wav2vec2-E30_feq_speed2
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1152
- Cer: 23.6251
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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|
| 40.1347 | 0.1289 | 200 | 5.0362 | 100.0 |
| 4.9594 | 0.2579 | 400 | 4.6347 | 100.0 |
| 4.7937 | 0.3868 | 600 | 4.6122 | 100.0 |
| 4.7775 | 0.5158 | 800 | 4.6742 | 100.0 |
| 4.7068 | 0.6447 | 1000 | 4.5784 | 100.0 |
| 4.6819 | 0.7737 | 1200 | 4.5673 | 100.0 |
| 4.6273 | 0.9026 | 1400 | 4.4307 | 100.0 |
| 4.355 | 1.0316 | 1600 | 4.0447 | 88.3020 |
| 3.6473 | 1.1605 | 1800 | 3.1079 | 59.8884 |
| 2.8791 | 1.2895 | 2000 | 2.5597 | 49.6651 |
| 2.4172 | 1.4184 | 2200 | 2.2464 | 44.2656 |
| 2.0866 | 1.5474 | 2400 | 1.9422 | 39.3948 |
| 1.8889 | 1.6763 | 2600 | 1.7683 | 34.9060 |
| 1.7055 | 1.8053 | 2800 | 1.6691 | 33.8719 |
| 1.5474 | 1.9342 | 3000 | 1.4660 | 29.6886 |
| 1.3932 | 2.0632 | 3200 | 1.4206 | 28.7427 |
| 1.2787 | 2.1921 | 3400 | 1.3387 | 27.7086 |
| 1.1968 | 2.3211 | 3600 | 1.2747 | 26.5217 |
| 1.1476 | 2.4500 | 3800 | 1.2341 | 25.7168 |
| 1.1007 | 2.5790 | 4000 | 1.1612 | 24.3831 |
| 1.0757 | 2.7079 | 4200 | 1.1585 | 24.6416 |
| 1.0166 | 2.8369 | 4400 | 1.1327 | 23.9953 |
| 0.9917 | 2.9658 | 4600 | 1.1152 | 23.6251 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3