Token indices sequence length is longer than the specified maximum sequence length for this model (548 > 512). Running this sequence through the model will result in indexing errors
Some weights of RobertaForTokenClassification were not initialized from the model checkpoint at jhgan/ko-sroberta-multitask and are newly initialized: ['classifier.bias', 'classifier.weight']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
/home/deep/gitprojects/ko-sroberta-korean-time-expression-classifier/src/time_expression_classifier/train_token_classifier.py:251: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `Trainer.__init__`. Use `processing_class` instead.
  trainer = Trainer(
Skipped 1 records with TIMEX spans beyond max_length=256.

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  4%|▍         | 1970/45526 [04:23<1:29:51,  8.08it/s]
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  4%|▍         | 1982/45526 [04:25<1:36:58,  7.48it/s]
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  4%|▍         | 1988/45526 [04:25<1:35:01,  7.64it/s]
  4%|▍         | 1989/45526 [04:26<1:29:20,  8.12it/s]
  4%|▍         | 1990/45526 [04:26<1:33:46,  7.74it/s]
  4%|▍         | 1991/45526 [04:26<1:38:41,  7.35it/s]
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  4%|▍         | 1996/45526 [04:26<1:37:18,  7.46it/s]
  4%|▍         | 1997/45526 [04:27<1:37:02,  7.48it/s]
  4%|▍         | 1998/45526 [04:27<1:48:32,  6.68it/s]
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  4%|▍         | 2008/45526 [04:28<1:35:22,  7.60it/s]
  4%|▍         | 2010/45526 [04:28<1:31:33,  7.92it/s]
  4%|▍         | 2011/45526 [04:28<1:36:00,  7.55it/s]
  4%|▍         | 2012/45526 [04:29<1:38:36,  7.35it/s]
  4%|▍         | 2013/45526 [04:29<1:34:21,  7.69it/s]
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  4%|▍         | 2015/45526 [04:29<1:47:21,  6.75it/s]
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  4%|▍         | 2019/45526 [04:30<1:40:17,  7.23it/s]
  4%|▍         | 2020/45526 [04:30<1:42:52,  7.05it/s]
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{'loss': 0.0331, 'grad_norm': 0.1585899293422699, 'learning_rate': 2.0699397111744637e-05, 'epoch': 0.7}
{'loss': 0.0334, 'grad_norm': 0.21072709560394287, 'learning_rate': 2.0348880684208068e-05, 'epoch': 0.72}
{'loss': 0.0337, 'grad_norm': 0.17171703279018402, 'learning_rate': 1.9998364256671494e-05, 'epoch': 0.75}
{'loss': 0.0346, 'grad_norm': 0.22230125963687897, 'learning_rate': 1.9647847829134925e-05, 'epoch': 0.77}
{'loss': 0.0319, 'grad_norm': 0.2730206549167633, 'learning_rate': 1.9297331401598355e-05, 'epoch': 0.79}
{'loss': 0.0327, 'grad_norm': 0.14636601507663727, 'learning_rate': 1.8946814974061785e-05, 'epoch': 0.81}
{'loss': 0.0341, 'grad_norm': 1.5228461027145386, 'learning_rate': 1.8596298546525215e-05, 'epoch': 0.83}
{'loss': 0.0326, 'grad_norm': 0.1553647518157959, 'learning_rate': 1.8245782118988642e-05, 'epoch': 0.86}
{'loss': 0.0326, 'grad_norm': 0.05325151979923248, 'learning_rate': 1.7895265691452076e-05, 'epoch': 0.88}
{'loss': 0.0321, 'grad_norm': 0.17945905029773712, 'learning_rate': 1.7544749263915502e-05, 'epoch': 0.9}
{'loss': 0.0336, 'grad_norm': 0.20510447025299072, 'learning_rate': 1.7194232836378933e-05, 'epoch': 0.92}
{'loss': 0.0328, 'grad_norm': 0.2866133451461792, 'learning_rate': 1.684371640884236e-05, 'epoch': 0.94}
{'loss': 0.0335, 'grad_norm': 0.2748909592628479, 'learning_rate': 1.649319998130579e-05, 'epoch': 0.97}
{'loss': 0.032, 'grad_norm': 0.14319944381713867, 'learning_rate': 1.6142683553769223e-05, 'epoch': 0.99}


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{'eval_loss': 0.034969817847013474, 'eval_precision': 0.8264533883728931, 'eval_recall': 0.8267614923575464, 'eval_f1': 0.8266074116550786, 'eval_token_accuracy': 0.9898756337293201, 'eval_label_date_precision': 0.8494581707845688, 'eval_label_date_recall': 0.8366919989753223, 'eval_label_date_f1': 0.8430267572915771, 'eval_label_date_support': 23422, 'eval_label_time_precision': 0.7933171651845864, 'eval_label_time_recall': 0.8032742155525239, 'eval_label_time_f1': 0.7982646420824295, 'eval_label_time_support': 3665, 'eval_label_duration_precision': 0.7847959754052544, 'eval_label_duration_recall': 0.824669603524229, 'eval_label_duration_f1': 0.8042388658169841, 'eval_label_duration_support': 6810, 'eval_label_set_precision': 0.7106652587117213, 'eval_label_set_recall': 0.6909650924024641, 'eval_label_set_f1': 0.7006767308693389, 'eval_label_set_support': 974, 'eval_runtime': 98.4482, 'eval_samples_per_second': 455.996, 'eval_steps_per_second': 28.502, 'epoch': 2.0}
{'train_runtime': 6294.4386, 'train_samples_per_second': 115.721, 'train_steps_per_second': 7.233, 'train_loss': 0.0383534515013475, 'epoch': 2.0}

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