speecht5_sotuvchi_03
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
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: 2e-05
- train_batch_size: 128
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- 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: 500
- num_epochs: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.6191 | 50.0 | 50 | 1.0185 |
| 0.6084 | 100.0 | 100 | 0.9518 |
| 0.5364 | 150.0 | 150 | 0.8739 |
| 0.4962 | 200.0 | 200 | 0.8089 |
| 0.4986 | 250.0 | 250 | 0.7600 |
| 0.4271 | 300.0 | 300 | 0.7515 |
| 0.3937 | 350.0 | 350 | 0.7359 |
| 0.3983 | 400.0 | 400 | 0.7291 |
| 0.3982 | 450.0 | 450 | 0.7349 |
| 0.3734 | 500.0 | 500 | 0.7077 |
| 0.3786 | 550.0 | 550 | 0.7153 |
| 0.3852 | 600.0 | 600 | 0.7076 |
| 0.3563 | 650.0 | 650 | 0.6961 |
| 0.3341 | 700.0 | 700 | 0.6844 |
| 0.3373 | 750.0 | 750 | 0.6823 |
| 0.355 | 800.0 | 800 | 0.6804 |
| 0.3401 | 850.0 | 850 | 0.6811 |
| 0.3401 | 900.0 | 900 | 0.6824 |
| 0.3374 | 950.0 | 950 | 0.6792 |
| 0.3293 | 1000.0 | 1000 | 0.6782 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
