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View Code? Open in Web Editor NEWOfficial repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"
License: MIT License
Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"
License: MIT License
Hi there, I have ran the following command from run.sh, in an attempt to reproduce the results for roberta but I am facing discrepencie.
python main.py --learning-rate 1e-5 --weight-decay 0 --batch-size 3 --epochs 21 --log-interval 400 \
--grad-accum-steps 4 --model-type roberta --prefix 0524 --filename final --task ast
I am getting these results, which seem different from Roberta in Table 4 where Value is 73.1% instead o 53.9.
The second command in run.sh
: main.py --do-eval --quantify --model-type roberta --prefix 0524 --filename final --task ast
will rewrite the trained model checkpoint. Also it does not seem that the code has the ability to load a saved model.
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