wav2vec2-1b-E30_speed2
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: 0.5694
- Cer: 15.0846
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 14.0019 | 0.2580 | 200 | 4.4372 | 96.3816 |
| 2.5022 | 0.5160 | 400 | 2.0994 | 52.6786 |
| 1.4318 | 0.7741 | 600 | 1.5913 | 40.9657 |
| 1.1099 | 1.0321 | 800 | 1.2436 | 29.9930 |
| 0.8555 | 1.2901 | 1000 | 1.0155 | 24.9530 |
| 0.8201 | 1.5481 | 1200 | 0.9694 | 24.3715 |
| 0.7405 | 1.8062 | 1400 | 0.9278 | 24.3480 |
| 0.6497 | 2.0642 | 1600 | 0.9973 | 25.2056 |
| 0.573 | 2.3222 | 1800 | 0.9353 | 23.7723 |
| 0.5129 | 2.5802 | 2000 | 0.8295 | 21.0115 |
| 0.4662 | 2.8383 | 2200 | 0.7473 | 18.8440 |
| 0.4075 | 3.0963 | 2400 | 0.7551 | 20.4182 |
| 0.3506 | 3.3543 | 2600 | 0.6929 | 18.4387 |
| 0.3115 | 3.6123 | 2800 | 0.6474 | 17.4636 |
| 0.3061 | 3.8703 | 3000 | 0.6699 | 17.4460 |
| 0.2554 | 4.1284 | 3200 | 0.6221 | 16.2418 |
| 0.2153 | 4.3864 | 3400 | 0.6394 | 16.9937 |
| 0.1994 | 4.6444 | 3600 | 0.6119 | 15.9833 |
| 0.1915 | 4.9024 | 3800 | 0.5694 | 15.0846 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1