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bert-finetuned-ner-requirements

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Jan08_16-02-44_d83b25de7140/events.out.tfevents.1736352170.d83b25de7140.21.0 +2 -2
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0223
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- - Precision: 0.0514
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- - Recall: 0.3191
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- - F1: 0.0885
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- - Accuracy: 0.7370
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  ## Model description
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@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 10 | 1.3810 | 0.0 | 0.0 | 0.0 | 0.9172 |
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- | No log | 2.0 | 20 | 1.1719 | 0.0140 | 0.0426 | 0.0211 | 0.8646 |
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- | No log | 3.0 | 30 | 1.1099 | 0.0212 | 0.1064 | 0.0353 | 0.7950 |
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- | No log | 4.0 | 40 | 1.1077 | 0.0321 | 0.1915 | 0.0550 | 0.7612 |
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- | No log | 5.0 | 50 | 1.0377 | 0.0394 | 0.2340 | 0.0675 | 0.7527 |
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- | No log | 6.0 | 60 | 1.0696 | 0.05 | 0.3191 | 0.0865 | 0.7352 |
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- | No log | 7.0 | 70 | 1.0275 | 0.0468 | 0.2979 | 0.0809 | 0.7382 |
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- | No log | 8.0 | 80 | 1.0176 | 0.0468 | 0.2979 | 0.0809 | 0.7382 |
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- | No log | 9.0 | 90 | 1.0174 | 0.0514 | 0.3191 | 0.0885 | 0.7376 |
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- | No log | 10.0 | 100 | 1.0223 | 0.0514 | 0.3191 | 0.0885 | 0.7370 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9591
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+ - Precision: 0.1940
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+ - Recall: 0.3939
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+ - F1: 0.26
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+ - Accuracy: 0.7409
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 10 | 1.5986 | 0.0 | 0.0 | 0.0 | 0.7080 |
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+ | No log | 2.0 | 20 | 1.3512 | 0.1375 | 0.1667 | 0.1507 | 0.7336 |
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+ | No log | 3.0 | 30 | 1.1331 | 0.1619 | 0.2576 | 0.1988 | 0.7391 |
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+ | No log | 4.0 | 40 | 1.1114 | 0.1789 | 0.3333 | 0.2328 | 0.7245 |
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+ | No log | 5.0 | 50 | 1.0415 | 0.1803 | 0.3333 | 0.2340 | 0.7318 |
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+ | No log | 6.0 | 60 | 1.0197 | 0.1870 | 0.3485 | 0.2434 | 0.7318 |
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+ | No log | 7.0 | 70 | 0.9768 | 0.192 | 0.3636 | 0.2513 | 0.7427 |
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+ | No log | 8.0 | 80 | 0.9667 | 0.1985 | 0.3939 | 0.2640 | 0.7427 |
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+ | No log | 9.0 | 90 | 0.9678 | 0.1940 | 0.3939 | 0.26 | 0.7427 |
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+ | No log | 10.0 | 100 | 0.9591 | 0.1940 | 0.3939 | 0.26 | 0.7409 |
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  ### Framework versions
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