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speecht5_finetuned_ar
Sameeroz/speecht5_finetuned_ar
speecht5_finetuned_ar is a text-to-audio model from Sameeroz. 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
- Oct 30, 2025
- Updated
- Oct 31, 2025
- SHA
- 4a079bec
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_ar
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4771
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 1000
- training_steps: 20000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1297 | 20.0 | 1000 | 0.5249 |
| 1.0651 | 40.0 | 2000 | 0.5058 |
| 1.0377 | 60.0 | 3000 | 0.4958 |
| 1.024 | 80.0 | 4000 | 0.4904 |
| 1.0095 | 100.0 | 5000 | 0.4870 |
| 1.0052 | 120.0 | 6000 | 0.4832 |
| 0.9984 | 140.0 | 7000 | 0.4830 |
| 0.9908 | 160.0 | 8000 | 0.4818 |
| 0.99 | 180.0 | 9000 | 0.4810 |
| 0.98 | 200.0 | 10000 | 0.4814 |
| 0.9765 | 220.0 | 11000 | 0.4793 |
| 0.971 | 240.0 | 12000 | 0.4786 |
| 0.9756 | 260.0 | 13000 | 0.4823 |
| 0.9703 | 280.0 | 14000 | 0.4792 |
| 0.9718 | 300.0 | 15000 | 0.4780 |
| 0.959 | 320.0 | 16000 | 0.4792 |
| 0.963 | 340.0 | 17000 | 0.4789 |
| 0.9639 | 360.0 | 18000 | 0.4789 |
| 0.9613 | 380.0 | 19000 | 0.4786 |
| 0.9577 | 400.0 | 20000 | 0.4771 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.7.1+cu118
- Datasets 4.0.0
- Tokenizers 0.20.3
- Task
- Text-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Created
- Oct 30, 2025
- Updated
- Oct 31, 2025