wav2vec2-l-xls-r-300m-official
This model is a fine-tuned version of Khalsuu/filipino-wav2vec2-l-xls-r-300m-official on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8308
- Cer: 0.1332
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 20
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 7.8367 | 1.1905 | 100 | 3.5769 | 0.4891 |
| 2.2149 | 2.3810 | 200 | 1.1669 | 0.1616 |
| 1.3048 | 3.5714 | 300 | 0.9331 | 0.1494 |
| 1.0685 | 4.7619 | 400 | 0.8628 | 0.1491 |
| 0.9243 | 5.9524 | 500 | 0.8304 | 0.1341 |
| 0.7994 | 7.1429 | 600 | 0.8677 | 0.1385 |
| 0.7299 | 8.3333 | 700 | 0.8713 | 0.1352 |
| 0.6595 | 9.5238 | 800 | 0.8855 | 0.1350 |
| 0.6130 | 10.7143 | 900 | 0.9014 | 0.1340 |
| 0.5657 | 11.9048 | 1000 | 0.9150 | 0.1330 |
| 0.5385 | 13.0952 | 1100 | 0.9400 | 0.1336 |
| 0.5035 | 14.2857 | 1200 | 0.9942 | 0.1312 |
| 0.4649 | 15.4762 | 1300 | 1.0154 | 0.1295 |
| 0.4608 | 16.6667 | 1400 | 1.0111 | 0.1304 |
| 0.4340 | 17.8571 | 1500 | 1.0336 | 0.1297 |
| 0.4239 | 19.0476 | 1600 | 1.0370 | 0.1316 |
| 0.4089 | 20.2381 | 1700 | 1.0630 | 0.1315 |
| 0.3990 | 21.4286 | 1800 | 1.0666 | 0.1295 |
| 0.3989 | 22.6190 | 1900 | 1.0710 | 0.1295 |
| 0.3789 | 23.8095 | 2000 | 1.0815 | 0.1310 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2