bert_bilstm_crf.log 575 KB

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  1. 2021-08-16 14:11:42,025 - INFO - main.py - <module> - 181 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  2. 2021-08-16 14:11:42,026 - INFO - main.py - <module> - 183 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  3. 2021-08-16 14:16:26,807 - INFO - main.py - <module> - 181 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  4. 2021-08-16 14:16:26,808 - INFO - main.py - <module> - 183 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5. 2021-08-16 14:19:54,863 - INFO - main.py - <module> - 181 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  6. 2021-08-16 14:19:55,070 - INFO - main.py - <module> - 183 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  7. 2021-08-16 14:20:48,788 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  8. 2021-08-16 14:20:51,144 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  9. 2021-08-16 14:20:53,065 - INFO - main.py - train - 55 - 【train】 epoch:0 1/53480 loss:108.4809
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  43. 2021-08-16 14:21:58,965 - INFO - main.py - train - 55 - 【train】 epoch:0 35/53480 loss:111.1313
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  49. 2021-08-16 14:22:11,021 - INFO - main.py - train - 55 - 【train】 epoch:0 41/53480 loss:108.0144
  50. 2021-08-16 14:22:40,678 - INFO - main.py - <module> - 181 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  51. 2021-08-16 14:22:40,679 - INFO - main.py - <module> - 183 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  52. 2021-08-16 14:23:31,729 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  53. 2021-08-16 14:23:33,979 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  54. 2021-08-16 14:23:35,894 - INFO - main.py - train - 55 - 【train】 epoch:0 1/53480 loss:108.4809
  55. 2021-08-16 14:23:37,822 - INFO - main.py - train - 55 - 【train】 epoch:0 2/53480 loss:112.7624
  56. 2021-08-16 14:23:39,755 - INFO - main.py - train - 55 - 【train】 epoch:0 3/53480 loss:102.9605
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  59. 2021-08-16 14:23:45,570 - INFO - main.py - train - 55 - 【train】 epoch:0 6/53480 loss:112.0403
  60. 2021-08-16 14:23:47,518 - INFO - main.py - train - 55 - 【train】 epoch:0 7/53480 loss:99.9585
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  64. 2021-08-16 14:23:55,380 - INFO - main.py - train - 55 - 【train】 epoch:0 11/53480 loss:98.5304
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  143. 2021-08-16 14:31:36,445 - INFO - main.py - <module> - 181 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  144. 2021-08-16 14:31:36,446 - INFO - main.py - <module> - 183 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  145. 2021-08-16 14:32:20,221 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  146. 2021-08-16 14:32:22,580 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
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  236. 2021-08-16 14:51:22,439 - INFO - main.py - <module> - 183 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  237. 2021-08-16 14:51:22,450 - INFO - main.py - <module> - 185 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  238. 2021-08-16 14:52:03,189 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  239. 2021-08-16 14:52:05,335 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  240. 2021-08-16 14:52:59,707 - INFO - main.py - <module> - 183 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  241. 2021-08-16 14:52:59,720 - INFO - main.py - <module> - 185 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  242. 2021-08-16 14:53:35,871 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  243. 2021-08-16 14:53:38,025 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  244. 2021-08-16 14:55:35,274 - INFO - main.py - <module> - 185 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  245. 2021-08-16 14:55:35,277 - INFO - main.py - <module> - 187 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  246. 2021-08-16 14:56:12,931 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  247. 2021-08-16 14:56:15,118 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  248. 2021-08-16 14:58:37,410 - INFO - main.py - <module> - 185 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  249. 2021-08-16 14:58:37,411 - INFO - main.py - <module> - 187 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  250. 2021-08-16 14:59:15,132 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  251. 2021-08-16 14:59:17,318 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  252. 2021-08-16 15:01:13,264 - INFO - main.py - <module> - 181 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  253. 2021-08-16 15:01:13,265 - INFO - main.py - <module> - 183 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  254. 2021-08-16 15:01:49,537 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  255. 2021-08-16 15:01:51,697 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  256. 2021-08-16 15:11:12,161 - INFO - main.py - <module> - 183 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  257. 2021-08-16 15:11:12,162 - INFO - main.py - <module> - 185 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  258. 2021-08-16 15:11:49,528 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  259. 2021-08-16 15:11:51,880 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  260. 2021-08-16 15:14:56,752 - INFO - main.py - <module> - 183 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  261. 2021-08-16 15:14:56,753 - INFO - main.py - <module> - 185 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  262. 2021-08-16 15:46:37,230 - INFO - main.py - <module> - 183 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  263. 