10 21:25:05,590 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  7349. 2022-11-10 21:25:05,910 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  7350. 2022-11-10 21:25:06,113 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  7351. 2022-11-10 21:25:06,426 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  7352. 2022-11-10 21:25:06,761 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  7353. 2022-11-10 21:25:07,091 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  7354. 2022-11-10 21:25:07,410 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  7355. 2022-11-10 21:25:07,729 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  7356. 2022-11-10 21:25:08,063 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  7357. 2022-11-10 21:25:08,382 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  7358. 2022-11-10 21:25:08,709 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  7359. 2022-11-10 21:25:09,027 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  7360. 2022-11-10 21:25:09,357 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  7361. 2022-11-10 21:25:09,683 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  7362. 2022-11-10 21:25:10,006 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  7363. 2022-11-10 21:25:10,325 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  7364. 2022-11-10 21:25:10,651 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  7365. 2022-11-10 21:25:10,982 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  7366. 2022-11-10 21:25:11,186 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  7367. 2022-11-10 21:25:11,507 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  7368. 2022-11-10 21:25:11,825 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  7369. 2022-11-10 21:25:12,040 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  7370. 2022-11-10 21:25:12,356 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  7371. 2022-11-10 21:25:12,674 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  7372. 2022-11-10 21:25:12,888 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  7373. 2022-11-10 21:25:13,103 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  7374. 2022-11-10 21:25:13,432 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  7375. 2022-11-10 21:25:13,755 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  7376. 2022-11-10 21:25:14,079 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  7377. 2022-11-10 21:25:14,403 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  7378. 2022-11-10 21:25:14,729 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  7379. 2022-11-10 21:25:15,058 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  7380. 2022-11-10 21:25:15,371 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  7381. 2022-11-10 21:25:15,699 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  7382. 2022-11-10 21:25:16,029 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  7383. 2022-11-10 21:25:16,347 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  7384. 2022-11-10 21:25:16,676 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  7385. 2022-11-10 21:25:17,003 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  7386. 2022-11-10 21:25:17,329 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  7387. 2022-11-10 21:25:17,651 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  7388. 2022-11-10 21:25:17,976 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  7389. 2022-11-10 21:25:18,179 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  7390. 2022-11-10 21:25:18,497 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  7391. 2022-11-10 21:25:18,829 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  7392. 2022-11-10 21:25:19,150 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  7393. 2022-11-10 21:25:19,472 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  7394. 2022-11-10 21:25:19,796 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  7395. 2022-11-10 21:25:20,129 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  7396. 2022-11-10 21:25:20,452 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  7397. 2022-11-10 21:25:20,767 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  7398. 2022-11-10 21:25:21,101 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  7399. 2022-11-10 21:25:21,420 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  7400. 2022-11-10 21:25:21,632 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  7401. 2022-11-10 21:25:21,959 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  7402. 2022-11-10 21:25:22,283 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  7403. 2022-11-10 21:25:22,606 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  7404. 2022-11-10 21:25:22,927 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  7405. 2022-11-10 21:25:23,255 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  7406. 2022-11-10 21:25:23,581 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  7407. 2022-11-10 21:25:23,904 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  7408. 2022-11-10 21:25:24,231 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  7409. 2022-11-10 21:25:24,558 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  7410. 2022-11-10 21:25:24,895 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  7411. 2022-11-10 21:25:25,225 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  7412. 2022-11-10 21:25:25,548 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  7413. 2022-11-10 21:25:25,881 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  7414. 2022-11-10 21:25:26,090 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  7415. 2022-11-10 21:25:26,412 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  7416. 2022-11-10 21:25:26,738 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  7417. 2022-11-10 21:25:27,057 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  7418. 2022-11-10 21:25:27,397 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  7419. 2022-11-10 21:25:27,725 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  7420. 2022-11-10 21:25:28,064 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  7421. 2022-11-10 21:25:28,397 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  7422. 2022-11-10 21:25:28,604 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  7423. 2022-11-10 21:25:28,925 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  7424. 2022-11-10 21:25:29,257 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  7425. 2022-11-10 21:25:29,579 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  7426. 2022-11-10 21:25:29,901 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  7427. 2022-11-10 21:25:30,226 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  7428. 2022-11-10 21:25:30,552 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  7429. 2022-11-10 21:25:30,874 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  7430. 2022-11-10 21:25:31,196 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  7431. 2022-11-10 21:25:31,526 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  7432. 2022-11-10 21:25:31,849 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  7433. 2022-11-10 21:25:32,173 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  7434. 2022-11-10 21:25:32,382 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  7435. 2022-11-10 21:25:32,711 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  7436. 2022-11-10 21:25:33,042 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  7437. 2022-11-10 21:25:33,366 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  7438. 2022-11-10 21:25:33,687 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  7439. 2022-11-10 21:25:34,022 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  7440. 2022-11-10 21:25:34,345 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  7441. 2022-11-10 21:25:34,665 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  7442. 2022-11-10 21:25:34,989 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  7443. 2022-11-10 21:25:35,315 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  7444. 2022-11-10 21:25:35,634 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  7445. 2022-11-10 21:25:35,958 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  7446. 2022-11-10 21:25:36,296 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  7447. 2022-11-10 21:25:36,632 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  7448. 2022-11-10 21:25:36,957 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  7449. 2022-11-10 21:25:37,285 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  7450. 2022-11-10 21:25:37,624 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  7451. 2022-11-10 21:25:37,827 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  7452. 2022-11-10 21:25:38,151 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  7453. 2022-11-10 21:25:38,471 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  7454. 2022-11-10 21:25:38,799 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  7455. 2022-11-10 21:25:39,126 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  7456. 2022-11-10 21:25:39,446 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  7457. 2022-11-10 21:25:39,776 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  7458. 2022-11-10 21:25:40,105 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  7459. 2022-11-10 21:25:40,440 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  7460. 2022-11-10 21:25:40,769 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  7461. 2022-11-10 21:25:41,094 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  7462. 2022-11-10 21:25:41,421 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  7463. 2022-11-10 21:25:41,752 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  7464. 2022-11-10 21:25:42,095 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  7465. 2022-11-10 21:25:42,428 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  7466. 2022-11-10 21:25:42,750 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  7467. 2022-11-10 21:25:43,074 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  7468. 2022-11-10 21:25:43,410 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  7469. 2022-11-10 21:25:43,745 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  7470. 2022-11-10 21:25:44,070 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  7471. 2022-11-10 21:25:44,397 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  7472. 2022-11-10 21:25:44,729 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  7473. 2022-11-10 21:25:45,063 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  7474. 2022-11-10 21:25:45,393 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  7475. 2022-11-10 21:25:45,722 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  7476. 2022-11-10 21:25:46,051 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  7477. 2022-11-10 21:25:46,391 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  7478. 2022-11-10 21:25:46,714 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  7479. 2022-11-10 21:25:47,043 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  7480. 2022-11-10 21:25:47,377 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  7481. 2022-11-10 21:25:47,701 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  7482. 2022-11-10 21:25:48,030 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  7483. 2022-11-10 21:25:48,356 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  7484. 2022-11-10 21:25:48,686 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  7485. 2022-11-10 21:25:49,019 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  7486. 2022-11-10 21:25:49,340 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  7487. 2022-11-10 21:25:49,667 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  7488. 2022-11-10 21:25:49,992 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  7489. 2022-11-10 21:25:50,316 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  7490. 2022-11-10 21:25:50,641 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  7491. 2022-11-10 21:25:50,966 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  7492. 2022-11-10 21:25:51,293 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  7493. 2022-11-10 21:25:51,625 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  7494. 2022-11-10 21:25:51,957 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  7495. 2022-11-10 21:25:52,286 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  7496. 2022-11-10 21:25:52,616 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  7497. 2022-11-10 21:25:52,956 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  7498. 2022-11-10 21:25:53,288 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  7499. 2022-11-10 21:25:53,620 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  7500. 2022-11-10 21:25:53,952 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  7501. 2022-11-10 21:25:54,288 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  7502. 2022-11-10 21:25:54,615 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  7503. 2022-11-10 21:25:54,944 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  7504. 2022-11-10 21:25:55,273 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  7505. 2022-11-10 21:25:55,605 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  7506. 2022-11-10 21:25:55,927 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  7507. 2022-11-10 21:25:56,258 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  7508. 2022-11-10 21:25:56,587 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  7509. 2022-11-10 21:25:56,915 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  7510. 2022-11-10 21:25:57,245 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  7511. 2022-11-10 21:25:57,577 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  7512. 2022-11-10 21:25:57,911 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  7513. 2022-11-10 21:25:58,239 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  7514. 2022-11-10 21:25:58,579 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  7515. 2022-11-10 21:25:58,914 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  7516. 2022-11-10 21:25:59,234 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  7517. 2022-11-10 21:25:59,573 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  7518. 2022-11-10 21:25:59,907 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  7519. 2022-11-10 21:26:00,234 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  7520. 2022-11-10 21:26:00,563 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  7521. 2022-11-10 21:26:00,897 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  7522. 2022-11-10 21:26:01,223 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  7523. 2022-11-10 21:26:01,551 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  7524. 2022-11-10 21:26:01,877 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  7525. 2022-11-10 21:26:02,199 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  7526. 2022-11-10 21:26:02,529 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  7527. 2022-11-10 21:26:02,859 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  7528. 2022-11-10 21:26:03,194 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  7529. 2022-11-10 21:26:03,522 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  7530. 2022-11-10 21:26:03,852 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  7531. 2022-11-10 21:26:04,191 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  7532. 2022-11-10 21:26:04,520 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  7533. 2022-11-10 21:26:04,863 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  7534. 2022-11-10 21:26:05,195 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  7535. 2022-11-10 21:26:05,530 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  7536. 2022-11-10 21:26:05,747 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  7537. 2022-11-10 21:26:06,071 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  7538. 2022-11-10 21:26:06,402 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
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  7542. 2022-11-10 21:26:07,716 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  7543. 2022-11-10 21:26:08,040 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
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  7546. 2022-11-10 21:26:09,035 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  7547. 2022-11-10 21:26:09,248 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
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  7550. 2022-11-10 21:26:10,250 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
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  7553. 2022-11-10 21:26:11,251 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  7554. 2022-11-10 21:26:11,592 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
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  7559. 2022-11-10 21:26:13,246 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
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  7561. 2022-11-10 21:26:13,905 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  7562. 2022-11-10 21:26:14,115 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
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  7564. 2022-11-10 21:26:14,782 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  7565. 2022-11-10 21:26:15,119 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  7566. 2022-11-10 21:26:15,450 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  7567. 2022-11-10 21:26:15,788 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  7568. 2022-11-10 21:26:16,115 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  7569. 2022-11-10 21:26:16,441 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  7570. 2022-11-10 21:26:16,778 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  7571. 2022-11-10 21:26:17,099 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  7572. 2022-11-10 21:26:17,423 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  7573. 2022-11-10 21:26:17,757 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  7574. 2022-11-10 21:26:18,091 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  7575. 2022-11-10 21:26:18,423 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  7576. 2022-11-10 21:26:18,744 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  7577. 2022-11-10 21:26:19,082 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  7578. 2022-11-10 21:26:19,426 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  7579. 2022-11-10 21:26:19,765 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  7580. 2022-11-10 21:26:20,104 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  7581. 2022-11-10 21:26:20,312 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  7582. 2022-11-10 21:37:11,770 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  7583. 2022-11-10 21:37:23,600 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  7584. 2022-11-10 21:37:28,611 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  7585. 2022-11-10 21:37:30,650 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  7586. 2022-11-10 21:37:33,039 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  7587. 2022-11-10 21:37:35,188 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  7588. 2022-11-10 21:37:37,568 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  7589. 2022-11-10 21:37:44,882 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  7590. 2022-11-10 21:37:49,052 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  7591. 2022-11-10 21:37:53,069 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  7592. 2022-11-10 21:37:55,303 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  7593. 2022-11-10 21:38:00,519 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  7594. 2022-11-10 21:38:14,775 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  7595. 2022-11-10 21:38:17,302 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  7596. 2022-11-10 21:38:19,608 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  7597. 2022-11-10 21:38:21,576 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  7598. 2022-11-10 21:38:23,408 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  7599. 2022-11-10 21:38:25,476 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  7600. 2022-11-10 21:38:27,468 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  7601. 2022-11-10 21:38:29,436 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  7602. 2022-11-10 21:38:31,416 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  7603. 2022-11-10 21:38:35,022 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  7604. 2022-11-10 21:38:37,412 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  7605. 2022-11-10 21:38:38,922 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  7606. 2022-11-10 21:38:40,216 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  7607. 2022-11-10 21:38:41,170 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  7608. 2022-11-10 21:38:41,887 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  7609. 2022-11-10 21:38:42,570 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  7610. 2022-11-10 21:38:43,315 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  7611. 2022-11-10 21:38:44,023 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  7612. 2022-11-10 21:38:44,742 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  7613. 2022-11-10 21:38:45,462 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  7614. 2022-11-10 21:38:46,179 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  7615. 2022-11-10 21:38:47,004 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  7616. 2022-11-10 21:38:47,753 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  7617. 2022-11-10 21:38:48,482 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  7618. 2022-11-10 21:38:49,254 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  7619. 2022-11-10 21:38:50,054 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  7620. 2022-11-10 21:38:50,701 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  7621. 2022-11-10 21:38:51,663 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  7622. 2022-11-10 21:38:52,501 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  7623. 2022-11-10 21:38:53,331 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  7624. 2022-11-10 21:38:54,186 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  7625. 2022-11-10 21:38:55,051 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  7626. 2022-11-10 21:38:55,911 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  7627. 2022-11-10 21:38:56,779 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  7628. 2022-11-10 21:38:57,625 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  7629. 2022-11-10 21:38:58,565 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  7630. 2022-11-10 21:38:59,459 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  7631. 2022-11-10 21:39:02,182 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  7632. 2022-11-10 21:39:03,939 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  7633. 2022-11-10 21:39:05,392 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  7634. 2022-11-10 21:39:06,318 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  7635. 2022-11-10 21:39:07,189 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  7636. 2022-11-10 21:39:08,105 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  7637. 2022-11-10 21:39:09,051 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  7638. 2022-11-10 21:39:09,956 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  7639. 2022-11-10 21:39:10,843 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  7640. 2022-11-10 21:39:11,650 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  7641. 2022-11-10 21:39:12,499 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  7642. 2022-11-10 21:39:13,368 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  7643. 2022-11-10 21:39:14,278 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  7644. 2022-11-10 21:39:15,095 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  7645. 2022-11-10 21:39:16,314 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  7646. 2022-11-10 21:39:17,213 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  7647. 2022-11-10 21:39:18,059 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  7648. 2022-11-10 21:39:18,789 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  7649. 2022-11-10 21:39:19,569 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  7650. 2022-11-10 21:39:20,423 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  7651. 2022-11-10 21:39:21,186 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  7652. 2022-11-10 21:39:22,140 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  7653. 2022-11-10 21:39:23,072 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  7654. 2022-11-10 21:39:23,827 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  7655. 2022-11-10 21:39:24,530 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  7656. 2022-11-10 21:39:25,364 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  7657. 2022-11-10 21:39:26,310 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  7658. 2022-11-10 21:39:27,322 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  7659. 2022-11-10 21:39:28,285 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  7660. 2022-11-10 21:39:29,197 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  7661. 2022-11-10 21:39:30,071 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  7662. 2022-11-10 21:39:30,969 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  7663. 2022-11-10 21:39:31,809 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  7664. 2022-11-10 21:39:32,924 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  7665. 2022-11-10 21:39:33,859 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  7666. 2022-11-10 21:39:34,793 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  7667. 2022-11-10 21:39:35,649 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  7668. 2022-11-10 21:39:36,492 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  7669. 2022-11-10 21:39:37,360 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  7670. 2022-11-10 21:39:38,360 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  7671. 2022-11-10 21:39:39,112 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  7672. 2022-11-10 21:39:40,162 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  7673. 2022-11-10 21:39:41,088 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  7674. 2022-11-10 21:39:41,991 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  7675. 2022-11-10 21:39:42,842 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  7676. 2022-11-10 21:39:43,701 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  7677. 2022-11-10 21:39:44,559 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  7678. 2022-11-10 21:39:45,704 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  7679. 2022-11-10 21:39:46,701 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  7680. 2022-11-10 21:39:47,574 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  7681. 2022-11-10 21:39:48,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  7682. 2022-11-10 21:39:49,269 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  7683. 2022-11-10 21:39:50,010 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  7684. 2022-11-10 21:39:50,872 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  7685. 2022-11-10 21:39:51,742 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  7686. 2022-11-10 21:39:52,627 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  7687. 2022-11-10 21:39:53,515 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  7688. 2022-11-10 21:39:54,428 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  7689. 2022-11-10 21:39:55,207 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  7690. 2022-11-10 21:39:56,031 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  7691. 2022-11-10 21:39:56,879 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  7692. 2022-11-10 21:39:57,875 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  7693. 2022-11-10 21:39:58,714 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  7694. 2022-11-10 21:39:59,654 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  7695. 2022-11-10 21:40:00,575 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  7696. 2022-11-10 21:40:01,368 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  7697. 2022-11-10 21:40:02,410 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  7698. 2022-11-10 21:40:03,381 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  7699. 2022-11-10 21:40:04,298 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  7700. 2022-11-10 21:40:05,244 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  7701. 2022-11-10 21:40:06,168 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  7702. 2022-11-10 21:40:07,057 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  7703. 2022-11-10 21:40:08,116 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  7704. 2022-11-10 21:40:08,879 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  7705. 2022-11-10 21:40:09,874 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  7706. 2022-11-10 21:40:10,794 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  7707. 2022-11-10 21:40:11,800 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  7708. 2022-11-10 21:40:12,868 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  7709. 2022-11-10 21:40:14,575 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  7710. 2022-11-10 21:40:16,096 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  7711. 2022-11-10 21:40:17,130 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  7712. 2022-11-10 21:40:18,418 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  7713. 2022-11-10 21:40:19,439 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  7714. 2022-11-10 21:40:20,513 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  7715. 2022-11-10 21:40:21,500 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  7716. 2022-11-10 21:40:22,431 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  7717. 2022-11-10 21:40:23,324 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  7718. 2022-11-10 21:40:24,304 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  7719. 2022-11-10 21:40:25,272 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  7720. 2022-11-10 21:40:27,086 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  7721. 2022-11-10 21:40:28,955 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  7722. 2022-11-10 21:40:29,904 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  7723. 2022-11-10 21:40:31,866 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  7724. 2022-11-10 21:40:41,822 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  7725. 2022-11-10 21:40:45,170 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  7726. 2022-11-10 21:40:46,091 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  7727. 2022-11-10 21:40:46,923 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  7728. 2022-11-10 21:40:47,728 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  7729. 2022-11-10 21:40:48,597 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  7730. 2022-11-10 21:40:49,480 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  7731. 2022-11-10 21:40:50,309 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  7732. 2022-11-10 21:40:51,256 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  7733. 2022-11-10 21:40:52,125 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  7734. 2022-11-10 21:40:53,109 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  7735. 2022-11-10 21:40:53,993 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  7736. 2022-11-10 21:40:54,893 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  7737. 2022-11-10 21:40:55,783 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  7738. 2022-11-10 21:40:56,629 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  7739. 2022-11-10 21:40:57,522 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  7740. 2022-11-10 21:41:06,960 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  7741. 2022-11-10 21:41:07,935 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  7742. 2022-11-10 21:41:08,785 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  7743. 2022-11-10 21:41:10,709 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  7744. 2022-11-10 21:41:11,659 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  7745. 2022-11-10 21:41:12,567 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  7746. 2022-11-10 21:41:13,418 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  7747. 2022-11-10 21:41:14,260 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  7748. 2022-11-10 21:41:15,068 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  7749. 2022-11-10 21:41:15,924 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  7750. 2022-11-10 21:41:16,799 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  7751. 2022-11-10 21:41:17,646 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  7752. 2022-11-10 21:41:18,483 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  7753. 2022-11-10 21:41:19,340 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  7754. 2022-11-10 21:41:20,185 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  7755. 2022-11-10 21:41:21,017 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  7756. 2022-11-10 21:41:21,883 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  7757. 2022-11-10 21:41:24,532 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  7758. 2022-11-10 21:41:25,338 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  7759. 2022-11-10 21:41:26,150 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  7760. 