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update model card README.md

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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-gn-demo
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- This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8411
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- - Wer: 0.8186
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  ## Model description
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@@ -43,15 +43,17 @@ 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: 300
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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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- | 4.8051 | 13.16 | 500 | 1.0822 | 0.9314 |
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- | 0.3485 | 26.32 | 1000 | 0.8411 | 0.8186 |
 
 
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  ### Framework versions
 
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  # wav2vec2-base-gn-demo
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+ This model is a fine-tuned version of [azuur/wav2vec2-base-gn-demo](https://huggingface.co/azuur/wav2vec2-base-gn-demo) on the common_voice dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1139
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+ - Wer: 0.7835
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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: 300
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+ - num_epochs: 55
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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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+ | 0.1803 | 13.16 | 500 | 1.2114 | 0.8415 |
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+ | 0.1343 | 26.32 | 1000 | 1.1728 | 0.8155 |
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+ | 0.0986 | 39.47 | 1500 | 1.1220 | 0.8293 |
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+ | 0.0581 | 52.63 | 2000 | 1.1139 | 0.7835 |
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  ### Framework versions