nonoJDWAOIDAWKDA
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End of training
Browse files- README.md +1 -19
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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# speecht5_finetuned_nono
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5475
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- training_steps:
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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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| 0.5131 | 29.6296 | 100 | 0.5124 |
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| 0.4586 | 59.2593 | 200 | 0.5242 |
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| 0.4348 | 88.8889 | 300 | 0.5369 |
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| 0.4093 | 118.5185 | 400 | 0.5420 |
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| 0.3839 | 148.1481 | 500 | 0.5394 |
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| 0.3788 | 177.7778 | 600 | 0.5430 |
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| 0.3686 | 207.4074 | 700 | 0.5504 |
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| 0.3606 | 237.0370 | 800 | 0.5518 |
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| 0.3555 | 266.6667 | 900 | 0.5524 |
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| 0.3538 | 296.2963 | 1000 | 0.5475 |
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### Framework versions
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- Transformers 4.46.3
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# speecht5_finetuned_nono
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on an unknown dataset.
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 100
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- training_steps: 1750
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.46.3
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model.safetensors
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training_args.bin
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