Training in progress, epoch 10

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:5e48e5070a2e48a4126a57b8ab250a702091d9f63b94e626651db619192f99cd
 size 430601004

tb/events.out.tfevents.1725886210.0a1c9bec2a53.24273.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 11268
+oid sha256:8d6956b7438a04ebcdd54d7b8e8dbc8d1d73ef4c8218c0dbd353b0ce76c8773f
+size 11479

train.log

@@ -1283,4 +1283,136 @@ 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 13:22:56,413 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-4563/special_tokens_map.json
 [INFO|tokenization_utils_base.py:2684] 2024-09-09 13:23:02,986 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
 [INFO|tokenization_utils_base.py:2693] 2024-09-09 13:23:02,986 >> 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 13:26:20,096 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-5070/config.json
+[INFO|modeling_utils.py:2799] 2024-09-09 13:26:21,004 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-5070/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 13:26:21,005 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-5070/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 13:26:21,005 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-5070/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 13:26:28,038 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 13:26:28,038 >> Special tokens file saved in /content/dissertation/scripts/ner/output/special_tokens_map.json
+[INFO|trainer.py:811] 2024-09-09 13:26:28,052 >> The following columns in the evaluation set don't have a corresponding argument in `BertForTokenClassification.forward` and have been ignored: id, tokens, ner_tags. If id, tokens, ner_tags are not expected by `BertForTokenClassification.forward`,  you can safely ignore this message.
+[INFO|trainer.py:3819] 2024-09-09 13:26:28,055 >> 
+***** Running Evaluation *****
+[INFO|trainer.py:3821] 2024-09-09 13:26:28,055 >>   Num examples = 6946
+[INFO|trainer.py:3824] 2024-09-09 13:26:28,055 >>   Batch size = 8
+{'eval_loss': 0.00773056922480464, 'eval_precision': 0.9161349134001823, 'eval_recall': 0.9366262814538676, 'eval_f1': 0.9262672811059908, 'eval_accuracy': 0.9987162671280663, 'eval_runtime': 15.3347, 'eval_samples_per_second': 452.96, 'eval_steps_per_second': 56.669, 'epoch': 9.0}
+{'loss': 0.0002, 'grad_norm': 0.001042825635522604, 'learning_rate': 6.903353057199211e-07, 'epoch': 9.86}
+
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+
+
                                                 [INFO|trainer.py:3503] 2024-09-09 13:26:43,265 >> Saving model checkpoint to /content/dissertation/scripts/ner/output/checkpoint-5070
+[INFO|configuration_utils.py:472] 2024-09-09 13:26:43,267 >> Configuration saved in /content/dissertation/scripts/ner/output/checkpoint-5070/config.json
+[INFO|modeling_utils.py:2799] 2024-09-09 13:26:44,587 >> Model weights saved in /content/dissertation/scripts/ner/output/checkpoint-5070/model.safetensors
+[INFO|tokenization_utils_base.py:2684] 2024-09-09 13:26:44,588 >> tokenizer config file saved in /content/dissertation/scripts/ner/output/checkpoint-5070/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2693] 2024-09-09 13:26:44,588 >> Special tokens file saved in /content/dissertation/scripts/ner/output/checkpoint-5070/special_tokens_map.json
+[INFO|trainer.py:2394] 2024-09-09 13:26:47,099 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|trainer.py:2632] 2024-09-09 13:26:47,099 >> Loading best model from /content/dissertation/scripts/ner/output/checkpoint-4056 (score: 0.9335180055401663).
+
                                                   
+[INFO|trainer.py:4283] 2024-09-09 13:26:47,281 >> Waiting for the current checkpoint push to be finished, this might take a couple of minutes.