MMS-1B Burmese ASR - SLR80 Fine-Tuned
This model is a fine-tuned version of facebook/mms-1b-all on the Myanmar Speech Dataset (OpenSLR-80) dataset. It achieves the following results on the evaluation set:
- Loss: 0.3057
- Wer: 0.9486
- Cer: 0.1060
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 12.2228 | 0.7027 | 100 | 0.5757 | 1.0 | 0.2000 |
| 11.0420 | 1.4005 | 200 | 0.5379 | 1.0 | 0.1918 |
| 9.6407 | 2.0984 | 300 | 0.4368 | 0.9921 | 0.1592 |
| 8.5662 | 2.8011 | 400 | 0.4035 | 0.9842 | 0.1474 |
| 6.6940 | 3.4989 | 500 | 0.3860 | 1.0 | 0.1394 |
| 4.9239 | 4.1968 | 600 | 0.3418 | 0.9921 | 0.1261 |
| 4.7416 | 4.8994 | 700 | 0.3377 | 0.9723 | 0.1231 |
| 4.0854 | 5.5973 | 800 | 0.3226 | 0.9644 | 0.1128 |
| 3.4215 | 6.2951 | 900 | 0.3100 | 0.9526 | 0.1072 |
| 3.1916 | 6.9978 | 1000 | 0.3057 | 0.9486 | 0.1059 |
Framework versions
- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1