speecht5_Tamil_Finetuned_v2
This model is a fine-tuned version of microsoft/speecht5_tts on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5355
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: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6179 | 8.8496 | 1000 | 0.5649 |
| 0.5755 | 17.6991 | 2000 | 0.5407 |
| 0.5744 | 26.5487 | 3000 | 0.5370 |
| 0.5702 | 35.3982 | 4000 | 0.5355 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1