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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0004
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- - Accuracy: 0.9999
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  ## Model description
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@@ -48,11 +48,11 @@ 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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- | 0.0158 | 1.0 | 722 | 0.0157 | 0.9968 |
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- | 0.0097 | 2.0 | 1444 | 0.0014 | 0.9996 |
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- | 0.0024 | 3.0 | 2166 | 0.0001 | 1.0 |
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- | 0.0032 | 4.0 | 2888 | 0.0004 | 0.9999 |
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- | 0.0 | 5.0 | 3610 | 0.0004 | 0.9999 |
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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: 0.0017
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+ - Accuracy: 0.9996
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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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+ | 0.1469 | 1.0 | 722 | 0.0330 | 0.9915 |
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+ | 0.0601 | 2.0 | 1444 | 0.0163 | 0.9956 |
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+ | 0.0143 | 3.0 | 2166 | 0.0052 | 0.9990 |
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+ | 0.0123 | 4.0 | 2888 | 0.0024 | 0.9994 |
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+ | 0.003 | 5.0 | 3610 | 0.0017 | 0.9996 |
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  ### Framework versions