Whisper Small Hi gpu_ft_tiny
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5438
- Wer: 230.9744
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.253 | 4.88 | 1000 | 0.5272 | 183.8906 |
| 0.1388 | 9.76 | 2000 | 0.5438 | 230.9744 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+rocm5.4.2
- Datasets 2.14.5
- Tokenizers 0.12.1
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Base model
openai/whisper-small