Whisper Small Th-test
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1682
- Wer: 67.2175
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2871 | 0.3740 | 1000 | 0.2529 | 79.2194 |
| 0.2218 | 0.7479 | 2000 | 0.1997 | 71.3654 |
| 0.125 | 1.1219 | 3000 | 0.1770 | 68.7407 |
| 0.1263 | 1.4959 | 4000 | 0.1682 | 67.2175 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 47
Model tree for Chanathipjjj444/whisper-small-th
Base model
openai/whisper-small