wav2vec2-mms-bugis-synthetic-only
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2906
- Wer: 0.3714
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: 8
- 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: 50
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.7478 | 1.0 | 41 | 4.5729 | 1.0 |
| 3.3476 | 2.0 | 82 | 2.9451 | 1.0 |
| 1.0053 | 3.0 | 123 | 0.8956 | 0.6848 |
| 0.6516 | 4.0 | 164 | 0.7000 | 0.5672 |
| 0.5947 | 5.0 | 205 | 0.6306 | 0.5434 |
| 0.5120 | 6.0 | 246 | 0.5929 | 0.4944 |
| 0.4544 | 7.0 | 287 | 0.6089 | 0.4778 |
| 0.4740 | 8.0 | 328 | 0.5729 | 0.4672 |
| 0.4074 | 9.0 | 369 | 0.5674 | 0.4667 |
| 0.4247 | 10.0 | 410 | 0.5748 | 0.4646 |
| 0.4036 | 11.0 | 451 | 0.5519 | 0.4444 |
| 0.3406 | 12.0 | 492 | 0.5638 | 0.4364 |
| 0.4277 | 13.0 | 533 | 0.5573 | 0.4414 |
| 0.3966 | 14.0 | 574 | 0.5556 | 0.4348 |
| 0.3747 | 15.0 | 615 | 0.5551 | 0.4379 |
Framework versions
- Transformers 5.13.0.dev0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2