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speecht5_finetuned_zh-TW
zongxiao/speecht5_finetuned_zh-TW
speecht5_finetuned_zh-TW is a text-to-audio model from zongxiao. 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
- Oct 4, 2023
- Updated
- Oct 4, 2023
- SHA
- 6a04cd5d
Base models
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_finetuned_zh-TW
This model is a fine-tuned version of GCYY/speecht5_finetuned_fleurs_zh on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5108
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|---|---|---|---|
| 0.5844 | 6.62 | 1000 | 0.5454 |
| 0.5495 | 13.25 | 2000 | 0.5215 |
| 0.5536 | 19.87 | 3000 | 0.5176 |
| 0.5257 | 26.49 | 4000 | 0.5108 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Oct 4, 2023
- Updated
- Oct 4, 2023