Trelis/eval-medasr-multimed-hard-20260408-1932
收藏Hugging Face2026-04-08 更新2026-04-12 收录
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---
tags:
- whisper
- evaluation
- speech
- speech-to-text
---
# Evaluation Results: medasr
Evaluation results from Whisper model evaluation.
## Summary
| Model | WER | CER |
|-------|-----|-----|
| [google/medasr](https://huggingface.co/google/medasr) | 29.17% | 15.76% |
## Source Data
- **Evaluation Dataset:** [Trelis/multimed-hard](https://huggingface.co/datasets/Trelis/multimed-hard)
- **Model Evaluated:** [google/medasr](https://huggingface.co/google/medasr)
## 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:** 27.79%
| Category | CER |
|----------|-----|
| anatomy | 28.94% |
| biomarker | 20.18% |
| condition | 30.90% |
| drug | 0.00% |
| organisation | 37.62% |
| procedure | 28.99% |
---
*Generated by [Trelis Studio](https://studio.trelis.com)*
提供机构：
Trelis
