Distill Whisper Call Center Compliance
This model is a fine-tuned version of lelapa/distill_whisper_call_center_en_merged on the www_compliance_tforge dataset. It achieves the following results on the evaluation set:
- Loss: 0.4876
- Wer: 4.8780
Model description
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Intended uses & limitations
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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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3767 | 1.7391 | 5 | 0.4992 | 4.8780 |
| 0.0633 | 3.4783 | 10 | 0.4876 | 4.8780 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.6.0
- Tokenizers 0.20.3
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Model tree for Luandrie/_Whisper_Compliance_en_cleaned_text_10steps
Base model
lelapa/distill_whisper_call_center_en_merged