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NER Training

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  1. README.md +12 -12
  2. runs/Jan03_10-12-44_2508c7b74aec/events.out.tfevents.1735899202.2508c7b74aec.359.0 +2 -2
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0722
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- - F1 Score: 0.9054
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  ## Model description
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@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.1037 | 1.0 | 1067 | 0.0940 | 0.8092 |
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- | 0.0685 | 2.0 | 2134 | 0.0700 | 0.8535 |
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- | 0.0462 | 3.0 | 3201 | 0.0648 | 0.8717 |
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- | 0.0259 | 4.0 | 4268 | 0.0642 | 0.8865 |
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- | 0.0164 | 5.0 | 5335 | 0.0651 | 0.8914 |
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- | 0.0137 | 6.0 | 6402 | 0.0677 | 0.8917 |
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- | 0.0084 | 7.0 | 7469 | 0.0694 | 0.8998 |
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- | 0.0047 | 8.0 | 8536 | 0.0710 | 0.9022 |
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- | 0.0044 | 9.0 | 9603 | 0.0704 | 0.9040 |
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- | 0.0031 | 10.0 | 10670 | 0.0722 | 0.9054 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dslim/distilbert-NER](https://huggingface.co/dslim/distilbert-NER) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0719
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+ - F1 Score: 0.9047
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.1154 | 1.0 | 1067 | 0.1067 | 0.7847 |
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+ | 0.0729 | 2.0 | 2134 | 0.0769 | 0.8450 |
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+ | 0.05 | 3.0 | 3201 | 0.0671 | 0.8711 |
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+ | 0.0324 | 4.0 | 4268 | 0.0674 | 0.8839 |
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+ | 0.0199 | 5.0 | 5335 | 0.0658 | 0.8942 |
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+ | 0.0192 | 6.0 | 6402 | 0.0678 | 0.8936 |
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+ | 0.0109 | 7.0 | 7469 | 0.0672 | 0.9012 |
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+ | 0.0074 | 8.0 | 8536 | 0.0720 | 0.9008 |
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+ | 0.0054 | 9.0 | 9603 | 0.0720 | 0.9041 |
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+ | 0.0051 | 10.0 | 10670 | 0.0719 | 0.9047 |
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  ### Framework versions
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