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update model card README.md

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@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-arabic) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4871
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- - Wer: 0.5572
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0003
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 3.8457 | 6.06 | 400 | 0.4179 | 0.5728 |
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- | 0.2906 | 12.12 | 800 | 0.4657 | 0.5852 |
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- | 0.2018 | 18.18 | 1200 | 0.4544 | 0.5638 |
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- | 0.1433 | 24.24 | 1600 | 0.4871 | 0.5572 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-arabic](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-arabic) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7583
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+ - Wer: 0.8093
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 9.6354 | 6.06 | 400 | 3.0334 | 1.0 |
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+ | 1.6084 | 12.12 | 800 | 0.9223 | 0.8384 |
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+ | 0.3271 | 18.18 | 1200 | 0.8134 | 0.8119 |
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+ | 0.2483 | 24.24 | 1600 | 0.7583 | 0.8093 |
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  ### Framework versions