Training in progress, epoch 10

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:930cdd9f6291711dcb334098788802aeee4b3c6d1a8d98d1889a344d7444d764
 size 430601004

tb/events.out.tfevents.1725526555.6cb9bed92fd1.4510.0

@@ -1,3 +1,3 @@
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+oid sha256:884cbb8be15cd6d233094b68f0e245ec6164497d625655076ec354a404f9f9dd
+size 11479

train.log

@@ -1155,4 +1155,124 @@ You should probably TRAIN this model on a down-stream task to be able to use it
 [INFO|tokenization_utils_base.py:2693] 2024-09-05 09:14:36,017 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4536/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2684] 2024-09-05 09:14:37,973 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2693] 2024-09-05 09:14:37,974 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
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+[INFO|configuration_utils.py:472] 2024-09-05 09:16:25,807 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-5040/config.json
+[INFO|modeling_utils.py:2799] 2024-09-05 09:16:26,642 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-5040/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-05 09:16:26,643 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-5040/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-05 09:16:26,644 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-5040/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2684] 2024-09-05 09:16:28,582 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-05 09:16:28,582 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:811] 2024-09-05 09:16:28,596 >> The following columns in the evaluation set don't have a corresponding argument in `BertForTokenClassification.forward` and have been ignored: tokens, id, ner_tags. If tokens, id, ner_tags are not expected by `BertForTokenClassification.forward`,  you can safely ignore this message.
+[INFO|trainer.py:3819] 2024-09-05 09:16:28,599 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3821] 2024-09-05 09:16:28,599 >>   Num examples = 6946
+[INFO|trainer.py:3824] 2024-09-05 09:16:28,599 >>   Batch size = 8
+{'eval_loss': 0.008021777495741844, 'eval_precision': 0.918572735590119, 'eval_recall': 0.9356943150046598, 'eval_f1': 0.9270544783010157, 'eval_accuracy': 0.9987023135098931, 'eval_runtime': 13.487, 'eval_samples_per_second': 515.014, 'eval_steps_per_second': 64.432, 'epoch': 9.0}
+{'loss': 0.0002, 'grad_norm': 0.0005077613168396056, 'learning_rate': 3.9682539682539683e-07, 'epoch': 9.92}
+
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+
+
                                                 [INFO|trainer.py:3503] 2024-09-05 09:16:42,330 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-5040
+[INFO|configuration_utils.py:472] 2024-09-05 09:16:42,332 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-5040/config.json
+[INFO|modeling_utils.py:2799] 2024-09-05 09:16:43,608 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-5040/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-05 09:16:43,610 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-5040/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-05 09:16:43,610 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-5040/special_tokens_map.json
+[INFO|trainer.py:2394] 2024-09-05 09:16:45,046 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2632] 2024-09-05 09:16:45,046 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-2016 (score: 0.930276087973795).
+
                                                   
+[INFO|trainer.py:4283] 2024-09-05 09:16:45,216 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.