2022-11-10 21:41:26,949 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  7761. 2022-11-10 21:41:27,800 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  7762. 2022-11-10 21:41:30,812 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  7763. 2022-11-10 21:41:33,817 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  7764. 2022-11-10 21:41:34,665 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  7765. 2022-11-10 21:41:35,448 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  7766. 2022-11-10 21:41:36,303 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  7767. 2022-11-10 21:41:37,138 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  7768. 2022-11-10 21:41:37,985 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  7769. 2022-11-10 21:41:38,842 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  7770. 2022-11-10 21:41:39,696 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  7771. 2022-11-10 21:41:40,536 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  7772. 2022-11-10 21:41:41,375 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  7773. 2022-11-10 21:42:03,203 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  7774. 2022-11-10 21:42:33,860 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  7775. 2022-11-10 21:42:36,393 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  7776. 2022-11-10 21:42:38,165 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  7777. 2022-11-10 21:42:39,955 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  7778. 2022-11-10 21:42:41,877 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  7779. 2022-11-10 21:42:42,834 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  7780. 2022-11-10 21:42:43,679 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  7781. 2022-11-10 21:42:44,377 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  7782. 2022-11-10 21:42:45,091 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  7783. 2022-11-10 21:42:45,878 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  7784. 2022-11-10 21:42:46,792 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  7785. 2022-11-10 21:42:58,947 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  7786. 2022-11-10 21:42:59,745 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  7787. 2022-11-10 21:43:00,570 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  7788. 2022-11-10 21:43:01,394 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  7789. 2022-11-10 21:43:02,110 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  7790. 2022-11-10 21:43:02,790 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  7791. 2022-11-10 21:43:03,514 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  7792. 2022-11-10 21:43:04,219 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  7793. 2022-11-10 21:43:04,948 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  7794. 2022-11-10 21:43:05,675 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  7795. 2022-11-10 21:43:11,211 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  7796. 2022-11-10 21:43:12,038 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  7797. 2022-11-10 21:43:12,874 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  7798. 2022-11-10 21:43:13,592 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  7799. 2022-11-10 21:43:14,309 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  7800. 2022-11-10 21:43:15,146 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  7801. 2022-11-10 21:43:15,916 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  7802. 2022-11-10 21:43:16,805 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  7803. 2022-11-10 21:43:17,530 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  7804. 2022-11-10 21:43:18,296 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  7805. 2022-11-10 21:43:19,032 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  7806. 2022-11-10 21:43:19,829 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  7807. 2022-11-10 21:43:20,581 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  7808. 2022-11-10 21:43:21,385 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  7809. 2022-11-10 21:43:22,168 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  7810. 2022-11-10 21:43:22,960 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  7811. 2022-11-10 21:43:23,695 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  7812. 2022-11-10 21:43:24,439 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  7813. 2022-11-10 21:43:25,251 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  7814. 2022-11-10 21:43:25,990 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  7815. 2022-11-10 21:43:26,758 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  7816. 2022-11-10 21:43:27,539 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  7817. 2022-11-10 21:43:28,354 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  7818. 2022-11-10 21:43:29,044 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  7819. 2022-11-10 21:43:29,946 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  7820. 2022-11-10 21:43:30,728 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  7821. 2022-11-10 21:43:31,557 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  7822. 2022-11-10 21:43:32,345 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  7823. 2022-11-10 21:43:33,175 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  7824. 2022-11-10 21:43:34,027 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  7825. 2022-11-10 21:43:34,863 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  7826. 2022-11-10 21:43:35,662 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  7827. 2022-11-10 21:43:36,476 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  7828. 2022-11-10 21:43:37,279 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  7829. 2022-11-10 21:43:37,984 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  7830. 2022-11-10 21:43:38,928 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  7831. 2022-11-10 21:43:52,252 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  7832. 2022-11-10 21:43:53,364 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  7833. 2022-11-10 21:43:59,267 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  7834. 2022-11-10 21:43:59,955 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  7835. 2022-11-10 21:44:00,639 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  7836. 2022-11-10 21:44:01,327 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  7837. 2022-11-10 21:44:02,065 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  7838. 2022-11-10 21:44:02,964 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  7839. 2022-11-10 21:44:03,713 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  7840. 2022-11-10 21:44:04,511 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  7841. 2022-11-10 21:44:05,452 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  7842. 2022-11-10 21:44:06,213 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  7843. 2022-11-10 21:44:06,999 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  7844. 2022-11-10 21:44:11,440 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  7845. 2022-11-10 21:44:15,324 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  7846. 2022-11-10 21:44:25,210 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  7847. 2022-11-10 21:44:29,616 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  7848. 2022-11-10 21:44:30,374 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  7849. 2022-11-10 21:44:31,199 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  7850. 2022-11-10 21:44:31,890 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  7851. 2022-11-10 21:44:32,602 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  7852. 2022-11-10 21:44:33,326 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  7853. 2022-11-10 21:44:34,090 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  7854. 2022-11-10 21:44:34,858 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  7855. 2022-11-10 21:44:35,671 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  7856. 2022-11-10 21:44:40,087 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  7857. 2022-11-10 21:44:48,935 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  7858. 2022-11-10 21:44:58,941 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  7859. 2022-11-10 21:45:24,793 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  7860. 2022-11-10 21:45:35,433 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  7861. 2022-11-10 21:46:50,125 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  7862. 2022-11-10 21:47:58,615 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  7863. 2022-11-10 21:52:05,197 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  7864. 2022-11-10 22:15:27,536 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  7865. 2022-11-10 22:15:27,868 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  7866. 2022-11-10 22:15:28,200 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  7867. 2022-11-10 22:15:28,529 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  7868. 2022-11-10 22:15:28,849 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  7869. 2022-11-10 22:15:29,171 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  7870. 2022-11-10 22:15:29,499 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  7871. 2022-11-10 22:15:29,821 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  7872. 2022-11-10 22:15:30,145 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  7873. 2022-11-10 22:15:30,472 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  7874. 2022-11-10 22:15:30,798 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  7875. 2022-11-10 22:15:31,117 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  7876. 2022-11-10 22:15:31,440 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  7877. 2022-11-10 22:15:31,767 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  7878. 2022-11-10 22:15:31,974 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  7879. 2022-11-10 22:15:32,295 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  7880. 2022-11-10 22:15:32,501 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  7881. 2022-11-10 22:15:32,826 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  7882. 2022-11-10 22:15:33,150 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  7883. 2022-11-10 22:15:33,480 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  7884. 2022-11-10 22:15:33,808 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  7885. 2022-11-10 22:15:34,137 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  7886. 2022-11-10 22:15:34,466 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  7887. 2022-11-10 22:15:34,785 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  7888. 2022-11-10 22:15:35,117 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  7889. 2022-11-10 22:15:35,434 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  7890. 2022-11-10 22:15:35,759 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  7891. 2022-11-10 22:15:36,083 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  7892. 2022-11-10 22:15:36,412 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  7893. 2022-11-10 22:15:36,734 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  7894. 2022-11-10 22:15:37,062 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  7895. 2022-11-10 22:15:37,383 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  7896. 2022-11-10 22:15:37,705 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  7897. 2022-11-10 22:15:38,027 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  7898. 2022-11-10 22:15:38,352 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  7899. 2022-11-10 22:15:38,679 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  7900. 2022-11-10 22:15:39,007 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  7901. 2022-11-10 22:15:39,333 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  7902. 2022-11-10 22:15:39,543 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  7903. 2022-11-10 22:15:39,881 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  7904. 2022-11-10 22:15:40,201 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  7905. 2022-11-10 22:15:40,527 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  7906. 2022-11-10 22:15:40,856 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  7907. 2022-11-10 22:15:41,190 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  7908. 2022-11-10 22:15:41,523 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  7909. 2022-11-10 22:15:41,847 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  7910. 2022-11-10 22:15:42,172 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  7911. 2022-11-10 22:15:42,496 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  7912. 2022-11-10 22:15:42,823 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  7913. 2022-11-10 22:15:43,149 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  7914. 2022-11-10 22:15:43,360 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  7915. 2022-11-10 22:15:43,680 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  7916. 2022-11-10 22:15:44,012 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  7917. 2022-11-10 22:15:44,341 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  7918. 2022-11-10 22:15:44,672 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  7919. 2022-11-10 22:15:45,017 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  7920. 2022-11-10 22:15:45,352 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  7921. 2022-11-10 22:15:45,683 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  7922. 2022-11-10 22:15:46,017 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  7923. 2022-11-10 22:15:46,342 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  7924. 2022-11-10 22:15:46,672 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  7925. 2022-11-10 22:15:47,002 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  7926. 2022-11-10 22:15:47,330 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  7927. 2022-11-10 22:15:47,668 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  7928. 2022-11-10 22:15:47,994 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  7929. 2022-11-10 22:15:48,317 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  7930. 2022-11-10 22:15:48,522 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  7931. 2022-11-10 22:15:48,857 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  7932. 2022-11-10 22:15:49,187 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  7933. 2022-11-10 22:15:49,392 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  7934. 2022-11-10 22:15:49,714 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  7935. 2022-11-10 22:15:50,038 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  7936. 2022-11-10 22:15:50,249 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  7937. 2022-11-10 22:15:50,465 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  7938. 2022-11-10 22:15:50,794 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  7939. 2022-11-10 22:15:51,126 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  7940. 2022-11-10 22:15:51,451 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  7941. 2022-11-10 22:15:51,772 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  7942. 2022-11-10 22:15:52,102 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  7943. 2022-11-10 22:15:52,429 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  7944. 2022-11-10 22:15:52,754 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  7945. 2022-11-10 22:15:53,077 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  7946. 2022-11-10 22:15:53,401 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  7947. 2022-11-10 22:15:53,726 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  7948. 2022-11-10 22:15:54,044 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  7949. 2022-11-10 22:15:54,381 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  7950. 2022-11-10 22:15:54,725 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  7951. 2022-11-10 22:15:55,052 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  7952. 2022-11-10 22:15:55,404 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  7953. 2022-11-10 22:15:55,614 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  7954. 2022-11-10 22:15:55,943 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  7955. 2022-11-10 22:15:56,282 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  7956. 2022-11-10 22:15:56,606 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  7957. 2022-11-10 22:15:56,941 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  7958. 2022-11-10 22:15:57,272 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  7959. 2022-11-10 22:15:57,599 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  7960. 2022-11-10 22:15:57,933 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  7961. 2022-11-10 22:15:58,261 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  7962. 2022-11-10 22:15:58,598 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  7963. 2022-11-10 22:15:58,926 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  7964. 2022-11-10 22:15:59,139 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  7965. 2022-11-10 22:15:59,467 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  7966. 2022-11-10 22:15:59,796 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  7967. 2022-11-10 22:16:00,126 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  7968. 2022-11-10 22:16:00,457 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  7969. 2022-11-10 22:16:00,790 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  7970. 2022-11-10 22:16:01,124 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  7971. 2022-11-10 22:16:01,460 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  7972. 2022-11-10 22:16:01,795 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  7973. 2022-11-10 22:16:02,131 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  7974. 2022-11-10 22:16:02,471 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  7975. 2022-11-10 22:16:02,812 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  7976. 2022-11-10 22:16:03,136 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  7977. 2022-11-10 22:16:03,467 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  7978. 2022-11-10 22:16:03,675 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  7979. 2022-11-10 22:16:04,005 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  7980. 2022-11-10 22:16:04,334 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  7981. 2022-11-10 22:16:04,659 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  7982. 2022-11-10 22:16:04,993 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  7983. 2022-11-10 22:16:05,326 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  7984. 2022-11-10 22:16:05,656 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  7985. 2022-11-10 22:16:05,984 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  7986. 2022-11-10 22:16:06,199 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  7987. 2022-11-10 22:16:06,523 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  7988. 2022-11-10 22:16:06,854 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  7989. 2022-11-10 22:16:07,191 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  7990. 2022-11-10 22:16:07,518 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  7991. 2022-11-10 22:16:07,838 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  7992. 2022-11-10 22:16:08,176 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  7993. 2022-11-10 22:16:08,509 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  7994. 2022-11-10 22:16:08,834 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  7995. 2022-11-10 22:16:09,173 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  7996. 2022-11-10 22:16:09,504 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  7997. 2022-11-10 22:16:09,835 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  7998. 2022-11-10 22:16:10,052 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  7999. 2022-11-10 22:16:10,377 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
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  8001. 2022-11-10 22:16:11,030 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  8002. 2022-11-10 22:16:11,363 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  8003. 2022-11-10 22:16:11,693 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  8004. 2022-11-10 22:16:12,013 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  8005. 2022-11-10 22:16:12,340 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  8006. 2022-11-10 22:16:12,665 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  8007. 2022-11-10 22:16:12,999 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  8008. 2022-11-10 22:16:13,337 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  8009. 2022-11-10 22:16:13,665 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  8010. 2022-11-10 22:16:14,003 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
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  8018. 2022-11-10 22:16:16,529 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  8019. 2022-11-10 22:16:16,863 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
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  8022. 2022-11-10 22:16:17,858 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  8023. 2022-11-10 22:16:18,197 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  8024. 2022-11-10 22:16:18,526 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
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  8026. 2022-11-10 22:16:19,181 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  8027. 2022-11-10 22:16:19,517 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  8028. 2022-11-10 22:16:19,854 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  8029. 2022-11-10 22:16:20,197 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  8030. 2022-11-10 22:16:20,530 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  8031. 2022-11-10 22:16:20,861 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  8032. 2022-11-10 22:16:21,196 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  8033. 2022-11-10 22:16:21,531 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  8034. 2022-11-10 22:16:21,852 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  8035. 2022-11-10 22:16:22,181 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  8036. 2022-11-10 22:16:22,513 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  8037. 2022-11-10 22:16:22,849 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  8038. 2022-11-10 22:16:23,180 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  8039. 2022-11-10 22:16:23,517 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  8040. 2022-11-10 22:16:23,844 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  8041. 2022-11-10 22:16:24,179 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  8042. 2022-11-10 22:16:24,516 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  8043. 2022-11-10 22:16:24,846 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  8044. 2022-11-10 22:16:25,184 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  8045. 2022-11-10 22:16:25,512 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  8046. 2022-11-10 22:16:25,846 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  8047. 2022-11-10 22:16:26,177 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  8048. 2022-11-10 22:16:26,510 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
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  8050. 2022-11-10 22:16:27,173 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  8051. 2022-11-10 22:16:27,500 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  8052. 2022-11-10 22:16:27,830 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  8053. 2022-11-10 22:16:28,162 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  8054. 2022-11-10 22:16:28,488 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  8055. 2022-11-10 22:16:28,816 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  8056. 2022-11-10 22:16:29,157 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  8057. 2022-11-10 22:16:29,492 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  8058. 2022-11-10 22:16:29,818 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  8059. 2022-11-10 22:16:30,158 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  8060. 2022-11-10 22:16:30,501 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  8061. 2022-11-10 22:16:30,833 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  8062. 2022-11-10 22:16:31,163 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  8063. 2022-11-10 22:16:31,488 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  8064. 2022-11-10 22:16:31,814 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  8065. 2022-11-10 22:16:32,146 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  8066. 2022-11-10 22:16:32,482 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  8067. 2022-11-10 22:16:32,815 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  8068. 2022-11-10 22:16:33,146 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  8069. 2022-11-10 22:16:33,470 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  8070. 2022-11-10 22:16:33,797 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  8071. 2022-11-10 22:16:34,131 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  8072. 2022-11-10 22:16:34,470 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  8073. 2022-11-10 22:16:34,800 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  8074. 2022-11-10 22:16:35,129 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  8075. 2022-11-10 22:16:35,459 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  8076. 2022-11-10 22:16:35,793 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  8077. 2022-11-10 22:16:36,128 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  8078. 2022-11-10 22:16:36,463 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  8079. 2022-11-10 22:16:36,797 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  8080. 2022-11-10 22:16:37,119 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  8081. 2022-11-10 22:16:37,463 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  8082. 2022-11-10 22:16:37,791 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  8083. 2022-11-10 22:16:38,123 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  8084. 2022-11-10 22:16:38,461 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  8085. 2022-11-10 22:16:38,792 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  8086. 2022-11-10 22:16:39,132 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  8087. 2022-11-10 22:16:39,473 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  8088. 2022-11-10 22:16:39,809 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  8089. 2022-11-10 22:16:40,141 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  8090. 2022-11-10 22:16:40,474 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  8091. 2022-11-10 22:16:40,811 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  8092. 2022-11-10 22:16:41,147 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  8093. 2022-11-10 22:16:41,487 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  8094. 2022-11-10 22:16:41,820 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  8095. 2022-11-10 22:16:42,152 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  8096. 2022-11-10 22:16:42,488 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  8097. 2022-11-10 22:16:42,822 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  8098. 2022-11-10 22:16:43,161 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  8099. 2022-11-10 22:16:43,491 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  8100. 2022-11-10 22:16:43,704 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  8101. 2022-11-10 22:16:44,031 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  8102. 2022-11-10 22:16:44,365 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  8103. 2022-11-10 22:16:44,705 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  8104. 2022-11-10 22:16:45,042 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  8105. 2022-11-10 22:16:45,371 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  8106. 2022-11-10 22:16:45,701 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  8107. 2022-11-10 22:16:46,034 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  8108. 2022-11-10 22:16:46,366 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  8109. 2022-11-10 22:16:46,690 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  8110. 2022-11-10 22:16:47,017 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  8111. 2022-11-10 22:16:47,229 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  8112. 2022-11-10 22:16:47,559 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  8113. 2022-11-10 22:16:47,890 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  8114. 2022-11-10 22:16:48,226 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  8115. 2022-11-10 22:16:48,561 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  8116. 2022-11-10 22:16:48,896 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  8117. 2022-11-10 22:16:49,236 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  8118. 2022-11-10 22:16:49,572 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  8119. 2022-11-10 22:16:49,908 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  8120. 2022-11-10 22:16:50,235 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  8121. 2022-11-10 22:16:50,561 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  8122. 2022-11-10 22:16:50,894 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  8123. 2022-11-10 22:16:51,230 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  8124. 2022-11-10 22:16:51,556 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  8125. 2022-11-10 22:16:51,888 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  8126. 2022-11-10 22:16:52,098 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  8127. 2022-11-10 22:16:52,430 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  8128. 2022-11-10 22:16:52,764 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  8129. 2022-11-10 22:16:53,096 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  8130. 2022-11-10 22:16:53,434 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  8131. 2022-11-10 22:16:53,763 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  8132. 2022-11-10 22:16:54,096 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  8133. 2022-11-10 22:16:54,431 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  8134. 2022-11-10 22:16:54,766 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  8135. 2022-11-10 22:16:55,102 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  8136. 2022-11-10 22:16:55,429 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  8137. 2022-11-10 22:16:55,768 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  8138. 2022-11-10 22:16:56,095 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  8139. 2022-11-10 22:16:56,432 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  8140. 2022-11-10 22:16:56,763 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  8141. 2022-11-10 22:16:57,101 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  8142. 2022-11-10 22:16:57,443 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  8143. 2022-11-10 22:16:57,779 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  8144. 2022-11-10 22:16:58,113 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  8145. 2022-11-10 22:16:58,323 - INFO - main.py - train - 86 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  8146. 2022-11-10 22:26:15,140 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  8147. 2022-11-10 22:26:15,453 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  8148. 2022-11-10 22:26:15,779 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  8149. 2022-11-10 22:26:16,116 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  8150. 2022-11-10 22:26:16,435 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  8151. 2022-11-10 22:26:16,760 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  8152. 2022-11-10 22:26:17,084 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  8153. 2022-11-10 22:26:17,405 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  8154. 2022-11-10 22:26:17,733 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  8155. 2022-11-10 22:26:18,059 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  8156. 2022-11-10 22:26:18,390 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  8157. 2022-11-10 22:26:18,714 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  8158. 2022-11-10 22:26:19,035 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  8159. 2022-11-10 22:26:19,360 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  8160. 2022-11-10 22:26:19,566 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  8161. 2022-11-10 22:26:19,893 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  8162. 2022-11-10 22:26:20,103 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  8163. 2022-11-10 22:26:20,441 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  8164. 2022-11-10 22:26:20,776 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  8165. 2022-11-10 22:26:21,102 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  8166. 2022-11-10 22:26:21,428 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  8167. 2022-11-10 22:26:21,745 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  8168. 2022-11-10 22:26:22,071 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  8169. 2022-11-10 22:26:22,398 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  8170. 