2021-08-16 15:46:37,231 - INFO - main.py - <module> - 185 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  264. 2021-08-16 15:47:14,205 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  265. 2021-08-16 15:47:16,362 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  266. 2021-08-16 16:00:35,129 - INFO - main.py - <module> - 186 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  267. 2021-08-16 16:00:35,130 - INFO - main.py - <module> - 188 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  268. 2021-08-16 16:01:12,479 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  269. 2021-08-16 16:01:14,647 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  270. 2021-08-16 16:01:36,610 - INFO - main.py - <module> - 186 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  271. 2021-08-16 16:01:36,610 - INFO - main.py - <module> - 188 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  272. 2021-08-16 16:02:13,763 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  273. 2021-08-16 16:02:15,927 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  274. 2021-08-16 16:03:15,794 - INFO - main.py - <module> - 188 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  275. 2021-08-16 16:03:15,795 - INFO - main.py - <module> - 190 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  276. 2021-08-16 16:03:53,069 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  277. 2021-08-16 16:03:55,247 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  278. 2021-08-16 16:04:25,287 - INFO - main.py - <module> - 188 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  279. 2021-08-16 16:04:25,288 - INFO - main.py - <module> - 190 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  280. 2021-08-16 16:05:02,701 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  281. 2021-08-16 16:05:04,888 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  282. 2021-08-16 16:07:01,588 - INFO - main.py - <module> - 191 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  283. 2021-08-16 16:07:01,592 - INFO - main.py - <module> - 193 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  284. 2021-08-16 16:07:38,433 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  285. 2021-08-16 16:07:40,586 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  286. 2021-08-16 16:19:24,864 - INFO - main.py - <module> - 193 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  287. 2021-08-16 16:19:24,865 - INFO - main.py - <module> - 195 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  288. 2021-08-16 16:20:02,878 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  289. 2021-08-16 16:20:05,099 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  290. 2021-08-16 16:25:45,379 - INFO - main.py - <module> - 193 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  291. 2021-08-16 16:25:45,380 - INFO - main.py - <module> - 195 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  292. 2021-08-16 16:26:23,250 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  293. 2021-08-16 16:26:25,453 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  294. 2021-08-17 13:10:50,899 - INFO - main.py - <module> - 193 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  295. 2021-08-17 13:10:51,203 - INFO - main.py - <module> - 195 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  296. 2021-08-17 13:11:54,297 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  297. 2021-08-17 13:11:56,606 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  298. 2021-08-17 13:13:44,224 - INFO - main.py - <module> - 195 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  299. 2021-08-17 13:13:44,225 - INFO - main.py - <module> - 197 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  300. 2021-08-17 13:14:34,158 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  301. 2021-08-17 13:14:36,401 - INFO - main.py - train - 55 - 【train】 epoch:0 0/53480 loss:97.5663
  302. 2021-08-17 13:22:51,814 - INFO - main.py - <module> - 195 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  303. 2021-08-17 13:22:51,815 - INFO - main.py - <module> - 197 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=10, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  304. 2021-08-17 23:49:37,988 - INFO - main.py - <module> - 198 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  305. 2021-08-17 23:49:38,422 - INFO - main.py - <module> - 200 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  306. 2021-08-17 23:50:41,216 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  307. 2021-08-17 23:50:43,618 - INFO - main.py - train - 55 - 【train】 epoch:0 0/5348 loss:97.5663
  308. 2021-08-17 23:50:45,557 - INFO - main.py - train - 55 - 【train】 epoch:0 1/5348 loss:108.4809
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  2053. 2021-08-18 00:51:20,042 - INFO - main.py - train - 55 - 【train】 epoch:0 1746/5348 loss:3.0166
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  2713. 2021-08-18 01:14:17,885 - INFO - main.py - train - 55 - 【train】 epoch:0 2406/5348 loss:3.1590
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  2727. 2021-08-18 01:14:47,237 - INFO - main.py - train - 55 - 【train】 epoch:0 2420/5348 loss:3.4240
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  2730. 2021-08-18 01:14:53,494 - INFO - main.py - train - 55 - 【train】 epoch:0 2423/5348 loss:4.3858
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  2734. 2021-08-18 01:15:01,814 - INFO - main.py - train - 55 - 【train】 epoch:0 2427/5348 loss:4.0064
  2735. 2021-08-18 01:15:03,888 - INFO - main.py - train - 55 - 【train】 epoch:0 2428/5348 loss:2.5679
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  2755. 2021-08-18 01:15:45,723 - INFO - main.py - train - 55 - 【train】 epoch:0 2448/5348 loss:4.5443
