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speecht5_tts_tandt_6000
andre-coy/speecht5_tts_tandt_6000
speecht5_tts_tandt_6000 is a text-to-audio model from andre-coy. 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
- May 29, 2024
- Updated
- May 29, 2024
- SHA
- 8c28719f
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_Trini_female_6000
This model is a fine-tuned version of microsoft/speecht5_tts on the TandT dataset. It achieves the following results on the evaluation set:
- Loss: 0.3725
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: 6000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4357 | 4.78 | 1000 | 0.3908 |
| 0.4196 | 9.57 | 2000 | 0.3805 |
| 0.4029 | 14.35 | 3000 | 0.3749 |
| 0.4041 | 19.14 | 4000 | 0.3745 |
| 0.3916 | 23.92 | 5000 | 0.3727 |
| 0.3966 | 28.71 | 6000 | 0.3725 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- en
- Created
- May 29, 2024
- Updated
- May 29, 2024