Whisper Tiny Product Search - Your Name
This model is a fine-tuned version of openai/whisper-tiny.en on the Product Search Voice Queries dataset. It achieves the following results on the evaluation set:
- Loss: 2.6980
- Wer: 69.2308
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.5491 | 1.6667 | 5 | 3.9844 | 61.5385 |
| 2.95 | 3.3333 | 10 | 2.6980 | 69.2308 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for hamdi619/whisper-product-search-test
Base model
openai/whisper-tiny.en