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speecht5_finetuned_kerem-tr
kevembuvak/speecht5_finetuned_kerem-tr
speecht5_finetuned_kerem-tr is a text-to-audio model from kevembuvak. 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
- Mar 1, 2025
- Updated
- Mar 9, 2025
- SHA
- 3d0dbb67
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. -->
speecht5_finetuned_kerem-tr
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: 0.4918
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 800
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7141 | 0.2567 | 100 | 0.6743 |
| 0.6256 | 0.5133 | 200 | 0.5838 |
| 0.5663 | 0.7700 | 300 | 0.5397 |
| 0.558 | 1.0282 | 400 | 0.5211 |
| 0.5262 | 1.2849 | 500 | 0.5128 |
| 0.5253 | 1.5415 | 600 | 0.5030 |
| 0.5133 | 1.7982 | 700 | 0.4985 |
| 0.5165 | 2.0565 | 800 | 0.4918 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Mar 1, 2025
- Updated
- Mar 9, 2025