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README.md CHANGED
@@ -1,26 +1,23 @@
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  ---
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- language:
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- - en
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  license: mit
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  base_model: microsoft/speecht5_tts
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  tags:
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- - en_accent,mozilla,t5,common_voice_1_0
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  - generated_from_trainer
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  datasets:
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- - mozilla-foundation/common_voice_1_0
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  model-index:
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- - name: SpeechT5 TTS English Accented
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # SpeechT5 TTS English Accented
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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 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4813
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  ## Model description
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@@ -39,7 +36,7 @@ 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: 2e-05
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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- | 0.5466 | 1.25 | 1000 | 0.5218 |
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- | 0.5436 | 2.5 | 2000 | 0.5038 |
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- | 0.5235 | 3.75 | 3000 | 0.4951 |
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- | 0.5255 | 5.0 | 4000 | 0.4888 |
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- | 0.4962 | 6.25 | 5000 | 0.4869 |
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- | 0.5068 | 7.5 | 6000 | 0.4839 |
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- | 0.4861 | 8.75 | 7000 | 0.4820 |
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- | 0.5265 | 10.0 | 8000 | 0.4826 |
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- | 0.4934 | 11.25 | 9000 | 0.4838 |
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- | 0.5128 | 12.5 | 10000 | 0.4813 |
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  ### Framework versions
 
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  ---
 
 
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  license: mit
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  base_model: microsoft/speecht5_tts
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  tags:
 
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  - generated_from_trainer
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  datasets:
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+ - common_voice_13_0
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  model-index:
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+ - name: speecht5_tts
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # speecht5_tts
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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 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4825
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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: 1e-05
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  - train_batch_size: 10
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  - eval_batch_size: 10
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.6559 | 1.0 | 1000 | 0.5323 |
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+ | 0.6126 | 2.0 | 2000 | 0.5088 |
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+ | 0.4919 | 3.0 | 3000 | 0.4990 |
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+ | 0.5709 | 4.0 | 4000 | 0.4955 |
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+ | 0.5827 | 5.0 | 5000 | 0.4907 |
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+ | 0.5065 | 6.0 | 6000 | 0.4876 |
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+ | 0.5181 | 7.0 | 7000 | 0.4862 |
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+ | 0.5232 | 8.0 | 8000 | 0.4849 |
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+ | 0.5159 | 9.0 | 9000 | 0.4835 |
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+ | 0.5194 | 10.0 | 10000 | 0.4825 |
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  ### Framework versions
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