8000 reporting error while trying to directly train Gtransformer on finetune datasets from scratch · Issue #5 · tencent-ailab/grover · GitHub
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reporting error while trying to directly train Gtransformer on finetune datasets from scratch #5

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zaixizhang opened this issue Apr 27, 2021 · 1 comment

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@zaixizhang
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Hi,

I find your work really interesting and I want to implement the codes myself. I want to see the performance of the Gtransformer without pretraining on bbbp. So I remove the check point path input.

python main.py finetune --data_path exampledata/finetune/bbbp.csv
--features_path exampledata/finetune/bbbp.npz
--save_dir model/finetune/bbbp/
--dataset_type classification
--split_type scaffold_balanced
--ensemble_size 1
--num_folds 3
--no_features_scaling
--ffn_hidden_size 200
--batch_size 32
--epochs 10
--init_lr 0.00015
However, it reports error:
image

@zaixizhang
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I changed args.undirected to False. Now the code runs successfully.

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