Training in progress, epoch 10

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cb41259c7a12bfda715d98693e148afea3ba3cc65815dc0a92409b56c2b7c51d
+oid sha256:2c487e7595c4d1e9caeea01fdf8f0f914bbcad8ae0e57ba7446e6576ce4ce826
 size 430601004

train.log

@@ -1279,4 +1279,135 @@ You should probably TRAIN this model on a down-stream task to be able to use it
 [INFO|tokenization_utils_base.py:2693] 2024-09-09 14:43:22,721 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4032/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2684] 2024-09-09 14:43:25,122 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2693] 2024-09-09 14:43:25,123 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
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+[INFO|configuration_utils.py:472] 2024-09-09 14:46:11,920 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-4480/config.json
+[INFO|modeling_utils.py:2799] 2024-09-09 14:46:12,837 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-4480/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 14:46:12,838 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-4480/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 14:46:12,838 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4480/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 14:46:17,810 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 14:46:17,810 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:811] 2024-09-09 14:46:17,823 >> The following columns in the evaluation set don't have a corresponding argument in `BertForTokenClassification.forward` and have been ignored: id, tokens, ner_tags. If id, tokens, ner_tags are not expected by `BertForTokenClassification.forward`,  you can safely ignore this message.
+[INFO|trainer.py:3819] 2024-09-09 14:46:17,826 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3821] 2024-09-09 14:46:17,827 >>   Num examples = 6946
+[INFO|trainer.py:3824] 2024-09-09 14:46:17,827 >>   Batch size = 8
+{'eval_loss': 0.0076610674150288105, 'eval_precision': 0.924860853432282, 'eval_recall': 0.9291705498602051, 'eval_f1': 0.9270106927010694, 'eval_accuracy': 0.9986534758462869, 'eval_runtime': 15.344, 'eval_samples_per_second': 452.684, 'eval_steps_per_second': 56.634, 'epoch': 9.0}
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+
                                                 
+
+
                                                 [INFO|trainer.py:3503] 2024-09-09 14:46:33,014 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-4480
+[INFO|configuration_utils.py:472] 2024-09-09 14:46:33,016 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-4480/config.json
+[INFO|modeling_utils.py:2799] 2024-09-09 14:46:34,189 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-4480/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 14:46:34,190 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-4480/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 14:46:34,191 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4480/special_tokens_map.json
+[INFO|trainer.py:2394] 2024-09-09 14:46:37,346 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2632] 2024-09-09 14:46:37,346 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-4480 (score: 0.9280074314909428).
+
                                                   
+[INFO|trainer.py:4283] 2024-09-09 14:46:37,506 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.