BisiX: Sundanese Whisper
This model is a fine-tuned version of openai/whisper-tiny.en on the SU ID ASR dataset. It achieves the following results on the evaluation set:
- Loss: 1.0180
- Wer: 33.8787
- Cer: 11.6897
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 150
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 4.3455 | 0.1765 | 30 | 2.4772 | 85.1326 | 33.9863 |
| 1.7093 | 0.3529 | 60 | 1.3486 | 41.4562 | 15.2167 |
| 1.2183 | 0.5294 | 90 | 1.1469 | 36.2247 | 12.5208 |
| 1.0676 | 0.7059 | 120 | 1.0517 | 34.6427 | 11.9084 |
| 0.9974 | 0.8824 | 150 | 1.0180 | 33.8787 | 11.6897 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for edutjie/bisix-su-id
Base model
openai/whisper-tiny.en