wav2vec2-1b-E4
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0115
- Cer: 22.0865
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 11.1609 | 0.2580 | 200 | 6.3728 | 92.8689 |
| 4.3491 | 0.5161 | 400 | 5.6784 | 92.8160 |
| 4.0824 | 0.7741 | 600 | 5.3062 | 86.6424 |
| 3.4061 | 1.0322 | 800 | 3.3096 | 68.3917 |
| 2.5185 | 1.2902 | 1000 | 2.6009 | 54.2587 |
| 2.0009 | 1.5483 | 1200 | 2.2565 | 47.9323 |
| 1.6149 | 1.8063 | 1400 | 1.5933 | 32.3602 |
| 1.3834 | 2.0643 | 1600 | 1.7115 | 35.8494 |
| 1.1505 | 2.3224 | 1800 | 1.1848 | 26.5449 |
| 1.0075 | 2.5804 | 2000 | 1.1573 | 25.9868 |
| 0.967 | 2.8385 | 2200 | 1.0115 | 22.0865 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3