wav2vec2-1b-Elderly5
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: 0.4667
- Cer: 12.2650
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 8.8394 | 0.2580 | 200 | 2.3937 | 46.8691 |
| 1.5046 | 0.5160 | 400 | 1.3945 | 30.3689 |
| 1.0724 | 0.7741 | 600 | 1.0383 | 24.7180 |
| 0.8815 | 1.0321 | 800 | 0.9401 | 22.6797 |
| 0.7286 | 1.2901 | 1000 | 0.8012 | 20.3360 |
| 0.6375 | 1.5481 | 1200 | 0.6044 | 15.5016 |
| 0.5906 | 1.8062 | 1400 | 0.5698 | 14.4678 |
| 0.5084 | 2.0642 | 1600 | 0.5267 | 13.5280 |
| 0.4162 | 2.3222 | 1800 | 0.5424 | 13.9274 |
| 0.4088 | 2.5802 | 2000 | 0.4654 | 11.9596 |
| 0.3803 | 2.8383 | 2200 | 0.4667 | 12.2650 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1