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  2760. 2021-08-18 01:15:56,101 - INFO - main.py - train - 55 - 【train】 epoch:0 2453/5348 loss:2.9942
  2761. 2021-08-18 01:15:58,176 - INFO - main.py - train - 55 - 【train】 epoch:0 2454/5348 loss:1.8452
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  2763. 2021-08-18 01:16:02,345 - INFO - main.py - train - 55 - 【train】 epoch:0 2456/5348 loss:3.6137
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  2800. 2021-08-18 01:17:19,540 - INFO - main.py - train - 55 - 【train】 epoch:0 2493/5348 loss:5.7008
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  2877. 2021-08-18 01:20:00,593 - INFO - main.py - train - 55 - 【train】 epoch:0 2570/5348 loss:3.6581
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  3041. 2021-08-18 01:25:43,379 - INFO - main.py - train - 55 - 【train】 epoch:0 2734/5348 loss:2.3262
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  3098. 2021-08-18 01:27:42,892 - INFO - main.py - train - 55 - 【train】 epoch:0 2791/5348 loss:3.1519
  3099. 2021-08-18 01:27:45,022 - INFO - main.py - train - 55 - 【train】 epoch:0 2792/5348 loss:4.2802
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  3205. 2021-08-18 01:31:26,705 - INFO - main.py - train - 55 - 【train】 epoch:0 2898/5348 loss:3.3386
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  3240. 2021-08-18 01:32:39,790 - INFO - main.py - train - 55 - 【train】 epoch:0 2933/5348 loss:2.8617
  3241. 2021-08-18 01:32:41,875 - INFO - main.py - train - 55 - 【train】 epoch:0 2934/5348 loss:3.5870
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  3369. 2021-08-18 01:37:10,195 - INFO - main.py - train - 55 - 【train】 epoch:0 3062/5348 loss:2.8452
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  3408. 2021-08-18 01:38:31,938 - INFO - main.py - train - 55 - 【train】 epoch:0 3101/5348 loss:3.1697
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  3413. 2021-08-18 01:38:42,461 - INFO - main.py - train - 55 - 【train】 epoch:0 3106/5348 loss:1.8755
  3414. 2021-08-18 01:38:44,573 - INFO - main.py - train - 55 - 【train】 epoch:0 3107/5348 loss:3.9225
  3415. 2021-08-18 01:38:46,673 - INFO - main.py - train - 55 - 【train】 epoch:0 3108/5348 loss:3.1667
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  3417. 2021-08-18 01:38:50,895 - INFO - main.py - train - 55 - 【train】 epoch:0 3110/5348 loss:2.3687
  3418. 2021-08-18 01:38:53,008 - INFO - main.py - train - 55 - 【train】 epoch:0 3111/5348 loss:2.9357
  3419. 2021-08-18 01:38:55,107 - INFO - main.py - train - 55 - 【train】 epoch:0 3112/5348 loss:3.7716
  3420. 2021-08-18 01:38:57,207 - INFO - main.py - train - 55 - 【train】 epoch:0 3113/5348 loss:2.6599
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  3422. 2021-08-18 01:39:01,389 - INFO - main.py - train - 55 - 【train】 epoch:0 3115/5348 loss:3.3799
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  3426. 2021-08-18 01:39:09,759 - INFO - main.py - train - 55 - 【train】 epoch:0 3119/5348 loss:3.9314
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  3441. 2021-08-18 01:39:41,192 - INFO - main.py - train - 55 - 【train】 epoch:0 3134/5348 loss:2.4307
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  3443. 2021-08-18 01:39:45,399 - INFO - main.py - train - 55 - 【train】 epoch:0 3136/5348 loss:2.9226
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  3533. 2021-08-18 01:42:53,756 - INFO - main.py - train - 55 - 【train】 epoch:0 3226/5348 loss:3.4132
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  3697. 2021-08-18 01:48:37,079 - INFO - main.py - train - 55 - 【train】 epoch:0 3390/5348 loss:2.8462
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  3727. 2021-08-18 01:49:40,096 - INFO - main.py - train - 55 - 【train】 epoch:0 3420/5348 loss:4.8954
  3728. 2021-08-18 01:49:42,222 - INFO - main.py - train - 55 - 【train】 epoch:0 3421/5348 loss:4.4759
  3729. 2021-08-18 01:49:44,337 - INFO - main.py - train - 55 - 【train】 epoch:0 3422/5348 loss:3.0014
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  3731. 2021-08-18 01:49:48,562 - INFO - main.py - train - 55 - 【train】 epoch:0 3424/5348 loss:3.2413
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  3737. 2021-08-18 01:50:01,129 - INFO - main.py - train - 55 - 【train】 epoch:0 3430/5348 loss:3.8767
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  3861. 2021-08-18 01:54:20,777 - INFO - main.py - train - 55 - 【train】 epoch:0 3554/5348 loss:2.8037
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  3899. 2021-08-18 01:55:40,048 - INFO - main.py - train - 55 - 【train】 epoch:0 3592/5348 loss:2.3242
  3900. 2021-08-18 01:55:42,175 - INFO - main.py - train - 55 - 【train】 epoch:0 3593/5348 loss:3.4488
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  4025. 2021-08-18 02:00:04,154 - INFO - main.py - train - 55 - 【train】 epoch:0 3718/5348 loss:2.2343
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  4027. 2021-08-18 02:00:08,313 - INFO - main.py - train - 55 - 【train】 epoch:0 3720/5348 loss:3.0235
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  4029. 2021-08-18 02:00:12,463 - INFO - main.py - train - 55 - 【train】 epoch:0 3722/5348 loss:4.1928
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  4189. 2021-08-18 02:05:48,660 - INFO - main.py - train - 55 - 【train】 epoch:0 3882/5348 loss:2.7674
  4190. 2021-08-18 02:05:50,779 - INFO - main.py - train - 55 - 【train】 epoch:0 3883/5348 loss:3.3349
  4191. 2021-08-18 02:05:52,869 - INFO - main.py - train - 55 - 【train】 epoch:0 3884/5348 loss:3.1444
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  4193. 2021-08-18 02:05:57,068 - INFO - main.py - train - 55 - 【train】 epoch:0 3886/5348 loss:2.7525
  4194. 2021-08-18 02:05:59,163 - INFO - main.py - train - 55 - 【train】 epoch:0 3887/5348 loss:3.1037
