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speecht5_tts_common_voice_zh
wuula/speecht5_tts_common_voice_zh
speecht5_tts_common_voice_zh is a text-to-audio model from wuula. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Jun 7, 2023
- Updated
- Jun 7, 2023
- SHA
- 2555e50e
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
SpeechT5 TTS Dutch
This model is a fine-tuned version of microsoft/speecht5_tts on the speecht5_tts_common_voice_zh dataset. It achieves the following results on the evaluation set:
- Loss: 0.6217
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6909 | 4.49 | 1000 | 0.6541 |
| 0.6671 | 8.99 | 2000 | 0.6351 |
| 0.653 | 13.48 | 3000 | 0.6249 |
| 0.6565 | 17.98 | 4000 | 0.6217 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- zh
- Created
- Jun 7, 2023
- Updated
- Jun 7, 2023