2022-11-10 22:26:22,723 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  8171. 2022-11-10 22:26:23,042 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  8172. 2022-11-10 22:26:23,379 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  8173. 2022-11-10 22:26:23,712 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  8174. 2022-11-10 22:26:24,042 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  8175. 2022-11-10 22:26:24,362 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  8176. 2022-11-10 22:26:24,688 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  8177. 2022-11-10 22:26:25,011 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  8178. 2022-11-10 22:26:25,338 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  8179. 2022-11-10 22:26:25,663 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  8180. 2022-11-10 22:26:33,966 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  8181. 2022-11-10 22:26:34,286 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  8182. 2022-11-10 22:26:34,604 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  8183. 2022-11-10 22:26:34,933 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  8184. 2022-11-10 22:26:35,258 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  8185. 2022-11-10 22:26:35,587 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  8186. 2022-11-10 22:26:35,916 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  8187. 2022-11-10 22:26:36,239 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  8188. 2022-11-10 22:26:36,567 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  8189. 2022-11-10 22:26:36,895 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  8190. 2022-11-10 22:26:37,228 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  8191. 2022-11-10 22:26:37,555 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  8192. 2022-11-10 22:26:37,880 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  8193. 2022-11-10 22:26:38,211 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  8194. 2022-11-10 22:26:38,431 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  8195. 2022-11-10 22:26:38,767 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  8196. 2022-11-10 22:26:38,973 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  8197. 2022-11-10 22:26:39,319 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  8198. 2022-11-10 22:26:39,660 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  8199. 2022-11-10 22:26:39,989 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  8200. 2022-11-10 22:26:40,321 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  8201. 2022-11-10 22:26:40,656 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  8202. 2022-11-10 22:26:40,983 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  8203. 2022-11-10 22:26:41,307 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  8204. 2022-11-10 22:26:41,651 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  8205. 2022-11-10 22:26:41,972 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  8206. 2022-11-10 22:26:42,295 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  8207. 2022-11-10 22:26:42,626 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  8208. 2022-11-10 22:26:42,967 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  8209. 2022-11-10 22:26:43,293 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  8210. 2022-11-10 22:26:43,621 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  8211. 2022-11-10 22:26:43,952 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  8212. 2022-11-10 22:26:44,281 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  8213. 2022-11-10 22:26:44,607 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  8214. 2022-11-10 22:26:44,935 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  8215. 2022-11-10 22:26:45,300 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  8216. 2022-11-10 22:26:45,632 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  8217. 2022-11-10 22:26:45,969 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  8218. 2022-11-10 22:26:46,191 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  8219. 2022-11-10 22:26:46,536 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  8220. 2022-11-10 22:26:46,866 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  8221. 2022-11-10 22:26:47,203 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  8222. 2022-11-10 22:26:47,542 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  8223. 2022-11-10 22:26:47,878 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  8224. 2022-11-10 22:26:48,216 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  8225. 2022-11-10 22:26:48,557 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  8226. 2022-11-10 22:26:48,891 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  8227. 2022-11-10 22:26:49,233 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  8228. 2022-11-10 22:26:49,577 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  8229. 2022-11-10 22:26:49,915 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  8230. 2022-11-10 22:26:50,123 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  8231. 2022-11-10 22:26:50,455 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  8232. 2022-11-10 22:26:50,791 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  8233. 2022-11-10 22:26:51,126 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  8234. 2022-11-10 22:26:51,456 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  8235. 2022-11-10 22:26:51,784 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  8236. 2022-11-10 22:26:52,119 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  8237. 2022-11-10 22:26:52,447 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  8238. 2022-11-10 22:26:52,779 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  8239. 2022-11-10 22:26:53,119 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  8240. 2022-11-10 22:26:53,452 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  8241. 2022-11-10 22:26:53,792 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  8242. 2022-11-10 22:26:54,129 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  8243. 2022-11-10 22:26:54,460 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  8244. 2022-11-10 22:26:54,800 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  8245. 2022-11-10 22:26:55,128 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  8246. 2022-11-10 22:26:55,344 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  8247. 2022-11-10 22:26:55,676 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  8248. 2022-11-10 22:26:56,013 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  8249. 2022-11-10 22:26:56,223 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  8250. 2022-11-10 22:26:56,553 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  8251. 2022-11-10 22:26:56,887 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  8252. 2022-11-10 22:26:57,100 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  8253. 2022-11-10 22:26:57,315 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  8254. 2022-11-10 22:26:57,651 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  8255. 2022-11-10 22:26:57,982 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  8256. 2022-11-10 22:26:58,309 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  8257. 2022-11-10 22:26:58,640 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  8258. 2022-11-10 22:26:58,972 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  8259. 2022-11-10 22:26:59,300 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  8260. 2022-11-10 22:26:59,623 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  8261. 2022-11-10 22:26:59,963 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  8262. 2022-11-10 22:27:00,293 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  8263. 2022-11-10 22:27:00,621 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  8264. 2022-11-10 22:27:00,951 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  8265. 2022-11-10 22:27:01,300 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  8266. 2022-11-10 22:27:01,627 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  8267. 2022-11-10 22:27:01,956 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  8268. 2022-11-10 22:27:02,291 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  8269. 2022-11-10 22:27:02,506 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  8270. 2022-11-10 22:27:02,845 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  8271. 2022-11-10 22:27:03,182 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  8272. 2022-11-10 22:27:03,519 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  8273. 2022-11-10 22:27:03,867 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  8274. 2022-11-10 22:27:04,205 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  8275. 2022-11-10 22:27:04,536 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  8276. 2022-11-10 22:27:04,878 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  8277. 2022-11-10 22:27:05,212 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  8278. 2022-11-10 22:27:05,547 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  8279. 2022-11-10 22:27:05,882 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  8280. 2022-11-10 22:27:06,091 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  8281. 2022-11-10 22:27:06,421 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  8282. 2022-11-10 22:27:06,762 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  8283. 2022-11-10 22:27:07,101 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  8284. 2022-11-10 22:27:07,431 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  8285. 2022-11-10 22:27:07,773 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  8286. 2022-11-10 22:27:08,119 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  8287. 2022-11-10 22:27:08,454 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  8288. 2022-11-10 22:27:08,791 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  8289. 2022-11-10 22:27:09,130 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  8290. 2022-11-10 22:27:09,465 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  8291. 2022-11-10 22:27:09,802 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  8292. 2022-11-10 22:27:10,134 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  8293. 2022-11-10 22:27:10,467 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  8294. 2022-11-10 22:27:10,676 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  8295. 2022-11-10 22:27:11,013 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  8296. 2022-11-10 22:27:11,346 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  8297. 2022-11-10 22:27:11,678 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  8298. 2022-11-10 22:27:12,014 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  8299. 2022-11-10 22:27:12,350 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  8300. 2022-11-10 22:27:12,681 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  8301. 2022-11-10 22:27:13,020 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  8302. 2022-11-10 22:27:13,228 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  8303. 2022-11-10 22:27:13,567 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  8304. 2022-11-10 22:27:13,910 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  8305. 2022-11-10 22:27:14,236 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  8306. 2022-11-10 22:27:14,567 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  8307. 2022-11-10 22:27:14,906 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  8308. 2022-11-10 22:27:15,254 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  8309. 2022-11-10 22:27:15,592 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  8310. 2022-11-10 22:27:15,921 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  8311. 2022-11-10 22:27:16,274 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  8312. 2022-11-10 22:27:16,599 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  8313. 2022-11-10 22:27:16,930 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  8314. 2022-11-10 22:27:17,146 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  8315. 2022-11-10 22:27:17,473 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  8316. 2022-11-10 22:27:17,795 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  8317. 2022-11-10 22:27:18,144 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  8318. 2022-11-10 22:27:18,471 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  8319. 2022-11-10 22:27:18,803 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  8320. 2022-11-10 22:27:19,134 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  8321. 2022-11-10 22:27:19,472 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  8322. 2022-11-10 22:27:19,807 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  8323. 2022-11-10 22:27:20,140 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  8324. 2022-11-10 22:27:20,472 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  8325. 2022-11-10 22:27:20,808 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  8326. 2022-11-10 22:27:21,150 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  8327. 2022-11-10 22:27:21,486 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  8328. 2022-11-10 22:27:21,826 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  8329. 2022-11-10 22:27:22,170 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  8330. 2022-11-10 22:27:22,506 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  8331. 2022-11-10 22:27:22,716 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  8332. 2022-11-10 22:27:23,054 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  8333. 2022-11-10 22:27:23,380 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  8334. 2022-11-10 22:27:23,706 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  8335. 2022-11-10 22:27:24,040 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  8336. 2022-11-10 22:27:24,377 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  8337. 2022-11-10 22:27:24,717 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  8338. 2022-11-10 22:27:25,050 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  8339. 2022-11-10 22:27:25,392 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  8340. 2022-11-10 22:27:25,729 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  8341. 2022-11-10 22:27:26,060 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  8342. 2022-11-10 22:27:26,385 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  8343. 2022-11-10 22:27:26,721 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  8344. 2022-11-10 22:27:27,058 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  8345. 2022-11-10 22:27:27,404 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  8346. 2022-11-10 22:27:27,743 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  8347. 2022-11-10 22:27:28,086 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  8348. 2022-11-10 22:27:28,426 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  8349. 2022-11-10 22:27:28,756 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  8350. 2022-11-10 22:27:29,096 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  8351. 2022-11-10 22:27:29,429 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  8352. 2022-11-10 22:27:29,770 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  8353. 2022-11-10 22:27:30,111 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  8354. 2022-11-10 22:27:30,441 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  8355. 2022-11-10 22:27:30,786 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  8356. 2022-11-10 22:27:31,123 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  8357. 2022-11-10 22:27:31,467 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  8358. 2022-11-10 22:27:31,798 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  8359. 2022-11-10 22:27:32,144 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  8360. 2022-11-10 22:27:32,488 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  8361. 2022-11-10 22:27:32,820 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  8362. 2022-11-10 22:27:33,161 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  8363. 2022-11-10 22:27:33,494 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  8364. 2022-11-10 22:27:33,828 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  8365. 2022-11-10 22:27:34,169 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  8366. 2022-11-10 22:27:34,506 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  8367. 2022-11-10 22:27:34,836 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  8368. 2022-11-10 22:27:35,171 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  8369. 2022-11-10 22:27:35,503 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  8370. 2022-11-10 22:27:35,844 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  8371. 2022-11-10 22:27:36,183 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  8372. 2022-11-10 22:27:36,516 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  8373. 2022-11-10 22:27:36,859 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  8374. 2022-11-10 22:27:37,195 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  8375. 2022-11-10 22:27:37,534 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  8376. 2022-11-10 22:27:37,874 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  8377. 2022-11-10 22:27:38,214 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  8378. 2022-11-10 22:27:38,555 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  8379. 2022-11-10 22:27:38,883 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  8380. 2022-11-10 22:27:39,226 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  8381. 2022-11-10 22:27:39,555 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  8382. 2022-11-10 22:27:39,896 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  8383. 2022-11-10 22:27:40,234 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  8384. 2022-11-10 22:27:40,571 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  8385. 2022-11-10 22:27:40,911 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  8386. 2022-11-10 22:27:41,250 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  8387. 2022-11-10 22:27:41,589 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  8388. 2022-11-10 22:27:41,927 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  8389. 2022-11-10 22:27:42,266 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  8390. 2022-11-10 22:27:42,607 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  8391. 2022-11-10 22:27:42,932 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  8392. 2022-11-10 22:27:43,266 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  8393. 2022-11-10 22:27:43,602 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  8394. 2022-11-10 22:27:43,936 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  8395. 2022-11-10 22:27:44,282 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  8396. 2022-11-10 22:27:44,612 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  8397. 2022-11-10 22:27:44,958 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  8398. 2022-11-10 22:27:45,294 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  8399. 2022-11-10 22:27:45,632 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  8400. 2022-11-10 22:27:45,969 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  8401. 2022-11-10 22:27:46,298 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  8402. 2022-11-10 22:27:46,638 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  8403. 2022-11-10 22:27:46,980 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  8404. 2022-11-10 22:27:47,314 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  8405. 2022-11-10 22:27:47,643 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  8406. 2022-11-10 22:27:47,986 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  8407. 2022-11-10 22:27:48,333 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  8408. 2022-11-10 22:27:48,672 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  8409. 2022-11-10 22:27:49,009 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  8410. 2022-11-10 22:27:49,346 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  8411. 2022-11-10 22:27:49,685 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  8412. 2022-11-10 22:27:50,029 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  8413. 2022-11-10 22:27:50,376 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  8414. 2022-11-10 22:27:50,717 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  8415. 2022-11-10 22:27:51,060 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  8416. 2022-11-10 22:27:51,282 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  8417. 2022-11-10 22:27:51,619 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  8418. 2022-11-10 22:27:51,956 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  8419. 2022-11-10 22:27:52,296 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  8420. 2022-11-10 22:27:52,640 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  8421. 2022-11-10 22:27:52,972 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  8422. 2022-11-10 22:27:53,309 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  8423. 2022-11-10 22:27:53,642 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  8424. 2022-11-10 22:27:53,979 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  8425. 2022-11-10 22:27:54,313 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  8426. 2022-11-10 22:27:54,646 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  8427. 2022-11-10 22:27:54,865 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  8428. 2022-11-10 22:27:55,192 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  8429. 2022-11-10 22:27:55,536 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  8430. 2022-11-10 22:27:55,873 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  8431. 2022-11-10 22:27:56,211 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  8432. 2022-11-10 22:27:56,553 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  8433. 2022-11-10 22:27:56,902 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  8434. 2022-11-10 22:27:57,245 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  8435. 2022-11-10 22:27:57,587 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  8436. 2022-11-10 22:27:57,929 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  8437. 2022-11-10 22:27:58,270 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  8438. 2022-11-10 22:27:58,622 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  8439. 2022-11-10 22:27:58,961 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  8440. 2022-11-10 22:27:59,301 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  8441. 2022-11-10 22:27:59,637 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  8442. 2022-11-10 22:27:59,849 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  8443. 2022-11-10 22:28:00,182 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  8444. 2022-11-10 22:28:00,525 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  8445. 2022-11-10 22:28:00,866 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  8446. 2022-11-10 22:28:01,203 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  8447. 2022-11-10 22:28:01,542 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  8448. 2022-11-10 22:28:01,887 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  8449. 2022-11-10 22:28:02,228 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  8450. 2022-11-10 22:28:02,571 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  8451. 2022-11-10 22:28:02,908 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  8452. 2022-11-10 22:28:03,235 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  8453. 2022-11-10 22:28:03,577 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  8454. 2022-11-10 22:28:03,911 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  8455. 2022-11-10 22:28:04,256 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  8456. 2022-11-10 22:28:04,592 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  8457. 2022-11-10 22:28:04,939 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  8458. 2022-11-10 22:28:05,288 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  8459. 2022-11-10 22:28:25,351 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  8460. 2022-11-10 22:28:59,707 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  8461. 2022-11-10 22:29:03,757 - INFO - main.py - train - 87 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  8462. 2022-11-10 22:33:10,712 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/200 loss£º1.694482
  8463. 2022-11-10 22:33:11,037 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/200 loss£º1.499144
  8464. 2022-11-10 22:33:11,363 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/200 loss£º1.123996
  8465. 2022-11-10 22:33:11,696 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/200 loss£º0.625085
  8466. 2022-11-10 22:33:12,015 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/200 loss£º1.164915
  8467. 2022-11-10 22:33:12,337 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/200 loss£º0.201317
  8468. 2022-11-10 22:33:12,670 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/200 loss£º0.209974
  8469. 2022-11-10 22:33:12,985 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/200 loss£º0.069630
  8470. 2022-11-10 22:33:13,311 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/200 loss£º0.066316
  8471. 2022-11-10 22:33:13,638 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/200 loss£º0.030863
  8472. 2022-11-10 22:33:13,963 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/200 loss£º0.035351
  8473. 2022-11-10 22:33:14,295 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/200 loss£º0.016563
  8474. 2022-11-10 22:33:14,614 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/200 loss£º0.019172
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  8476. 2022-11-10 22:33:15,145 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/200 loss£º0.011039
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  8478. 2022-11-10 22:33:15,675 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/200 loss£º0.003502
  8479. 2022-11-10 22:33:16,000 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/200 loss£º0.009001
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  8481. 2022-11-10 22:33:16,662 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/200 loss£º0.003290
  8482. 2022-11-10 22:33:16,984 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/200 loss£º0.003202
  8483. 2022-11-10 22:33:17,309 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/200 loss£º0.005262
  8484. 2022-11-10 22:33:17,634 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/200 loss£º0.003604
  8485. 2022-11-10 22:33:17,961 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/200 loss£º0.003385
  8486. 2022-11-10 22:33:18,291 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/200 loss£º0.001615
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  8489. 2022-11-10 22:33:19,253 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/200 loss£º0.001739
  8490. 2022-11-10 22:33:19,583 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/200 loss£º4.105797
  8491. 2022-11-10 22:33:19,901 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/200 loss£º0.005065
  8492. 2022-11-10 22:33:20,229 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/200 loss£º0.003172
  8493. 2022-11-10 22:33:20,552 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/200 loss£º0.003677
  8494. 2022-11-10 22:33:20,874 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/200 loss£º3.325720
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  8496. 2022-11-10 22:33:21,529 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/200 loss£º0.008313
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  8506. 2022-11-10 22:33:24,690 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/200 loss£º0.065056
  8507. 2022-11-10 22:33:25,008 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/200 loss£º0.028478
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  8509. 2022-11-10 22:33:25,663 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/200 loss£º0.044330
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  8514. 2022-11-10 22:33:27,167 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/200 loss£º1.383365
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  8523. 2022-11-10 22:33:30,096 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/200 loss£º1.165219
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  8540. 2022-11-10 22:33:35,147 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/200 loss£º0.024614
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  8553. 2022-11-10 22:33:39,289 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/200 loss£º0.016467
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  8556. 2022-11-10 22:33:40,287 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/200 loss£º0.010983
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  8559. 2022-11-10 22:33:41,268 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/200 loss£º1.593594
  8560. 2022-11-10 22:33:41,596 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/200 loss£º0.017314
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  8562. 2022-11-10 22:33:42,137 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/200 loss£º0.049522
  8563. 2022-11-10 22:33:42,457 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/200 loss£º0.027292
  8564. 2022-11-10 22:33:42,777 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/200 loss£º0.037234
  8565. 2022-11-10 22:33:43,107 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/200 loss£º0.036596
  8566. 2022-11-10 22:33:43,432 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/200 loss£º1.457014
  8567. 2022-11-10 22:33:43,755 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/200 loss£º0.044092
  8568. 2022-11-10 22:33:44,091 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/200 loss£º0.067292
  8569. 2022-11-10 22:33:44,424 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/200 loss£º1.623168
  8570. 2022-11-10 22:33:44,744 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/200 loss£º0.115475
  8571. 2022-11-10 22:33:45,079 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/200 loss£º0.247144
  8572. 2022-11-10 22:33:45,402 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/200 loss£º0.135680
  8573. 2022-11-10 22:33:45,727 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/200 loss£º0.117617
  8574. 2022-11-10 22:33:46,053 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/200 loss£º0.190472
  8575. 2022-11-10 22:33:46,389 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/200 loss£º0.156819
  8576. 2022-11-10 22:33:46,594 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/200 loss£º0.067849
  8577. 2022-11-10 22:33:46,919 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/200 loss£º0.125511
  8578. 2022-11-10 22:33:47,243 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/200 loss£º0.179801
  8579. 2022-11-10 22:33:47,571 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/200 loss£º0.169508
  8580. 2022-11-10 22:33:47,903 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/200 loss£º0.064129
  8581. 2022-11-10 22:33:48,233 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/200 loss£º0.055570
  8582. 2022-11-10 22:33:48,562 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/200 loss£º0.027426
  8583. 2022-11-10 22:33:48,884 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/200 loss£º0.031430
  8584. 2022-11-10 22:33:49,091 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/200 loss£º0.006711
  8585. 2022-11-10 22:33:49,417 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/200 loss£º0.025743
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  8587. 2022-11-10 22:33:50,063 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/200 loss£º0.011855
  8588. 2022-11-10 22:33:50,390 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/200 loss£º0.009019
  8589. 2022-11-10 22:33:50,713 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/200 loss£º0.011060
  8590. 2022-11-10 22:33:51,041 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/200 loss£º0.005396
  8591. 2022-11-10 22:33:51,367 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/200 loss£º0.013137
  8592. 2022-11-10 22:33:51,691 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/200 loss£º0.005979
  8593. 2022-11-10 22:33:52,024 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/200 loss£º0.007407
  8594. 2022-11-10 22:33:52,351 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/200 loss£º0.005427
  8595. 2022-11-10 22:33:52,677 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/200 loss£º0.007785
  8596. 2022-11-10 22:33:52,885 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/200 loss£º0.003861
  8597. 2022-11-10 22:33:53,205 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/200 loss£º0.004993
  8598. 2022-11-10 22:33:53,537 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/200 loss£º0.002826
  8599. 2022-11-10 22:33:53,868 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/200 loss£º1.407439
  8600. 2022-11-10 22:33:54,199 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/200 loss£º1.766741
  8601. 2022-11-10 22:33:54,528 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/200 loss£º0.006852
  8602. 2022-11-10 22:33:54,852 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/200 loss£º1.894526
  8603. 2022-11-10 22:33:55,177 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/200 loss£º0.014511
