wav2vec2-1b-E3
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: 0.4214
- Cer: 11.5484
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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 |
|---|---|---|---|---|
| 10.9096 | 0.2580 | 200 | 4.4784 | 97.7502 |
| 2.5397 | 0.5160 | 400 | 1.5540 | 34.0754 |
| 1.2018 | 0.7741 | 600 | 1.1079 | 26.2805 |
| 0.9714 | 1.0321 | 800 | 0.8312 | 20.3360 |
| 0.7789 | 1.2901 | 1000 | 0.7358 | 18.0980 |
| 0.6942 | 1.5481 | 1200 | 0.6558 | 17.2580 |
| 0.6176 | 1.8062 | 1400 | 0.5847 | 15.0787 |
| 0.5476 | 2.0642 | 1600 | 0.5941 | 15.8365 |
| 0.4525 | 2.3222 | 1800 | 0.5006 | 13.3870 |
| 0.4068 | 2.5802 | 2000 | 0.4577 | 12.6527 |
| 0.37 | 2.8383 | 2200 | 0.4214 | 11.5484 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3