Trelis/eval-whisper-base-multimed-hard-20260408-1930
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---
tags:
- whisper
- evaluation
- speech
- speech-to-text
---
# Evaluation Results: whisper-base
Evaluation results from Whisper model evaluation.
## Summary
| Model | WER | CER |
|-------|-----|-----|
| [openai/whisper-base](https://huggingface.co/openai/whisper-base) | 22.14% | 15.64% |
## Source Data
- **Evaluation Dataset:** [Trelis/multimed-hard](https://huggingface.co/datasets/Trelis/multimed-hard)
- **Model Evaluated:** [openai/whisper-base](https://huggingface.co/openai/whisper-base)
## 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:** 37.90%
| Category | CER |
|----------|-----|
| anatomy | 46.81% |
| biomarker | 36.50% |
| condition | 33.40% |
| drug | 7.14% |
| organisation | 41.58% |
| procedure | 41.42% |
---
*Generated by [Trelis Studio](https://studio.trelis.com)*
提供机构：
Trelis
