Skip to content

Reproducing ZINC result with v2 #127

Open
@chjjma

Description

Hi,
First, thanks for the code.
I tried to reproduce the result of ZINC subset with graphormer v2 code, but my best validation loss was 0.178 with parameters in the given script with test loss 0.164, and 0.186 with parameters in the paper with test loss 0.157.
The latter script's code is as follows:

CUDA_VISIBLE_DEVICES=0 fairseq-train \
--user-dir ../../graphormer \
--num-workers 16 \
--ddp-backend=legacy_ddp \
--dataset-name zinc \
--dataset-source pyg \
--task graph_prediction \
--criterion l1_loss \
--arch graphormer_slim \
--num-classes 1 \
--attention-dropout 0.1 --act-dropout 0.1 --dropout 0.0 \
--optimizer adam --adam-betas '(0.9, 0.999)' --adam-eps 1e-8 --clip-norm 5.0 --weight-decay 0.01 \
--lr-scheduler polynomial_decay --power 1 --warmup-updates 40000 --total-num-update 400000 \
--lr 2e-4 --end-learning-rate 1e-9 \
--batch-size 256 \
--fp16 \
--data-buffer-size 20 \
--encoder-layers 12 \
--encoder-embed-dim 80 \
--encoder-ffn-embed-dim 80 \
--encoder-attention-heads 8 \
--max-epoch 10000 \
--keep-best-checkpoints 1 \
--save-dir ./ckpts

Thanks in advance.

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions