speecht5_finetuned_North_fa
This model is a fine-tuned version of payamvha/speecht5_finetuned_North_fa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6506
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-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_FUSED 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: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7138 | 4.1778 | 50 | 0.6631 |
| 0.682 | 8.3556 | 100 | 0.6615 |
| 0.6625 | 12.5333 | 150 | 0.6569 |
| 0.6533 | 16.7111 | 200 | 0.6403 |
| 0.6415 | 20.8889 | 250 | 0.6409 |
| 0.6347 | 25.0 | 300 | 0.6577 |
| 0.6212 | 29.1778 | 350 | 0.6558 |
| 0.6251 | 33.3556 | 400 | 0.6506 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1