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  8605. 2022-11-10 22:33:55,831 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/200 loss£º0.025878
  8606. 2022-11-10 22:33:56,158 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/200 loss£º0.253670
  8607. 2022-11-10 22:33:56,487 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/200 loss£º0.061386
  8608. 2022-11-10 22:33:56,820 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/200 loss£º0.067491
  8609. 2022-11-10 22:33:57,147 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/200 loss£º0.093158
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  8611. 2022-11-10 22:33:57,815 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/200 loss£º0.053746
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  8618. 2022-11-10 22:34:00,004 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:156/200 loss£º0.085432
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  8631. 2022-11-10 22:34:04,329 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:169/200 loss£º0.227698
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  8634. 2022-11-10 22:34:05,322 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/200 loss£º0.072137
  8635. 2022-11-10 22:34:05,655 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:173/200 loss£º0.036847
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  8639. 2022-11-10 22:34:06,980 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/200 loss£º1.158147
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  8641. 2022-11-10 22:34:07,650 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:179/200 loss£º0.033312
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  8643. 2022-11-10 22:34:08,315 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:181/200 loss£º0.091294
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  8645. 2022-11-10 22:34:08,974 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:183/200 loss£º0.023986
  8646. 2022-11-10 22:34:09,314 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:184/200 loss£º0.085160
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  8651. 2022-11-10 22:34:10,946 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:189/200 loss£º0.047064
  8652. 2022-11-10 22:34:11,275 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:190/200 loss£º0.024465
  8653. 2022-11-10 22:34:11,603 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:191/200 loss£º0.041162
  8654. 2022-11-10 22:34:11,938 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:192/200 loss£º0.036800
  8655. 2022-11-10 22:34:12,272 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:193/200 loss£º0.035416
  8656. 2022-11-10 22:34:12,599 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:194/200 loss£º0.028579
  8657. 2022-11-10 22:34:12,940 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:195/200 loss£º0.012169
  8658. 2022-11-10 22:34:13,277 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:196/200 loss£º0.015942
  8659. 2022-11-10 22:34:13,611 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:197/200 loss£º0.037254
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  8661. 2022-11-10 22:34:14,274 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:199/200 loss£º0.011020
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  8663. 2022-11-10 22:34:14,926 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:201/200 loss£º0.027680
  8664. 2022-11-10 22:34:15,258 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:202/200 loss£º0.004560
  8665. 2022-11-10 22:34:15,598 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:203/200 loss£º0.796982
  8666. 2022-11-10 22:34:15,933 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:204/200 loss£º0.008622
  8667. 2022-11-10 22:34:16,263 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/200 loss£º0.003542
  8668. 2022-11-10 22:34:16,588 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/200 loss£º0.010381
  8669. 2022-11-10 22:34:16,923 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:207/200 loss£º0.031889
  8670. 2022-11-10 22:34:17,260 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/200 loss£º0.208544
  8671. 2022-11-10 22:34:17,591 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/200 loss£º0.015490
  8672. 2022-11-10 22:34:17,923 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/200 loss£º0.011979
  8673. 2022-11-10 22:34:18,246 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/200 loss£º0.015585
  8674. 2022-11-10 22:34:18,577 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/200 loss£º0.016168
  8675. 2022-11-10 22:34:18,905 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:213/200 loss£º0.009844
  8676. 2022-11-10 22:34:19,240 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/200 loss£º0.036334
  8677. 2022-11-10 22:34:19,569 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:215/200 loss£º0.087360
  8678. 2022-11-10 22:34:19,895 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:216/200 loss£º0.048759
  8679. 2022-11-10 22:34:20,234 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/200 loss£º0.019913
  8680. 2022-11-10 22:34:20,562 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/200 loss£º0.004822
  8681. 2022-11-10 22:34:20,896 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/200 loss£º0.074628
  8682. 2022-11-10 22:34:21,224 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/200 loss£º0.059844
  8683. 2022-11-10 22:34:21,560 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/200 loss£º0.027297
  8684. 2022-11-10 22:34:21,895 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/200 loss£º0.004288
  8685. 2022-11-10 22:34:22,227 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/200 loss£º0.025521
  8686. 2022-11-10 22:34:22,566 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/200 loss£º0.003239
  8687. 2022-11-10 22:34:22,888 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/200 loss£º0.003322
  8688. 2022-11-10 22:34:23,219 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/200 loss£º0.006306
  8689. 2022-11-10 22:34:23,557 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/200 loss£º0.018402
  8690. 2022-11-10 22:34:23,888 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/200 loss£º0.003291
  8691. 2022-11-10 22:34:24,221 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/200 loss£º0.549904
  8692. 2022-11-10 22:34:24,551 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/200 loss£º0.006846
  8693. 2022-11-10 22:34:24,877 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/200 loss£º0.004560
  8694. 2022-11-10 22:34:25,205 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/200 loss£º0.013681
  8695. 2022-11-10 22:34:25,545 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/200 loss£º0.012699
  8696. 2022-11-10 22:34:25,871 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/200 loss£º0.007482
  8697. 2022-11-10 22:34:26,206 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/200 loss£º0.015700
  8698. 2022-11-10 22:34:26,423 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/200 loss£º0.008847
  8699. 2022-11-10 22:34:26,752 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/200 loss£º0.382613
  8700. 2022-11-10 22:34:27,090 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/200 loss£º1.883562
  8701. 2022-11-10 22:34:27,430 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/200 loss£º0.001580
  8702. 2022-11-10 22:34:27,762 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/200 loss£º0.003220
  8703. 2022-11-10 22:34:28,093 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/200 loss£º0.013407
  8704. 2022-11-10 22:34:28,423 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/200 loss£º2.334862
  8705. 2022-11-10 22:34:28,748 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/200 loss£º0.212771
  8706. 2022-11-10 22:39:06,157 - INFO - main.py - <module> - 296 - ========½øÐвâÊÔ========
  8707. 2022-11-10 22:42:33,782 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  8708. 2022-11-10 22:42:34,101 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  8709. 2022-11-10 22:42:34,426 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  8710. 2022-11-10 22:42:34,751 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  8711. 2022-11-10 22:42:35,080 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  8712. 2022-11-10 22:42:35,408 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  8713. 2022-11-10 22:42:35,732 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  8714. 2022-11-10 22:42:36,058 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  8715. 2022-11-10 22:42:36,386 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  8716. 2022-11-10 22:42:36,711 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  8717. 2022-11-10 22:42:37,034 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  8718. 2022-11-10 22:42:37,358 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  8719. 2022-11-10 22:42:37,672 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  8720. 2022-11-10 22:42:37,996 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  8721. 2022-11-10 22:42:38,210 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  8722. 2022-11-10 22:42:38,538 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  8723. 2022-11-10 22:42:38,741 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  8724. 2022-11-10 22:42:39,066 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  8725. 2022-11-10 22:42:39,398 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  8726. 2022-11-10 22:42:39,731 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  8727. 2022-11-10 22:42:40,055 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  8728. 2022-11-10 22:42:40,377 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  8729. 2022-11-10 22:42:40,697 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  8730. 2022-11-10 22:42:41,022 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  8731. 2022-11-10 22:42:41,359 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  8732. 2022-11-10 22:42:41,686 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  8733. 2022-11-10 22:42:42,010 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  8734. 2022-11-10 22:42:42,343 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  8735. 2022-11-10 22:42:42,674 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  8736. 2022-11-10 22:42:42,989 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  8737. 2022-11-10 22:42:43,318 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  8738. 2022-11-10 22:42:43,641 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  8739. 2022-11-10 22:42:43,966 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  8740. 2022-11-10 22:42:44,295 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  8741. 2022-11-10 22:42:44,614 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  8742. 2022-11-10 22:42:44,936 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  8743. 2022-11-10 22:42:45,263 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  8744. 2022-11-10 22:42:45,584 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  8745. 2022-11-10 22:42:45,792 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  8746. 2022-11-10 22:42:46,122 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  8747. 2022-11-10 22:42:46,449 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  8748. 2022-11-10 22:42:46,780 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  8749. 2022-11-10 22:42:47,110 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  8750. 2022-11-10 22:42:47,441 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  8751. 2022-11-10 22:42:47,770 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  8752. 2022-11-10 22:42:48,104 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  8753. 2022-11-10 22:42:48,438 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  8754. 2022-11-10 22:42:48,771 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  8755. 2022-11-10 22:42:49,104 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  8756. 2022-11-10 22:42:49,422 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  8757. 2022-11-10 22:42:49,625 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  8758. 2022-11-10 22:42:49,946 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  8759. 2022-11-10 22:42:50,278 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  8760. 2022-11-10 22:42:50,605 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  8761. 2022-11-10 22:42:50,934 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  8762. 2022-11-10 22:42:51,266 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  8763. 2022-11-10 22:42:51,592 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  8764. 2022-11-10 22:42:51,916 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  8765. 2022-11-10 22:42:52,246 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  8766. 2022-11-10 22:42:52,575 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  8767. 2022-11-10 22:42:52,905 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
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  8769. 2022-11-10 22:42:53,563 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  8770. 2022-11-10 22:42:53,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  8771. 2022-11-10 22:42:54,203 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  8772. 2022-11-10 22:42:54,532 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  8773. 2022-11-10 22:42:54,738 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  8774. 2022-11-10 22:42:55,059 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  8775. 2022-11-10 22:42:55,394 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  8776. 2022-11-10 22:42:55,606 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  8777. 2022-11-10 22:42:55,930 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  8778. 2022-11-10 22:42:56,256 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  8779. 2022-11-10 22:42:56,469 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  8780. 2022-11-10 22:42:56,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  8781. 2022-11-10 22:42:57,008 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  8782. 2022-11-10 22:42:57,339 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  8783. 2022-11-10 22:42:57,662 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
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  8785. 2022-11-10 22:42:58,310 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  8786. 2022-11-10 22:42:58,637 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  8787. 2022-11-10 22:42:58,955 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  8788. 2022-11-10 22:42:59,272 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  8789. 2022-11-10 22:42:59,600 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  8790. 2022-11-10 22:42:59,921 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  8791. 2022-11-10 22:43:00,244 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  8792. 2022-11-10 22:43:00,589 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  8793. 2022-11-10 22:43:00,920 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  8794. 2022-11-10 22:43:01,244 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  8795. 2022-11-10 22:43:01,578 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  8796. 2022-11-10 22:43:01,784 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  8797. 2022-11-10 22:43:02,120 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  8798. 2022-11-10 22:43:02,454 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  8799. 2022-11-10 22:43:02,787 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  8800. 2022-11-10 22:43:03,114 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
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  8802. 2022-11-10 22:43:03,782 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  8803. 2022-11-10 22:43:04,110 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  8804. 2022-11-10 22:43:04,436 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  8805. 2022-11-10 22:43:04,772 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  8806. 2022-11-10 22:43:05,095 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  8807. 2022-11-10 22:48:20,038 - INFO - main.py - <module> - 295 - ========½øÐвâÊÔ========
  8808. 2022-11-10 23:00:58,832 - INFO - main.py - <module> - 295 - ========½øÐвâÊÔ========
  8809. 2022-11-10 23:05:50,884 - INFO - main.py - <module> - 295 - ========½øÐвâÊÔ========
  8810. 2022-11-10 23:06:20,482 - INFO - main.py - <module> - 295 - ========½øÐвâÊÔ========
  8811. 2022-11-10 23:07:39,371 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  8812. 2022-11-10 23:07:39,695 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  8813. 2022-11-10 23:07:40,021 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  8814. 2022-11-10 23:07:40,348 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  8815. 2022-11-10 23:07:40,670 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  8816. 2022-11-10 23:07:40,989 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  8817. 2022-11-10 23:07:41,323 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  8818. 2022-11-10 23:07:41,649 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  8819. 2022-11-10 23:07:41,974 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  8820. 2022-11-10 23:07:42,299 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  8821. 2022-11-10 23:07:42,620 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  8822. 2022-11-10 23:07:42,942 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  8823. 2022-11-10 23:07:43,264 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  8824. 2022-11-10 23:07:43,591 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  8825. 2022-11-10 23:07:43,800 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  8826. 2022-11-10 23:07:44,124 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  8827. 2022-11-10 23:07:44,331 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  8828. 2022-11-10 23:07:44,667 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  8829. 2022-11-10 23:07:44,996 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  8830. 2022-11-10 23:07:45,322 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  8831. 2022-11-10 23:07:45,651 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  8832. 2022-11-10 23:07:45,979 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  8833. 2022-11-10 23:07:46,303 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  8834. 2022-11-10 23:07:46,633 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  8835. 2022-11-10 23:07:46,962 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  8836. 2022-11-10 23:07:47,283 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  8837. 2022-11-10 23:07:47,602 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  8838. 2022-11-10 23:07:47,929 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  8839. 2022-11-10 23:07:48,256 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  8840. 2022-11-10 23:07:48,578 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  8841. 2022-11-10 23:07:48,903 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  8842. 2022-11-10 23:07:49,223 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  8843. 2022-11-10 23:07:49,556 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  8844. 2022-11-10 23:07:49,880 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  8845. 2022-11-10 23:07:50,207 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  8846. 2022-11-10 23:07:50,538 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  8847. 2022-11-10 23:07:50,871 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  8848. 2022-11-10 23:07:51,189 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  8849. 2022-11-10 23:07:51,398 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  8850. 2022-11-10 23:07:51,728 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  8851. 2022-11-10 23:07:52,054 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  8852. 2022-11-10 23:07:52,382 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  8853. 2022-11-10 23:07:52,717 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  8854. 2022-11-10 23:07:53,047 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  8855. 2022-11-10 23:07:53,380 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  8856. 2022-11-10 23:07:53,710 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  8857. 2022-11-10 23:07:54,032 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  8858. 2022-11-10 23:07:54,350 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  8859. 2022-11-10 23:07:54,684 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  8860. 2022-11-10 23:07:55,004 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  8861. 2022-11-10 23:07:55,206 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  8862. 2022-11-10 23:07:55,527 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  8863. 2022-11-10 23:07:55,857 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  8864. 2022-11-10 23:07:56,182 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  8865. 2022-11-10 23:07:56,497 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  8866. 2022-11-10 23:07:56,834 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  8867. 2022-11-10 23:07:57,162 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  8868. 2022-11-10 23:07:57,490 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  8869. 2022-11-10 23:07:57,830 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  8870. 2022-11-10 23:07:58,160 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  8871. 2022-11-10 23:07:58,491 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  8872. 2022-11-10 23:07:58,821 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  8873. 2022-11-10 23:07:59,144 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  8874. 2022-11-10 23:07:59,470 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  8875. 2022-11-10 23:07:59,803 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  8876. 2022-11-10 23:08:00,130 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  8877. 2022-11-10 23:08:00,338 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  8878. 2022-11-10 23:08:00,665 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  8879. 2022-11-10 23:08:00,993 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  8880. 2022-11-10 23:08:01,205 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  8881. 2022-11-10 23:08:01,524 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  8882. 2022-11-10 23:08:01,857 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  8883. 2022-11-10 23:08:02,060 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  8884. 2022-11-10 23:08:02,265 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  8885. 2022-11-10 23:08:02,589 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  8886. 2022-11-10 23:08:02,919 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  8887. 2022-11-10 23:08:03,245 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  8888. 2022-11-10 23:08:03,568 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  8889. 2022-11-10 23:08:03,892 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  8890. 2022-11-10 23:08:04,226 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  8891. 2022-11-10 23:08:04,551 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  8892. 2022-11-10 23:08:04,876 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  8893. 2022-11-10 23:08:05,200 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  8894. 2022-11-10 23:08:05,530 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  8895. 2022-11-10 23:08:05,854 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  8896. 2022-11-10 23:08:06,183 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  8897. 2022-11-10 23:08:06,516 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  8898. 2022-11-10 23:08:06,850 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  8899. 2022-11-10 23:08:07,178 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  8900. 2022-11-10 23:08:07,384 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  8901. 2022-11-10 23:08:07,718 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  8902. 2022-11-10 23:08:08,051 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  8903. 2022-11-10 23:08:08,380 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  8904. 2022-11-10 23:08:08,722 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  8905. 2022-11-10 23:08:09,054 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  8906. 2022-11-10 23:08:09,383 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  8907. 2022-11-10 23:08:09,710 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  8908. 2022-11-10 23:08:10,038 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  8909. 2022-11-10 23:08:10,378 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  8910. 2022-11-10 23:08:10,704 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  8911. 2022-11-10 23:08:10,917 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  8912. 2022-11-10 23:08:11,243 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  8913. 2022-11-10 23:08:11,577 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  8914. 2022-11-10 23:08:11,915 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  8915. 2022-11-10 23:08:12,244 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  8916. 2022-11-10 23:08:12,569 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  8917. 2022-11-10 23:08:12,906 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  8918. 2022-11-10 23:08:13,232 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  8919. 2022-11-10 23:08:13,559 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  8920. 2022-11-10 23:08:13,885 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  8921. 2022-11-10 23:08:14,209 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  8922. 2022-11-10 23:08:14,536 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  8923. 2022-11-10 23:08:14,863 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  8924. 2022-11-10 23:08:15,201 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  8925. 2022-11-10 23:08:15,406 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  8926. 2022-11-10 23:08:15,728 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  8927. 2022-11-10 23:08:16,054 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  8928. 2022-11-10 23:08:16,379 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  8929. 2022-11-10 23:08:16,705 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  8930. 2022-11-10 23:08:17,029 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  8931. 2022-11-10 23:08:17,361 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  8932. 2022-11-10 23:08:17,693 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  8933. 2022-11-10 23:08:17,900 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  8934. 2022-11-10 23:08:18,227 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  8935. 2022-11-10 23:08:18,551 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  8936. 2022-11-10 23:08:18,873 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  8937. 2022-11-10 23:08:19,196 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  8938. 2022-11-10 23:08:19,516 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  8939. 2022-11-10 23:08:19,846 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  8940. 2022-11-10 23:08:20,174 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  8941. 2022-11-10 23:08:20,505 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  8942. 2022-11-10 23:08:20,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  8943. 2022-11-10 23:08:21,165 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  8944. 2022-11-10 23:08:21,490 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  8945. 2022-11-10 23:08:21,697 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  8946. 2022-11-10 23:08:22,034 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  8947. 2022-11-10 23:08:22,363 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  8948. 2022-11-10 23:08:22,700 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  8949. 2022-11-10 23:08:23,028 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  8950. 2022-11-10 23:08:23,350 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  8951. 2022-11-10 23:08:23,678 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  8952. 2022-11-10 23:08:24,007 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  8953. 2022-11-10 23:08:24,341 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  8954. 2022-11-10 23:08:24,672 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  8955. 2022-11-10 23:08:25,008 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  8956. 2022-11-10 23:08:25,336 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  8957. 2022-11-10 23:08:25,665 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  8958. 2022-11-10 23:08:25,996 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  8959. 2022-11-10 23:08:26,335 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  8960. 2022-11-10 23:08:26,670 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  8961. 2022-11-10 23:08:27,000 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  8962. 2022-11-10 23:08:27,207 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  8963. 2022-11-10 23:08:27,537 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  8964. 2022-11-10 23:08:27,872 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  8965. 2022-11-10 23:08:28,200 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  8966. 2022-11-10 23:08:28,534 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  8967. 2022-11-10 23:08:28,863 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  8968. 2022-11-10 23:08:29,197 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  8969. 2022-11-10 23:08:29,535 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  8970. 2022-11-10 23:08:29,864 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  8971. 2022-11-10 23:08:30,198 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  8972. 2022-11-10 23:08:30,523 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  8973. 2022-11-10 23:08:30,847 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  8974. 2022-11-10 23:08:31,185 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  8975. 2022-11-10 23:08:31,524 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  8976. 2022-11-10 23:08:31,851 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  8977. 2022-11-10 23:08:32,186 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  8978. 2022-11-10 23:08:32,514 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  8979. 2022-11-10 23:08:32,843 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  8980. 2022-11-10 23:08:33,175 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  8981. 2022-11-10 23:08:33,503 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  8982. 2022-11-10 23:08:33,833 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  8983. 2022-11-10 23:08:34,167 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  8984. 2022-11-10 23:08:34,503 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  8985. 2022-11-10 23:08:34,833 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  8986. 2022-11-10 23:08:35,173 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  8987. 2022-11-10 23:08:35,502 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  8988. 2022-11-10 23:08:35,845 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  8989. 2022-11-10 23:08:36,183 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  8990. 2022-11-10 23:08:36,506 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  8991. 2022-11-10 23:08:36,842 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  8992. 2022-11-10 23:08:37,175 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  8993. 2022-11-10 23:08:37,508 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  8994. 2022-11-10 23:08:37,842 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  8995. 2022-11-10 23:08:38,176 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  8996. 2022-11-10 23:08:38,509 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  8997. 2022-11-10 23:08:38,840 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  8998. 2022-11-10 23:08:39,170 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  8999. 2022-11-10 23:08:39,497 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  9000. 2022-11-10 23:08:39,828 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  9001. 2022-11-10 23:08:40,162 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  9002. 2022-11-10 23:08:40,492 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  9003. 2022-11-10 23:08:40,833 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  9004. 2022-11-10 23:08:41,169 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  9005. 2022-11-10 23:08:41,495 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  9006. 2022-11-10 23:08:41,834 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  9007. 2022-11-10 23:08:42,173 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  9008. 2022-11-10 23:08:42,515 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  9009. 2022-11-10 23:08:42,850 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  9010. 2022-11-10 23:08:43,183 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  9011. 2022-11-10 23:08:43,522 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  9012. 2022-11-10 23:08:43,851 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  9013. 2022-11-10 23:08:44,180 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  9014. 2022-11-10 23:08:44,518 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  9015. 2022-11-10 23:08:44,850 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  9016. 2022-11-10 23:08:45,184 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  9017. 2022-11-10 23:08:45,516 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  9018. 2022-11-10 23:08:45,852 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  9019. 2022-11-10 23:08:46,185 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  9020. 2022-11-10 23:08:46,515 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  9021. 2022-11-10 23:08:46,847 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  9022. 2022-11-10 23:08:47,174 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  9023. 2022-11-10 23:08:47,509 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  9024. 2022-11-10 23:08:47,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  9025. 2022-11-10 23:08:48,172 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  9026. 2022-11-10 23:08:48,498 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  9027. 2022-11-10 23:08:48,828 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  9028. 2022-11-10 23:08:49,182 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  9029. 2022-11-10 23:08:49,506 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  9030. 2022-11-10 23:08:49,834 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  9031. 2022-11-10 23:08:50,161 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  9032. 2022-11-10 23:08:50,492 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  9033. 2022-11-10 23:08:50,827 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  9034. 2022-11-10 23:08:51,161 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  9035. 2022-11-10 23:08:51,495 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  9036. 2022-11-10 23:08:51,821 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  9037. 2022-11-10 23:08:52,154 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  9038. 2022-11-10 23:08:52,492 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  9039. 2022-11-10 23:08:52,833 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  9040. 2022-11-10 23:08:53,160 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  9041. 2022-11-10 23:08:53,494 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  9042. 2022-11-10 23:08:53,826 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  9043. 2022-11-10 23:08:54,155 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  9044. 2022-11-10 23:08:54,497 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  9045. 2022-11-10 23:08:54,833 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  9046. 2022-11-10 23:08:55,163 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  9047. 2022-11-10 23:08:55,376 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  9048. 2022-11-10 23:08:55,711 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  9049. 2022-11-10 23:08:56,044 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  9050. 2022-11-10 23:08:56,383 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  9051. 2022-11-10 23:08:56,722 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  9052. 2022-11-10 23:08:57,050 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  9053. 2022-11-10 23:08:57,379 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  9054. 2022-11-10 23:08:57,713 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  9055. 2022-11-10 23:08:58,041 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  9056. 2022-11-10 23:08:58,368 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  9057. 2022-11-10 23:08:58,701 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  9058. 2022-11-10 23:08:58,914 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  9059. 2022-11-10 23:08:59,241 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  9060. 2022-11-10 23:08:59,578 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  9061. 2022-11-10 23:08:59,905 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  9062. 2022-11-10 23:09:00,234 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  9063. 2022-11-10 23:09:00,567 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  9064. 2022-11-10 23:09:00,912 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  9065. 2022-11-10 23:09:01,254 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  9066. 2022-11-10 23:09:01,594 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  9067. 2022-11-10 23:09:01,925 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  9068. 2022-11-10 23:09:02,264 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  9069. 2022-11-10 23:09:02,603 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  9070. 2022-11-10 23:09:02,930 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  9071. 2022-11-10 23:09:03,260 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  9072. 2022-11-10 23:09:03,600 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  9073. 2022-11-10 23:09:03,810 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  9074. 2022-11-10 23:09:04,144 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
