deryauysal
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End of training
Browse files- README.md +1 -13
- config.json +1 -1
- generation_config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +2 -2
README.md
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# SpeechT5 TTS Turkish
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the CommonVoice dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4650
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## Model description
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.4726 | 111.11 | 1000 | 0.4570 |
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| 0.4333 | 222.22 | 2000 | 0.4567 |
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| 0.417 | 333.33 | 3000 | 0.4631 |
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| 0.4327 | 444.44 | 4000 | 0.4650 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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# SpeechT5 TTS Turkish
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This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the CommonVoice dataset.
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## Model description
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- lr_scheduler_warmup_steps: 500
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- training_steps: 4000
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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config.json
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.33.0
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size": 81
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.33.0",
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"use_cache": false,
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"use_guided_attention_loss": true,
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"vocab_size": 81
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generation_config.json
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"eos_token_id": 2,
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"max_length": 1876,
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"pad_token_id": 1,
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"transformers_version": "4.33.0
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}
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"eos_token_id": 2,
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"max_length": 1876,
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"pad_token_id": 1,
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"transformers_version": "4.33.0"
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}
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pytorch_model.bin
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training_args.bin
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