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NER Training

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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: 0.4040
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- - F1 Score: 0.9239
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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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- | 0.4848 | 1.0 | 1067 | 0.4349 | 0.8395 |
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- | 0.3086 | 2.0 | 2134 | 0.3476 | 0.8782 |
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- | 0.1573 | 3.0 | 3201 | 0.3280 | 0.9013 |
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- | 0.0951 | 4.0 | 4268 | 0.3240 | 0.9106 |
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- | 0.0359 | 5.0 | 5335 | 0.3610 | 0.9154 |
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- | 0.046 | 6.0 | 6402 | 0.3692 | 0.9171 |
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- | 0.0232 | 7.0 | 7469 | 0.3824 | 0.9199 |
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- | 0.0079 | 8.0 | 8536 | 0.3889 | 0.9223 |
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- | 0.0049 | 9.0 | 9603 | 0.3987 | 0.9236 |
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- | 0.0039 | 10.0 | 10670 | 0.4040 | 0.9239 |
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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: 0.0722
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+ - F1 Score: 0.9054
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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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+ | 0.1037 | 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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