[run] ogbg-molbace view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.62747 val_adapt_rocauc=0.63956 adapt_steps=5.64 halt=0.17 train_steps=4.09
ep20 val_rocauc=0.40916 val_adapt_rocauc=0.38755 adapt_steps=2.62 halt=0.15 train_steps=4.15
ep30 val_rocauc=0.45714 val_adapt_rocauc=0.49011 adapt_steps=5.73 halt=0.17 train_steps=4.04
ep40 val_rocauc=0.56740 val_adapt_rocauc=0.60037 adapt_steps=3.81 halt=0.24 train_steps=3.51
ep50 val_rocauc=0.43443 val_adapt_rocauc=0.43736 adapt_steps=4.63 halt=0.20 train_steps=3.57
ep60 val_rocauc=0.66557 val_adapt_rocauc=0.67289 adapt_steps=4.50 halt=0.22 train_steps=3.60
ep70 val_rocauc=0.65018 val_adapt_rocauc=0.65604 adapt_steps=4.30 halt=0.27 train_steps=3.14
ep80 val_rocauc=0.68022 val_adapt_rocauc=0.66520 adapt_steps=4.40 halt=0.30 train_steps=2.85
ep90 val_rocauc=0.67216 val_adapt_rocauc=0.67070 adapt_steps=4.48 halt=0.27 train_steps=3.13
ep100 val_rocauc=0.67582 val_adapt_rocauc=0.66447 adapt_steps=4.34 halt=0.30 train_steps=2.93
[ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.6802197802197802} test={'rocauc': 0.723526343244653} adaptive={'rocauc': 0.721961398017736} steps=3.473684210526316
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.58205 val_adapt_rocauc=0.58462 adapt_steps=7.00 halt=0.27 train_steps=3.01
ep20 val_rocauc=0.54835 val_adapt_rocauc=0.55495 adapt_steps=7.38 halt=0.13 train_steps=4.38
ep30 val_rocauc=0.64542 val_adapt_rocauc=0.57033 adapt_steps=4.30 halt=0.15 train_steps=4.25
ep40 val_rocauc=0.47033 val_adapt_rocauc=0.49597 adapt_steps=4.36 halt=0.18 train_steps=3.89
ep50 val_rocauc=0.57619 val_adapt_rocauc=0.55971 adapt_steps=4.50 halt=0.18 train_steps=3.77
ep60 val_rocauc=0.56593 val_adapt_rocauc=0.57143 adapt_steps=4.76 halt=0.24 train_steps=3.54
ep70 val_rocauc=0.68242 val_adapt_rocauc=0.69780 adapt_steps=3.98 halt=0.25 train_steps=3.42
ep80 val_rocauc=0.65897 val_adapt_rocauc=0.66081 adapt_steps=4.22 halt=0.26 train_steps=3.37
ep90 val_rocauc=0.63187 val_adapt_rocauc=0.63150 adapt_steps=4.58 halt=0.24 train_steps=3.38
ep100 val_rocauc=0.62381 val_adapt_rocauc=0.62637 adapt_steps=4.89 halt=0.25 train_steps=3.32
[ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.6824175824175824} test={'rocauc': 0.7718657624760911} adaptive={'rocauc': 0.7697791688402017} steps=3.1710526315789473
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.59927 val_adapt_rocauc=0.60696 adapt_steps=5.45 halt=0.21 train_steps=3.53
ep20 val_rocauc=0.61245 val_adapt_rocauc=0.60147 adapt_steps=4.89 halt=0.21 train_steps=3.54
ep30 val_rocauc=0.71941 val_adapt_rocauc=0.72015 adapt_steps=4.09 halt=0.24 train_steps=3.64
ep40 val_rocauc=0.66923 val_adapt_rocauc=0.67692 adapt_steps=4.70 halt=0.21 train_steps=3.73
ep50 val_rocauc=0.72015 val_adapt_rocauc=0.70220 adapt_steps=4.28 halt=0.27 train_steps=3.33
ep60 val_rocauc=0.66264 val_adapt_rocauc=0.67546 adapt_steps=4.85 halt=0.30 train_steps=2.94
ep70 val_rocauc=0.57619 val_adapt_rocauc=0.57766 adapt_steps=3.40 halt=0.29 train_steps=3.02
ep80 val_rocauc=0.60147 val_adapt_rocauc=0.61648 adapt_steps=3.09 halt=0.34 train_steps=2.52
ep90 val_rocauc=0.63480 val_adapt_rocauc=0.63773 adapt_steps=3.01 halt=0.37 train_steps=2.41
ep100 val_rocauc=0.63810 val_adapt_rocauc=0.63883 adapt_steps=2.89 halt=0.39 train_steps=2.20
[ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7201465201465201} test={'rocauc': 0.7483915840723353} adaptive={'rocauc': 0.7450878108155105} steps=3.960526315789474
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.57070 val_adapt_rocauc=0.60293 adapt_steps=5.37 halt=0.30 train_steps=2.89
ep20 val_rocauc=0.56520 val_adapt_rocauc=0.57692 adapt_steps=6.33 halt=0.20 train_steps=3.67
ep30 val_rocauc=0.59670 val_adapt_rocauc=0.60916 adapt_steps=3.97 halt=0.25 train_steps=3.37
ep40 val_rocauc=0.62564 val_adapt_rocauc=0.62454 adapt_steps=2.83 halt=0.30 train_steps=3.03
ep50 val_rocauc=0.69634 val_adapt_rocauc=0.69597 adapt_steps=4.89 halt=0.23 train_steps=3.60
ep60 val_rocauc=0.64286 val_adapt_rocauc=0.63480 adapt_steps=3.69 halt=0.26 train_steps=3.31
ep70 val_rocauc=0.70916 val_adapt_rocauc=0.71502 adapt_steps=4.54 halt=0.26 train_steps=3.45
ep80 val_rocauc=0.63626 val_adapt_rocauc=0.65897 adapt_steps=4.31 halt=0.28 train_steps=3.07
ep90 val_rocauc=0.64066 val_adapt_rocauc=0.63590 adapt_steps=3.86 halt=0.32 train_steps=2.74
ep100 val_rocauc=0.64066 val_adapt_rocauc=0.64835 adapt_steps=3.68 halt=0.30 train_steps=2.89
[ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.7091575091575092} test={'rocauc': 0.7821248478525474} adaptive={'rocauc': 0.7909928708050773} steps=3.75
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.68608 val_adapt_rocauc=0.68938 adapt_steps=7.89 halt=0.17 train_steps=3.74
ep20 val_rocauc=0.63260 val_adapt_rocauc=0.62674 adapt_steps=5.79 halt=0.21 train_steps=3.57
ep30 val_rocauc=0.61612 val_adapt_rocauc=0.64615 adapt_steps=5.33 halt=0.23 train_steps=3.07
ep40 val_rocauc=0.71319 val_adapt_rocauc=0.71978 adapt_steps=4.52 halt=0.23 train_steps=3.55
ep50 val_rocauc=0.66960 val_adapt_rocauc=0.65458 adapt_steps=5.34 halt=0.21 train_steps=3.69
ep60 val_rocauc=0.69927 val_adapt_rocauc=0.68571 adapt_steps=5.17 halt=0.21 train_steps=3.63
ep70 val_rocauc=0.63956 val_adapt_rocauc=0.64652 adapt_steps=4.17 halt=0.28 train_steps=3.24
ep80 val_rocauc=0.63333 val_adapt_rocauc=0.63260 adapt_steps=3.86 halt=0.26 train_steps=3.23
ep90 val_rocauc=0.64103 val_adapt_rocauc=0.65714 adapt_steps=2.97 halt=0.34 train_steps=2.71
ep100 val_rocauc=0.63297 val_adapt_rocauc=0.63773 adapt_steps=3.26 halt=0.32 train_steps=2.75
[ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.7131868131868132} test={'rocauc': 0.8261171970092158} adaptive={'rocauc': 0.8262910798122065} steps=4.006578947368421
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.56081 val_adapt_rocauc=0.58388 adapt_steps=6.43 halt=0.27 train_steps=3.07
ep20 val_rocauc=0.61245 val_adapt_rocauc=0.59780 adapt_steps=7.42 halt=0.18 train_steps=3.93
ep30 val_rocauc=0.69084 val_adapt_rocauc=0.69231 adapt_steps=5.89 halt=0.22 train_steps=3.39
ep40 val_rocauc=0.66154 val_adapt_rocauc=0.66520 adapt_steps=3.93 halt=0.21 train_steps=3.61
ep50 val_rocauc=0.57399 val_adapt_rocauc=0.60147 adapt_steps=3.54 halt=0.32 train_steps=2.79
ep60 val_rocauc=0.67546 val_adapt_rocauc=0.69011 adapt_steps=3.45 halt=0.30 train_steps=2.92
ep70 val_rocauc=0.61099 val_adapt_rocauc=0.62564 adapt_steps=3.86 halt=0.33 train_steps=2.69
ep80 val_rocauc=0.65275 val_adapt_rocauc=0.65458 adapt_steps=3.17 halt=0.37 train_steps=2.41
ep90 val_rocauc=0.66740 val_adapt_rocauc=0.66703 adapt_steps=3.09 halt=0.40 train_steps=2.22