  4195. 2021-08-18 02:06:01,252 - INFO - main.py - train - 55 - 【train】 epoch:0 3888/5348 loss:3.5018
  4196. 2021-08-18 02:06:03,354 - INFO - main.py - train - 55 - 【train】 epoch:0 3889/5348 loss:2.2894
  4197. 2021-08-18 02:06:05,470 - INFO - main.py - train - 55 - 【train】 epoch:0 3890/5348 loss:3.1170
  4198. 2021-08-18 02:06:07,575 - INFO - main.py - train - 55 - 【train】 epoch:0 3891/5348 loss:2.3451
  4199. 2021-08-18 02:06:09,670 - INFO - main.py - train - 55 - 【train】 epoch:0 3892/5348 loss:2.8102
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  4215. 2021-08-18 02:06:43,182 - INFO - main.py - train - 55 - 【train】 epoch:0 3908/5348 loss:1.6981
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  4218. 2021-08-18 02:06:49,496 - INFO - main.py - train - 55 - 【train】 epoch:0 3911/5348 loss:4.1418
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  4221. 2021-08-18 02:06:55,828 - INFO - main.py - train - 55 - 【train】 epoch:0 3914/5348 loss:3.4452
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  4223. 2021-08-18 02:07:00,075 - INFO - main.py - train - 55 - 【train】 epoch:0 3916/5348 loss:3.4097
  4224. 2021-08-18 02:07:02,170 - INFO - main.py - train - 55 - 【train】 epoch:0 3917/5348 loss:2.1850
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  4226. 2021-08-18 02:07:06,365 - INFO - main.py - train - 55 - 【train】 epoch:0 3919/5348 loss:2.5319
  4227. 2021-08-18 02:07:08,467 - INFO - main.py - train - 55 - 【train】 epoch:0 3920/5348 loss:3.2104
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  4229. 2021-08-18 02:07:12,640 - INFO - main.py - train - 55 - 【train】 epoch:0 3922/5348 loss:4.6824
  4230. 2021-08-18 02:07:14,724 - INFO - main.py - train - 55 - 【train】 epoch:0 3923/5348 loss:2.6203
  4231. 2021-08-18 02:07:16,820 - INFO - main.py - train - 55 - 【train】 epoch:0 3924/5348 loss:3.4182
  4232. 2021-08-18 02:07:18,905 - INFO - main.py - train - 55 - 【train】 epoch:0 3925/5348 loss:2.8275
  4233. 2021-08-18 02:07:20,997 - INFO - main.py - train - 55 - 【train】 epoch:0 3926/5348 loss:2.5495
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  4237. 2021-08-18 02:07:29,351 - INFO - main.py - train - 55 - 【train】 epoch:0 3930/5348 loss:2.7241
  4238. 2021-08-18 02:07:31,440 - INFO - main.py - train - 55 - 【train】 epoch:0 3931/5348 loss:2.8220
  4239. 2021-08-18 02:07:33,521 - INFO - main.py - train - 55 - 【train】 epoch:0 3932/5348 loss:3.5174
  4240. 2021-08-18 02:07:35,612 - INFO - main.py - train - 55 - 【train】 epoch:0 3933/5348 loss:2.2849
  4241. 2021-08-18 02:07:37,709 - INFO - main.py - train - 55 - 【train】 epoch:0 3934/5348 loss:2.2729
  4242. 2021-08-18 02:07:39,814 - INFO - main.py - train - 55 - 【train】 epoch:0 3935/5348 loss:2.0965
  4243. 2021-08-18 02:07:41,914 - INFO - main.py - train - 55 - 【train】 epoch:0 3936/5348 loss:2.4176
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  4245. 2021-08-18 02:07:46,133 - INFO - main.py - train - 55 - 【train】 epoch:0 3938/5348 loss:3.5301
  4246. 2021-08-18 02:07:48,237 - INFO - main.py - train - 55 - 【train】 epoch:0 3939/5348 loss:3.2567
  4247. 2021-08-18 02:07:50,347 - INFO - main.py - train - 55 - 【train】 epoch:0 3940/5348 loss:2.7471
  4248. 2021-08-18 02:07:52,464 - INFO - main.py - train - 55 - 【train】 epoch:0 3941/5348 loss:1.9023
  4249. 2021-08-18 02:07:54,570 - INFO - main.py - train - 55 - 【train】 epoch:0 3942/5348 loss:4.4030
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  4353. 2021-08-18 02:11:32,044 - INFO - main.py - train - 55 - 【train】 epoch:0 4046/5348 loss:3.4265
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  4517. 2021-08-18 02:17:15,659 - INFO - main.py - train - 55 - 【train】 epoch:0 4210/5348 loss:3.1866
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  4681. 2021-08-18 02:22:59,074 - INFO - main.py - train - 55 - 【train】 epoch:0 4374/5348 loss:2.9447
  4682. 2021-08-18 02:23:01,166 - INFO - main.py - train - 55 - 【train】 epoch:0 4375/5348 loss:2.4062
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  4684. 2021-08-18 02:23:05,353 - INFO - main.py - train - 55 - 【train】 epoch:0 4377/5348 loss:4.0696
  4685. 2021-08-18 02:23:07,439 - INFO - main.py - train - 55 - 【train】 epoch:0 4378/5348 loss:2.5064
  4686. 2021-08-18 02:23:09,524 - INFO - main.py - train - 55 - 【train】 epoch:0 4379/5348 loss:2.2566
  4687. 2021-08-18 02:23:11,615 - INFO - main.py - train - 55 - 【train】 epoch:0 4380/5348 loss:3.8192
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  4689. 2021-08-18 02:23:15,773 - INFO - main.py - train - 55 - 【train】 epoch:0 4382/5348 loss:1.6959
  4690. 2021-08-18 02:23:17,859 - INFO - main.py - train - 55 - 【train】 epoch:0 4383/5348 loss:3.9189
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  4692. 2021-08-18 02:23:22,041 - INFO - main.py - train - 55 - 【train】 epoch:0 4385/5348 loss:2.0483
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  4694. 2021-08-18 02:23:26,237 - INFO - main.py - train - 55 - 【train】 epoch:0 4387/5348 loss:3.1240
  4695. 2021-08-18 02:23:28,345 - INFO - main.py - train - 55 - 【train】 epoch:0 4388/5348 loss:2.6913
  4696. 2021-08-18 02:23:30,425 - INFO - main.py - train - 55 - 【train】 epoch:0 4389/5348 loss:1.5571
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  4698. 2021-08-18 02:23:34,623 - INFO - main.py - train - 55 - 【train】 epoch:0 4391/5348 loss:5.4549
  4699. 2021-08-18 02:23:36,706 - INFO - main.py - train - 55 - 【train】 epoch:0 4392/5348 loss:2.3320
  4700. 2021-08-18 02:23:38,831 - INFO - main.py - train - 55 - 【train】 epoch:0 4393/5348 loss:3.6464
  4701. 2021-08-18 02:23:40,947 - INFO - main.py - train - 55 - 【train】 epoch:0 4394/5348 loss:2.6494
  4702. 2021-08-18 02:23:43,061 - INFO - main.py - train - 55 - 【train】 epoch:0 4395/5348 loss:2.2723
