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python ../../finetune_regression.py \
--n_batch 128 \
--n_layer 24 \
--n_head 16 \
--n_embd 1024 \
--max_len 202 \
--d_dropout 0.1 \
--dropout 0.1 \
--lr_start 3e-5 \
--lr_multiplier 1 \
--max_epochs 500 \
--num_feats 32 \
--smi_ted_version 'v2' \
--model_path '../' \
--ckpt_filename 'smi-ted-Large_11.pt' \
--data_root '../../moleculenet/qm9' \
--dataset_name qm9 \
--measure_name 'cv' \
--checkpoints_folder './checkpoints_QM9-cv' \
--loss_fn 'mae' \
--target_metric 'mae' \
--save_ckpt 1 \
--start_seed 0 \
--train_decoder 1 \ |