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tts_hataw_MG
seywan1378/tts_hataw_MG
tts_hataw_MG is a text-to-audio model from seywan1378. 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
- Dec 3, 2025
- Updated
- Dec 3, 2025
- SHA
- e8dd10e3
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_TTS_Hataw
This model is a fine-tuned version of microsoft/speecht5_tts on the HatawTTS dataset. It achieves the following results on the evaluation set:
- Loss: 0.3532
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: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5705 | 0.3814 | 250 | 0.4276 |
| 0.4671 | 0.7628 | 500 | 0.4159 |
| 0.451 | 1.1434 | 750 | 0.4107 |
| 0.436 | 1.5248 | 1000 | 0.3948 |
| 0.4279 | 1.9062 | 1250 | 0.3917 |
| 0.4237 | 2.2868 | 1500 | 0.3835 |
| 0.4168 | 2.6682 | 1750 | 0.3818 |
| 0.4131 | 3.0488 | 2000 | 0.3802 |
| 0.4084 | 3.4302 | 2250 | 0.3752 |
| 0.4062 | 3.8116 | 2500 | 0.3726 |
| 0.4033 | 4.1922 | 2750 | 0.3720 |
| 0.3981 | 4.5736 | 3000 | 0.3682 |
| 0.4002 | 4.9550 | 3250 | 0.3686 |
| 0.3959 | 5.3356 | 3500 | 0.3704 |
| 0.3958 | 5.7170 | 3750 | 0.3658 |
| 0.3941 | 6.0976 | 4000 | 0.3677 |
| 0.3928 | 6.4790 | 4250 | 0.3621 |
| 0.3889 | 6.8604 | 4500 | 0.3604 |
| 0.3891 | 7.2410 | 4750 | 0.3656 |
| 0.3832 | 7.6224 | 5000 | 0.3602 |
| 0.3868 | 8.0031 | 5250 | 0.3611 |
| 0.3822 | 8.3844 | 5500 | 0.3584 |
| 0.3823 | 8.7658 | 5750 | 0.3574 |
| 0.3807 | 9.1465 | 6000 | 0.3584 |
| 0.3774 | 9.5278 | 6250 | 0.3545 |
| 0.3794 | 9.9092 | 6500 | 0.3589 |
| 0.3762 | 10.2899 | 6750 | 0.3544 |
| 0.3771 | 10.6712 | 7000 | 0.3558 |
| 0.3753 | 11.0519 | 7250 | 0.3550 |
| 0.3716 | 11.4333 | 7500 | 0.3537 |
| 0.3735 | 11.8146 | 7750 | 0.3532 |
| 0.3701 | 12.1953 | 8000 | 0.3548 |
| 0.371 | 12.5767 | 8250 | 0.3549 |
| 0.3694 | 12.9580 | 8500 | 0.3522 |
| 0.3689 | 13.3387 | 8750 | 0.3546 |
| 0.3692 | 13.7201 | 9000 | 0.3526 |
| 0.3697 | 14.1007 | 9250 | 0.3528 |
| 0.3666 | 14.4821 | 9500 | 0.3530 |
| 0.3654 | 14.8635 | 9750 | 0.3529 |
| 0.3666 | 15.2441 | 10000 | 0.3532 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.8.0+cu129
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- ckb
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025