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whisper-sm-urdu-finetuned
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1777
- Wer: 36.0220
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4017 | 0.18 | 1000 | 0.2591 | 65.3388 |
| 0.3963 | 0.36 | 2000 | 0.2135 | 43.6355 |
| 0.3162 | 0.54 | 3000 | 0.1880 | 35.8573 |
| 0.3479 | 0.72 | 4000 | 0.1777 | 36.0220 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3
