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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-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5696
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- - Accuracy: 0.8055
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  ## Model description
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@@ -42,17 +42,22 @@ 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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- | 1.3348 | 1.0 | 187 | 1.0111 | 0.6110 |
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- | 0.7794 | 2.0 | 374 | 0.6462 | 0.7854 |
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- | 0.514 | 3.0 | 561 | 0.5818 | 0.8021 |
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- | 0.3975 | 4.0 | 748 | 0.5639 | 0.8115 |
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- | 0.3272 | 5.0 | 935 | 0.5696 | 0.8055 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5784
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+ - Accuracy: 0.8061
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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: 10
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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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+ | 1.3346 | 1.0 | 187 | 1.0077 | 0.6036 |
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+ | 0.763 | 2.0 | 374 | 0.6359 | 0.7868 |
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+ | 0.4931 | 3.0 | 561 | 0.5821 | 0.8008 |
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+ | 0.3635 | 4.0 | 748 | 0.5784 | 0.8061 |
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+ | 0.2724 | 5.0 | 935 | 0.5829 | 0.8189 |
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+ | 0.2116 | 6.0 | 1122 | 0.5872 | 0.8168 |
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+ | 0.1684 | 7.0 | 1309 | 0.6480 | 0.8148 |
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+ | 0.1336 | 8.0 | 1496 | 0.6630 | 0.8122 |
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+ | 0.112 | 9.0 | 1683 | 0.6836 | 0.8222 |
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+ | 0.0966 | 10.0 | 1870 | 0.6859 | 0.8202 |
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  ### Framework versions