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uz_2301_5_tts
Beehzod/uz_2301_5_tts
uz_2301_5_tts is a text-to-audio model from Beehzod. 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
- Feb 10, 2025
- Updated
- Feb 10, 2025
- SHA
- fe3c12e0
Base models
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. -->
uz_2301_5_tts
This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2276
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7659 | 20.0 | 500 | 0.7017 |
| 1.2697 | 40.0 | 1000 | 1.2323 |
| 1.2248 | 60.0 | 1500 | 1.2238 |
| 1.2141 | 80.0 | 2000 | 1.2275 |
| 1.2081 | 100.0 | 2500 | 1.2308 |
| 1.2068 | 120.0 | 3000 | 1.2276 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Feb 10, 2025
- Updated
- Feb 10, 2025