ChenRocks / ChenRocks/fast_abs_rl
Is there a way to obtain the summaries generated by abstractor during each train step
- Dominant language
- Python
- Stars
- 624
- Forks
- 183
- PR merge metrics
- No merged PRs in 30d
Description
Hi developer,
Based on your model, the abstractor should be able to generate summaries, then together with ground truth summaries, the reward is calculated and fed to extractor.
So how could we get these generated summaries in each train step?
I do appreciate!
Contributor guide
No contributing guide indexed for this repository
Research direction
No file, test, or entry point is named. Start by locating the training step where the abstractor produces summaries and where rewards are calculated before being fed to the extractor. Done means establishing how those per-step generated summaries can be obtained, with the behavior verified in the training flow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100