Whisper tiny
This model is a fine-tuned version of openai/whisper-tiny.en on the Nyansapo AI Dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4549
- Wer: 379.5513
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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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: 250
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.2224 | 1.38 | 250 | 0.6100 | 153.0630 |
| 0.545 | 2.76 | 500 | 0.0995 | 662.3814 |
| 0.2906 | 4.14 | 750 | 0.0822 | 650.7334 |
| 0.2063 | 5.52 | 1000 | 0.4549 | 379.5513 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
openai/whisper-tiny.en