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End of training

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  1. README.md +4 -4
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@@ -18,8 +18,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1920
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- - Accuracy: 0.9330
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  ## Model description
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@@ -50,8 +50,8 @@ 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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- | 0.1143 | 1.0 | 1563 | 0.1994 | 0.9324 |
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- | 0.1254 | 2.0 | 3126 | 0.1920 | 0.9330 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2613
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+ - Accuracy: 0.8914
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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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+ | 0.2883 | 1.0 | 1563 | 0.2718 | 0.8844 |
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+ | 0.2742 | 2.0 | 3126 | 0.2613 | 0.8914 |
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  ### Framework versions