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JBZhang2342
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speecht5_tts

Text-to-Audio
Transformers
TensorBoard
Safetensors
English
speecht5
en_accent,mozilla,t5,common_voice_1_0
Generated from Trainer
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  1. README.md +9 -12
  2. model.safetensors +1 -1
  3. runs/Nov11_19-21-53_yifanhua-threadripper/events.out.tfevents.1699748513.yifanhua-threadripper +2 -2
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,vocpopuli,t5
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  - generated_from_trainer
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  datasets:
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- - facebook/voxpopuli
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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 VoxPopuli dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6093
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  ## Model description
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@@ -55,10 +52,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.4491 | 400.0 | 1000 | 0.5718 |
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- | 0.4173 | 800.0 | 2000 | 0.5987 |
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- | 0.386 | 1200.0 | 3000 | 0.6119 |
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- | 0.3876 | 1600.0 | 4000 | 0.6093 |
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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_1_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_1_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6988
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.4211 | 222.22 | 1000 | 0.6265 |
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+ | 0.4094 | 444.44 | 2000 | 0.6595 |
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+ | 0.3729 | 666.67 | 3000 | 0.7037 |
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+ | 0.365 | 888.89 | 4000 | 0.6988 |
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  ### Framework versions
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