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  4704. 2021-08-18 02:23:47,301 - INFO - main.py - train - 55 - 【train】 epoch:0 4397/5348 loss:4.7555
  4705. 2021-08-18 02:23:49,413 - INFO - main.py - train - 55 - 【train】 epoch:0 4398/5348 loss:2.6760
  4706. 2021-08-18 02:23:51,518 - INFO - main.py - train - 55 - 【train】 epoch:0 4399/5348 loss:2.0999
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  4710. 2021-08-18 02:23:59,960 - INFO - main.py - train - 55 - 【train】 epoch:0 4403/5348 loss:3.7013
  4711. 2021-08-18 02:24:02,068 - INFO - main.py - train - 55 - 【train】 epoch:0 4404/5348 loss:2.7638
  4712. 2021-08-18 02:24:04,174 - INFO - main.py - train - 55 - 【train】 epoch:0 4405/5348 loss:2.8501
  4713. 2021-08-18 02:24:06,253 - INFO - main.py - train - 55 - 【train】 epoch:0 4406/5348 loss:2.4023
  4714. 2021-08-18 02:24:08,342 - INFO - main.py - train - 55 - 【train】 epoch:0 4407/5348 loss:4.1042
  4715. 2021-08-18 02:24:10,417 - INFO - main.py - train - 55 - 【train】 epoch:0 4408/5348 loss:3.6724
  4716. 2021-08-18 02:24:12,523 - INFO - main.py - train - 55 - 【train】 epoch:0 4409/5348 loss:3.4924
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  4718. 2021-08-18 02:24:16,715 - INFO - main.py - train - 55 - 【train】 epoch:0 4411/5348 loss:3.0258
  4719. 2021-08-18 02:24:18,808 - INFO - main.py - train - 55 - 【train】 epoch:0 4412/5348 loss:3.9742
  4720. 2021-08-18 02:24:20,889 - INFO - main.py - train - 55 - 【train】 epoch:0 4413/5348 loss:2.9881
  4721. 2021-08-18 02:24:22,993 - INFO - main.py - train - 55 - 【train】 epoch:0 4414/5348 loss:2.6079
  4722. 2021-08-18 02:24:25,083 - INFO - main.py - train - 55 - 【train】 epoch:0 4415/5348 loss:3.0038
  4723. 2021-08-18 02:24:27,174 - INFO - main.py - train - 55 - 【train】 epoch:0 4416/5348 loss:2.3915
  4724. 2021-08-18 02:24:29,260 - INFO - main.py - train - 55 - 【train】 epoch:0 4417/5348 loss:3.2469
  4725. 2021-08-18 02:24:31,353 - INFO - main.py - train - 55 - 【train】 epoch:0 4418/5348 loss:2.9682
  4726. 2021-08-18 02:24:33,443 - INFO - main.py - train - 55 - 【train】 epoch:0 4419/5348 loss:3.3183
  4727. 2021-08-18 02:24:35,520 - INFO - main.py - train - 55 - 【train】 epoch:0 4420/5348 loss:2.2804
  4728. 2021-08-18 02:24:37,612 - INFO - main.py - train - 55 - 【train】 epoch:0 4421/5348 loss:2.0583
  4729. 2021-08-18 02:24:39,703 - INFO - main.py - train - 55 - 【train】 epoch:0 4422/5348 loss:2.9429
  4730. 2021-08-18 02:24:41,788 - INFO - main.py - train - 55 - 【train】 epoch:0 4423/5348 loss:1.6771
  4731. 2021-08-18 02:24:43,910 - INFO - main.py - train - 55 - 【train】 epoch:0 4424/5348 loss:3.5682
  4732. 2021-08-18 02:24:46,019 - INFO - main.py - train - 55 - 【train】 epoch:0 4425/5348 loss:3.8860
  4733. 2021-08-18 02:24:48,129 - INFO - main.py - train - 55 - 【train】 epoch:0 4426/5348 loss:2.2295
  4734. 2021-08-18 02:24:50,230 - INFO - main.py - train - 55 - 【train】 epoch:0 4427/5348 loss:3.0344
  4735. 2021-08-18 02:24:52,357 - INFO - main.py - train - 55 - 【train】 epoch:0 4428/5348 loss:2.5478
  4736. 2021-08-18 02:24:54,484 - INFO - main.py - train - 55 - 【train】 epoch:0 4429/5348 loss:2.9109
  4737. 2021-08-18 02:24:56,603 - INFO - main.py - train - 55 - 【train】 epoch:0 4430/5348 loss:3.6487
  4738. 2021-08-18 02:24:58,709 - INFO - main.py - train - 55 - 【train】 epoch:0 4431/5348 loss:2.4032
  4739. 2021-08-18 02:25:00,823 - INFO - main.py - train - 55 - 【train】 epoch:0 4432/5348 loss:4.4095
  4740. 2021-08-18 02:25:02,929 - INFO - main.py - train - 55 - 【train】 epoch:0 4433/5348 loss:1.7857
  4741. 2021-08-18 02:25:05,033 - INFO - main.py - train - 55 - 【train】 epoch:0 4434/5348 loss:3.1080
  4742. 2021-08-18 02:25:07,140 - INFO - main.py - train - 55 - 【train】 epoch:0 4435/5348 loss:2.3219
  4743. 2021-08-18 02:25:09,230 - INFO - main.py - train - 55 - 【train】 epoch:0 4436/5348 loss:3.5934
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  4748. 2021-08-18 02:25:19,712 - INFO - main.py - train - 55 - 【train】 epoch:0 4441/5348 loss:2.0785
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  4751. 2021-08-18 02:25:26,046 - INFO - main.py - train - 55 - 【train】 epoch:0 4444/5348 loss:4.5930
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  4762. 2021-08-18 02:25:49,082 - INFO - main.py - train - 55 - 【train】 epoch:0 4455/5348 loss:3.1733
  4763. 2021-08-18 02:25:51,170 - INFO - main.py - train - 55 - 【train】 epoch:0 4456/5348 loss:2.5914
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  4845. 2021-08-18 02:28:42,285 - INFO - main.py - train - 55 - 【train】 epoch:0 4538/5348 loss:3.9537
  4846. 2021-08-18 02:28:44,389 - INFO - main.py - train - 55 - 【train】 epoch:0 4539/5348 loss:4.9305
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  4848. 2021-08-18 02:28:48,591 - INFO - main.py - train - 55 - 【train】 epoch:0 4541/5348 loss:3.6447
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  4850. 2021-08-18 02:28:52,793 - INFO - main.py - train - 55 - 【train】 epoch:0 4543/5348 loss:3.2018
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  4860. 2021-08-18 02:29:13,627 - INFO - main.py - train - 55 - 【train】 epoch:0 4553/5348 loss:3.3678
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  4869. 2021-08-18 02:29:32,353 - INFO - main.py - train - 55 - 【train】 epoch:0 4562/5348 loss:3.8024
  4870. 2021-08-18 02:29:34,429 - INFO - main.py - train - 55 - 【train】 epoch:0 4563/5348 loss:2.1815
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  4877. 2021-08-18 02:29:49,063 - INFO - main.py - train - 55 - 【train】 epoch:0 4570/5348 loss:3.3354
  4878. 2021-08-18 02:29:51,153 - INFO - main.py - train - 55 - 【train】 epoch:0 4571/5348 loss:2.6353
  4879. 2021-08-18 02:29:53,246 - INFO - main.py - train - 55 - 【train】 epoch:0 4572/5348 loss:2.7123