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  9077. 2022-11-10 23:09:05,143 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  9078. 2022-11-10 23:09:05,479 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  9079. 2022-11-10 23:09:05,809 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  9080. 2022-11-10 23:09:06,135 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  9081. 2022-11-10 23:09:06,475 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  9082. 2022-11-10 23:09:06,802 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  9083. 2022-11-10 23:09:07,128 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  9084. 2022-11-10 23:09:07,472 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  9085. 2022-11-10 23:09:07,803 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  9086. 2022-11-10 23:09:08,136 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  9087. 2022-11-10 23:09:08,457 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  9088. 2022-11-10 23:09:08,795 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  9089. 2022-11-10 23:09:09,134 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  9090. 2022-11-10 23:09:09,469 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  9091. 2022-11-10 23:09:09,805 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  9092. 2022-11-10 23:09:10,017 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  9093. 2022-11-10 23:17:31,351 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  9094. 2022-11-10 23:17:31,673 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  9095. 2022-11-10 23:17:31,996 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  9096. 2022-11-10 23:17:32,322 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  9097. 2022-11-10 23:17:32,646 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  9098. 2022-11-10 23:17:32,979 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  9099. 2022-11-10 23:17:33,306 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  9100. 2022-11-10 23:17:33,631 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  9101. 2022-11-10 23:17:33,958 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  9102. 2022-11-10 23:17:34,288 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  9103. 2022-11-10 23:17:34,623 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  9104. 2022-11-10 23:17:34,948 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  9105. 2022-11-10 23:17:35,269 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  9106. 2022-11-10 23:17:35,598 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  9107. 2022-11-10 23:17:35,814 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  9108. 2022-11-10 23:17:36,140 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  9109. 2022-11-10 23:17:36,342 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  9110. 2022-11-10 23:17:36,671 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  9111. 2022-11-10 23:17:37,006 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  9112. 2022-11-10 23:17:37,334 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  9113. 2022-11-10 23:17:37,658 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  9114. 2022-11-10 23:17:37,985 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  9115. 2022-11-10 23:17:38,307 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  9116. 2022-11-10 23:17:38,630 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  9117. 2022-11-10 23:17:38,967 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  9118. 2022-11-10 23:17:39,292 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  9119. 2022-11-10 23:17:39,624 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  9120. 2022-11-10 23:17:39,947 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  9121. 2022-11-10 23:17:40,269 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  9122. 2022-11-10 23:17:40,596 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  9123. 2022-11-10 23:17:40,930 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  9124. 2022-11-10 23:17:41,257 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  9125. 2022-11-10 23:17:41,588 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  9126. 2022-11-10 23:17:41,914 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  9127. 2022-11-10 23:17:42,240 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  9128. 2022-11-10 23:17:42,564 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  9129. 2022-11-10 23:17:42,893 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  9130. 2022-11-10 23:17:43,213 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  9131. 2022-11-10 23:17:43,419 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  9132. 2022-11-10 23:17:43,755 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  9133. 2022-11-10 23:17:44,078 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  9134. 2022-11-10 23:17:44,405 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  9135. 2022-11-10 23:17:44,738 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  9136. 2022-11-10 23:17:45,074 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  9137. 2022-11-10 23:17:45,405 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  9138. 2022-11-10 23:17:45,730 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  9139. 2022-11-10 23:17:46,056 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  9140. 2022-11-10 23:17:46,384 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  9141. 2022-11-10 23:17:46,724 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  9142. 2022-11-10 23:17:47,047 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  9143. 2022-11-10 23:17:47,254 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  9144. 2022-11-10 23:17:47,578 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  9145. 2022-11-10 23:17:47,907 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  9146. 2022-11-10 23:17:48,241 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  9147. 2022-11-10 23:17:48,559 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  9148. 2022-11-10 23:17:48,896 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  9149. 2022-11-10 23:17:49,218 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  9150. 2022-11-10 23:17:49,548 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  9151. 2022-11-10 23:17:49,875 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  9152. 2022-11-10 23:17:50,206 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  9153. 2022-11-10 23:17:50,537 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  9154. 2022-11-10 23:17:50,877 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  9155. 2022-11-10 23:17:51,210 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  9156. 2022-11-10 23:17:51,537 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  9157. 2022-11-10 23:17:51,864 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  9158. 2022-11-10 23:17:52,193 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  9159. 2022-11-10 23:17:52,406 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  9160. 2022-11-10 23:17:52,738 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  9161. 2022-11-10 23:17:53,067 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  9162. 2022-11-10 23:17:53,280 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  9163. 2022-11-10 23:17:53,607 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  9164. 2022-11-10 23:17:53,935 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  9165. 2022-11-10 23:17:54,152 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  9166. 2022-11-10 23:17:54,360 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  9167. 2022-11-10 23:17:54,698 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  9168. 2022-11-10 23:17:55,026 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  9169. 2022-11-10 23:17:55,358 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  9170. 2022-11-10 23:17:55,693 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  9171. 2022-11-10 23:17:56,020 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  9172. 2022-11-10 23:17:56,354 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  9173. 2022-11-10 23:17:56,680 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  9174. 2022-11-10 23:17:57,009 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  9175. 2022-11-10 23:17:57,336 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  9176. 2022-11-10 23:17:57,662 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  9177. 2022-11-10 23:17:57,993 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  9178. 2022-11-10 23:17:58,329 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  9179. 2022-11-10 23:17:58,668 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  9180. 2022-11-10 23:17:58,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  9181. 2022-11-10 23:17:59,329 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  9182. 2022-11-10 23:17:59,540 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  9183. 2022-11-10 23:17:59,910 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  9184. 2022-11-10 23:18:00,247 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  9185. 2022-11-10 23:18:00,573 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  9186. 2022-11-10 23:18:00,908 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  9187. 2022-11-10 23:18:01,241 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  9188. 2022-11-10 23:18:01,568 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  9189. 2022-11-10 23:18:01,907 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  9190. 2022-11-10 23:18:02,240 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  9191. 2022-11-10 23:18:02,575 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  9192. 2022-11-10 23:18:02,911 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  9193. 2022-11-10 23:18:03,129 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  9194. 2022-11-10 23:18:03,456 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  9195. 2022-11-10 23:18:03,789 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  9196. 2022-11-10 23:18:04,130 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  9197. 2022-11-10 23:18:04,461 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  9198. 2022-11-10 23:18:04,794 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  9199. 2022-11-10 23:18:05,135 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  9200. 2022-11-10 23:18:05,456 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  9201. 2022-11-10 23:18:05,791 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  9202. 2022-11-10 23:18:06,128 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  9203. 2022-11-10 23:18:06,457 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  9204. 2022-11-10 23:18:06,798 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  9205. 2022-11-10 23:18:07,127 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  9206. 2022-11-10 23:18:07,466 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  9207. 2022-11-10 23:18:07,674 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  9208. 2022-11-10 23:18:08,000 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  9209. 2022-11-10 23:18:08,337 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  9210. 2022-11-10 23:18:08,661 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  9211. 2022-11-10 23:18:08,996 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  9212. 2022-11-10 23:18:09,324 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  9213. 2022-11-10 23:18:09,665 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  9214. 2022-11-10 23:18:10,002 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  9215. 2022-11-10 23:18:10,208 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  9216. 2022-11-10 23:18:10,536 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  9217. 2022-11-10 23:18:10,862 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  9218. 2022-11-10 23:18:11,194 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  9219. 2022-11-10 23:18:11,532 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  9220. 2022-11-10 23:18:11,858 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  9221. 2022-11-10 23:18:12,208 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  9222. 2022-11-10 23:18:12,546 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  9223. 2022-11-10 23:18:12,883 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  9224. 2022-11-10 23:18:13,217 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  9225. 2022-11-10 23:18:13,547 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  9226. 2022-11-10 23:18:13,885 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  9227. 2022-11-10 23:18:14,105 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  9228. 2022-11-10 23:18:14,436 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  9229. 2022-11-10 23:18:14,773 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  9230. 2022-11-10 23:18:15,109 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  9231. 2022-11-10 23:18:15,439 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  9232. 2022-11-10 23:18:15,774 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  9233. 2022-11-10 23:18:16,111 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  9234. 2022-11-10 23:18:16,432 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  9235. 2022-11-10 23:18:16,759 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  9236. 2022-11-10 23:18:17,094 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  9237. 2022-11-10 23:18:17,431 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  9238. 2022-11-10 23:18:17,751 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  9239. 2022-11-10 23:18:18,090 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  9240. 2022-11-10 23:18:18,428 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  9241. 2022-11-10 23:18:18,760 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  9242. 2022-11-10 23:18:19,104 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  9243. 2022-11-10 23:18:19,438 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  9244. 2022-11-10 23:18:19,643 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  9245. 2022-11-10 23:18:19,973 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  9246. 2022-11-10 23:18:20,310 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  9247. 2022-11-10 23:18:20,636 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  9248. 2022-11-10 23:18:20,963 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  9249. 2022-11-10 23:18:21,301 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  9250. 2022-11-10 23:18:21,631 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  9251. 2022-11-10 23:18:21,963 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  9252. 2022-11-10 23:18:22,306 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  9253. 2022-11-10 23:18:22,643 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  9254. 2022-11-10 23:18:22,975 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  9255. 2022-11-10 23:18:23,312 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  9256. 2022-11-10 23:18:23,647 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  9257. 2022-11-10 23:18:23,990 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  9258. 2022-11-10 23:18:24,326 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  9259. 2022-11-10 23:18:24,658 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  9260. 2022-11-10 23:18:24,999 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  9261. 2022-11-10 23:18:25,349 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  9262. 2022-11-10 23:18:25,686 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  9263. 2022-11-10 23:18:26,014 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  9264. 2022-11-10 23:18:26,353 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  9265. 2022-11-10 23:18:26,683 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  9266. 2022-11-10 23:18:27,022 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  9267. 2022-11-10 23:18:27,355 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  9268. 2022-11-10 23:18:27,697 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  9269. 2022-11-10 23:18:28,032 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  9270. 2022-11-10 23:18:28,373 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  9271. 2022-11-10 23:18:28,707 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  9272. 2022-11-10 23:18:29,045 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  9273. 2022-11-10 23:18:29,383 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  9274. 2022-11-10 23:18:29,719 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  9275. 2022-11-10 23:18:30,053 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  9276. 2022-11-10 23:18:30,394 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  9277. 2022-11-10 23:18:30,736 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  9278. 2022-11-10 23:18:31,067 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  9279. 2022-11-10 23:18:31,408 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  9280. 2022-11-10 23:18:31,744 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  9281. 2022-11-10 23:18:32,071 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  9282. 2022-11-10 23:18:32,407 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  9283. 2022-11-10 23:18:32,747 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  9284. 2022-11-10 23:18:33,090 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  9285. 2022-11-10 23:18:33,432 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  9286. 2022-11-10 23:18:33,773 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  9287. 2022-11-10 23:18:34,102 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  9288. 2022-11-10 23:18:34,452 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  9289. 2022-11-10 23:18:34,794 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  9290. 2022-11-10 23:18:35,127 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  9291. 2022-11-10 23:18:35,467 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  9292. 2022-11-10 23:18:35,805 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  9293. 2022-11-10 23:18:36,132 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  9294. 2022-11-10 23:18:36,467 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  9295. 2022-11-10 23:18:36,804 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  9296. 2022-11-10 23:18:37,144 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  9297. 2022-11-10 23:18:37,476 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  9298. 2022-11-10 23:18:37,814 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  9299. 2022-11-10 23:18:38,147 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  9300. 2022-11-10 23:18:38,488 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  9301. 2022-11-10 23:18:38,827 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  9302. 2022-11-10 23:18:39,149 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  9303. 2022-11-10 23:18:39,475 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  9304. 2022-11-10 23:18:39,802 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  9305. 2022-11-10 23:18:40,145 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  9306. 2022-11-10 23:18:40,477 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  9307. 2022-11-10 23:18:40,818 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  9308. 2022-11-10 23:18:41,157 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  9309. 2022-11-10 23:18:41,488 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  9310. 2022-11-10 23:18:41,840 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  9311. 2022-11-10 23:18:42,175 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  9312. 2022-11-10 23:18:42,515 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  9313. 2022-11-10 23:18:42,850 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  9314. 2022-11-10 23:18:43,185 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  9315. 2022-11-10 23:18:43,524 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  9316. 2022-11-10 23:18:43,859 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  9317. 2022-11-10 23:18:44,205 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  9318. 2022-11-10 23:18:44,535 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  9319. 2022-11-10 23:18:44,871 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  9320. 2022-11-10 23:18:45,212 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  9321. 2022-11-10 23:18:45,550 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  9322. 2022-11-10 23:18:45,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  9323. 2022-11-10 23:18:46,210 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  9324. 2022-11-10 23:18:46,554 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  9325. 2022-11-10 23:18:46,895 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  9326. 2022-11-10 23:18:47,233 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  9327. 2022-11-10 23:18:47,571 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  9328. 2022-11-10 23:18:47,914 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  9329. 2022-11-10 23:18:48,136 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  9330. 2022-11-10 23:18:48,475 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  9331. 2022-11-10 23:18:48,814 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  9332. 2022-11-10 23:18:49,143 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  9333. 2022-11-10 23:18:49,480 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  9334. 2022-11-10 23:18:49,811 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  9335. 2022-11-10 23:18:50,140 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  9336. 2022-11-10 23:18:50,469 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  9337. 2022-11-10 23:18:50,807 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  9338. 2022-11-10 23:18:51,135 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  9339. 2022-11-10 23:18:51,471 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  9340. 2022-11-10 23:18:51,682 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  9341. 2022-11-10 23:18:52,017 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  9342. 2022-11-10 23:18:52,352 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  9343. 2022-11-10 23:18:52,687 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  9344. 2022-11-10 23:18:53,026 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  9345. 2022-11-10 23:18:53,367 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  9346. 2022-11-10 23:18:53,717 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  9347. 2022-11-10 23:18:54,061 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  9348. 2022-11-10 23:18:54,404 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  9349. 2022-11-10 23:18:54,747 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  9350. 2022-11-10 23:18:55,083 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  9351. 2022-11-10 23:18:55,416 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  9352. 2022-11-10 23:18:55,760 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  9353. 2022-11-10 23:18:56,105 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  9354. 2022-11-10 23:18:56,444 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  9355. 2022-11-10 23:18:56,657 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  9356. 2022-11-10 23:18:56,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  9357. 2022-11-10 23:18:57,334 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  9358. 2022-11-10 23:18:57,673 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  9359. 2022-11-10 23:18:58,004 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  9360. 2022-11-10 23:18:58,336 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  9361. 2022-11-10 23:18:58,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  9362. 2022-11-10 23:18:59,018 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  9363. 2022-11-10 23:18:59,352 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  9364. 2022-11-10 23:18:59,692 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  9365. 2022-11-10 23:19:00,024 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  9366. 2022-11-10 23:19:00,362 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  9367. 2022-11-10 23:19:00,701 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  9368. 2022-11-10 23:19:01,038 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  9369. 2022-11-10 23:19:01,373 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  9370. 2022-11-10 23:19:01,724 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  9371. 2022-11-10 23:19:02,069 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  9372. 2022-11-10 23:19:57,091 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  9373. 2022-11-10 23:24:15,206 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  9374. 2022-11-10 23:24:26,117 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  9375. 2022-11-10 23:27:41,338 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  9376. 2022-11-10 23:27:41,653 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  9377. 2022-11-10 23:27:41,967 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  9378. 2022-11-10 23:27:42,291 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  9379. 2022-11-10 23:27:42,613 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  9380. 2022-11-10 23:27:42,937 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  9381. 2022-11-10 23:27:43,263 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  9382. 2022-11-10 23:27:43,586 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  9383. 2022-11-10 23:27:43,908 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  9384. 2022-11-10 23:27:44,225 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  9385. 2022-11-10 23:27:44,551 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  9386. 2022-11-10 23:27:44,877 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  9387. 2022-11-10 23:27:45,194 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  9388. 2022-11-10 23:27:45,519 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  9389. 2022-11-10 23:27:45,731 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  9390. 2022-11-10 23:27:46,052 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  9391. 2022-11-10 23:27:46,257 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  9392. 2022-11-10 23:27:46,581 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  9393. 2022-11-10 23:27:46,909 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  9394. 2022-11-10 23:27:47,229 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  9395. 2022-11-10 23:27:47,549 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  9396. 2022-11-10 23:27:47,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  9397. 2022-11-10 23:27:48,195 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  9398. 2022-11-10 23:27:48,524 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  9399. 2022-11-10 23:27:48,855 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  9400. 2022-11-10 23:27:49,168 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  9401. 2022-11-10 23:27:49,487 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  9402. 2022-11-10 23:27:49,809 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  9403. 2022-11-10 23:27:50,130 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  9404. 2022-11-10 23:27:50,448 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  9405. 2022-11-10 23:27:50,772 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  9406. 2022-11-10 23:27:51,094 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  9407. 2022-11-10 23:27:51,413 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  9408. 2022-11-10 23:27:51,735 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  9409. 2022-11-10 23:27:52,056 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  9410. 2022-11-10 23:27:52,383 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  9411. 2022-11-10 23:27:52,704 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  9412. 2022-11-10 23:27:53,028 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  9413. 2022-11-10 23:27:53,238 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  9414. 2022-11-10 23:27:53,560 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  9415. 2022-11-10 23:27:53,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  9416. 2022-11-10 23:27:54,203 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  9417. 2022-11-10 23:27:54,530 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  9418. 2022-11-10 23:27:54,857 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  9419. 