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update model card README.md

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@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0364
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- - Wer: 0.6448
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  ## Model description
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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: 32
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  - eval_batch_size: 8
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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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  - lr_scheduler_warmup_steps: 1000
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- - num_epochs: 30
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 6.3713 | 15.62 | 500 | 1.0364 | 0.6448 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 151.2085
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+ - Wer: 0.4699
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  ## Model description
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 35
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2598.842 | 7.46 | 500 | 241.7446 | 0.6716 |
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+ | 421.6865 | 14.93 | 1000 | 157.1855 | 0.5365 |
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+ | 251.789 | 22.39 | 1500 | 153.7565 | 0.5045 |
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+ | 160.1666 | 29.85 | 2000 | 151.2085 | 0.4699 |
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  ### Framework versions