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update model card README.md

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@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # speecht5_finetuned_voxpopuli_nl
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- This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the common_voice_13_0, urdu dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4856
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  ## Model description
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@@ -44,16 +44,15 @@ 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: 500
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- - training_steps: 4000
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.559 | 8.61 | 1000 | 0.5048 |
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- | 0.5196 | 17.22 | 2000 | 0.4883 |
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- | 0.508 | 25.83 | 3000 | 0.4859 |
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- | 0.5042 | 34.45 | 4000 | 0.4856 |
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  ### Framework versions
 
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  # speecht5_finetuned_voxpopuli_nl
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+ This model is a fine-tuned version of [arham061/speecht5_finetuned_voxpopuli_nl](https://huggingface.co/arham061/speecht5_finetuned_voxpopuli_nl) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5508
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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: 500
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+ - training_steps: 3000
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5058 | 7.74 | 1000 | 0.5431 |
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+ | 0.4938 | 15.49 | 2000 | 0.5487 |
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+ | 0.4909 | 23.23 | 3000 | 0.5508 |
 
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  ### Framework versions