metadata
tags:
- whisper
- evaluation
- speech
- speech-to-text
Evaluation Results: whisper-small-english
Evaluation results from Whisper model evaluation.
Summary
| Model | WER | CER |
|---|---|---|
| leduckhai/MultiMed-ST/asr/whisper-small-english | 11.46% | 7.46% |
Source Data
- Evaluation Dataset: Trelis/multimed-hard
- Model Evaluated: leduckhai/MultiMed-ST/asr/whisper-small-english
Columns
| Column | Description |
|---|---|
audio |
Audio sample (if available from source dataset) |
reference |
Ground truth transcription |
prediction |
Model prediction |
wer |
Word Error Rate for this sample |
cer |
Character Error Rate for this sample |
| entities | Entity annotations from source dataset |
| entity_cer | Per-sample entity CER (-1.0 if no entities) |
Entity CER
Overall Entity CER: 15.96%
| Category | CER |
|---|---|
| anatomy | 11.49% |
| biomarker | 13.65% |
| condition | 16.28% |
| drug | 0.00% |
| organisation | 21.78% |
| procedure | 23.67% |
Generated by Trelis Studio