openai/whisper-small-finetuned-common_voice_13_0-bg
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3983
- Wer Ortho: 30.2504
- Wer: 23.2648
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: 32
- eval_batch_size: 32
- 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: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0787 | 2.78 | 500 | 0.3445 | 31.2999 | 24.2365 |
| 0.0145 | 5.56 | 1000 | 0.3983 | 30.2504 | 23.2648 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.12.0+cu102
- Datasets 2.15.0
- Tokenizers 0.15.0