Whisper Base Ru
This model is a fine-tuned version of openai/whisper-base on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3411
- Wer: 151.5562
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3519 | 0.61 | 1000 | 0.3882 | 155.8949 |
| 0.2055 | 1.21 | 2000 | 0.3565 | 159.1748 |
| 0.2047 | 1.82 | 3000 | 0.3422 | 164.2338 |
| 0.1469 | 2.43 | 4000 | 0.3411 | 151.5562 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.1
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