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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: 2.5919
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- - Accuracy: 0.3810
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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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- | 1.4726 | 1.0 | 10001 | 2.9721 | 0.3051 |
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- | 1.5319 | 2.0 | 20002 | 2.5919 | 0.3810 |
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- | 1.1895 | 3.0 | 30003 | 3.9355 | 0.2664 |
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- | 0.8886 | 4.0 | 40004 | 4.6847 | 0.2515 |
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- | 0.7142 | 5.0 | 50005 | 4.8659 | 0.2604 |
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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: 4.2540
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+ - Accuracy: 0.2664
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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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+ | 2.1967 | 1.0 | 10086 | 2.9662 | 0.2068 |
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+ | 1.865 | 2.0 | 20172 | 2.9499 | 0.3229 |
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+ | 1.5135 | 3.0 | 30258 | 3.3259 | 0.3036 |
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+ | 1.2077 | 4.0 | 40344 | 3.8351 | 0.2902 |
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+ | 1.0278 | 5.0 | 50430 | 4.2540 | 0.2664 |
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  ### Framework versions