2022-11-10 23:27:55,182 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  9420. 2022-11-10 23:27:55,499 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  9421. 2022-11-10 23:27:55,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  9422. 2022-11-10 23:27:56,176 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  9423. 2022-11-10 23:27:56,498 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  9424. 2022-11-10 23:27:56,818 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  9425. 2022-11-10 23:27:57,022 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  9426. 2022-11-10 23:27:57,343 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  9427. 2022-11-10 23:27:57,665 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  9428. 2022-11-10 23:27:57,993 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  9429. 2022-11-10 23:27:58,312 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  9430. 2022-11-10 23:27:58,634 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  9431. 2022-11-10 23:27:58,963 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  9432. 2022-11-10 23:27:59,283 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  9433. 2022-11-10 23:27:59,602 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  9434. 2022-11-10 23:27:59,938 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  9435. 2022-11-10 23:28:00,260 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  9436. 2022-11-10 23:28:00,581 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  9437. 2022-11-10 23:28:00,909 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  9438. 2022-11-10 23:28:01,227 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  9439. 2022-11-10 23:28:01,547 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  9440. 2022-11-10 23:28:01,880 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  9441. 2022-11-10 23:28:02,092 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  9442. 2022-11-10 23:28:02,419 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  9443. 2022-11-10 23:28:02,746 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  9444. 2022-11-10 23:28:02,964 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  9445. 2022-11-10 23:28:03,286 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  9446. 2022-11-10 23:28:03,607 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  9447. 2022-11-10 23:28:03,817 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  9448. 2022-11-10 23:28:04,033 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  9449. 2022-11-10 23:28:04,356 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  9450. 2022-11-10 23:28:04,675 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  9451. 2022-11-10 23:28:05,002 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  9452. 2022-11-10 23:28:05,320 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  9453. 2022-11-10 23:28:05,646 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  9454. 2022-11-10 23:28:05,977 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  9455. 2022-11-10 23:28:06,298 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  9456. 2022-11-10 23:28:06,619 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  9457. 2022-11-10 23:28:06,945 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  9458. 2022-11-10 23:28:07,268 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  9459. 2022-11-10 23:28:07,594 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  9460. 2022-11-10 23:28:07,923 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  9461. 2022-11-10 23:28:08,247 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  9462. 2022-11-10 23:28:08,568 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  9463. 2022-11-10 23:28:08,894 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  9464. 2022-11-10 23:28:09,100 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  9465. 2022-11-10 23:28:09,417 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  9466. 2022-11-10 23:28:09,751 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  9467. 2022-11-10 23:28:10,074 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  9468. 2022-11-10 23:28:10,399 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  9469. 2022-11-10 23:28:10,720 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  9470. 2022-11-10 23:28:11,045 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  9471. 2022-11-10 23:28:11,372 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  9472. 2022-11-10 23:28:11,695 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  9473. 2022-11-10 23:28:12,018 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  9474. 2022-11-10 23:28:12,341 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  9475. 2022-11-10 23:28:12,547 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  9476. 2022-11-10 23:28:12,870 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  9477. 2022-11-10 23:28:13,196 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  9478. 2022-11-10 23:28:13,523 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  9479. 2022-11-10 23:28:13,846 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  9480. 2022-11-10 23:28:14,172 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  9481. 2022-11-10 23:28:14,497 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  9482. 2022-11-10 23:28:14,820 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  9483. 2022-11-10 23:28:15,147 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  9484. 2022-11-10 23:28:15,468 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  9485. 2022-11-10 23:28:15,793 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  9486. 2022-11-10 23:28:16,120 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  9487. 2022-11-10 23:28:16,433 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  9488. 2022-11-10 23:28:16,771 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  9489. 2022-11-10 23:28:16,974 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  9490. 2022-11-10 23:28:17,300 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  9491. 2022-11-10 23:28:17,626 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  9492. 2022-11-10 23:28:17,954 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  9493. 2022-11-10 23:28:18,288 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  9494. 2022-11-10 23:28:18,607 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  9495. 2022-11-10 23:28:18,935 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  9496. 2022-11-10 23:28:19,262 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  9497. 2022-11-10 23:28:19,462 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  9498. 2022-11-10 23:28:19,783 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  9499. 2022-11-10 23:28:20,109 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  9500. 2022-11-10 23:28:20,431 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  9501. 2022-11-10 23:28:20,759 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  9502. 2022-11-10 23:28:21,082 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  9503. 2022-11-10 23:28:21,414 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  9504. 2022-11-10 23:28:21,735 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  9505. 2022-11-10 23:28:22,058 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  9506. 2022-11-10 23:28:22,387 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  9507. 2022-11-10 23:28:22,708 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  9508. 2022-11-10 23:28:23,026 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  9509. 2022-11-10 23:28:23,237 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  9510. 2022-11-10 23:28:23,557 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  9511. 2022-11-10 23:28:23,886 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  9512. 2022-11-10 23:28:24,217 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  9513. 2022-11-10 23:28:24,544 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  9514. 2022-11-10 23:28:24,881 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  9515. 2022-11-10 23:28:25,204 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  9516. 2022-11-10 23:28:25,523 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  9517. 2022-11-10 23:28:25,845 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  9518. 2022-11-10 23:28:26,180 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  9519. 2022-11-10 23:28:26,501 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  9520. 2022-11-10 23:28:26,824 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  9521. 2022-11-10 23:28:27,151 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  9522. 2022-11-10 23:28:27,478 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  9523. 2022-11-10 23:28:27,802 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  9524. 2022-11-10 23:28:28,135 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  9525. 2022-11-10 23:28:28,470 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  9526. 2022-11-10 23:28:28,676 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  9527. 2022-11-10 23:28:29,005 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  9528. 2022-11-10 23:28:29,335 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  9529. 2022-11-10 23:28:29,661 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  9530. 2022-11-10 23:28:29,990 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  9531. 2022-11-10 23:28:30,314 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  9532. 2022-11-10 23:28:30,640 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  9533. 2022-11-10 23:28:30,967 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  9534. 2022-11-10 23:28:31,300 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  9535. 2022-11-10 23:28:31,628 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  9536. 2022-11-10 23:28:31,951 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  9537. 2022-11-10 23:28:32,274 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  9538. 2022-11-10 23:28:32,598 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  9539. 2022-11-10 23:28:32,929 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  9540. 2022-11-10 23:28:33,254 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  9541. 2022-11-10 23:28:33,578 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  9542. 2022-11-10 23:28:33,904 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  9543. 2022-11-10 23:28:34,232 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  9544. 2022-11-10 23:28:34,563 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  9545. 2022-11-10 23:28:34,896 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  9546. 2022-11-10 23:28:35,217 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  9547. 2022-11-10 23:28:35,548 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  9548. 2022-11-10 23:28:35,883 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  9549. 2022-11-10 23:28:36,210 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  9550. 2022-11-10 23:28:36,540 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  9551. 2022-11-10 23:28:36,867 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  9552. 2022-11-10 23:28:37,206 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  9553. 2022-11-10 23:28:37,533 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  9554. 2022-11-10 23:28:37,863 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  9555. 2022-11-10 23:28:38,200 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  9556. 2022-11-10 23:28:38,521 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  9557. 2022-11-10 23:28:38,846 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  9558. 2022-11-10 23:28:39,171 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  9559. 2022-11-10 23:28:39,496 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  9560. 2022-11-10 23:28:39,822 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  9561. 2022-11-10 23:28:40,142 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  9562. 2022-11-10 23:28:40,472 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  9563. 2022-11-10 23:28:40,796 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  9564. 2022-11-10 23:28:41,121 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  9565. 2022-11-10 23:28:41,444 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  9566. 2022-11-10 23:28:41,769 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  9567. 2022-11-10 23:28:42,102 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  9568. 2022-11-10 23:28:42,442 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  9569. 2022-11-10 23:28:42,770 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  9570. 2022-11-10 23:28:43,112 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  9571. 2022-11-10 23:28:43,451 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  9572. 2022-11-10 23:28:43,780 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  9573. 2022-11-10 23:28:44,113 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  9574. 2022-11-10 23:28:44,438 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  9575. 2022-11-10 23:28:44,767 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  9576. 2022-11-10 23:28:45,089 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  9577. 2022-11-10 23:28:45,414 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  9578. 2022-11-10 23:28:45,745 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  9579. 2022-11-10 23:28:46,081 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  9580. 2022-11-10 23:28:46,402 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  9581. 2022-11-10 23:28:46,729 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  9582. 2022-11-10 23:28:47,065 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  9583. 2022-11-10 23:28:47,400 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  9584. 2022-11-10 23:28:47,725 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  9585. 2022-11-10 23:28:48,044 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  9586. 2022-11-10 23:28:48,379 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  9587. 2022-11-10 23:28:48,718 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  9588. 2022-11-10 23:28:49,041 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  9589. 2022-11-10 23:28:49,370 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  9590. 2022-11-10 23:28:49,696 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  9591. 2022-11-10 23:28:50,021 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  9592. 2022-11-10 23:28:50,352 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  9593. 2022-11-10 23:28:50,688 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  9594. 2022-11-10 23:28:51,013 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  9595. 2022-11-10 23:28:51,343 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  9596. 2022-11-10 23:28:51,673 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  9597. 2022-11-10 23:28:52,009 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  9598. 2022-11-10 23:28:52,338 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  9599. 2022-11-10 23:28:52,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  9600. 2022-11-10 23:28:53,003 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  9601. 2022-11-10 23:28:53,332 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  9602. 2022-11-10 23:28:53,669 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  9603. 2022-11-10 23:28:53,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  9604. 2022-11-10 23:28:54,325 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  9605. 2022-11-10 23:28:54,657 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  9606. 2022-11-10 23:28:54,987 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  9607. 2022-11-10 23:28:55,315 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  9608. 2022-11-10 23:28:55,652 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  9609. 2022-11-10 23:28:55,983 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  9610. 2022-11-10 23:28:56,312 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  9611. 2022-11-10 23:28:56,528 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  9612. 2022-11-10 23:28:56,859 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  9613. 2022-11-10 23:28:57,198 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  9614. 2022-11-10 23:28:57,522 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  9615. 2022-11-10 23:28:57,855 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  9616. 2022-11-10 23:28:58,179 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  9617. 2022-11-10 23:28:58,509 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  9618. 2022-11-10 23:28:58,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  9619. 2022-11-10 23:28:59,163 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  9620. 2022-11-10 23:28:59,480 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  9621. 2022-11-10 23:28:59,820 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  9622. 2022-11-10 23:29:00,035 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  9623. 2022-11-10 23:29:00,358 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  9624. 2022-11-10 23:29:00,690 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  9625. 2022-11-10 23:29:01,025 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  9626. 2022-11-10 23:29:01,359 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  9627. 2022-11-10 23:29:01,695 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  9628. 2022-11-10 23:29:02,034 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  9629. 2022-11-10 23:29:02,369 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  9630. 2022-11-10 23:29:02,705 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  9631. 2022-11-10 23:29:03,039 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  9632. 2022-11-10 23:29:03,372 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  9633. 2022-11-10 23:29:03,711 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  9634. 2022-11-10 23:29:04,049 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  9635. 2022-11-10 23:29:04,382 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  9636. 2022-11-10 23:29:04,722 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  9637. 2022-11-10 23:29:04,937 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  9638. 2022-11-10 23:29:05,261 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  9639. 2022-11-10 23:29:05,593 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  9640. 2022-11-10 23:29:05,927 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  9641. 2022-11-10 23:29:06,257 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  9642. 2022-11-10 23:29:06,586 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  9643. 2022-11-10 23:29:06,918 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  9644. 2022-11-10 23:29:07,247 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  9645. 2022-11-10 23:29:07,572 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  9646. 2022-11-10 23:29:07,905 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  9647. 2022-11-10 23:29:08,237 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  9648. 2022-11-10 23:29:08,564 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  9649. 2022-11-10 23:29:08,893 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  9650. 2022-11-10 23:29:09,221 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  9651. 2022-11-10 23:29:09,550 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  9652. 2022-11-10 23:29:09,894 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  9653. 2022-11-10 23:29:10,244 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  9654. 2022-11-10 23:29:10,577 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  9655. 2022-11-10 23:29:10,909 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  9656. 2022-11-10 23:29:11,123 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  9657. 2022-11-10 23:36:01,118 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  9658. 2022-11-10 23:36:01,439 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  9659. 2022-11-10 23:36:01,747 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  9660. 2022-11-10 23:36:02,076 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  9661. 2022-11-10 23:36:02,397 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  9662. 2022-11-10 23:36:02,728 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  9663. 2022-11-10 23:36:03,055 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  9664. 2022-11-10 23:36:03,374 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  9665. 2022-11-10 23:36:03,697 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  9666. 2022-11-10 23:36:04,026 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  9667. 2022-11-10 23:36:04,349 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  9668. 2022-11-10 23:36:04,676 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  9669. 2022-11-10 23:36:04,994 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  9670. 2022-11-10 23:36:05,319 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  9671. 2022-11-10 23:36:05,534 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  9672. 2022-11-10 23:36:05,856 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  9673. 2022-11-10 23:36:06,058 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  9674. 2022-11-10 23:36:06,379 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  9675. 2022-11-10 23:36:06,712 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  9676. 2022-11-10 23:36:07,041 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  9677. 2022-11-10 23:36:07,367 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  9678. 2022-11-10 23:36:07,696 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  9679. 2022-11-10 23:36:08,021 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  9680. 2022-11-10 23:36:08,343 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  9681. 2022-11-10 23:36:08,678 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  9682. 2022-11-10 23:36:08,998 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  9683. 2022-11-10 23:36:09,315 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  9684. 2022-11-10 23:36:09,641 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  9685. 2022-11-10 23:36:09,969 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  9686. 2022-11-10 23:36:10,286 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  9687. 2022-11-10 23:36:10,620 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  9688. 2022-11-10 23:36:10,941 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  9689. 2022-11-10 23:36:11,264 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  9690. 2022-11-10 23:36:11,593 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  9691. 2022-11-10 23:36:11,914 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  9692. 2022-11-10 23:36:12,234 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  9693. 2022-11-10 23:36:12,569 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  9694. 2022-11-10 23:36:12,889 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  9695. 2022-11-10 23:36:13,098 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  9696. 2022-11-10 23:36:13,428 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  9697. 2022-11-10 23:36:13,754 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  9698. 2022-11-10 23:36:14,085 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  9699. 2022-11-10 23:36:14,410 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  9700. 2022-11-10 23:36:14,743 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  9701. 2022-11-10 23:36:15,071 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  9702. 2022-11-10 23:36:15,400 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  9703. 2022-11-10 23:36:15,738 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  9704. 2022-11-10 23:36:16,068 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  9705. 2022-11-10 23:36:16,400 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  9706. 2022-11-10 23:36:16,722 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  9707. 2022-11-10 23:36:16,928 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  9708. 2022-11-10 23:36:17,249 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  9709. 2022-11-10 23:36:17,577 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  9710. 2022-11-10 23:36:17,902 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  9711. 2022-11-10 23:36:18,222 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  9712. 2022-11-10 23:36:18,546 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  9713. 2022-11-10 23:36:18,876 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  9714. 2022-11-10 23:36:19,195 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  9715. 2022-11-10 23:36:19,526 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  9716. 2022-11-10 23:36:19,851 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  9717. 2022-11-10 23:36:20,173 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  9718. 2022-11-10 23:36:20,504 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  9719. 2022-11-10 23:36:20,829 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  9720. 2022-11-10 23:36:21,159 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  9721. 2022-11-10 23:36:21,487 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  9722. 2022-11-10 23:36:21,817 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  9723. 2022-11-10 23:36:22,026 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  9724. 2022-11-10 23:36:22,355 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  9725. 2022-11-10 23:36:22,686 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  9726. 2022-11-10 23:36:22,895 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  9727. 2022-11-10 23:36:23,216 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  9728. 2022-11-10 23:36:23,531 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  9729. 2022-11-10 23:36:23,749 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  9730. 2022-11-10 23:36:23,957 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  9731. 2022-11-10 23:36:24,287 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  9732. 2022-11-10 23:36:24,612 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  9733. 2022-11-10 23:36:24,943 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  9734. 2022-11-10 23:36:25,265 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  9735. 2022-11-10 23:36:25,585 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  9736. 2022-11-10 23:36:25,913 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  9737. 2022-11-10 23:36:26,229 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  9738. 2022-11-10 23:36:26,554 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  9739. 2022-11-10 23:36:26,881 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  9740. 2022-11-10 23:36:27,199 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  9741. 2022-11-10 23:36:27,527 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  9742. 2022-11-10 23:36:27,857 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  9743. 2022-11-10 23:36:28,183 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  9744. 2022-11-10 23:36:28,503 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  9745. 2022-11-10 23:36:28,829 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  9746. 2022-11-10 23:36:29,034 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  9747. 2022-11-10 23:36:29,357 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  9748. 2022-11-10 23:36:29,684 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  9749. 2022-11-10 23:36:30,012 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  9750. 2022-11-10 23:36:30,338 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  9751. 2022-11-10 23:36:30,667 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  9752. 2022-11-10 23:36:31,008 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  9753. 2022-11-10 23:36:31,337 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  9754. 2022-11-10 23:36:31,667 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  9755. 2022-11-10 23:36:32,002 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  9756. 2022-11-10 23:36:32,327 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  9757. 2022-11-10 23:36:32,537 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  9758. 2022-11-10 23:36:32,870 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  9759. 2022-11-10 23:36:33,191 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  9760. 2022-11-10 23:36:33,518 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  9761. 2022-11-10 23:36:33,842 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  9762. 2022-11-10 23:36:34,167 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  9763. 2022-11-10 23:36:34,499 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  9764. 2022-11-10 23:36:34,828 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  9765. 2022-11-10 23:36:35,164 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  9766. 2022-11-10 23:36:35,484 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  9767. 2022-11-10 23:36:35,805 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  9768. 2022-11-10 23:36:36,136 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  9769. 2022-11-10 23:36:36,455 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  9770. 2022-11-10 23:36:36,782 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  9771. 2022-11-10 23:36:36,993 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  9772. 2022-11-10 23:36:37,321 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  9773. 2022-11-10 23:36:37,661 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  9774. 2022-11-10 23:36:37,990 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  9775. 2022-11-10 23:36:38,328 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  9776. 2022-11-10 23:36:38,654 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  9777. 2022-11-10 23:36:38,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  9778. 2022-11-10 23:36:39,328 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  9779. 2022-11-10 23:36:39,539 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  9780. 2022-11-10 23:36:39,869 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  9781. 2022-11-10 23:36:40,196 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  9782. 2022-11-10 23:36:40,528 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  9783. 2022-11-10 23:36:40,852 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  9784. 2022-11-10 23:36:41,178 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  9785. 2022-11-10 23:36:41,510 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  9786. 2022-11-10 23:36:41,832 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  9787. 2022-11-10 23:36:42,160 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  9788. 2022-11-10 23:36:42,489 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  9789. 2022-11-10 23:36:42,822 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  9790. 2022-11-10 23:36:43,148 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  9791. 2022-11-10 23:36:43,354 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  9792. 2022-11-10 23:36:43,681 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  9793. 2022-11-10 23:36:44,011 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  9794. 2022-11-10 23:36:44,355 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  9795. 2022-11-10 23:36:44,685 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  9796. 2022-11-10 23:36:45,029 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  9797. 2022-11-10 23:36:45,358 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  9798. 2022-11-10 23:36:45,689 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  9799. 2022-11-10 23:36:46,018 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  9800. 2022-11-10 23:36:46,349 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  9801. 2022-11-10 23:36:46,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  9802. 2022-11-10 23:36:47,012 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  9803. 2022-11-10 23:36:47,346 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  9804. 2022-11-10 23:36:47,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  9805. 2022-11-10 23:36:48,011 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  9806. 2022-11-10 23:36:48,348 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  9807. 2022-11-10 23:36:48,668 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  9808. 2022-11-10 23:36:48,872 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  9809. 2022-11-10 23:36:49,204 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  9810. 2022-11-10 23:36:49,536 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  9811. 2022-11-10 23:36:49,859 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  9812. 2022-11-10 23:36:50,195 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  9813. 2022-11-10 23:36:50,519 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  9814. 2022-11-10 23:36:50,843 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  9815. 2022-11-10 23:36:51,177 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  9816. 2022-11-10 23:36:51,517 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  9817. 2022-11-10 23:36:51,852 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  9818. 2022-11-10 23:36:52,177 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  9819. 2022-11-10 23:36:52,498 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  9820. 2022-11-10 23:36:52,828 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  9821. 