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Whisper Small Punjabi
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: 0.5991
- Wer: 39.0469
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: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4346 | 5.01 | 50 | 0.3902 | 49.6797 |
| 0.0728 | 11.0 | 100 | 0.3811 | 40.7379 |
| 0.009 | 16.02 | 150 | 0.4924 | 39.5081 |
| 0.0028 | 22.0 | 200 | 0.5309 | 38.7394 |
| 0.0008 | 27.02 | 250 | 0.5687 | 38.6369 |
| 0.0006 | 33.01 | 300 | 0.5859 | 39.0213 |
| 0.0005 | 38.02 | 350 | 0.5954 | 39.0981 |
| 0.0005 | 44.01 | 400 | 0.5991 | 39.0469 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
