Training in progress, epoch 9

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:dee8406b24dd8ea93c5ad47e89c3c3618bb8d35ff5c4692b8e2ba58443735fd0
 size 496262556

tb/events.out.tfevents.1725046129.6b97e535edda.6370.0

@@ -1,3 +1,3 @@
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+oid sha256:6e95865b7fc16c5b5c206f58b587bfc4cf54ab941b4946ad9235d0c58e4547d2
+size 11327

train.log

@@ -1389,4 +1389,141 @@ You should probably TRAIN this model on a down-stream task to be able to use it
 [INFO|tokenization_utils_base.py:2583] 2024-08-30 19:46:46,696 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-3829/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2574] 2024-08-30 19:46:52,859 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2583] 2024-08-30 19:46:52,859 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
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+[INFO|configuration_utils.py:472] 2024-08-30 19:48:32,829 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-4250/config.json
+[INFO|modeling_utils.py:2690] 2024-08-30 19:48:33,864 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-4250/model.safetensors
+[INFO|tokenization_utils_base.py:2574] 2024-08-30 19:48:33,865 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-4250/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2583] 2024-08-30 19:48:33,865 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4250/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2574] 2024-08-30 19:48:35,997 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2583] 2024-08-30 19:48:35,997 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:805] 2024-08-30 19:48:36,049 >> The following columns in the evaluation set don't have a corresponding argument in `RobertaForTokenClassification.forward` and have been ignored: id, ner_tags, tokens. If id, ner_tags, tokens are not expected by `RobertaForTokenClassification.forward`,  you can safely ignore this message.
+[INFO|trainer.py:3788] 2024-08-30 19:48:36,052 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3790] 2024-08-30 19:48:36,052 >>   Num examples = 6810
+[INFO|trainer.py:3793] 2024-08-30 19:48:36,052 >>   Batch size = 8
+{'eval_loss': 0.9241161346435547, 'eval_precision': 0.30851345390383766, 'eval_recall': 0.8182030884417407, 'eval_f1': 0.44807482862451153, 'eval_accuracy': 0.8493827838576352, 'eval_runtime': 14.662, 'eval_samples_per_second': 464.465, 'eval_steps_per_second': 58.109, 'epoch': 9.0}
+{'loss': 0.0292, 'grad_norm': 0.6075822710990906, 'learning_rate': 2.9411764705882355e-06, 'epoch': 9.4}
+
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+  _warn_prf(average, modifier, msg_start, len(result))
+
                                                   
+
                                                 
+
+
                                                 [INFO|trainer.py:3478] 2024-08-30 19:48:51,528 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-4250
+[INFO|configuration_utils.py:472] 2024-08-30 19:48:51,530 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-4250/config.json
+[INFO|modeling_utils.py:2690] 2024-08-30 19:48:52,902 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-4250/model.safetensors
+[INFO|tokenization_utils_base.py:2574] 2024-08-30 19:48:52,905 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-4250/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2583] 2024-08-30 19:48:52,905 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4250/special_tokens_map.json
+[INFO|trainer.py:2383] 2024-08-30 19:48:54,756 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2621] 2024-08-30 19:48:54,756 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-2127 (score: 0.4624414693662204).
+
                                                   
+[INFO|trainer.py:4239] 2024-08-30 19:48:54,956 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.