2022-11-10 23:36:53,168 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  9822. 2022-11-10 23:36:53,491 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  9823. 2022-11-10 23:36:53,818 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  9824. 2022-11-10 23:36:54,149 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  9825. 2022-11-10 23:36:54,482 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  9826. 2022-11-10 23:36:54,819 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  9827. 2022-11-10 23:36:55,150 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  9828. 2022-11-10 23:36:55,486 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  9829. 2022-11-10 23:36:55,818 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  9830. 2022-11-10 23:36:56,155 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  9831. 2022-11-10 23:36:56,476 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  9832. 2022-11-10 23:36:56,799 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  9833. 2022-11-10 23:36:57,124 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  9834. 2022-11-10 23:36:57,453 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  9835. 2022-11-10 23:36:57,778 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  9836. 2022-11-10 23:36:58,108 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  9837. 2022-11-10 23:36:58,447 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  9838. 2022-11-10 23:36:58,765 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  9839. 2022-11-10 23:36:59,095 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  9840. 2022-11-10 23:36:59,433 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  9841. 2022-11-10 23:36:59,765 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  9842. 2022-11-10 23:37:00,093 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  9843. 2022-11-10 23:37:00,424 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  9844. 2022-11-10 23:37:00,751 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  9845. 2022-11-10 23:37:01,073 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  9846. 2022-11-10 23:37:01,404 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  9847. 2022-11-10 23:37:01,727 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  9848. 2022-11-10 23:37:02,054 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  9849. 2022-11-10 23:37:02,383 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  9850. 2022-11-10 23:37:02,719 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  9851. 2022-11-10 23:37:03,046 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  9852. 2022-11-10 23:37:03,384 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  9853. 2022-11-10 23:37:03,718 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  9854. 2022-11-10 23:37:04,051 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  9855. 2022-11-10 23:37:04,392 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  9856. 2022-11-10 23:37:04,721 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  9857. 2022-11-10 23:37:05,063 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  9858. 2022-11-10 23:37:05,402 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  9859. 2022-11-10 23:37:05,738 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  9860. 2022-11-10 23:37:06,072 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  9861. 2022-11-10 23:37:06,406 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  9862. 2022-11-10 23:37:06,733 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  9863. 2022-11-10 23:37:07,060 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  9864. 2022-11-10 23:37:07,396 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  9865. 2022-11-10 23:37:07,732 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  9866. 2022-11-10 23:37:08,053 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  9867. 2022-11-10 23:37:08,385 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  9868. 2022-11-10 23:37:08,719 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  9869. 2022-11-10 23:37:09,059 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  9870. 2022-11-10 23:37:09,390 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  9871. 2022-11-10 23:37:09,717 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  9872. 2022-11-10 23:37:10,047 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  9873. 2022-11-10 23:37:10,374 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  9874. 2022-11-10 23:37:10,714 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  9875. 2022-11-10 23:37:11,043 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  9876. 2022-11-10 23:37:11,380 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  9877. 2022-11-10 23:37:11,710 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  9878. 2022-11-10 23:37:12,042 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  9879. 2022-11-10 23:37:12,382 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  9880. 2022-11-10 23:37:12,717 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  9881. 2022-11-10 23:37:13,044 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  9882. 2022-11-10 23:37:13,369 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  9883. 2022-11-10 23:37:13,704 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  9884. 2022-11-10 23:37:14,042 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  9885. 2022-11-10 23:37:14,377 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  9886. 2022-11-10 23:37:14,711 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  9887. 2022-11-10 23:37:15,038 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  9888. 2022-11-10 23:37:15,372 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  9889. 2022-11-10 23:37:15,701 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  9890. 2022-11-10 23:37:16,030 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  9891. 2022-11-10 23:37:16,370 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  9892. 2022-11-10 23:37:16,702 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  9893. 2022-11-10 23:37:16,923 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  9894. 2022-11-10 23:37:17,258 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  9895. 2022-11-10 23:37:17,591 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  9896. 2022-11-10 23:37:17,926 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  9897. 2022-11-10 23:37:18,261 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  9898. 2022-11-10 23:37:18,592 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  9899. 2022-11-10 23:37:18,930 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  9900. 2022-11-10 23:37:19,255 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  9901. 2022-11-10 23:37:19,588 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  9902. 2022-11-10 23:37:19,923 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  9903. 2022-11-10 23:37:20,261 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  9904. 2022-11-10 23:37:20,473 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  9905. 2022-11-10 23:37:20,802 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  9906. 2022-11-10 23:37:21,144 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  9907. 2022-11-10 23:37:21,483 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  9908. 2022-11-10 23:37:21,811 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  9909. 2022-11-10 23:37:22,140 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  9910. 2022-11-10 23:37:22,490 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  9911. 2022-11-10 23:37:22,822 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  9912. 2022-11-10 23:37:23,151 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  9913. 2022-11-10 23:37:23,486 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  9914. 2022-11-10 23:37:23,815 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  9915. 2022-11-10 23:37:24,152 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  9916. 2022-11-10 23:37:24,486 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  9917. 2022-11-10 23:37:24,820 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  9918. 2022-11-10 23:37:25,149 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  9919. 2022-11-10 23:37:25,355 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  9920. 2022-11-10 23:37:25,685 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  9921. 2022-11-10 23:37:26,016 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  9922. 2022-11-10 23:37:26,346 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  9923. 2022-11-10 23:37:26,674 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  9924. 2022-11-10 23:37:27,001 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  9925. 2022-11-10 23:37:27,338 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  9926. 2022-11-10 23:37:27,666 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  9927. 2022-11-10 23:37:27,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  9928. 2022-11-10 23:37:28,329 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  9929. 2022-11-10 23:37:28,661 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  9930. 2022-11-10 23:37:29,001 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  9931. 2022-11-10 23:37:29,331 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  9932. 2022-11-10 23:37:29,671 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  9933. 2022-11-10 23:37:29,996 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  9934. 2022-11-10 23:37:30,339 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  9935. 2022-11-10 23:37:30,676 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  9936. 2022-11-10 23:37:31,011 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  9937. 2022-11-10 23:37:31,349 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  9938. 2022-11-10 23:37:31,560 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  9939. 2022-11-10 23:38:16,074 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  9940. 2022-11-10 23:38:16,408 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  9941. 2022-11-10 23:38:16,731 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  9942. 2022-11-10 23:38:17,060 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  9943. 2022-11-10 23:38:17,380 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  9944. 2022-11-10 23:38:17,706 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  9945. 2022-11-10 23:38:18,046 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  9946. 2022-11-10 23:38:18,372 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  9947. 2022-11-10 23:38:18,701 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  9948. 2022-11-10 23:38:19,030 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  9949. 2022-11-10 23:38:19,356 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  9950. 2022-11-10 23:38:19,683 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  9951. 2022-11-10 23:38:20,019 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  9952. 2022-11-10 23:38:20,340 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  9953. 2022-11-10 23:38:20,550 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  9954. 2022-11-10 23:38:20,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  9955. 2022-11-10 23:38:21,092 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  9956. 2022-11-10 23:38:21,424 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  9957. 2022-11-10 23:38:21,760 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  9958. 2022-11-10 23:38:22,092 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  9959. 2022-11-10 23:38:22,424 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  9960. 2022-11-10 23:38:22,752 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  9961. 2022-11-10 23:38:23,075 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  9962. 2022-11-10 23:38:23,396 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  9963. 2022-11-10 23:38:23,732 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  9964. 2022-11-10 23:38:24,062 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  9965. 2022-11-10 23:38:24,390 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  9966. 2022-11-10 23:38:24,715 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  9967. 2022-11-10 23:38:25,041 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  9968. 2022-11-10 23:38:25,362 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  9969. 2022-11-10 23:38:25,696 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  9970. 2022-11-10 23:38:26,018 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  9971. 2022-11-10 23:38:26,347 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  9972. 2022-11-10 23:38:26,669 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  9973. 2022-11-10 23:38:26,991 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  9974. 2022-11-10 23:38:27,316 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  9975. 2022-11-10 23:38:27,643 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  9976. 2022-11-10 23:38:27,968 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  9977. 2022-11-10 23:38:28,181 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  9978. 2022-11-10 23:38:28,523 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  9979. 2022-11-10 23:38:28,848 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  9980. 2022-11-10 23:38:29,183 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  9981. 2022-11-10 23:38:29,516 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  9982. 2022-11-10 23:38:29,858 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  9983. 2022-11-10 23:38:30,195 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  9984. 2022-11-10 23:38:30,519 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  9985. 2022-11-10 23:38:30,851 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  9986. 2022-11-10 23:38:31,193 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  9987. 2022-11-10 23:38:31,531 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  9988. 2022-11-10 23:38:31,859 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  9989. 2022-11-10 23:38:32,066 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  9990. 2022-11-10 23:38:32,394 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  9991. 2022-11-10 23:38:32,733 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  9992. 2022-11-10 23:38:33,065 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
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  9994. 2022-11-10 23:38:33,722 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  9995. 2022-11-10 23:38:34,044 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
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  9997. 2022-11-10 23:38:34,693 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  9998. 2022-11-10 23:38:35,017 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  9999. 2022-11-10 23:38:35,342 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  10000. 2022-11-10 23:38:35,669 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  10001. 2022-11-10 23:38:35,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  10002. 2022-11-10 23:38:36,324 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  10003. 2022-11-10 23:38:36,655 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  10004. 2022-11-10 23:38:36,993 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  10005. 2022-11-10 23:38:37,201 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  10006. 2022-11-10 23:38:37,534 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  10007. 2022-11-10 23:38:37,860 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  10008. 2022-11-10 23:38:38,068 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
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  10018. 2022-11-10 23:38:41,128 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
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  10020. 2022-11-10 23:38:41,775 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  10021. 2022-11-10 23:38:42,097 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  10022. 2022-11-10 23:38:42,425 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  10023. 2022-11-10 23:38:42,749 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  10024. 2022-11-10 23:38:43,081 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  10025. 2022-11-10 23:38:43,418 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  10026. 2022-11-10 23:38:43,748 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  10027. 2022-11-10 23:38:44,084 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  10028. 2022-11-10 23:38:44,289 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  10029. 2022-11-10 23:38:44,621 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  10030. 2022-11-10 23:38:44,964 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  10031. 2022-11-10 23:38:45,294 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  10032. 2022-11-10 23:38:45,634 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  10033. 2022-11-10 23:38:45,967 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  10034. 2022-11-10 23:38:46,298 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  10035. 2022-11-10 23:38:46,627 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  10036. 2022-11-10 23:38:46,957 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  10037. 2022-11-10 23:38:47,300 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  10038. 2022-11-10 23:38:47,631 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  10039. 2022-11-10 23:38:47,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  10040. 2022-11-10 23:38:48,168 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  10041. 2022-11-10 23:38:48,503 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  10042. 2022-11-10 23:38:48,842 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  10043. 2022-11-10 23:38:49,177 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  10044. 2022-11-10 23:38:49,502 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  10045. 2022-11-10 23:38:49,832 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  10046. 2022-11-10 23:38:50,158 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  10047. 2022-11-10 23:38:50,491 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  10048. 2022-11-10 23:38:50,826 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  10049. 2022-11-10 23:38:51,157 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  10050. 2022-11-10 23:38:51,495 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  10051. 2022-11-10 23:38:51,821 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  10052. 2022-11-10 23:38:52,152 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  10053. 2022-11-10 23:38:52,361 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  10054. 2022-11-10 23:38:52,692 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  10055. 2022-11-10 23:38:53,018 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  10056. 2022-11-10 23:38:53,344 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  10057. 2022-11-10 23:38:53,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  10058. 2022-11-10 23:38:54,010 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  10059. 2022-11-10 23:38:54,344 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  10060. 2022-11-10 23:38:54,679 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  10061. 2022-11-10 23:38:54,883 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  10062. 2022-11-10 23:38:55,219 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  10063. 2022-11-10 23:38:55,554 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  10064. 2022-11-10 23:38:55,879 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  10065. 2022-11-10 23:38:56,209 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  10066. 2022-11-10 23:38:56,546 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  10067. 2022-11-10 23:38:56,885 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  10068. 2022-11-10 23:38:57,214 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  10069. 2022-11-10 23:38:57,543 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  10070. 2022-11-10 23:38:57,880 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  10071. 2022-11-10 23:38:58,205 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  10072. 2022-11-10 23:38:58,529 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  10073. 2022-11-10 23:38:58,738 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  10074. 2022-11-10 23:38:59,070 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  10075. 2022-11-10 23:38:59,408 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  10076. 2022-11-10 23:38:59,743 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  10077. 2022-11-10 23:39:00,072 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  10078. 2022-11-10 23:39:00,402 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  10079. 2022-11-10 23:39:00,725 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  10080. 2022-11-10 23:39:01,052 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  10081. 2022-11-10 23:39:01,388 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  10082. 2022-11-10 23:39:01,719 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  10083. 2022-11-10 23:39:02,047 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  10084. 2022-11-10 23:39:02,378 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  10085. 2022-11-10 23:39:02,716 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  10086. 2022-11-10 23:39:03,045 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  10087. 2022-11-10 23:39:03,384 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  10088. 2022-11-10 23:39:03,724 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  10089. 2022-11-10 23:39:04,054 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
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  10091. 2022-11-10 23:39:04,598 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
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  10094. 2022-11-10 23:39:05,601 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
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  10099. 2022-11-10 23:39:07,287 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
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  10111. 2022-11-10 23:39:11,289 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
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  10113. 2022-11-10 23:39:11,954 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  10114. 2022-11-10 23:39:12,284 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  10115. 2022-11-10 23:39:12,616 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  10116. 2022-11-10 23:39:12,958 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  10117. 2022-11-10 23:39:13,298 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
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  10144. 2022-11-10 23:39:22,309 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  10145. 2022-11-10 23:39:22,633 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
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  10147. 2022-11-10 23:39:23,309 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  10148. 2022-11-10 23:39:23,641 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  10149. 2022-11-10 23:39:23,977 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  10150. 2022-11-10 23:39:24,306 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  10151. 2022-11-10 23:39:24,646 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
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  10153. 2022-11-10 23:39:25,312 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
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  10156. 2022-11-10 23:39:26,315 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  10157. 2022-11-10 23:39:26,652 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  10158. 2022-11-10 23:39:26,985 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  10159. 2022-11-10 23:39:27,322 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  10160. 2022-11-10 23:39:27,655 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  10161. 2022-11-10 23:39:27,991 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  10162. 2022-11-10 23:39:28,326 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  10163. 2022-11-10 23:39:28,658 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  10164. 2022-11-10 23:39:28,988 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  10165. 2022-11-10 23:39:29,321 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  10166. 2022-11-10 23:39:29,648 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  10167. 2022-11-10 23:39:29,985 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  10168. 2022-11-10 23:39:30,320 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  10169. 2022-11-10 23:39:30,648 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  10170. 2022-11-10 23:39:30,986 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  10171. 2022-11-10 23:39:31,319 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  10172. 2022-11-10 23:39:31,653 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  10173. 2022-11-10 23:39:31,992 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  10174. 2022-11-10 23:39:32,338 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  10175. 2022-11-10 23:39:32,554 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  10176. 2022-11-10 23:39:32,890 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  10177. 2022-11-10 23:39:33,226 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  10178. 2022-11-10 23:39:33,560 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  10179. 2022-11-10 23:39:33,892 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  10180. 2022-11-10 23:39:34,223 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  10181. 2022-11-10 23:39:34,556 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  10182. 2022-11-10 23:39:34,884 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  10183. 2022-11-10 23:39:35,220 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  10184. 2022-11-10 23:39:35,546 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  10185. 2022-11-10 23:39:35,879 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  10186. 2022-11-10 23:39:36,095 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  10187. 2022-11-10 23:39:36,422 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  10188. 2022-11-10 23:39:36,750 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  10189. 2022-11-10 23:39:37,095 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  10190. 2022-11-10 23:39:37,430 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  10191. 2022-11-10 23:39:37,758 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  10192. 2022-11-10 23:39:38,097 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  10193. 2022-11-10 23:39:38,436 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  10194. 2022-11-10 23:39:38,773 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  10195. 2022-11-10 23:39:39,100 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  10196. 2022-11-10 23:39:39,434 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  10197. 2022-11-10 23:39:39,771 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  10198. 2022-11-10 23:39:40,107 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  10199. 2022-11-10 23:39:40,439 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  10200. 2022-11-10 23:39:40,767 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  10201. 2022-11-10 23:39:40,978 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  10202. 2022-11-10 23:39:41,309 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  10203. 2022-11-10 23:39:41,643 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  10204. 2022-11-10 23:39:41,977 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  10205. 2022-11-10 23:39:42,306 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  10206. 2022-11-10 23:39:42,640 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  10207. 2022-11-10 23:39:42,976 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  10208. 2022-11-10 23:39:43,315 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  10209. 2022-11-10 23:39:43,647 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  10210. 2022-11-10 23:39:43,982 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  10211. 2022-11-10 23:39:44,310 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  10212. 2022-11-10 23:39:44,647 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  10213. 2022-11-10 23:39:44,976 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  10214. 2022-11-10 23:39:45,310 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  10215. 2022-11-10 23:39:45,644 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  10216. 2022-11-10 23:39:45,983 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  10217. 2022-11-10 23:39:46,321 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  10218. 2022-11-10 23:39:46,657 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  10219. 2022-11-10 23:39:46,989 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  10220. 2022-11-10 23:39:47,205 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  10221. 2022-11-10 23:42:23,502 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  10222. 2022-11-10 23:42:23,826 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  10223. 2022-11-10 23:42:24,147 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  10224. 2022-11-10 23:42:24,471 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  10225. 2022-11-10 23:42:24,789 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  10226. 2022-11-10 23:42:25,118 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  10227. 2022-11-10 23:42:25,440 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  10228. 2022-11-10 23:42:25,766 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  10229. 2022-11-10 23:42:26,091 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  10230. 2022-11-10 23:42:26,414 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  10231. 2022-11-10 23:42:26,740 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  10232. 2022-11-10 23:42:27,067 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  10233. 2022-11-10 23:42:27,388 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  10234. 2022-11-10 23:42:27,709 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  10235. 2022-11-10 23:42:27,929 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  10236. 2022-11-10 23:42:28,262 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  10237. 2022-11-10 23:42:28,465 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  10238. 2022-11-10 23:42:28,793 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  10239. 2022-11-10 23:42:29,122 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  10240. 2022-11-10 23:42:29,457 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  10241. 2022-11-10 23:42:29,785 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  10242. 2022-11-10 23:42:30,105 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  10243. 2022-11-10 23:42:30,429 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  10244. 2022-11-10 23:42:30,745 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  10245. 2022-11-10 23:42:31,084 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  10246. 2022-11-10 23:42:31,401 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  10247. 2022-11-10 23:42:31,720 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  10248. 2022-11-10 23:42:32,052 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  10249. 2022-11-10 23:42:32,374 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  10250. 2022-11-10 23:42:32,698 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  10251. 2022-11-10 23:42:33,028 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  10252. 2022-11-10 23:42:33,348 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  10253. 2022-11-10 23:42:33,674 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  10254. 2022-11-10 23:42:34,001 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  10255. 2022-11-10 23:42:34,321 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  10256. 2022-11-10 23:42:34,647 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  10257. 2022-11-10 23:42:34,977 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  10258. 2022-11-10 23:42:35,305 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  10259. 2022-11-10 23:42:35,520 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  10260. 2022-11-10 23:42:35,847 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  10261. 2022-11-10 23:42:36,172 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  10262. 2022-11-10 23:42:36,497 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  10263. 2022-11-10 23:42:36,829 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  10264. 2022-11-10 23:42:37,161 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  10265. 2022-11-10 23:42:37,490 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  10266. 2022-11-10 23:42:37,811 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  10267. 2022-11-10 23:42:38,147 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  10268. 2022-11-10 23:42:38,482 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  10269. 2022-11-10 23:42:38,807 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  10270. 2022-11-10 23:42:39,141 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  10271. 2022-11-10 23:42:39,346 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  10272. 2022-11-10 23:42:39,670 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  10273. 2022-11-10 23:42:39,997 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  10274. 2022-11-10 23:42:40,322 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  10275. 2022-11-10 23:42:40,641 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  10276. 2022-11-10 23:42:40,975 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  10277. 2022-11-10 23:42:41,300 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  10278. 2022-11-10 23:42:41,621 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  10279. 2022-11-10 23:42:41,957 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  10280. 2022-11-10 23:42:42,285 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  10281. 2022-11-10 23:42:42,616 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  10282. 2022-11-10 23:42:42,957 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  10283. 2022-11-10 23:42:43,296 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  10284. 2022-11-10 23:42:43,622 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  10285. 2022-11-10 23:42:43,959 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:64/2688 loss£º0.209547
