Whisper Small Co 3
This model is a fine-tuned version of openai/whisper-small on the Co audio dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0175
- Cer Ortho: 0.0007
- Cer: 0.5115
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 600
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer Ortho | Cer |
|---|---|---|---|---|---|
| 0.0297 | 8.9552 | 600 | 0.0175 | 0.0007 | 0.5115 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 1
Model tree for ntviet/whisper-small-co3
Base model
openai/whisper-small