whisper-tiny-th
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8797
- Cer: 32.5605
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.0985 | 1.0 | 44 | 0.7953 | 32.9637 |
| 0.0465 | 2.0 | 88 | 0.8320 | 31.4516 |
| 0.0274 | 3.0 | 132 | 0.8624 | 33.2661 |
| 0.0178 | 4.0 | 176 | 0.8752 | 32.5605 |
| 0.0165 | 5.0 | 220 | 0.8797 | 32.5605 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for ptotheun/whisper-tiny-th
Base model
openai/whisper-tiny