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Whisper Small hy
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: 0.6376
- Wer: 116.0855
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7891 | 0.2 | 10 | 0.9031 | 184.375 |
| 0.6573 | 0.4 | 20 | 0.7425 | 149.0789 |
| 0.647 | 0.6 | 30 | 0.6797 | 138.125 |
| 0.551 | 0.8 | 40 | 0.6483 | 127.5329 |
| 0.5477 | 1.0 | 50 | 0.6376 | 116.0855 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.12.1
