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update model card README.md

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@@ -12,10 +12,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-timit-demo-colab-1
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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: 0.6895
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- - Wer: 0.4357
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  ## Model description
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@@ -41,18 +41,20 @@ The following hyperparameters were used during training:
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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: 800
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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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- | 5.6622 | 5.26 | 500 | 3.1853 | 1.0 |
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- | 1.46 | 10.53 | 1000 | 0.7476 | 0.5737 |
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- | 0.497 | 15.79 | 1500 | 0.6507 | 0.4953 |
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- | 0.3041 | 21.05 | 2000 | 0.6530 | 0.4546 |
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- | 0.2073 | 26.32 | 2500 | 0.6895 | 0.4357 |
 
 
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  ### Framework versions
 
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  # wav2vec2-base-timit-demo-colab-1
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+ This model is a fine-tuned version of [zasheza/wav2vec2-base-timit-demo-colab-1](https://huggingface.co/zasheza/wav2vec2-base-timit-demo-colab-1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8811
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+ - Wer: 0.4169
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  ## Model description
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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: 800
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+ - num_epochs: 40
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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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+ | 0.161 | 5.26 | 500 | 0.7465 | 0.4496 |
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+ | 0.1852 | 10.53 | 1000 | 0.8108 | 0.4739 |
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+ | 0.1457 | 15.79 | 1500 | 0.9073 | 0.4600 |
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+ | 0.1073 | 21.05 | 2000 | 0.8817 | 0.4486 |
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+ | 0.085 | 26.32 | 2500 | 0.9262 | 0.4442 |
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+ | 0.0753 | 31.58 | 3000 | 0.8838 | 0.4337 |
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+ | 0.0647 | 36.84 | 3500 | 0.8811 | 0.4169 |
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  ### Framework versions