Whisper Tiny Quiztest
This model is a fine-tuned version of openai/whisper-tiny on the quiztest dataset. It achieves the following results on the evaluation set:
- Loss: 0.0947
- Wer: 55.05
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 1000
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7317 | 2.0 | 500 | 0.4655 | 73.0 |
| 0.2146 | 4.0 | 1000 | 0.0947 | 55.05 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
openai/whisper-tiny