ep100 val_rocauc=0.67766 val_adapt_rocauc=0.67875 adapt_steps=3.11 halt=0.36 train_steps=2.30
[ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.6908424908424909} test={'rocauc': 0.7475221700573813} adaptive={'rocauc': 0.7638671535385151} steps=4.276315789473684
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.63223 val_adapt_rocauc=0.64322 adapt_steps=6.61 halt=0.18 train_steps=3.96
ep20 val_rocauc=0.54066 val_adapt_rocauc=0.57179 adapt_steps=7.52 halt=0.18 train_steps=3.90
ep30 val_rocauc=0.51538 val_adapt_rocauc=0.54872 adapt_steps=3.85 halt=0.19 train_steps=3.74
ep40 val_rocauc=0.61978 val_adapt_rocauc=0.59597 adapt_steps=3.91 halt=0.24 train_steps=3.50
ep50 val_rocauc=0.57106 val_adapt_rocauc=0.58095 adapt_steps=3.20 halt=0.26 train_steps=3.27
ep60 val_rocauc=0.62967 val_adapt_rocauc=0.62747 adapt_steps=5.23 halt=0.28 train_steps=3.29
ep70 val_rocauc=0.61575 val_adapt_rocauc=0.62857 adapt_steps=3.82 halt=0.35 train_steps=2.50
ep80 val_rocauc=0.65348 val_adapt_rocauc=0.65385 adapt_steps=3.36 halt=0.37 train_steps=2.42
ep90 val_rocauc=0.64103 val_adapt_rocauc=0.63114 adapt_steps=3.39 halt=0.36 train_steps=2.45
ep100 val_rocauc=0.64396 val_adapt_rocauc=0.62784 adapt_steps=3.23 halt=0.37 train_steps=2.26
[ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.6534798534798535} test={'rocauc': 0.7191792731698834} adaptive={'rocauc': 0.729264475743349} steps=2.710526315789474
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep10 val_rocauc=0.59634 val_adapt_rocauc=0.59707 adapt_steps=7.95 halt=0.19 train_steps=3.73
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep20 val_rocauc=0.70952 val_adapt_rocauc=0.58462 adapt_steps=3.56 halt=0.17 train_steps=3.89
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep30 val_rocauc=0.62454 val_adapt_rocauc=0.62454 adapt_steps=7.94 halt=0.18 train_steps=3.65
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep40 val_rocauc=0.50879 val_adapt_rocauc=0.50623 adapt_steps=7.53 halt=0.13 train_steps=4.40
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep50 val_rocauc=0.51941 val_adapt_rocauc=0.51319 adapt_steps=6.01 halt=0.18 train_steps=3.86
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep60 val_rocauc=0.64579 val_adapt_rocauc=0.65238 adapt_steps=6.48 halt=0.18 train_steps=3.94
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep70 val_rocauc=0.64249 val_adapt_rocauc=0.63333 adapt_steps=4.91 halt=0.24 train_steps=3.31
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep80 val_rocauc=0.60293 val_adapt_rocauc=0.60806 adapt_steps=5.57 halt=0.22 train_steps=3.46
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep90 val_rocauc=0.61209 val_adapt_rocauc=0.60952 adapt_steps=5.67 halt=0.23 train_steps=3.43
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found
  warnings.warn(
ep100 val_rocauc=0.61465 val_adapt_rocauc=0.62491 adapt_steps=6.01 halt=0.23 train_steps=3.48
[ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=20 val={'rocauc': 0.7095238095238096} test={'rocauc': 0.7809076682316118} adaptive={'rocauc': 0.7337854286211093} steps=3.914473684210526
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.43187 val_adapt_rocauc=0.56960 adapt_steps=3.77 halt=0.20 train_steps=4.07