  4880. 2021-08-18 02:29:55,333 - INFO - main.py - train - 55 - 【train】 epoch:0 4573/5348 loss:2.7476
  4881. 2021-08-18 02:29:57,424 - INFO - main.py - train - 55 - 【train】 epoch:0 4574/5348 loss:1.8140
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  4885. 2021-08-18 02:30:05,812 - INFO - main.py - train - 55 - 【train】 epoch:0 4578/5348 loss:1.9791
  4886. 2021-08-18 02:30:07,874 - INFO - main.py - train - 55 - 【train】 epoch:0 4579/5348 loss:2.8970
  4887. 2021-08-18 02:30:09,944 - INFO - main.py - train - 55 - 【train】 epoch:0 4580/5348 loss:3.3230
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  4891. 2021-08-18 02:30:18,303 - INFO - main.py - train - 55 - 【train】 epoch:0 4584/5348 loss:4.2664
  4892. 2021-08-18 02:30:20,395 - INFO - main.py - train - 55 - 【train】 epoch:0 4585/5348 loss:2.5371
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  4894. 2021-08-18 02:30:24,562 - INFO - main.py - train - 55 - 【train】 epoch:0 4587/5348 loss:3.3842
  4895. 2021-08-18 02:30:26,656 - INFO - main.py - train - 55 - 【train】 epoch:0 4588/5348 loss:3.4792
  4896. 2021-08-18 02:30:28,755 - INFO - main.py - train - 55 - 【train】 epoch:0 4589/5348 loss:2.6944
  4897. 2021-08-18 02:30:30,848 - INFO - main.py - train - 55 - 【train】 epoch:0 4590/5348 loss:2.5457
  4898. 2021-08-18 02:30:32,949 - INFO - main.py - train - 55 - 【train】 epoch:0 4591/5348 loss:2.3879
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  4900. 2021-08-18 02:30:37,154 - INFO - main.py - train - 55 - 【train】 epoch:0 4593/5348 loss:2.4273
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  4902. 2021-08-18 02:30:41,345 - INFO - main.py - train - 55 - 【train】 epoch:0 4595/5348 loss:2.7170
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  4904. 2021-08-18 02:30:45,515 - INFO - main.py - train - 55 - 【train】 epoch:0 4597/5348 loss:3.4758
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  4910. 2021-08-18 02:30:57,983 - INFO - main.py - train - 55 - 【train】 epoch:0 4603/5348 loss:3.1711
  4911. 2021-08-18 02:31:00,059 - INFO - main.py - train - 55 - 【train】 epoch:0 4604/5348 loss:2.9554
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  5009. 2021-08-18 02:34:25,199 - INFO - main.py - train - 55 - 【train】 epoch:0 4702/5348 loss:2.4729
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  5026. 2021-08-18 02:35:00,963 - INFO - main.py - train - 55 - 【train】 epoch:0 4719/5348 loss:3.0666
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  5173. 2021-08-18 02:40:09,013 - INFO - main.py - train - 55 - 【train】 epoch:0 4866/5348 loss:2.3783
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  5178. 2021-08-18 02:40:19,432 - INFO - main.py - train - 55 - 【train】 epoch:0 4871/5348 loss:2.7987
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  5180. 2021-08-18 02:40:23,569 - INFO - main.py - train - 55 - 【train】 epoch:0 4873/5348 loss:2.5007
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  5189. 2021-08-18 02:40:42,297 - INFO - main.py - train - 55 - 【train】 epoch:0 4882/5348 loss:3.3944
  5190. 2021-08-18 02:40:44,391 - INFO - main.py - train - 55 - 【train】 epoch:0 4883/5348 loss:1.8702
  5191. 2021-08-18 02:40:46,491 - INFO - main.py - train - 55 - 【train】 epoch:0 4884/5348 loss:4.0255
  5192. 2021-08-18 02:40:48,575 - INFO - main.py - train - 55 - 【train】 epoch:0 4885/5348 loss:1.9854
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  5226. 2021-08-18 02:41:59,537 - INFO - main.py - train - 55 - 【train】 epoch:0 4919/5348 loss:2.6404
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  5337. 2021-08-18 02:45:51,572 - INFO - main.py - train - 55 - 【train】 epoch:0 5030/5348 loss:2.0633
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  5360. 2021-08-18 02:46:39,686 - INFO - main.py - train - 55 - 【train】 epoch:0 5053/5348 loss:4.2773
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  5365. 2021-08-18 02:46:50,211 - INFO - main.py - train - 55 - 【train】 epoch:0 5058/5348 loss:2.2009
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  5367. 2021-08-18 02:46:54,436 - INFO - main.py - train - 55 - 【train】 epoch:0 5060/5348 loss:3.3856
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  5655. 2021-08-18 02:56:54,520 - INFO - trainUtils.py - save_model - 70 - Saving model checkpoint to ./checkpoints/bert_bilstm_crf
  5656. 2021-08-18 11:19:55,422 - INFO - main.py - <module> - 209 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5657. 2021-08-18 11:19:55,861 - INFO - main.py - <module> - 211 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5658. 2021-08-18 11:20:56,432 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5659. 2021-08-18 11:21:03,329 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5660. 2021-08-18 11:21:08,816 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5661. 2021-08-18 11:22:33,666 - INFO - main.py - <module> - 209 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5662. 2021-08-18 11:22:33,667 - INFO - main.py - <module> - 211 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5663. 2021-08-18 11:23:16,795 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5664. 2021-08-18 11:23:18,294 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5665. 2021-08-18 11:23:30,091 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5666. 2021-08-18 11:40:13,156 - INFO - main.py - <module> - 209 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5667. 2021-08-18 11:40:13,158 - INFO - main.py - <module> - 211 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5668. 2021-08-18 11:40:56,515 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5669. 2021-08-18 11:40:58,007 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5670. 2021-08-18 11:41:09,745 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5671. 