toki_pona_test_cogn_wav2vec2-xls-r-300m
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0718
- Wer: 0.0457
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use adamw_torch 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: 500
- num_epochs: 14
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.9966 | 147 | 2.6699 | 1.0 |
| No log | 2.0 | 295 | 0.6492 | 0.5195 |
| No log | 2.9966 | 442 | 0.1896 | 0.1911 |
| 2.6379 | 4.0 | 590 | 0.1464 | 0.1274 |
| 2.6379 | 4.9966 | 737 | 0.1177 | 0.1073 |
| 2.6379 | 6.0 | 885 | 0.1089 | 0.0935 |
| 0.1404 | 6.9966 | 1032 | 0.0978 | 0.0792 |
| 0.1404 | 8.0 | 1180 | 0.0957 | 0.0735 |
| 0.1404 | 8.9966 | 1327 | 0.0888 | 0.0697 |
| 0.1404 | 10.0 | 1475 | 0.0741 | 0.0584 |
| 0.0683 | 10.9966 | 1622 | 0.0710 | 0.0519 |
| 0.0683 | 12.0 | 1770 | 0.0687 | 0.0477 |
| 0.0683 | 12.9966 | 1917 | 0.0709 | 0.0458 |
| 0.0383 | 13.9525 | 2058 | 0.0718 | 0.0457 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3