Whisper Small Hi - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the ## dataset. It achieves the following results on the evaluation set:
- Loss: 0.5230
- Wer: 28.6874
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: 20
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2772 | 0.57 | 100 | 0.5491 | 29.9594 |
| 0.1497 | 1.15 | 200 | 0.5230 | 28.6874 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Neruzo/whisper-small-vi
Base model
openai/whisper-smallDataset used to train Neruzo/whisper-small-vi
Evaluation results
- Wer on ##self-reported28.687