metadata
library_name: transformers
license: mit
base_model: fahadqazi/Sindhi-TTS
tags:
- generated_from_trainer
model-index:
- name: Sindhi-TTS
results: []
Sindhi-TTS
This model is a fine-tuned version of fahadqazi/Sindhi-TTS on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4421
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: 8
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use 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: 200
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4462 | 0.2042 | 100 | 0.4506 |
| 0.4456 | 0.4084 | 200 | 0.4482 |
| 0.4424 | 0.6126 | 300 | 0.4468 |
| 0.4501 | 0.8167 | 400 | 0.4429 |
| 0.4393 | 1.0219 | 500 | 0.4435 |
| 0.4518 | 1.2261 | 600 | 0.4439 |
| 0.4459 | 1.4303 | 700 | 0.4423 |
| 0.4404 | 1.6345 | 800 | 0.4430 |
| 0.4414 | 1.8387 | 900 | 0.4423 |
| 0.4396 | 2.0439 | 1000 | 0.4421 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3