End of training
Browse files- README.md +9 -2
- model.safetensors +1 -1
- runs/Feb15_19-07-33_ikanatsu-desktop/events.out.tfevents.1708020453.ikanatsu-desktop.3572.0 +3 -0
- runs/Feb15_19-12-18_ikanatsu-desktop/events.out.tfevents.1708020739.ikanatsu-desktop.3572.1 +3 -0
- runs/Feb15_19-12-44_ikanatsu-desktop/events.out.tfevents.1708020767.ikanatsu-desktop.3572.2 +3 -0
- runs/Feb15_19-14-11_ikanatsu-desktop/events.out.tfevents.1708020853.ikanatsu-desktop.3572.3 +3 -0
- runs/Feb15_19-15-12_ikanatsu-desktop/events.out.tfevents.1708020914.ikanatsu-desktop.3572.4 +3 -0
- runs/Feb15_19-20-17_ikanatsu-desktop/events.out.tfevents.1708021219.ikanatsu-desktop.3572.5 +3 -0
- training_args.bin +1 -1
README.md
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# JP-TTS
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the japanese-anime-speech dataset.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps:
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### Training results
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### Framework versions
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- Transformers 4.38.0.dev0
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- Pytorch 2.2.0
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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# JP-TTS
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the japanese-anime-speech dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 2000
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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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| 1.2983 | 3.55 | 1000 | nan |
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| 3.3128 | 7.1 | 2000 | nan |
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### Framework versions
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- Transformers 4.38.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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