Training in progress, epoch 10

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:ffc3a6f6de330b5400b93eca2b12a0393b684147cf4872d2d4d1726b8db6107d
+oid sha256:fb05d214814c2ef6801e19a47050c4e071f9a6a53f337eecc64972e6bf739330
 size 496262556

tb/events.out.tfevents.1725579443.2a66098fac87.15776.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c6f71a813b5f502e8526ef554797aa844f96cd8902099314d5846bb98d9d679c
-size 11608
+oid sha256:bbe3f5ff4851f3fc3c5cabd01bde5b3d622ecd3b108e014532660173b1a056f1
+size 11819

train.log

@@ -1352,4 +1352,133 @@ You should probably TRAIN this model on a down-stream task to be able to use it
 [INFO|tokenization_utils_base.py:2693] 2024-09-06 00:00:29,221 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4869/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2684] 2024-09-06 00:00:33,504 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2693] 2024-09-06 00:00:33,505 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
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+[INFO|configuration_utils.py:472] 2024-09-06 00:02:49,766 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-5410/config.json
+[INFO|modeling_utils.py:2799] 2024-09-06 00:02:50,798 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-5410/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-06 00:02:50,799 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-5410/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-06 00:02:50,799 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-5410/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2684] 2024-09-06 00:02:52,993 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-06 00:02:52,993 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:811] 2024-09-06 00:02:53,039 >> 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:3819] 2024-09-06 00:02:53,042 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3821] 2024-09-06 00:02:53,043 >>   Num examples = 6810
+[INFO|trainer.py:3824] 2024-09-06 00:02:53,043 >>   Batch size = 8
+{'eval_loss': 1.002764105796814, 'eval_precision': 0.30871042747272404, 'eval_recall': 0.8076743097800655, 'eval_f1': 0.44668737060041414, 'eval_accuracy': 0.850186057368833, 'eval_runtime': 14.2485, 'eval_samples_per_second': 477.944, 'eval_steps_per_second': 59.796, 'epoch': 9.0}
+{'loss': 0.0181, 'grad_norm': 0.6707109212875366, 'learning_rate': 3.789279112754159e-06, 'epoch': 9.24}
+
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+  _warn_prf(average, modifier, msg_start, len(result))
+
                                                   
+
                                                 
+
+
                                                 [INFO|trainer.py:3503] 2024-09-06 00:03:07,505 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-5410
+[INFO|configuration_utils.py:472] 2024-09-06 00:03:07,507 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-5410/config.json
+[INFO|modeling_utils.py:2799] 2024-09-06 00:03:09,034 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-5410/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-06 00:03:09,035 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-5410/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-06 00:03:09,035 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-5410/special_tokens_map.json
+[INFO|trainer.py:2394] 2024-09-06 00:03:12,781 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2632] 2024-09-06 00:03:12,782 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-2705 (score: 0.45455732567249935).
+
                                                   
+[INFO|trainer.py:4283] 2024-09-06 00:03:12,976 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.