Training in progress, epoch 10

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:6017fad51f5dc5737798ff6d9fd9fbfbc1d8d5e8c58fda4e121890b2bd69b001
 size 496244100

tb/events.out.tfevents.1725056887.6b97e535edda.51600.0

@@ -1,3 +1,3 @@
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+oid sha256:6b64cb2bd4ea4ebc30acb43ec3597dee9e97889efa2097df4b63784bd9dd34ba
+size 9984

train.log

@@ -774,4 +774,73 @@ 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 22:34:45,932 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-1350/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2574] 2024-08-30 22:34:51,508 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2583] 2024-08-30 22:34:51,508 >> 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 22:35:27,187 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-1500/config.json
+[INFO|modeling_utils.py:2690] 2024-08-30 22:35:28,204 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-1500/model.safetensors
+[INFO|tokenization_utils_base.py:2574] 2024-08-30 22:35:28,205 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-1500/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2583] 2024-08-30 22:35:28,205 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-1500/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2574] 2024-08-30 22:35:30,427 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2583] 2024-08-30 22:35:30,427 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:805] 2024-08-30 22:35:30,484 >> The following columns in the evaluation set don't have a corresponding argument in `RobertaForTokenClassification.forward` and have been ignored: tokens, id, ner_tags. If tokens, id, ner_tags are not expected by `RobertaForTokenClassification.forward`,  you can safely ignore this message.
+[INFO|trainer.py:3788] 2024-08-30 22:35:30,487 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3790] 2024-08-30 22:35:30,487 >>   Num examples = 2519
+[INFO|trainer.py:3793] 2024-08-30 22:35:30,487 >>   Batch size = 8
+{'eval_loss': 0.27473828196525574, 'eval_precision': 0.6675139806812405, 'eval_recall': 0.7186644772851669, 'eval_f1': 0.6921454928835002, 'eval_accuracy': 0.9483461131252205, 'eval_runtime': 5.4389, 'eval_samples_per_second': 463.146, 'eval_steps_per_second': 57.916, 'epoch': 9.0}
+{'loss': 0.0091, 'grad_norm': 0.17641158401966095, 'learning_rate': 0.0, 'epoch': 10.0}
+
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+
+
                                                 [INFO|trainer.py:3478] 2024-08-30 22:35:36,571 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-1500
+[INFO|configuration_utils.py:472] 2024-08-30 22:35:36,573 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-1500/config.json
+[INFO|modeling_utils.py:2690] 2024-08-30 22:35:37,986 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-1500/model.safetensors
+[INFO|tokenization_utils_base.py:2574] 2024-08-30 22:35:37,987 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-1500/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2583] 2024-08-30 22:35:37,987 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-1500/special_tokens_map.json
+[INFO|trainer.py:2383] 2024-08-30 22:35:40,063 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2621] 2024-08-30 22:35:40,063 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-1350 (score: 0.6921454928835002).
+
                                                   
+[INFO|trainer.py:4239] 2024-08-30 22:35:40,264 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.