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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: 0.5960
- Wer: 125.5263
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
- 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: 10
- training_steps: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.9554 | 0.17 | 10 | 1.0085 | 174.1118 |
| 0.7053 | 0.33 | 20 | 0.7362 | 197.4013 |
| 0.681 | 0.5 | 30 | 0.6581 | 136.6776 |
| 0.6198 | 0.67 | 40 | 0.6242 | 118.9145 |
| 0.5901 | 0.83 | 50 | 0.6064 | 126.2829 |
| 0.5363 | 1.0 | 60 | 0.5960 | 125.5263 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.12.1