ep20 val_rocauc=0.58755 val_adapt_rocauc=0.58315 adapt_steps=6.03 halt=0.16 train_steps=4.18
ep30 val_rocauc=0.65165 val_adapt_rocauc=0.65201 adapt_steps=7.28 halt=0.17 train_steps=4.07
ep40 val_rocauc=0.56667 val_adapt_rocauc=0.56703 adapt_steps=7.34 halt=0.19 train_steps=3.89
ep50 val_rocauc=0.56703 val_adapt_rocauc=0.55275 adapt_steps=5.61 halt=0.21 train_steps=3.62
ep60 val_rocauc=0.65348 val_adapt_rocauc=0.64286 adapt_steps=4.45 halt=0.28 train_steps=3.22
ep70 val_rocauc=0.60403 val_adapt_rocauc=0.60623 adapt_steps=6.13 halt=0.20 train_steps=3.81
ep80 val_rocauc=0.61685 val_adapt_rocauc=0.62051 adapt_steps=4.32 halt=0.29 train_steps=2.95
ep90 val_rocauc=0.62308 val_adapt_rocauc=0.63223 adapt_steps=4.03 halt=0.32 train_steps=2.75
ep100 val_rocauc=0.63150 val_adapt_rocauc=0.64066 adapt_steps=3.91 halt=0.31 train_steps=2.88
[ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.6534798534798535} test={'rocauc': 0.6915319074943488} adaptive={'rocauc': 0.6788384628760215} steps=3.9802631578947367
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.62637 val_adapt_rocauc=0.61355 adapt_steps=6.25 halt=0.18 train_steps=3.97
ep20 val_rocauc=0.57436 val_adapt_rocauc=0.57473 adapt_steps=7.62 halt=0.14 train_steps=4.26
ep30 val_rocauc=0.54359 val_adapt_rocauc=0.56227 adapt_steps=6.98 halt=0.16 train_steps=4.10
ep40 val_rocauc=0.59689 val_adapt_rocauc=0.58095 adapt_steps=6.34 halt=0.17 train_steps=4.15
ep50 val_rocauc=0.61868 val_adapt_rocauc=0.61648 adapt_steps=7.64 halt=0.16 train_steps=4.16
ep60 val_rocauc=0.59634 val_adapt_rocauc=0.59890 adapt_steps=6.07 halt=0.19 train_steps=3.90
ep70 val_rocauc=0.64670 val_adapt_rocauc=0.64725 adapt_steps=6.14 halt=0.22 train_steps=3.54
ep80 val_rocauc=0.59744 val_adapt_rocauc=0.59359 adapt_steps=5.54 halt=0.22 train_steps=3.55
ep90 val_rocauc=0.63333 val_adapt_rocauc=0.63187 adapt_steps=5.75 halt=0.23 train_steps=3.63
ep100 val_rocauc=0.62381 val_adapt_rocauc=0.61703 adapt_steps=5.77 halt=0.24 train_steps=3.54
[ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.6467032967032967} test={'rocauc': 0.6802295252999478} adaptive={'rocauc': 0.6732742131803164} steps=5.256578947368421
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.61245 val_adapt_rocauc=0.64286 adapt_steps=7.03 halt=0.17 train_steps=3.93
ep20 val_rocauc=0.53004 val_adapt_rocauc=0.55201 adapt_steps=5.85 halt=0.25 train_steps=3.12
ep30 val_rocauc=0.69158 val_adapt_rocauc=0.65897 adapt_steps=3.81 halt=0.27 train_steps=3.13
ep40 val_rocauc=0.58132 val_adapt_rocauc=0.57509 adapt_steps=4.23 halt=0.26 train_steps=3.03
ep50 val_rocauc=0.73956 val_adapt_rocauc=0.72930 adapt_steps=4.14 halt=0.26 train_steps=3.32
ep60 val_rocauc=0.67766 val_adapt_rocauc=0.67253 adapt_steps=5.34 halt=0.25 train_steps=3.32
ep70 val_rocauc=0.72418 val_adapt_rocauc=0.72967 adapt_steps=3.80 halt=0.30 train_steps=2.96
ep80 val_rocauc=0.71062 val_adapt_rocauc=0.69963 adapt_steps=3.62 halt=0.28 train_steps=3.28
ep90 val_rocauc=0.71538 val_adapt_rocauc=0.71612 adapt_steps=3.32 halt=0.34 train_steps=2.66
ep100 val_rocauc=0.69963 val_adapt_rocauc=0.69670 adapt_steps=3.08 halt=0.33 train_steps=2.65
[ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7395604395604396} test={'rocauc': 0.7313510693792384} adaptive={'rocauc': 0.7617805599026256} steps=3.388157894736842
