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Whisper Small Hi - CKS 111102 gramin dataset over common voice
This model is a fine-tuned version of [fine tuned openai/whisper-small](https://huggingface.co/fine tuned openai/whisper-small) on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2500
- Wer: 27.5791
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: 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: 100
- training_steps: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2056 | 1.92 | 100 | 0.1679 | 27.0708 |
| 0.065 | 3.85 | 200 | 0.2057 | 28.1062 |
| 0.0153 | 5.77 | 300 | 0.2324 | 28.0873 |
| 0.0031 | 7.69 | 400 | 0.2461 | 27.5979 |
| 0.0013 | 9.62 | 500 | 0.2500 | 27.5791 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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