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speecht5_finetuned_Abdulbari_tr_v1
Abdulbarisoylemez/speecht5_finetuned_Abdulbari_tr_v1
speecht5_finetuned_Abdulbari_tr_v1 is a text-to-audio model from Abdulbarisoylemez. 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
- Sep 26, 2025
- Updated
- Sep 26, 2025
- SHA
- ab3a0cdd
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_Abdulbari_tr_v1
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: 0.2773
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3949 | 0.5695 | 500 | 0.3470 |
| 0.3396 | 1.1390 | 1000 | 0.3108 |
| 0.312 | 1.7084 | 1500 | 0.3095 |
| 0.3123 | 2.2779 | 2000 | 0.2871 |
| 0.2957 | 2.8474 | 2500 | 0.2773 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Sep 26, 2025
- Updated
- Sep 26, 2025