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speecht5_tts_hataw_aug_ckb
seywan1378/speecht5_tts_hataw_aug_ckb
speecht5_tts_hataw_aug_ckb 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
- Sep 27, 2025
- Updated
- Sep 27, 2025
- SHA
- c9c847cc
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: 0.3396
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: 20
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 40
- 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: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5981 | 0.0962 | 100 | 0.5262 |
| 0.4913 | 0.1925 | 200 | 0.4319 |
| 0.4812 | 0.2887 | 300 | 0.4450 |
| 0.4811 | 0.3850 | 400 | 0.4226 |
| 0.4584 | 0.4812 | 500 | 0.4040 |
| 0.4422 | 0.5775 | 600 | 0.4106 |
| 0.43 | 0.6737 | 700 | 0.3951 |
| 0.4325 | 0.7700 | 800 | 0.3884 |
| 0.4273 | 0.8662 | 900 | 0.3872 |
| 0.4133 | 0.9625 | 1000 | 0.3817 |
| 0.4162 | 1.0587 | 1100 | 0.3794 |
| 0.4181 | 1.1550 | 1200 | 0.3773 |
| 0.4044 | 1.2512 | 1300 | 0.3788 |
| 0.4061 | 1.3474 | 1400 | 0.3727 |
| 0.4122 | 1.4437 | 1500 | 0.3846 |
| 0.4075 | 1.5399 | 1600 | 0.3736 |
| 0.4069 | 1.6362 | 1700 | 0.3671 |
| 0.4036 | 1.7324 | 1800 | 0.3672 |
| 0.395 | 1.8287 | 1900 | 0.3667 |
| 0.3999 | 1.9249 | 2000 | 0.3775 |
| 0.3885 | 2.0212 | 2100 | 0.3651 |
| 0.4038 | 2.1174 | 2200 | 0.3667 |
| 0.3915 | 2.2137 | 2300 | 0.3598 |
| 0.3984 | 2.3099 | 2400 | 0.3587 |
| 0.3878 | 2.4062 | 2500 | 0.3587 |
| 0.3923 | 2.5024 | 2600 | 0.3579 |
| 0.4055 | 2.5987 | 2700 | 0.3567 |
| 0.3819 | 2.6949 | 2800 | 0.3554 |
| 0.3789 | 2.7911 | 2900 | 0.3522 |
| 0.3797 | 2.8874 | 3000 | 0.3522 |
| 0.3823 | 2.9836 | 3100 | 0.3513 |
| 0.3775 | 3.0799 | 3200 | 0.3508 |
| 0.3789 | 3.1761 | 3300 | 0.3495 |
| 0.376 | 3.2724 | 3400 | 0.3495 |
| 0.3774 | 3.3686 | 3500 | 0.3482 |
| 0.3739 | 3.4649 | 3600 | 0.3483 |
| 0.3718 | 3.5611 | 3700 | 0.3467 |
| 0.377 | 3.6574 | 3800 | 0.3484 |
| 0.3713 | 3.7536 | 3900 | 0.3444 |
| 0.3744 | 3.8499 | 4000 | 0.3461 |
| 0.3695 | 3.9461 | 4100 | 0.3440 |
| 0.3714 | 4.0423 | 4200 | 0.3428 |
| 0.3681 | 4.1386 | 4300 | 0.3424 |
| 0.3719 | 4.2348 | 4400 | 0.3424 |
| 0.3689 | 4.3311 | 4500 | 0.3411 |
| 0.3741 | 4.4273 | 4600 | 0.3413 |
| 0.3676 | 4.5236 | 4700 | 0.3402 |
| 0.3655 | 4.6198 | 4800 | 0.3402 |
| 0.369 | 4.7161 | 4900 | 0.3397 |
| 0.3624 | 4.8123 | 5000 | 0.3396 |
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
- Languages
- ckb
- Created
- Sep 27, 2025
- Updated
- Sep 27, 2025