Whisper Small Hi - Shrad
This model is a fine-tuned version of openai/whisper-small on the Language-finetuned dataset. It achieves the following results on the evaluation set:
- Loss: 0.3292
- Wer: 39.4015
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: 50
- training_steps: 306
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3206 | 0.2445 | 100 | 0.4071 | 45.9959 |
| 0.279 | 0.4890 | 200 | 0.3505 | 41.5178 |
| 0.2423 | 0.7335 | 300 | 0.3292 | 39.4015 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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