wav2vec2-xls-r-1b-scandinavian-E5-100h-30-epochs-20250124
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: 1.2093
- Wer: 31.5873
- Cer: 16.9806
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 6000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 1.3694 | 2.6324 | 1000 | 1.1761 | 67.3147 | 26.5833 |
| 0.8825 | 5.2635 | 2000 | 0.8142 | 38.0987 | 17.7731 |
| 0.771 | 7.8959 | 3000 | 0.7671 | 36.3361 | 17.4212 |
| 0.6715 | 10.5270 | 4000 | 0.8356 | 33.9325 | 17.2121 |
| 0.6258 | 13.1581 | 5000 | 0.7917 | 35.6939 | 17.7429 |
| 0.5753 | 15.7905 | 6000 | 0.8691 | 35.4330 | 17.9205 |
| 0.4999 | 18.4216 | 7000 | 0.8614 | 34.5560 | 17.5324 |
| 0.4432 | 21.0527 | 8000 | 0.9074 | 33.6095 | 17.4453 |
| 0.3479 | 23.6851 | 9000 | 1.0258 | 33.6368 | 17.7273 |
| 0.3202 | 26.3162 | 10000 | 1.1457 | 31.8084 | 17.0006 |
| 0.2974 | 28.9486 | 11000 | 1.2093 | 31.5873 | 16.9806 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0