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update model card README.md

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@@ -20,11 +20,11 @@ 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: 0.1911
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- - Accuracy: 0.938
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- - Precision: 0.892
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- - Recall: 0.89
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- - F1: 0.889
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
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- | No log | 1.0 | 89 | 0.3664 | 0.872 | 0.773 | 0.662 | 0.672 |
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- | No log | 2.0 | 178 | 0.2458 | 0.914 | 0.872 | 0.821 | 0.844 |
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- | No log | 3.0 | 267 | 0.1911 | 0.938 | 0.892 | 0.89 | 0.889 |
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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: 0.1899
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+ - Accuracy: 0.944
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+ - Precision: 0.948
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+ - Recall: 0.915
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+ - F1: 0.93
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
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+ | No log | 1.0 | 89 | 0.3850 | 0.878 | 0.868 | 0.806 | 0.828 |
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+ | No log | 2.0 | 178 | 0.2336 | 0.94 | 0.918 | 0.902 | 0.908 |
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+ | No log | 3.0 | 267 | 0.1899 | 0.944 | 0.948 | 0.915 | 0.93 |
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  ### Framework versions