  10286. 2022-11-10 23:42:44,286 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:65/2688 loss£º0.323792
  10287. 2022-11-10 23:42:44,495 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:66/2688 loss£º0.070411
  10288. 2022-11-10 23:42:44,828 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:67/2688 loss£º1.155958
  10289. 2022-11-10 23:42:45,157 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:68/2688 loss£º0.070195
  10290. 2022-11-10 23:42:45,364 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:69/2688 loss£º0.034961
  10291. 2022-11-10 23:42:45,691 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:70/2688 loss£º0.055601
  10292. 2022-11-10 23:42:46,020 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:71/2688 loss£º0.069085
  10293. 2022-11-10 23:42:46,235 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:72/2688 loss£º0.051325
  10294. 2022-11-10 23:42:46,446 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:73/2688 loss£º0.041386
  10295. 2022-11-10 23:42:46,776 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:74/2688 loss£º0.032641
  10296. 2022-11-10 23:42:47,106 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:75/2688 loss£º0.028716
  10297. 2022-11-10 23:42:47,436 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:76/2688 loss£º0.034587
  10298. 2022-11-10 23:42:47,763 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:77/2688 loss£º0.018762
  10299. 2022-11-10 23:42:48,094 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:78/2688 loss£º0.024614
  10300. 2022-11-10 23:42:48,423 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:79/2688 loss£º0.022620
  10301. 2022-11-10 23:42:48,748 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:80/2688 loss£º0.011791
  10302. 2022-11-10 23:42:49,081 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:81/2688 loss£º0.031193
  10303. 2022-11-10 23:42:49,405 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:82/2688 loss£º2.813082
  10304. 2022-11-10 23:42:49,735 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:83/2688 loss£º0.017672
  10305. 2022-11-10 23:42:50,065 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:84/2688 loss£º0.035989
  10306. 2022-11-10 23:42:50,404 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:85/2688 loss£º0.024666
  10307. 2022-11-10 23:42:50,734 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:86/2688 loss£º0.029573
  10308. 2022-11-10 23:42:51,068 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:87/2688 loss£º0.012805
  10309. 2022-11-10 23:42:51,406 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:88/2688 loss£º0.016364
  10310. 2022-11-10 23:42:51,613 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:89/2688 loss£º0.012542
  10311. 2022-11-10 23:42:51,947 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:90/2688 loss£º0.011016
  10312. 2022-11-10 23:42:52,283 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:91/2688 loss£º0.016467
  10313. 2022-11-10 23:42:52,615 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:92/2688 loss£º0.020575
  10314. 2022-11-10 23:42:52,947 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:93/2688 loss£º0.018162
  10315. 2022-11-10 23:42:53,276 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:94/2688 loss£º0.010983
  10316. 2022-11-10 23:42:53,611 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:95/2688 loss£º0.015166
  10317. 2022-11-10 23:42:53,943 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:96/2688 loss£º2.882608
  10318. 2022-11-10 23:42:54,276 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:97/2688 loss£º1.593594
  10319. 2022-11-10 23:42:54,612 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:98/2688 loss£º0.017314
  10320. 2022-11-10 23:42:54,943 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:99/2688 loss£º0.017287
  10321. 2022-11-10 23:42:55,154 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:100/2688 loss£º0.049522
  10322. 2022-11-10 23:42:55,473 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:101/2688 loss£º0.027292
  10323. 2022-11-10 23:42:55,802 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:102/2688 loss£º0.037234
  10324. 2022-11-10 23:42:56,137 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:103/2688 loss£º0.036596
  10325. 2022-11-10 23:42:56,472 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:104/2688 loss£º1.457014
  10326. 2022-11-10 23:42:56,802 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:105/2688 loss£º0.044092
  10327. 2022-11-10 23:42:57,149 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:106/2688 loss£º0.067292
  10328. 2022-11-10 23:42:57,485 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:107/2688 loss£º1.623168
  10329. 2022-11-10 23:42:57,809 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:108/2688 loss£º0.115475
  10330. 2022-11-10 23:42:58,139 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:109/2688 loss£º0.247144
  10331. 2022-11-10 23:42:58,468 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:110/2688 loss£º0.135680
  10332. 2022-11-10 23:42:58,805 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:111/2688 loss£º0.117617
  10333. 2022-11-10 23:42:59,124 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:112/2688 loss£º0.190472
  10334. 2022-11-10 23:42:59,463 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:113/2688 loss£º0.156819
  10335. 2022-11-10 23:42:59,675 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:114/2688 loss£º0.067849
  10336. 2022-11-10 23:43:00,000 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:115/2688 loss£º0.125511
  10337. 2022-11-10 23:43:00,327 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:116/2688 loss£º0.179801
  10338. 2022-11-10 23:43:00,650 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:117/2688 loss£º0.169508
  10339. 2022-11-10 23:43:00,980 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:118/2688 loss£º0.064129
  10340. 2022-11-10 23:43:01,316 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:119/2688 loss£º0.055570
  10341. 2022-11-10 23:43:01,649 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:120/2688 loss£º0.027426
  10342. 2022-11-10 23:43:01,977 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:121/2688 loss£º0.031430
  10343. 2022-11-10 23:43:02,190 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:122/2688 loss£º0.006711
  10344. 2022-11-10 23:43:02,519 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:123/2688 loss£º0.025743
  10345. 2022-11-10 23:43:02,842 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:124/2688 loss£º0.011425
  10346. 2022-11-10 23:43:03,169 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:125/2688 loss£º0.011855
  10347. 2022-11-10 23:43:03,498 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:126/2688 loss£º0.009019
  10348. 2022-11-10 23:43:03,831 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:127/2688 loss£º0.011060
  10349. 2022-11-10 23:43:04,166 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:128/2688 loss£º0.005396
  10350. 2022-11-10 23:43:04,503 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:129/2688 loss£º0.013137
  10351. 2022-11-10 23:43:04,826 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:130/2688 loss£º0.005979
  10352. 2022-11-10 23:43:05,157 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:131/2688 loss£º0.007407
  10353. 2022-11-10 23:43:05,489 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:132/2688 loss£º0.005427
  10354. 2022-11-10 23:43:05,818 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:133/2688 loss£º0.007785
  10355. 2022-11-10 23:43:06,034 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:134/2688 loss£º0.003861
  10356. 2022-11-10 23:43:06,378 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:135/2688 loss£º0.004993
  10357. 2022-11-10 23:43:06,711 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:136/2688 loss£º0.002826
  10358. 2022-11-10 23:43:07,040 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:137/2688 loss£º1.407439
  10359. 2022-11-10 23:43:07,365 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:138/2688 loss£º1.766741
  10360. 2022-11-10 23:43:07,696 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:139/2688 loss£º0.006852
  10361. 2022-11-10 23:43:08,023 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:140/2688 loss£º1.894526
  10362. 2022-11-10 23:43:08,362 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:141/2688 loss£º0.014511
  10363. 2022-11-10 23:43:08,696 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:142/2688 loss£º2.159206
  10364. 2022-11-10 23:43:09,027 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:143/2688 loss£º0.025878
  10365. 2022-11-10 23:43:09,360 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:144/2688 loss£º0.253670
  10366. 2022-11-10 23:43:09,698 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:145/2688 loss£º0.061386
  10367. 2022-11-10 23:43:10,029 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:146/2688 loss£º0.067491
  10368. 2022-11-10 23:43:10,364 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:147/2688 loss£º0.093158
  10369. 2022-11-10 23:43:10,693 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:148/2688 loss£º0.093446
  10370. 2022-11-10 23:43:11,028 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:149/2688 loss£º0.053746
  10371. 2022-11-10 23:43:11,354 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:150/2688 loss£º0.112572
  10372. 2022-11-10 23:43:11,561 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:151/2688 loss£º0.091916
  10373. 2022-11-10 23:43:11,893 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:152/2688 loss£º0.257159
  10374. 2022-11-10 23:43:12,228 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:153/2688 loss£º0.063097
  10375. 2022-11-10 23:43:12,556 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:154/2688 loss£º1.249035
  10376. 2022-11-10 23:43:12,887 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:155/2688 loss£º0.038674
  10377. 2022-11-10 23:43:13,221 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:156/2688 loss£º0.085432
  10378. 2022-11-10 23:43:13,558 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:157/2688 loss£º0.091594
  10379. 2022-11-10 23:43:13,901 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:158/2688 loss£º0.098570
  10380. 2022-11-10 23:43:14,237 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:159/2688 loss£º0.988921
  10381. 2022-11-10 23:43:14,571 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:160/2688 loss£º1.095011
  10382. 2022-11-10 23:43:14,904 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:161/2688 loss£º0.076085
  10383. 2022-11-10 23:43:15,230 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:162/2688 loss£º0.089826
  10384. 2022-11-10 23:43:15,562 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:163/2688 loss£º0.214435
  10385. 2022-11-10 23:43:15,905 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:164/2688 loss£º0.528373
  10386. 2022-11-10 23:43:16,233 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:165/2688 loss£º0.280828
  10387. 2022-11-10 23:43:16,563 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:166/2688 loss£º0.087634
  10388. 2022-11-10 23:43:16,892 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:167/2688 loss£º0.135352
  10389. 2022-11-10 23:43:17,222 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:168/2688 loss£º0.631675
  10390. 2022-11-10 23:43:17,557 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:169/2688 loss£º0.227698
  10391. 2022-11-10 23:43:17,888 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:170/2688 loss£º0.393284
  10392. 2022-11-10 23:43:18,220 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:171/2688 loss£º0.121538
  10393. 2022-11-10 23:43:18,563 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:172/2688 loss£º0.072137
  10394. 2022-11-10 23:43:18,899 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:173/2688 loss£º0.036847
  10395. 2022-11-10 23:43:19,228 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:174/2688 loss£º0.032087
  10396. 2022-11-10 23:43:19,569 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:175/2688 loss£º0.015717
  10397. 2022-11-10 23:43:19,893 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:176/2688 loss£º0.482004
  10398. 2022-11-10 23:43:20,225 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:177/2688 loss£º1.158147
  10399. 2022-11-10 23:43:20,564 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:178/2688 loss£º0.020228
  10400. 2022-11-10 23:43:20,897 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:179/2688 loss£º0.033312
  10401. 2022-11-10 23:43:21,235 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:180/2688 loss£º0.020832
  10402. 2022-11-10 23:43:21,561 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:181/2688 loss£º0.091294
  10403. 2022-11-10 23:43:21,895 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:182/2688 loss£º0.591359
  10404. 2022-11-10 23:43:22,225 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:183/2688 loss£º0.023986
  10405. 2022-11-10 23:43:22,551 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:184/2688 loss£º0.085160
  10406. 2022-11-10 23:43:22,880 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:185/2688 loss£º0.129040
  10407. 2022-11-10 23:43:23,215 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:186/2688 loss£º0.298356
  10408. 2022-11-10 23:43:23,552 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:187/2688 loss£º0.046033
  10409. 2022-11-10 23:43:23,884 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:188/2688 loss£º0.016503
  10410. 2022-11-10 23:43:24,217 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:189/2688 loss£º0.047064
  10411. 2022-11-10 23:43:24,545 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:190/2688 loss£º0.024465
  10412. 2022-11-10 23:43:24,881 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:191/2688 loss£º0.041162
  10413. 2022-11-10 23:43:25,212 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:192/2688 loss£º0.036800
  10414. 2022-11-10 23:43:25,553 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:193/2688 loss£º0.035416
  10415. 2022-11-10 23:43:25,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:194/2688 loss£º0.028579
  10416. 2022-11-10 23:43:26,223 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:195/2688 loss£º0.012169
  10417. 2022-11-10 23:43:26,555 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:196/2688 loss£º0.015942
  10418. 2022-11-10 23:43:26,891 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:197/2688 loss£º0.037254
  10419. 2022-11-10 23:43:27,224 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:198/2688 loss£º0.010609
  10420. 2022-11-10 23:43:27,559 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:199/2688 loss£º0.011020
  10421. 2022-11-10 23:43:27,884 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:200/2688 loss£º0.002532
  10422. 2022-11-10 23:43:28,211 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:201/2688 loss£º0.027680
  10423. 2022-11-10 23:43:28,547 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:202/2688 loss£º0.004560
  10424. 2022-11-10 23:43:28,886 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:203/2688 loss£º0.796982
  10425. 2022-11-10 23:43:29,224 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:204/2688 loss£º0.008622
  10426. 2022-11-10 23:43:29,553 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:205/2688 loss£º0.003542
  10427. 2022-11-10 23:43:29,882 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:206/2688 loss£º0.010381
  10428. 2022-11-10 23:43:30,228 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:207/2688 loss£º0.031889
  10429. 2022-11-10 23:43:30,570 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:208/2688 loss£º0.208544
  10430. 2022-11-10 23:43:30,898 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:209/2688 loss£º0.015490
  10431. 2022-11-10 23:43:31,232 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:210/2688 loss£º0.011979
  10432. 2022-11-10 23:43:31,562 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:211/2688 loss£º0.015585
  10433. 2022-11-10 23:43:31,906 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:212/2688 loss£º0.016168
  10434. 2022-11-10 23:43:32,237 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:213/2688 loss£º0.009844
  10435. 2022-11-10 23:43:32,580 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:214/2688 loss£º0.036334
  10436. 2022-11-10 23:43:32,921 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:215/2688 loss£º0.087360
  10437. 2022-11-10 23:43:33,252 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:216/2688 loss£º0.048759
  10438. 2022-11-10 23:43:33,595 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:217/2688 loss£º0.019913
  10439. 2022-11-10 23:43:33,931 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:218/2688 loss£º0.004822
  10440. 2022-11-10 23:43:34,265 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:219/2688 loss£º0.074628
  10441. 2022-11-10 23:43:34,594 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:220/2688 loss£º0.059844
  10442. 2022-11-10 23:43:34,929 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:221/2688 loss£º0.027297
  10443. 2022-11-10 23:43:35,267 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:222/2688 loss£º0.004288
  10444. 2022-11-10 23:43:35,599 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:223/2688 loss£º0.025521
  10445. 2022-11-10 23:43:35,939 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:224/2688 loss£º0.003239
  10446. 2022-11-10 23:43:36,271 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:225/2688 loss£º0.003322
  10447. 2022-11-10 23:43:36,609 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:226/2688 loss£º0.006306
  10448. 2022-11-10 23:43:36,947 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:227/2688 loss£º0.018402
  10449. 2022-11-10 23:43:37,283 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:228/2688 loss£º0.003291
  10450. 2022-11-10 23:43:37,619 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:229/2688 loss£º0.549904
  10451. 2022-11-10 23:43:37,947 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:230/2688 loss£º0.006846
  10452. 2022-11-10 23:43:38,283 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:231/2688 loss£º0.004560
  10453. 2022-11-10 23:43:38,612 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:232/2688 loss£º0.013681
  10454. 2022-11-10 23:43:38,952 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:233/2688 loss£º0.012699
  10455. 2022-11-10 23:43:39,287 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:234/2688 loss£º0.007482
  10456. 2022-11-10 23:43:39,627 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:235/2688 loss£º0.015700
  10457. 2022-11-10 23:43:39,845 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:236/2688 loss£º0.008847
  10458. 2022-11-10 23:43:40,178 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:237/2688 loss£º0.382613
  10459. 2022-11-10 23:43:40,511 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:238/2688 loss£º1.883562
  10460. 2022-11-10 23:43:40,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:239/2688 loss£º0.001580
  10461. 2022-11-10 23:43:41,176 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:240/2688 loss£º0.003220
  10462. 2022-11-10 23:43:41,509 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:241/2688 loss£º0.013407
  10463. 2022-11-10 23:43:41,838 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:242/2688 loss£º2.334862
  10464. 2022-11-10 23:43:42,166 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:243/2688 loss£º0.212771
  10465. 2022-11-10 23:43:42,501 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:244/2688 loss£º0.029304
  10466. 2022-11-10 23:43:42,831 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:245/2688 loss£º0.005368
  10467. 2022-11-10 23:43:43,168 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:246/2688 loss£º0.267961
  10468. 2022-11-10 23:43:43,378 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:247/2688 loss£º0.006857
  10469. 2022-11-10 23:43:43,712 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:248/2688 loss£º0.015825
  10470. 2022-11-10 23:43:44,049 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:249/2688 loss£º0.008790
  10471. 2022-11-10 23:43:44,382 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:250/2688 loss£º3.199830
  10472. 2022-11-10 23:43:44,721 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:251/2688 loss£º0.015067
  10473. 2022-11-10 23:43:45,057 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:252/2688 loss£º0.049639
  10474. 2022-11-10 23:43:45,393 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:253/2688 loss£º0.033379
  10475. 2022-11-10 23:43:45,734 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:254/2688 loss£º0.039297
  10476. 2022-11-10 23:43:46,076 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:255/2688 loss£º0.032410
  10477. 2022-11-10 23:43:46,406 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:256/2688 loss£º0.079567
  10478. 2022-11-10 23:43:46,741 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:257/2688 loss£º0.100658
  10479. 2022-11-10 23:43:47,078 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:258/2688 loss£º0.821999
  10480. 2022-11-10 23:43:47,408 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:259/2688 loss£º0.074997
  10481. 2022-11-10 23:43:47,741 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:260/2688 loss£º0.016723
  10482. 2022-11-10 23:43:48,080 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:261/2688 loss£º0.068749
  10483. 2022-11-10 23:43:48,287 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:262/2688 loss£º0.012841
  10484. 2022-11-10 23:43:48,621 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:263/2688 loss£º0.045659
  10485. 2022-11-10 23:43:48,956 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:264/2688 loss£º0.048292
  10486. 2022-11-10 23:43:49,291 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:265/2688 loss£º0.327623
  10487. 2022-11-10 23:43:49,619 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:266/2688 loss£º0.462866
  10488. 2022-11-10 23:43:49,953 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:267/2688 loss£º0.031255
  10489. 2022-11-10 23:43:50,291 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:268/2688 loss£º0.043363
  10490. 2022-11-10 23:43:50,622 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:269/2688 loss£º0.439195
  10491. 2022-11-10 23:43:50,963 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:270/2688 loss£º0.145571
  10492. 2022-11-10 23:43:51,296 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:271/2688 loss£º0.040463
  10493. 2022-11-10 23:43:51,624 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:272/2688 loss£º0.983633
  10494. 2022-11-10 23:43:51,960 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:273/2688 loss£º0.024104
  10495. 2022-11-10 23:43:52,298 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:274/2688 loss£º0.194675
  10496. 2022-11-10 23:43:52,635 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:275/2688 loss£º0.021055
  10497. 2022-11-10 23:43:52,969 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:276/2688 loss£º0.036767
  10498. 2022-11-10 23:43:53,309 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:277/2688 loss£º0.047978
  10499. 2022-11-10 23:43:53,643 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:278/2688 loss£º0.012217
  10500. 2022-11-10 23:43:53,974 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:279/2688 loss£º1.451632
  10501. 2022-11-10 23:43:54,305 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:280/2688 loss£º0.011821
  10502. 2022-11-10 23:43:54,519 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:281/2688 loss£º0.014727
  10503. 2022-11-11 10:30:29,892 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  10504. 2022-11-11 10:30:30,211 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  10505. 2022-11-11 10:30:30,534 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  10506. 2022-11-11 10:30:30,869 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  10507. 2022-11-11 10:30:31,189 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  10508. 2022-11-11 10:30:31,516 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  10509. 2022-11-11 10:30:31,853 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  10510. 2022-11-11 10:30:32,180 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  10511. 2022-11-11 10:30:32,503 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  10512. 2022-11-11 10:30:32,825 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  10513. 2022-11-11 10:30:33,154 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  10514. 2022-11-11 10:30:33,476 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  10515. 2022-11-11 10:30:33,793 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  10516. 2022-11-11 10:30:34,120 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  10517. 2022-11-11 10:30:34,329 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  10518. 2022-11-11 10:30:34,661 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  10519. 2022-11-11 10:30:34,871 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  10520. 2022-11-11 10:30:35,203 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  10521. 2022-11-11 10:30:35,537 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  10522. 2022-11-11 10:30:35,861 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  10523. 2022-11-11 10:30:36,183 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  10524. 2022-12-01 20:29:21,640 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482
  10525. 2022-12-01 20:29:21,952 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:1/2688 loss£º1.499144
  10526. 2022-12-01 20:29:22,265 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:2/2688 loss£º1.123996
  10527. 2022-12-01 20:29:22,608 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:3/2688 loss£º0.625085
  10528. 2022-12-01 20:29:22,921 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:4/2688 loss£º1.164915
  10529. 2022-12-01 20:29:23,233 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:5/2688 loss£º0.201317
  10530. 2022-12-01 20:29:23,561 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:6/2688 loss£º0.209974
  10531. 2022-12-01 20:29:23,889 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:7/2688 loss£º0.069630
  10532. 2022-12-01 20:29:24,202 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:8/2688 loss£º0.066316
  10533. 2022-12-01 20:29:24,530 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:9/2688 loss£º0.030863
  10534. 2022-12-01 20:29:24,858 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:10/2688 loss£º0.035351
  10535. 2022-12-01 20:29:25,170 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:11/2688 loss£º0.016563
  10536. 2022-12-01 20:29:25,498 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:12/2688 loss£º0.019172
  10537. 2022-12-01 20:29:25,826 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:13/2688 loss£º0.016066
  10538. 2022-12-01 20:29:26,030 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:14/2688 loss£º0.011039
  10539. 2022-12-01 20:29:26,358 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:15/2688 loss£º0.007865
  10540. 2022-12-01 20:29:26,561 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:16/2688 loss£º0.003502
  10541. 2022-12-01 20:29:26,889 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:17/2688 loss£º0.009001
  10542. 2022-12-01 20:29:27,217 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:18/2688 loss£º0.005158
  10543. 2022-12-01 20:29:27,545 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:19/2688 loss£º0.003290
  10544. 2022-12-01 20:29:27,873 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:20/2688 loss£º0.003202
  10545. 2022-12-01 20:29:28,185 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:21/2688 loss£º0.005262
  10546. 2022-12-01 20:29:28,513 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:22/2688 loss£º0.003604
  10547. 2022-12-01 20:29:28,841 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:23/2688 loss£º0.003385
  10548. 2022-12-01 20:29:29,169 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:24/2688 loss£º0.001615
  10549. 2022-12-01 20:29:29,497 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:25/2688 loss£º0.003858
  10550. 2022-12-01 20:29:29,810 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:26/2688 loss£º0.003558
  10551. 2022-12-01 20:29:30,138 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:27/2688 loss£º0.001739
  10552. 2022-12-01 20:29:30,482 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:28/2688 loss£º4.105797
  10553. 2022-12-01 20:29:30,794 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:29/2688 loss£º0.005065
  10554. 2022-12-01 20:29:31,122 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:30/2688 loss£º0.003172
  10555. 2022-12-01 20:29:31,450 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:31/2688 loss£º0.003677
  10556. 2022-12-01 20:29:31,778 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:32/2688 loss£º3.325720
  10557. 2022-12-01 20:29:32,091 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:33/2688 loss£º3.143489
  10558. 2022-12-01 20:29:32,419 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:34/2688 loss£º0.008313
  10559. 2022-12-01 20:29:32,747 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:35/2688 loss£º0.007896
  10560. 2022-12-01 20:29:33,075 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:36/2688 loss£º0.013320
  10561. 2022-12-01 20:29:33,403 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:37/2688 loss£º0.022339
  10562. 2022-12-01 20:29:33,606 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:38/2688 loss£º0.051035
  10563. 2022-12-01 20:29:33,934 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:39/2688 loss£º0.036786
  10564. 2022-12-01 20:29:34,262 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:40/2688 loss£º0.093870
  10565. 2022-12-01 20:29:34,590 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:41/2688 loss£º0.106166
  10566. 2022-12-01 20:29:34,918 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:42/2688 loss£º0.078973
  10567. 2022-12-01 20:29:35,246 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:43/2688 loss£º0.079709
  10568. 2022-12-01 20:29:35,590 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:44/2688 loss£º0.065056
  10569. 2022-12-01 20:29:35,918 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:45/2688 loss£º0.028478
  10570. 2022-12-01 20:29:36,230 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:46/2688 loss£º0.040557
  10571. 2022-12-01 20:29:36,558 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:47/2688 loss£º0.044330
  10572. 2022-12-01 20:29:36,886 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:48/2688 loss£º0.042373
  10573. 2022-12-01 20:29:37,214 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:49/2688 loss£º0.033207
  10574. 2022-12-01 20:29:37,417 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:50/2688 loss£º0.029671
  10575. 2022-12-01 20:29:37,730 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:51/2688 loss£º2.401934
  10576. 2022-12-01 20:29:38,058 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:52/2688 loss£º1.383365
  10577. 2022-12-01 20:29:38,402 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:53/2688 loss£º0.064671
  10578. 2022-12-01 20:29:38,714 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:54/2688 loss£º1.728102
  10579. 2022-12-01 20:29:39,042 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:55/2688 loss£º0.073153
  10580. 2022-12-01 20:29:39,386 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:56/2688 loss£º0.921958
  10581. 2022-12-01 20:29:39,698 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:57/2688 loss£º0.241711
  10582. 2022-12-01 20:29:40,042 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:58/2688 loss£º3.817934
  10583. 2022-12-01 20:29:40,370 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:59/2688 loss£º0.831552
  10584. 2022-12-01 20:29:40,698 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:60/2688 loss£º0.653378
  10585. 2022-12-01 20:29:41,042 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:61/2688 loss£º1.165219
  10586. 2022-12-01 20:29:41,370 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:62/2688 loss£º0.423998
  10587. 2022-12-01 20:29:41,698 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:63/2688 loss£º0.529469
  10588. 2022-12-10 16:57:38,631 - INFO - main.py - train - 88 - ¡¾train¡¿ epoch£º0 step:0/2688 loss£º1.694482