End of training
Browse files- README.md +1 -7
- config.json +1 -1
- model.safetensors +1 -1
- runs/Feb15_19-49-19_ikanatsu-desktop/events.out.tfevents.1708022961.ikanatsu-desktop.3572.6 +3 -0
- runs/Feb15_19-49-39_ikanatsu-desktop/events.out.tfevents.1708022980.ikanatsu-desktop.3572.7 +3 -0
- runs/Feb15_19-49-49_ikanatsu-desktop/events.out.tfevents.1708022990.ikanatsu-desktop.3572.8 +3 -0
- runs/Feb15_19-49-59_ikanatsu-desktop/events.out.tfevents.1708023001.ikanatsu-desktop.3572.9 +3 -0
- runs/Feb15_19-50-12_ikanatsu-desktop/events.out.tfevents.1708023014.ikanatsu-desktop.3572.10 +3 -0
- runs/Feb15_20-01-48_ikanatsu-desktop/events.out.tfevents.1708023710.ikanatsu-desktop.3572.11 +3 -0
- runs/Feb15_20-02-18_ikanatsu-desktop/events.out.tfevents.1708023740.ikanatsu-desktop.3572.12 +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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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:
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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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# 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: 400
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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{
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"_name_or_path": "Ananie/japanes-tts",
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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model.safetensors
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