Whisper Small Hi - Sanchit Gandhi
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: 0.5168
- Wer: 13.2690
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 41.6667 | 1000 | 0.4722 | 13.2980 |
| 0.0 | 83.3333 | 2000 | 0.4972 | 13.2529 |
| 0.0 | 125.0 | 3000 | 0.5114 | 13.2417 |
| 0.0 | 166.6667 | 4000 | 0.5168 | 13.2690 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.0.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
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