Comments (6)
Hi,
Please provide more details:
- Which data did you use
- Which model did you use
- Did you trained the model yourself? If so, did you change any parameters from the default values?
- What is the problem?
from code2seq.
Hi, I used my own data on C projects and trained the model by myself. The best f1 seems to reach only 23% and the blue score is much slower.
from code2seq.
Sir, may I ask you a question what is the meaning of --max_path_length 8 --max_path_width 2 in your preprocess.sh
thanks very much
from code2seq.
You can try increasing the number of decoder layers (config.NUM_DECODER_LAYERS
) to 2 and their size ( config.DECODER_SIZE
) to 512 in the config file.
Adding more data always helps...
Regarding path length and width -
Please see the paragraph "Path length and width" in Section 4.2 in the PLDI paper
from code2seq.
sir, have you tested your method on large functions, the experimental results seem to be worse than small functions.
from code2seq.
Yes, please see Section 4.1, paragraph "Sensitivity to input length," in the code2seq paper.
from code2seq.
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from code2seq.