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End of training

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README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0031
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- - F1-score: 1.0
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  ## Model description
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@@ -49,11 +49,11 @@ 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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- | 0.1462 | 1.0 | 15 | 0.5126 | 0.7931 |
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- | 0.0217 | 2.0 | 30 | 0.1567 | 0.9649 |
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- | 0.0041 | 3.0 | 45 | 0.0071 | 1.0 |
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- | 0.003 | 4.0 | 60 | 0.0037 | 1.0 |
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- | 0.0021 | 5.0 | 75 | 0.0031 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2547
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+ - F1-score: 0.9333
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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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+ | 0.1575 | 0.97 | 15 | 0.5607 | 0.7342 |
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+ | 0.0562 | 2.0 | 31 | 0.2547 | 0.9333 |
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+ | 0.0218 | 2.97 | 46 | 0.2860 | 0.9033 |
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+ | 0.0032 | 4.0 | 62 | 0.3508 | 0.9033 |
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+ | 0.0024 | 4.84 | 75 | 0.3686 | 0.9033 |
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  ### Framework versions
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