2021-08-18 12:02:09,646 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5672. 2021-08-18 12:02:09,651 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5673. 2021-08-18 12:02:50,804 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5674. 2021-08-18 12:02:52,299 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5675. 2021-08-18 12:03:03,592 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5676. 2021-08-18 12:03:51,780 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5677. 2021-08-18 12:03:51,781 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5678. 2021-08-18 12:04:31,452 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5679. 2021-08-18 12:04:32,941 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5680. 2021-08-18 12:04:44,208 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5681. 2021-08-18 12:08:05,903 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5682. 2021-08-18 12:08:05,908 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5683. 2021-08-18 12:08:43,557 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5684. 2021-08-18 12:08:45,181 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5685. 2021-08-18 12:08:51,819 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5686. 2021-08-18 12:17:05,417 - INFO - main.py - test - 144 - precision recall f1-score support
  5687. object 0.76 0.89 0.82 38656
  5688. subject 0.76 0.85 0.80 25103
  5689. micro avg 0.76 0.88 0.81 63759
  5690. macro avg 0.76 0.87 0.81 63759
  5691. weighted avg 0.76 0.88 0.81 63759
  5692. 2021-08-18 12:35:52,912 - INFO - main.py - <module> - 208 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5693. 2021-08-18 12:35:52,915 - INFO - main.py - <module> - 210 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5694. 2021-08-18 12:36:32,932 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5695. 2021-08-18 12:36:32,936 - INFO - main.py - <module> - 236 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5696. 2021-08-18 12:36:34,408 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5697. 2021-08-18 12:36:42,078 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5698. 2021-08-18 12:40:09,187 - INFO - main.py - <module> - 208 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5699. 2021-08-18 12:40:09,191 - INFO - main.py - <module> - 210 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5700. 2021-08-18 12:40:46,152 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5701. 2021-08-18 12:40:46,156 - INFO - main.py - <module> - 236 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5702. 2021-08-18 12:40:47,636 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5703. 2021-08-18 12:40:53,854 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5704. 2021-08-18 12:41:57,908 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5705. 2021-08-18 12:41:57,909 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5706. 2021-08-18 12:42:34,894 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5707. 2021-08-18 12:42:34,898 - INFO - main.py - <module> - 239 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5708. 2021-08-18 12:42:36,383 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5709. 2021-08-18 12:42:43,950 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5710. 2021-08-18 12:45:56,680 - INFO - main.py - <module> - 212 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5711. 2021-08-18 12:45:56,683 - INFO - main.py - <module> - 214 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5712. 2021-08-18 12:46:33,166 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5713. 2021-08-18 12:46:33,170 - INFO - main.py - <module> - 240 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5714. 2021-08-18 12:46:34,650 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5715. 2021-08-18 12:46:37,771 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5716. 2021-08-18 12:49:58,061 - INFO - main.py - <module> - 210 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5717. 2021-08-18 12:49:58,062 - INFO - main.py - <module> - 212 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5718. 2021-08-18 12:50:34,756 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5719. 2021-08-18 12:50:34,760 - INFO - main.py - <module> - 238 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5720. 2021-08-18 12:50:36,258 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5721. 2021-08-18 12:50:44,329 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5722. 2021-08-18 12:50:44,452 - INFO - main.py - predict - 170 - [('身》', 2, 'B'), ('》是', 3, 'I'), ('ut', 6, 'B'), ('tsider演唱', 7, 'I'), ('辑M', 26, 'B'), ('Maestro》。', 27, 'I'), ('身的', 42, 'B'), ('的感', 43, 'I'), ('身即', 48, 'B'), ('即是', 49, 'I')]
  5723. 2021-08-18 12:50:44,454 - INFO - main.py - <module> - 241 - 歌曲《墨写你的美》是由歌手冷漠演唱的一首歌曲
  5724. 2021-08-18 12:50:45,853 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5725. 2021-08-18 12:50:46,692 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5726. 2021-08-18 12:50:46,774 - INFO - main.py - predict - 170 - [('写你', 4, 'B'), ('你的美》是', 5, 'I'), ('漠演', 14, 'B'), ('演唱', 15, 'I')]
  5727. 2021-08-18 12:52:15,992 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5728. 2021-08-18 12:52:15,993 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5729. 2021-08-18 12:52:54,909 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5730. 2021-08-18 12:52:54,913 - INFO - main.py - <module> - 239 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5731. 2021-08-18 12:52:56,424 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5732. 2021-08-18 12:52:57,563 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5733. 2021-08-18 12:52:57,671 - INFO - main.py - predict - 171 - [('身》', 2, 'B'), ('》是', 3, 'I'), ('ut', 6, 'B'), ('tsider演唱', 7, 'I'), ('辑M', 26, 'B'), ('Maestro》。', 27, 'I'), ('身的', 42, 'B'), ('的感', 43, 'I'), ('身即', 48, 'B'), ('即是', 49, 'I')]
