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NLP_RL (Just a test trial)
Python 99.19%
Shell 0.81%
nlp_rl's Introduction
- 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.
- 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
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nlp_rl's Issues
I got the results as follows
Bleu1=4.75277632252139
Bleu4=0.0002252375950162494
Meteor=2.725085966130152
Rouge=20.281084140962612
Kindly help me out with this.