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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1649
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- - Accuracy: 0.9347
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  ## Model description
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@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.2215 | 1.0 | 1050 | 0.1727 | 0.9260 |
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- | 0.1358 | 2.0 | 2100 | 0.1649 | 0.9347 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1808
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+ - Accuracy: 0.9342
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.223 | 1.0 | 1219 | 0.1757 | 0.9265 |
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+ | 0.1406 | 2.0 | 2438 | 0.1808 | 0.9342 |
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  ### Framework versions
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