Training Evaluation: whisper-turbo-atc-1h
Evaluation results comparing base model vs fine-tuned model.
Summary
| Model | WER |
|---|---|
| openai/whisper-large-v3-turbo (base) | 66.77% |
| Trelis/whisper-turbo-atc-1h (fine-tuned) | 25.11% |
Improvement: 41.67% WER reduction (lower is better)
Source Data
- Evaluation Dataset: Trelis/atc-validation-v2
- Base Model: openai/whisper-large-v3-turbo
- Fine-tuned Model: Trelis/whisper-turbo-atc-1h
Columns
| Column | Description |
|---|---|
reference |
Ground truth transcription |
base_prediction |
Base model prediction |
base_wer |
Base model WER for this sample |
finetuned_prediction |
Fine-tuned model prediction |
finetuned_wer |
Fine-tuned model WER for this sample |
Generated by Trelis Studio
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