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Training in progress, epoch 2

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train.log CHANGED
@@ -354,4 +354,60 @@ You should probably TRAIN this model on a down-stream task to be able to use it
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  [INFO|tokenization_utils_base.py:2693] 2024-09-09 12:16:22,529 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-171/special_tokens_map.json
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  [INFO|tokenization_utils_base.py:2684] 2024-09-09 12:16:25,565 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
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  [INFO|tokenization_utils_base.py:2693] 2024-09-09 12:16:25,565 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
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  20%|██ | 342/1710 [02:49<11:08, 2.05it/s][INFO|trainer.py:811] 2024-09-09 12:17:44,889 >> The following columns in the evaluation set don't have a corresponding argument in `RobertaForTokenClassification.forward` and have been ignored: ner_tags, id, tokens. If ner_tags, id, tokens are not expected by `RobertaForTokenClassification.forward`, you can safely ignore this message.
635
+ [INFO|trainer.py:3819] 2024-09-09 12:17:44,891 >>
636
+ ***** Running Evaluation *****
637
+ [INFO|trainer.py:3821] 2024-09-09 12:17:44,891 >> Num examples = 2519
638
+ [INFO|trainer.py:3824] 2024-09-09 12:17:44,891 >> Batch size = 8
639
+ {'eval_loss': 0.15023551881313324, 'eval_precision': 0.5421052631578948, 'eval_recall': 0.6765188834154351, 'eval_f1': 0.6018991964937911, 'eval_accuracy': 0.9458275851005807, 'eval_runtime': 5.988, 'eval_samples_per_second': 420.673, 'eval_steps_per_second': 52.605, 'epoch': 1.0}
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