SpeechT5 TTS Kurdish - Sorani
This model is a fine-tuned version of microsoft/speecht5_tts on the Mozilla Common Voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.5069
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 16000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.556 | 18.4332 | 4000 | 0.5184 |
| 0.5182 | 36.8664 | 8000 | 0.5033 |
| 0.5071 | 55.2995 | 12000 | 0.5057 |
| 0.5039 | 73.7327 | 16000 | 0.5069 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1
- Downloads last month
- 22
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.