whisper-tiny-polyai-english
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5021
- Wer Ortho: 0.3467
- Wer: 0.3377
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 1.3183 | 3.57 | 50 | 0.6320 | 0.4183 | 0.3961 |
| 0.1792 | 7.14 | 100 | 0.5021 | 0.3467 | 0.3377 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0.dev20230627+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3
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Dataset used to train derek-thomas/whisper-tiny-polyai-english
Evaluation results
- Wer on PolyAI/minds14self-reported0.338