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Solo448
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SpeechT5-fine-tune-en

Text-to-Audio
Transformers
TensorBoard
Safetensors
English
speecht5
English
Generated from Trainer
Model card Files
xet
Metrics Community
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End of training

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  1. README.md +17 -9
  2. model.safetensors +1 -1
  3. runs/Oct23_07-51-39_8bd0f01ea11c/events.out.tfevents.1729669902.8bd0f01ea11c.740.0 +2 -2
README.md CHANGED
@@ -21,7 +21,7 @@ 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 TTS_English_Technical_data dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4504
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  ## Model description
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@@ -56,14 +56,22 @@ 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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- | 4.6649 | 0.3583 | 100 | 0.5102 |
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- | 4.3456 | 0.7165 | 200 | 0.4964 |
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- | 4.1951 | 1.0748 | 300 | 0.4765 |
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- | 4.0516 | 1.4330 | 400 | 0.4654 |
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- | 3.9985 | 1.7913 | 500 | 0.4587 |
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- | 3.9263 | 2.1496 | 600 | 0.4546 |
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- | 3.91 | 2.5078 | 700 | 0.4505 |
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- | 3.8458 | 2.8661 | 800 | 0.4504 |
 
 
 
 
 
 
 
 
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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 TTS_English_Technical_data dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4479
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 5.7875 | 0.1791 | 50 | 0.6062 |
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+ | 4.5876 | 0.3583 | 100 | 0.5088 |
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+ | 4.4072 | 0.5374 | 150 | 0.4908 |
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+ | 4.3177 | 0.7165 | 200 | 0.4883 |
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+ | 4.1852 | 0.8957 | 250 | 0.4808 |
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+ | 4.1009 | 1.0748 | 300 | 0.4691 |
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+ | 4.0833 | 1.2539 | 350 | 0.4677 |
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+ | 4.0461 | 1.4330 | 400 | 0.4643 |
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+ | 4.0024 | 1.6122 | 450 | 0.4587 |
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+ | 3.9729 | 1.7913 | 500 | 0.4593 |
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+ | 3.9057 | 1.9704 | 550 | 0.4555 |
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+ | 3.8765 | 2.1496 | 600 | 0.4567 |
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+ | 3.9148 | 2.3287 | 650 | 0.4541 |
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+ | 3.8446 | 2.5078 | 700 | 0.4503 |
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+ | 3.8321 | 2.6870 | 750 | 0.4511 |
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+ | 3.8683 | 2.8661 | 800 | 0.4479 |
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  ### Framework versions
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