whisper-tiny.en
This model is a fine-tuned version of openai/whisper-tiny.en on the Azure-dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.0691
- Wer: 8.8870
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: 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 |
|---|---|---|---|---|
| 1.2834 | 1.38 | 250 | 0.6457 | 19.0682 |
| 0.3634 | 2.76 | 500 | 0.0896 | 7.5065 |
| 0.216 | 4.14 | 750 | 0.0727 | 6.8162 |
| 0.1824 | 5.52 | 1000 | 0.0691 | 8.8870 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for eai6/whisper-small.en
Base model
openai/whisper-tiny.en