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bert-base-uncased-finetuned-ner-increased

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Aug30_12-35-34_d62e518a64d2/events.out.tfevents.1725021336.d62e518a64d2.3027.5 +2 -2
  4. runs/Aug30_12-35-34_d62e518a64d2/events.out.tfevents.1725021848.d62e518a64d2.3027.6 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ 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: 0.0086
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- - Precision: 0.9921
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- - Recall: 0.9912
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- - F1: 0.9917
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- - Accuracy: 0.9975
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  ## Model description
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@@ -58,9 +58,9 @@ 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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- | 0.0451 | 0.9995 | 937 | 0.0108 | 0.9893 | 0.9868 | 0.9881 | 0.9965 |
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- | 0.0079 | 2.0 | 1875 | 0.0092 | 0.9913 | 0.9886 | 0.9899 | 0.9970 |
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- | 0.0043 | 2.9984 | 2811 | 0.0094 | 0.9923 | 0.9901 | 0.9912 | 0.9974 |
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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: 0.0064
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+ - Precision: 0.9933
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+ - Recall: 0.9941
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+ - F1: 0.9937
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+ - Accuracy: 0.9981
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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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+ | 0.0102 | 0.9997 | 1562 | 0.0078 | 0.9902 | 0.9925 | 0.9914 | 0.9974 |
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+ | 0.0053 | 2.0 | 3125 | 0.0068 | 0.9940 | 0.9926 | 0.9933 | 0.9980 |
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+ | 0.0032 | 2.9990 | 4686 | 0.0067 | 0.9942 | 0.9935 | 0.9939 | 0.9982 |
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  ### Framework versions
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