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nlp_rl's Introduction

NLP_RL

Use

  • Git clone the repo. Enter datasets folder and unzip all three files. Those files are the preprocessed data of NarrativeQA dataset for the code.
  • That just saved you 12 hours of pre-processing. :)
  • Run python3 train_span.py
  • Wait for everything to happen.

Safety points

  • Still don't know whether thr intra-attention function is correct or not. Check Issues in the original repo.
  • Multi-gpu code gives error. No clue. :(
  • If you have 12 hours to pass your time, do use prep codes with python 2 for preprocessing.
  • Still onto testing

Source

nlp_rl's People

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nlp_rl's Issues

Issues with the results.

I got the results as follows
Bleu1=4.75277632252139
Bleu4=0.0002252375950162494
Meteor=2.725085966130152
Rouge=20.281084140962612

Kindly help me out with this.

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