Comments (5)
I mean, the first epoch seems work well, but in the second epoch and during the mid time of the seonc batch like 4660/5033, my thread will be killed and the pycharm tips are like:"interrupted by signal 9: sigkill" I check my log in linux and it said cpu out of memory, But my main memory of linux is 64g, I think it might be enough. I don't know what causes this kind of error.
from cofced.
I think that the CPU memory is too small because we have to load many reports.
Have you tried loading a small portation of reports for each claim?
from cofced.
Thanks a lot for your generous help. I will star this project.
But I mean it's not the storage capacity 199g, it's main memory capacity 64g. So I revised the eval_exp_fc5 from report each claim=12->report_each_claim=6, and change the report _each_claim from 30 to 15 in train_exp_fc5_liar_raw2. But it seems still throw kill sig problem. But the difference is before I change the parameter, it would crash during training time but after I revised it, it would crash during evaluation time. But I just had changed the parameter of report_each_claim in evaluate_model func from eval_exp_fc5. So could you help me to figure it out?
from cofced.
Or in other words, how big of the required memory is?
from cofced.
Hi, @nievuelo . I can not figure it out with limited information, but you can try this code on the other machine with GPU 3090 because we have successfully tested it.
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Related Issues (10)
- About code HOT 3
- How the final explanations are generated? They seem not to be a simple stack of the selected sentences
- file not find HOT 1
- More details on how to run this code HOT 2
- A question about the training time and GPU HOT 2
- query regarding vocab_article_source.json HOT 3
- not found "vocab_article_source.json" error -> [Disable vocab_article_source] HOT 2
- I can't reproduce the experimental results in your paper HOT 1
- Disable "vocab_article_source.json" HOT 5
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