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update model card README.md

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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1103
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- - Accuracy: 0.4979
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- - F1: 0.4723
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 1.3204 | 1.0 | 151 | 1.1861 | 0.4547 | 0.4244 |
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- | 1.1247 | 2.0 | 302 | 1.1103 | 0.4979 | 0.4723 |
 
 
 
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  ### Framework versions
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  - Transformers 4.23.1
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.6.1
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- - Tokenizers 0.11.6
 
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  This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingface.co/bert-base-multilingual-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0946
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+ - Accuracy: 0.5782
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+ - F1: 0.5769
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.1646 | 1.0 | 151 | 1.0626 | 0.5588 | 0.5566 |
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+ | 0.9281 | 2.0 | 302 | 0.9800 | 0.5869 | 0.5792 |
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+ | 0.8269 | 3.0 | 453 | 1.0134 | 0.5911 | 0.5775 |
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+ | 0.7335 | 4.0 | 604 | 1.0644 | 0.5861 | 0.5816 |
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+ | 0.6786 | 5.0 | 755 | 1.0946 | 0.5782 | 0.5769 |
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  ### Framework versions
 
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  - Transformers 4.23.1
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  - Pytorch 1.12.1+cu113
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  - Datasets 2.6.1
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+ - Tokenizers 0.13.1