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: 0.2937
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: 7e-05
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3182 | 2.5409 | 100 | 0.3032 |
| 0.3142 | 5.0943 | 200 | 0.3041 |
| 0.3171 | 7.6352 | 300 | 0.3021 |
| 0.3132 | 10.1887 | 400 | 0.2994 |
| 0.3105 | 12.7296 | 500 | 0.2982 |
| 0.3084 | 15.2830 | 600 | 0.2971 |
| 0.3081 | 17.8239 | 700 | 0.2973 |
| 0.3085 | 20.3774 | 800 | 0.2954 |
| 0.3033 | 22.9182 | 900 | 0.2943 |
| 0.3079 | 25.4717 | 1000 | 0.2937 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3