  5734. 2021-08-18 12:52:57,673 - INFO - main.py - <module> - 242 - 歌曲《墨写你的美》是由歌手冷漠演唱的一首歌曲
  5735. 2021-08-18 12:52:59,084 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5736. 2021-08-18 12:53:00,075 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5737. 2021-08-18 12:53:00,158 - INFO - main.py - predict - 171 - [('写你', 4, 'B'), ('你的美》是', 5, 'I'), ('漠演', 14, 'B'), ('演唱', 15, 'I')]
  5738. 2021-08-18 12:54:04,343 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5739. 2021-08-18 12:54:04,344 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5740. 2021-08-18 12:54:47,898 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5741. 2021-08-18 12:54:47,902 - INFO - main.py - <module> - 239 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5742. 2021-08-18 12:54:49,415 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5743. 2021-08-18 12:54:50,514 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5744. 2021-08-18 12:54:50,620 - INFO - main.py - predict - 171 - [('身》是', 2, 'subject'), ('utsider演唱', 6, 'object'), ('辑Maestro》。', 26, 'object'), ('身的感', 42, 'subject'), ('身即是', 48, 'subject')]
  5745. 2021-08-18 12:54:50,623 - INFO - main.py - <module> - 242 - 歌曲《墨写你的美》是由歌手冷漠演唱的一首歌曲
  5746. 2021-08-18 12:54:51,974 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5747. 2021-08-18 12:54:52,762 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5748. 2021-08-18 12:54:52,843 - INFO - main.py - predict - 171 - [('写你的美》是', 4, 'subject'), ('漠演唱', 14, 'object')]
  5749. 2021-08-18 12:55:46,286 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5750. 2021-08-18 12:55:46,287 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5751. 2021-08-18 12:56:29,495 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5752. 2021-08-18 12:56:29,499 - INFO - main.py - <module> - 239 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5753. 2021-08-18 12:56:30,996 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5754. 2021-08-18 12:56:32,076 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5755. 2021-08-18 12:56:32,208 - INFO - main.py - predict - 171 - [('单身》', 1, 'subject'), ('Outsider演', 5, 'object'), ('2辑Maestro》', 25, 'object'), ('单身的', 41, 'subject'), ('单身即', 47, 'subject')]
  5756. 2021-08-18 12:56:32,210 - INFO - main.py - <module> - 242 - 歌曲《墨写你的美》是由歌手冷漠演唱的一首歌曲
  5757. 2021-08-18 12:56:33,766 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5758. 2021-08-18 12:56:34,764 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5759. 2021-08-18 12:56:34,850 - INFO - main.py - predict - 171 - [('墨写你的美》', 3, 'subject'), ('冷漠演', 13, 'object')]
  5760. 2021-08-18 12:58:01,458 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5761. 2021-08-18 12:58:01,459 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5762. 2021-08-18 12:58:37,558 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5763. 2021-08-18 12:58:37,562 - INFO - main.py - <module> - 239 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5764. 2021-08-18 12:58:39,044 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5765. 2021-08-18 12:58:40,212 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5766. 2021-08-18 12:58:40,318 - INFO - main.py - predict - 171 - [('单身', 1, 'subject'), ('Outsider', 5, 'object'), ('2辑Maestro', 25, 'object'), ('单身', 41, 'subject'), ('单身', 47, 'subject')]
  5767. 2021-08-18 12:58:40,321 - INFO - main.py - <module> - 242 - 歌曲《墨写你的美》是由歌手冷漠演唱的一首歌曲
  5768. 2021-08-18 12:58:41,656 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5769. 2021-08-18 12:58:42,454 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['0']
  5770. 2021-08-18 12:58:42,536 - INFO - main.py - predict - 171 - [('墨写你的美', 3, 'subject'), ('冷漠', 13, 'object')]
  5771. 2021-08-18 13:20:10,327 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5772. 2021-08-18 13:20:10,560 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='0', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5773. 2021-08-18 13:22:28,005 - INFO - main.py - <module> - 211 - {0: 'O', 1: 'B-object', 2: 'I-object', 3: 'B-subject', 4: 'I-subject'}
  5774. 2021-08-18 13:22:28,006 - INFO - main.py - <module> - 213 - Namespace(adam_epsilon=1e-08, bert_dir='../model_hub/chinese-roberta-wwm-ext/', crf_lr=0.03, data_dir='../data/', dropout=0.3, dropout_prob=0.3, eval_batch_size=32, gpu_ids='-1', log_dir='./logs/', lr=3e-05, lstm_hidden=128, max_grad_norm=1.0, max_seq_len=300, num_layers=1, num_tags=5, other_lr=0.0003, output_dir='./checkpoints/', seed=123, swa_start=3, train_batch_size=32, train_epochs=1, use_crf='True', use_lstm='True', warmup_proportion=0.1, weight_decay=0.01)
  5775. 2021-08-18 13:23:07,063 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['-1']
  5776. 2021-08-18 13:23:07,068 - INFO - main.py - <module> - 239 - 《单身》是Outsider演唱的歌曲,收录于专辑《2辑Maestro》。描写一个人单身的感觉,单身即是痛苦的也是幸福的,在于人们如何去看待s
  5777. 2021-08-18 13:23:09,576 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5778. 2021-08-18 13:23:15,200 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['-1']
  5779. 2021-08-18 13:23:17,002 - INFO - main.py - predict - 171 - [('单身', 1, 'subject'), ('Outsider', 5, 'object'), ('2辑Maestro', 25, 'object'), ('单身', 41, 'subject'), ('单身', 47, 'subject')]
  5780. 2021-08-18 13:23:17,022 - INFO - main.py - <module> - 242 - 歌曲《墨写你的美》是由歌手冷漠演唱的一首歌曲
  5781. 2021-08-18 13:23:18,589 - INFO - trainUtils.py - load_model_and_parallel - 96 - Load ckpt from ./checkpoints/bert_bilstm_crf/model.pt
  5782. 2021-08-18 13:23:19,506 - INFO - trainUtils.py - load_model_and_parallel - 106 - Use single gpu in: ['-1']
  5783. 2021-08-18 13:23:20,846 - INFO - main.py - predict - 171 - [('墨写你的美', 3, 'subject'), ('冷漠', 13, 'object')]