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update model card README.md

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@@ -19,7 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Commonvoice dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5622
 
 
 
 
 
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  ## Model description
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@@ -39,25 +44,15 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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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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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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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: 500
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- - training_steps: 4000
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6424 | 1.01 | 1000 | 0.6046 |
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- | 0.6062 | 2.02 | 2000 | 0.5776 |
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- | 0.5835 | 3.03 | 3000 | 0.5676 |
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- | 0.5826 | 4.04 | 4000 | 0.5622 |
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-
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  ### Framework versions
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  This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Commonvoice dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.5261
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+ - eval_runtime: 45.091
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+ - eval_samples_per_second: 22.177
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+ - eval_steps_per_second: 1.397
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+ - epoch: 8.02
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+ - step: 4000
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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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: 500
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+ - training_steps: 8000
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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