Whisper pfe - bika5
This model is a fine-tuned version of openai/whisper-small.en on the pfedrax dataset. It achieves the following results on the evaluation set:
- Loss: 3.6101
- Model Preparation Time: 0.006
- Wer: 92.9204
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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
|---|---|---|---|---|---|
| 0.0001 | 83.3333 | 1000 | 3.5216 | 0.006 | 92.9204 |
| 0.0 | 166.6667 | 2000 | 3.6101 | 0.006 | 92.9204 |
Framework versions
- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
openai/whisper-small.en