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update model card README.md

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9568
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  - Wer: 1.0
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  ## Model description
@@ -36,30 +36,25 @@ More information needed
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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: 8
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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_ratio: 0.1
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- - num_epochs: 10
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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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- | 6.3983 | 1.0 | 38 | 2.6746 | 1.0 |
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- | 1.0201 | 2.0 | 76 | 1.0183 | 1.0 |
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- | 0.98 | 3.0 | 114 | 1.2402 | 1.0 |
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- | 0.9409 | 4.0 | 152 | 0.9863 | 1.0 |
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- | 1.0142 | 5.0 | 190 | 0.9881 | 1.0 |
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- | 0.9615 | 6.0 | 228 | 0.9643 | 1.0 |
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- | 0.9693 | 7.0 | 266 | 0.9562 | 1.0 |
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- | 0.943 | 8.0 | 304 | 1.0394 | 1.0 |
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- | 0.9586 | 9.0 | 342 | 0.9711 | 1.0 |
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- | 0.9166 | 10.0 | 380 | 0.9568 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0301
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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: 8
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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_ratio: 0.1
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+ - num_epochs: 5
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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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+ | 2.8297 | 1.0 | 54 | 2.3505 | 1.0 |
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+ | 1.1947 | 2.0 | 108 | 1.1780 | 1.0 |
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+ | 0.9963 | 3.0 | 162 | 1.1032 | 1.0 |
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+ | 0.9692 | 4.0 | 216 | 1.0481 | 1.0 |
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+ | 1.0141 | 5.0 | 270 | 1.0301 | 1.0 |
 
 
 
 
 
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  ### Framework versions