wav2vec2-mms-bugis-authentic-only
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7400
- Wer: 1.0
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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- 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: 10
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 11.4878 | 1.0 | 8 | 8.4533 | 1.1349 |
| 3.9624 | 2.0 | 16 | 3.2419 | 1.0 |
| 3.2684 | 3.0 | 24 | 3.3585 | 1.0 |
| 3.0743 | 4.0 | 32 | 3.0732 | 1.0 |
| 2.9870 | 5.0 | 40 | 3.0299 | 1.0 |
| 2.9748 | 6.0 | 48 | 3.0363 | 1.0 |
| 2.9038 | 7.0 | 56 | 2.9640 | 1.0 |
| 2.8971 | 8.0 | 64 | 3.0227 | 1.0 |
| 2.8477 | 9.0 | 72 | 2.9351 | 1.0 |
| 2.8047 | 10.0 | 80 | 2.9484 | 1.0 |
| 2.7527 | 11.0 | 88 | 2.9021 | 1.0 |
| 2.7464 | 12.0 | 96 | 2.8756 | 1.0 |
| 2.7275 | 13.0 | 104 | 2.8562 | 1.0 |
| 2.6882 | 14.0 | 112 | 2.8740 | 1.0 |
| 2.7034 | 15.0 | 120 | 2.8558 | 1.0 |
Framework versions
- Transformers 5.13.0.dev0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2