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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: 0.3453
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- - Accuracy: 0.9
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  ## Model description
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@@ -48,21 +48,21 @@ 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 | 10 | 0.6095 | 0.85 |
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- | No log | 2.0 | 20 | 0.4562 | 0.825 |
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- | No log | 3.0 | 30 | 0.3424 | 0.875 |
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- | No log | 4.0 | 40 | 0.3830 | 0.875 |
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- | No log | 5.0 | 50 | 0.3277 | 0.875 |
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- | No log | 6.0 | 60 | 0.3189 | 0.875 |
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- | No log | 7.0 | 70 | 0.4033 | 0.875 |
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- | No log | 8.0 | 80 | 0.3355 | 0.9 |
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- | No log | 9.0 | 90 | 0.3572 | 0.875 |
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- | No log | 10.0 | 100 | 0.3453 | 0.9 |
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  ### Framework versions
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- - Transformers 4.29.1
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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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: 0.1509
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+ - Accuracy: 0.95
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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 | 10 | 0.5844 | 0.95 |
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+ | No log | 2.0 | 20 | 0.3603 | 0.95 |
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+ | No log | 3.0 | 30 | 0.2268 | 0.95 |
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+ | No log | 4.0 | 40 | 0.2013 | 0.925 |
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+ | No log | 5.0 | 50 | 0.1658 | 0.95 |
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+ | No log | 6.0 | 60 | 0.1828 | 0.95 |
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+ | No log | 7.0 | 70 | 0.1428 | 0.95 |
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+ | No log | 8.0 | 80 | 0.1444 | 0.95 |
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+ | No log | 9.0 | 90 | 0.1471 | 0.95 |
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+ | No log | 10.0 | 100 | 0.1509 | 0.95 |
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  ### Framework versions
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+ - Transformers 4.29.2
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  - Pytorch 2.0.0+cu118
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  - Datasets 2.12.0
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  - Tokenizers 0.13.3