Training in progress, epoch 10

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2cd4adbdf1271f2a1c4a482089d1bd932900fb6be36de92145b11f9266323133
+oid sha256:876f723be6ca469f211c557a65fa6be11b0b60eed47f4bdae5973bb6330c146c
 size 496244100

train.log

@@ -807,4 +807,73 @@ 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 12:28:17,939 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-1539/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2684] 2024-09-09 12:28:22,554 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2693] 2024-09-09 12:28:22,555 >> 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 12:29:41,233 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-1710/config.json
+[INFO|modeling_utils.py:2799] 2024-09-09 12:29:42,287 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-1710/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 12:29:42,288 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-1710/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 12:29:42,289 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-1710/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 12:29:47,798 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 12:29:47,799 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:811] 2024-09-09 12:29:47,847 >> 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.
+[INFO|trainer.py:3819] 2024-09-09 12:29:47,850 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3821] 2024-09-09 12:29:47,850 >>   Num examples = 2519
+[INFO|trainer.py:3824] 2024-09-09 12:29:47,850 >>   Batch size = 8
+{'eval_loss': 0.2917279005050659, 'eval_precision': 0.6458022851465475, 'eval_recall': 0.7115489874110563, 'eval_f1': 0.6770833333333333, 'eval_accuracy': 0.9466938304084186, 'eval_runtime': 5.9353, 'eval_samples_per_second': 424.408, 'eval_steps_per_second': 53.072, 'epoch': 9.0}
+
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+
                                                   
+
                                                 
+
+
                                                 [INFO|trainer.py:3503] 2024-09-09 12:29:53,786 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-1710
+[INFO|configuration_utils.py:472] 2024-09-09 12:29:53,788 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-1710/config.json
+[INFO|modeling_utils.py:2799] 2024-09-09 12:29:55,303 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-1710/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 12:29:55,306 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-1710/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 12:29:55,306 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-1710/special_tokens_map.json
+[INFO|trainer.py:2394] 2024-09-09 12:29:57,247 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2632] 2024-09-09 12:29:57,247 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-1368 (score: 0.680984808800419).
+
                                                   
+[INFO|trainer.py:4283] 2024-09-09 12:29:57,436 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.