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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: 1.6396
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- - Accuracy: 0.4191
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  ## Model description
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@@ -42,17 +42,19 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 189 | 1.6919 | 0.4019 |
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- | No log | 2.0 | 378 | 1.6525 | 0.4173 |
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- | 1.718 | 3.0 | 567 | 1.6504 | 0.4153 |
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- | 1.718 | 4.0 | 756 | 1.6403 | 0.4196 |
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- | 1.718 | 5.0 | 945 | 1.6396 | 0.4191 |
 
 
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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: 1.5869
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+ - Accuracy: 0.4489
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 163 | 1.6259 | 0.4358 |
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+ | No log | 2.0 | 326 | 1.5705 | 0.4478 |
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+ | No log | 3.0 | 489 | 1.5566 | 0.4527 |
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+ | 1.6342 | 4.0 | 652 | 1.5656 | 0.4537 |
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+ | 1.6342 | 5.0 | 815 | 1.5721 | 0.4504 |
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+ | 1.6342 | 6.0 | 978 | 1.5825 | 0.4491 |
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+ | 1.3404 | 7.0 | 1141 | 1.5869 | 0.4489 |
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  ### Framework versions