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Solo448
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SpeechT5-fine-tune-en

Text-to-Audio
Transformers
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Safetensors
English
speecht5
English
Generated from Trainer
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End of training

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  1. README.md +9 -10
  2. model.safetensors +1 -1
  3. runs/Oct20_04-40-59_21148bcaaf9a/events.out.tfevents.1729399263.21148bcaaf9a.1189.0 +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: 0.4538
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  ## Model description
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@@ -50,20 +50,19 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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  - num_epochs: 3.0
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- - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 4.6865 | 0.3583 | 100 | 0.5128 |
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- | 4.3164 | 0.7165 | 200 | 0.4913 |
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- | 4.1623 | 1.0748 | 300 | 0.4786 |
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- | 4.036 | 1.4330 | 400 | 0.4677 |
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- | 3.9871 | 1.7913 | 500 | 0.4667 |
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- | 3.9467 | 2.1496 | 600 | 0.4608 |
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- | 3.9027 | 2.5078 | 700 | 0.4552 |
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- | 3.883 | 2.8661 | 800 | 0.4538 |
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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: 0.4500
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 100
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  - num_epochs: 3.0
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.6741 | 0.3583 | 100 | 0.5122 |
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+ | 4.3722 | 0.7165 | 200 | 0.4912 |
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+ | 4.1313 | 1.0748 | 300 | 0.4727 |
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+ | 4.0803 | 1.4330 | 400 | 0.4687 |
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+ | 4.0268 | 1.7913 | 500 | 0.4604 |
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+ | 3.9039 | 2.1496 | 600 | 0.4581 |
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+ | 3.89 | 2.5078 | 700 | 0.4490 |
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+ | 3.9175 | 2.8661 | 800 | 0.4500 |
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  ### Framework versions
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