speecht5_finetuned_male_globo_add_token_3_commonvoice_1
This model was trained from scratch on the None 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.4234 | 1.96 | 1000 | 0.3852 |
| 0.4022 | 3.91 | 2000 | 0.3719 |
| 0.3845 | 5.87 | 3000 | 0.3663 |
| 0.3838 | 7.83 | 4000 | 0.3620 |
| 0.3818 | 9.79 | 5000 | 0.3614 |
| 0.3798 | 11.74 | 6000 | 0.3590 |
| 0.3748 | 13.7 | 7000 | 0.3565 |
| 0.3734 | 15.66 | 8000 | 0.3549 |
| 0.3766 | 17.62 | 9000 | 0.3535 |
| 0.3753 | 19.57 | 10000 | 0.3535 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
