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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-base-uncased](https://huggingface.co/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: 0.5870
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- - Accuracy: 0.8077
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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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.3895 | 1.0 | 44 | 0.9471 | 0.8205 |
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- | 0.7621 | 2.0 | 88 | 0.7329 | 0.8077 |
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- | 0.6022 | 3.0 | 132 | 0.6495 | 0.8077 |
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- | 0.5161 | 4.0 | 176 | 0.6098 | 0.8077 |
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- | 0.4606 | 5.0 | 220 | 0.5870 | 0.8077 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.6531
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+ - Accuracy: 0.8205
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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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+ | 1.3785 | 1.0 | 44 | 0.9232 | 0.7949 |
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+ | 0.7587 | 2.0 | 88 | 0.7502 | 0.8077 |
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+ | 0.6042 | 3.0 | 132 | 0.6988 | 0.8077 |
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+ | 0.5179 | 4.0 | 176 | 0.6622 | 0.8077 |
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+ | 0.4601 | 5.0 | 220 | 0.6531 | 0.8205 |
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  ### Framework versions
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