whisper-hindi-small
This model is a fine-tuned version of vasista22/whisper-hindi-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2106
- Wer: 16.3763
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.75e-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: 250
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0001 | 50.0 | 250 | 0.1925 | 16.5157 |
| 0.0 | 100.0 | 500 | 0.2046 | 16.2369 |
| 0.0 | 150.0 | 750 | 0.2092 | 16.3763 |
| 0.0 | 200.0 | 1000 | 0.2106 | 16.3763 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
vasista22/whisper-hindi-small