ChenRocks / ChenRocks/fast_abs_rl

Is there a way to obtain the summaries generated by abstractor during each train step

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Dominant language
Python
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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

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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

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