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update model card README.md

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@@ -16,8 +16,8 @@ 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: 1.3533
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- - Accuracy: 0.7321
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  ## Model description
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@@ -48,26 +48,26 @@ 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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- | No log | 1.0 | 17 | 0.5774 | 0.7321 |
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- | No log | 2.0 | 34 | 0.5660 | 0.7321 |
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- | No log | 3.0 | 51 | 0.5903 | 0.7321 |
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- | No log | 4.0 | 68 | 0.5558 | 0.7321 |
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- | No log | 5.0 | 85 | 0.5904 | 0.7411 |
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- | No log | 6.0 | 102 | 0.6088 | 0.7321 |
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- | No log | 7.0 | 119 | 0.7359 | 0.7589 |
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- | No log | 8.0 | 136 | 0.9027 | 0.7589 |
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- | No log | 9.0 | 153 | 1.0194 | 0.7411 |
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- | No log | 10.0 | 170 | 1.1241 | 0.7589 |
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- | No log | 11.0 | 187 | 1.1849 | 0.7411 |
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- | No log | 12.0 | 204 | 1.2305 | 0.7411 |
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- | No log | 13.0 | 221 | 1.2551 | 0.75 |
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- | No log | 14.0 | 238 | 1.2859 | 0.7411 |
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- | No log | 15.0 | 255 | 1.3070 | 0.7411 |
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- | No log | 16.0 | 272 | 1.3238 | 0.7411 |
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- | No log | 17.0 | 289 | 1.3357 | 0.7411 |
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- | No log | 18.0 | 306 | 1.3449 | 0.7411 |
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- | No log | 19.0 | 323 | 1.3513 | 0.7321 |
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- | No log | 20.0 | 340 | 1.3533 | 0.7321 |
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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: 0.6082
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+ - Accuracy: 0.8661
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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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+ | No log | 1.0 | 17 | 0.6040 | 0.8125 |
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+ | No log | 2.0 | 34 | 0.4455 | 0.8482 |
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+ | No log | 3.0 | 51 | 0.3701 | 0.875 |
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+ | No log | 4.0 | 68 | 0.4277 | 0.8304 |
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+ | No log | 5.0 | 85 | 0.4477 | 0.8393 |
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+ | No log | 6.0 | 102 | 0.3747 | 0.8929 |
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+ | No log | 7.0 | 119 | 0.4383 | 0.9018 |
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+ | No log | 8.0 | 136 | 0.5102 | 0.875 |
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+ | No log | 9.0 | 153 | 0.5384 | 0.8661 |
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+ | No log | 10.0 | 170 | 0.6888 | 0.8571 |
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+ | No log | 11.0 | 187 | 0.5788 | 0.8661 |
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+ | No log | 12.0 | 204 | 0.5933 | 0.8571 |
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+ | No log | 13.0 | 221 | 0.6214 | 0.8661 |
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+ | No log | 14.0 | 238 | 0.6246 | 0.8661 |
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+ | No log | 15.0 | 255 | 0.6033 | 0.8661 |
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+ | No log | 16.0 | 272 | 0.6066 | 0.8661 |
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+ | No log | 17.0 | 289 | 0.6092 | 0.8661 |
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+ | No log | 18.0 | 306 | 0.6079 | 0.8661 |
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+ | No log | 19.0 | 323 | 0.6080 | 0.8661 |
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+ | No log | 20.0 | 340 | 0.6082 | 0.8661 |
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  ### Framework versions