transformers pytorch pegasus text2text-generation summarization en dataset:mystic-leung/medical_cord19 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- mystic-leung/medical_cord19
language: en
pipeline_tag: summarization
tags:
- summarization
model-index:
- name: mystic-leung/pegasus-medcord19
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: medical_cord19
      type: medical_cord19
      split: train
    metrics:
    - type: rouge
      value: 0.46
      name: ROUGE-1
      verified: true
    - type: rouge
      value: 0.265
      name: ROUGE-2
      verified: true
    - type: mauve
      value: 0.622
      name: MAUVE
      verified: true
    - type: meteor
      value: 0.383
      name: METEOR
      verified: true
---

# Pegasus Models
Using the pre-trained model of pegasus-large fine-tuning on medical_cord19 dataset to get this model.


# Evaluation Metrics
The technical evaluation result can be seen here:
| ROUGE-1 | ROUGE-2 | METEOR | MAUVE|
| ----    | ----    | ----   | ---- |
| 0.46    | 0.265   | 0.622  | 0.383|
