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update model card README.md

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@@ -11,10 +11,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # training_45k
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- This model is a fine-tuned version of [Sameen53/training_45k](https://huggingface.co/Sameen53/training_45k) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: nan
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- - Wer: 1.0
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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: 0.0001
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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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- | 0.4401 | 1.26 | 1500 | inf | 0.4018 |
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- | 2.0681 | 2.51 | 3000 | nan | 1.0 |
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- | 0.0 | 3.77 | 4500 | nan | 1.0 |
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- | 0.0 | 5.02 | 6000 | nan | 1.0 |
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- | 0.0 | 6.28 | 7500 | nan | 1.0 |
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  ### Framework versions
 
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  # training_45k
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+ This model is a fine-tuned version of [Sameen53/cv_bn_bestModel_1](https://huggingface.co/Sameen53/cv_bn_bestModel_1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: inf
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+ - Wer: 0.1499
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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: 5e-07
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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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+ | 0.2552 | 1.26 | 1500 | inf | 0.1497 |
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+ | 0.2482 | 2.51 | 3000 | inf | 0.1500 |
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+ | 0.2497 | 3.77 | 4500 | inf | 0.1498 |
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+ | 0.2474 | 5.02 | 6000 | inf | 0.1499 |
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+ | 0.2493 | 6.28 | 7500 | inf | 0.1499 |
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  ### Framework versions