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Whisper Small Urdu
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 ur dataset. It achieves the following results on the evaluation set:
- Loss: 0.7803
- Wer: 32.6814
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2634 | 3.85 | 200 | 0.5562 | 43.3518 |
| 0.0592 | 7.69 | 400 | 0.6271 | 40.8807 |
| 0.0121 | 11.54 | 600 | 0.7298 | 35.4506 |
| 0.0048 | 15.38 | 800 | 0.7803 | 32.6814 |
| 0.0039 | 19.23 | 1000 | 0.7940 | 33.3243 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
