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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 [eric-mc2/distilbert-foundation-category-c6](https://huggingface.co/eric-mc2/distilbert-foundation-category-c6) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3864
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- - Accuracy: 0.915
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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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- | 0.231 | 1.0 | 113 | 0.2673 | 0.915 |
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- | 0.132 | 2.0 | 226 | 0.3310 | 0.91 |
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- | 0.0894 | 3.0 | 339 | 0.3734 | 0.915 |
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- | 0.0697 | 4.0 | 452 | 0.3840 | 0.915 |
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- | 0.0559 | 5.0 | 565 | 0.3864 | 0.915 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [eric-mc2/distilbert-foundation-category-c6](https://huggingface.co/eric-mc2/distilbert-foundation-category-c6) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1598
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+ - Accuracy: 0.955
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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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+ | 0.2225 | 1.0 | 225 | 0.1531 | 0.9575 |
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+ | 0.1476 | 2.0 | 450 | 0.1731 | 0.9575 |
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+ | 0.1025 | 3.0 | 675 | 0.1502 | 0.955 |
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+ | 0.0796 | 4.0 | 900 | 0.1465 | 0.955 |
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+ | 0.0627 | 5.0 | 1125 | 0.1598 | 0.955 |
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  ### Framework versions
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