wav2vec2-1b-E30_fs2
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: 0.5468
- Cer: 14.2798
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 |
|---|---|---|---|---|
| 10.8739 | 0.2580 | 200 | 2.7757 | 55.2690 |
| 1.817 | 0.5160 | 400 | 1.5611 | 35.3031 |
| 1.2242 | 0.7741 | 600 | 1.2254 | 29.7404 |
| 1.0296 | 1.0321 | 800 | 1.0612 | 26.5508 |
| 0.8143 | 1.2901 | 1000 | 1.0154 | 24.8179 |
| 0.7274 | 1.5481 | 1200 | 0.9467 | 24.0895 |
| 0.6812 | 1.8062 | 1400 | 0.8809 | 23.0204 |
| 0.5998 | 2.0642 | 1600 | 1.0420 | 26.1337 |
| 0.495 | 2.3222 | 1800 | 0.8705 | 22.3978 |
| 0.4552 | 2.5802 | 2000 | 0.8161 | 20.8412 |
| 0.4141 | 2.8383 | 2200 | 0.7798 | 20.8999 |
| 0.3507 | 3.0963 | 2400 | 0.7629 | 19.4901 |
| 0.2985 | 3.3543 | 2600 | 0.6205 | 16.3651 |
| 0.2554 | 3.6123 | 2800 | 0.5922 | 15.8952 |
| 0.2546 | 3.8703 | 3000 | 0.5993 | 16.0479 |
| 0.2114 | 4.1284 | 3200 | 0.5720 | 14.8849 |
| 0.1834 | 4.3864 | 3400 | 0.5807 | 15.2491 |
| 0.1723 | 4.6444 | 3600 | 0.5454 | 14.1800 |
| 0.1631 | 4.9024 | 3800 | 0.5468 | 14.2798 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1