speecht5_Mehdi_Final_Model_v2
This model is a fine-tuned version of kingmhd1519/speecht5_Mehdi_Final_Model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3991
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 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: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4336 | 3.2924 | 250 | 0.4085 |
| 0.4214 | 6.5847 | 500 | 0.4003 |
| 0.4176 | 9.8771 | 750 | 0.3979 |
| 0.4064 | 13.1595 | 1000 | 0.3968 |
| 0.3999 | 16.4518 | 1250 | 0.3985 |
| 0.4028 | 19.7442 | 1500 | 0.3991 |
Framework versions
- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1