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.65641 val_adapt_rocauc=0.66630 adapt_steps=5.21 halt=0.15 train_steps=4.34
ep20 val_rocauc=0.54725 val_adapt_rocauc=0.53040 adapt_steps=4.77 halt=0.20 train_steps=3.52
ep30 val_rocauc=0.51172 val_adapt_rocauc=0.58132 adapt_steps=4.25 halt=0.18 train_steps=3.92
ep40 val_rocauc=0.52821 val_adapt_rocauc=0.54835 adapt_steps=2.84 halt=0.30 train_steps=2.92
ep50 val_rocauc=0.62088 val_adapt_rocauc=0.63736 adapt_steps=3.09 halt=0.32 train_steps=2.79
ep60 val_rocauc=0.70842 val_adapt_rocauc=0.69707 adapt_steps=2.97 halt=0.36 train_steps=2.52
ep70 val_rocauc=0.68938 val_adapt_rocauc=0.72711 adapt_steps=3.27 halt=0.35 train_steps=2.61
ep80 val_rocauc=0.63516 val_adapt_rocauc=0.66667 adapt_steps=2.93 halt=0.39 train_steps=2.19
ep90 val_rocauc=0.62894 val_adapt_rocauc=0.65861 adapt_steps=2.70 halt=0.39 train_steps=2.17
ep100 val_rocauc=0.62930 val_adapt_rocauc=0.66154 adapt_steps=2.59 halt=0.40 train_steps=2.06
[ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7084249084249085} test={'rocauc': 0.7960354720918101} adaptive={'rocauc': 0.7776038949747869} steps=2.5526315789473686
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.56667 val_adapt_rocauc=0.65934 adapt_steps=5.01 halt=0.16 train_steps=4.12
ep20 val_rocauc=0.62637 val_adapt_rocauc=0.63626 adapt_steps=5.57 halt=0.17 train_steps=4.08
ep30 val_rocauc=0.57985 val_adapt_rocauc=0.58498 adapt_steps=6.50 halt=0.21 train_steps=3.54
ep40 val_rocauc=0.64286 val_adapt_rocauc=0.64469 adapt_steps=6.27 halt=0.20 train_steps=3.71
ep50 val_rocauc=0.65678 val_adapt_rocauc=0.68791 adapt_steps=4.30 halt=0.25 train_steps=3.33
ep60 val_rocauc=0.66154 val_adapt_rocauc=0.66410 adapt_steps=3.97 halt=0.25 train_steps=3.40
ep70 val_rocauc=0.64799 val_adapt_rocauc=0.63223 adapt_steps=3.69 halt=0.27 train_steps=3.13
ep80 val_rocauc=0.63114 val_adapt_rocauc=0.62711 adapt_steps=4.02 halt=0.29 train_steps=3.02
ep90 val_rocauc=0.64103 val_adapt_rocauc=0.62125 adapt_steps=3.56 halt=0.31 train_steps=2.86
ep100 val_rocauc=0.63223 val_adapt_rocauc=0.61795 adapt_steps=3.49 halt=0.33 train_steps=2.77
[ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.6615384615384615} test={'rocauc': 0.7970787689097547} adaptive={'rocauc': 0.7988175969396626} steps=3.638157894736842
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.63846 val_adapt_rocauc=0.65495 adapt_steps=4.03 halt=0.18 train_steps=3.80
ep20 val_rocauc=0.67143 val_adapt_rocauc=0.69011 adapt_steps=4.54 halt=0.19 train_steps=3.98
ep30 val_rocauc=0.61245 val_adapt_rocauc=0.69084 adapt_steps=3.26 halt=0.28 train_steps=2.95
ep40 val_rocauc=0.59817 val_adapt_rocauc=0.60879 adapt_steps=3.16 halt=0.28 train_steps=3.20
ep50 val_rocauc=0.67729 val_adapt_rocauc=0.68498 adapt_steps=3.72 halt=0.33 train_steps=2.63
ep60 val_rocauc=0.65714 val_adapt_rocauc=0.68938 adapt_steps=3.75 halt=0.34 train_steps=2.55
ep70 val_rocauc=0.71648 val_adapt_rocauc=0.73810 adapt_steps=2.87 halt=0.41 train_steps=2.00
ep80 val_rocauc=0.70440 val_adapt_rocauc=0.70366 adapt_steps=2.56 halt=0.42 train_steps=2.02
ep90 val_rocauc=0.67656 val_adapt_rocauc=0.68315 adapt_steps=2.33 halt=0.46 train_steps=1.67
ep100 val_rocauc=0.67729 val_adapt_rocauc=0.68352 adapt_steps=2.35 halt=0.45 train_steps=1.70
[ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.7164835164835166} test={'rocauc': 0.8007303077725613} adaptive={'rocauc': 0.8120326899669622} steps=2.598684210526316
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.62711 val_adapt_rocauc=0.60293 adapt_steps=4.62 halt=0.25 train_steps=3.40
ep20 val_rocauc=0.68095 val_adapt_rocauc=0.63114 adapt_steps=4.19 halt=0.27 train_steps=3.04
ep30 val_rocauc=0.53516 val_adapt_rocauc=0.52125 adapt_steps=6.76 halt=0.21 train_steps=3.47
ep40 val_rocauc=0.72564 val_adapt_rocauc=0.74139 adapt_steps=4.15 halt=0.26 train_steps=3.14
ep50 val_rocauc=0.73553 val_adapt_rocauc=0.73480 adapt_steps=4.72 halt=0.26 train_steps=3.28
ep60 val_rocauc=0.68278 val_adapt_rocauc=0.61465 adapt_steps=3.82 halt=0.30 train_steps=2.82
ep70 val_rocauc=0.70659 val_adapt_rocauc=0.71245 adapt_steps=3.50 halt=0.34 train_steps=2.66
ep80 val_rocauc=0.69853 val_adapt_rocauc=0.68718 adapt_steps=3.68 halt=0.34 train_steps=2.53
ep90 val_rocauc=0.69597 val_adapt_rocauc=0.68901 adapt_steps=2.83 halt=0.40 train_steps=2.18
ep100 val_rocauc=0.68828 val_adapt_rocauc=0.67766 adapt_steps=2.85 halt=0.39 train_steps=2.21
[ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7355311355311356} test={'rocauc': 0.7450878108155102} adaptive={'rocauc': 0.7645626847504782} steps=4.375
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.74066 val_adapt_rocauc=0.75311 adapt_steps=6.21 halt=0.21 train_steps=3.61
ep20 val_rocauc=0.68388 val_adapt_rocauc=0.68755 adapt_steps=6.04 halt=0.22 train_steps=3.45
ep30 val_rocauc=0.77473 val_adapt_rocauc=0.74725 adapt_steps=5.03 halt=0.19 train_steps=3.88
ep40 val_rocauc=0.63260 val_adapt_rocauc=0.63773 adapt_steps=5.52 halt=0.26 train_steps=3.11
ep50 val_rocauc=0.62894 val_adapt_rocauc=0.63260 adapt_steps=3.91 halt=0.29 train_steps=2.98
ep60 val_rocauc=0.70586 val_adapt_rocauc=0.69927 adapt_steps=3.87 halt=0.29 train_steps=2.99
ep70 val_rocauc=0.67656 val_adapt_rocauc=0.67619 adapt_steps=3.77 halt=0.33 train_steps=2.76
ep80 val_rocauc=0.68022 val_adapt_rocauc=0.67326 adapt_steps=3.08 halt=0.33 train_steps=2.72
ep90 val_rocauc=0.67179 val_adapt_rocauc=0.66740 adapt_steps=2.82 halt=0.38 train_steps=2.33
ep100 val_rocauc=0.67949 val_adapt_rocauc=0.68205 adapt_steps=2.88 halt=0.39 train_steps=2.19
[ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.7747252747252747} test={'rocauc': 0.8019474873934969} adaptive={'rocauc': 0.7949921752738653} steps=4.980263157894737
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json
[run] ogbg-molbace view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0
python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0
ep10 val_rocauc=0.55678 val_adapt_rocauc=0.62051 adapt_steps=2.15 halt=0.39 train_steps=2.28
ep20 val_rocauc=0.68352 val_adapt_rocauc=0.65495 adapt_steps=2.36 halt=0.42 train_steps=1.96
ep30 val_rocauc=0.63700 val_adapt_rocauc=0.65092 adapt_steps=2.30 halt=0.44 train_steps=1.66
ep40 val_rocauc=0.61429 val_adapt_rocauc=0.60037 adapt_steps=2.01 halt=0.46 train_steps=1.65
ep50 val_rocauc=0.59414 val_adapt_rocauc=0.59011 adapt_steps=2.03 halt=0.47 train_steps=1.57
ep60 val_rocauc=0.61868 val_adapt_rocauc=0.59670 adapt_steps=2.00 halt=0.48 train_steps=1.59
ep70 val_rocauc=0.58901 val_adapt_rocauc=0.60256 adapt_steps=2.00 halt=0.47 train_steps=1.59
ep80 val_rocauc=0.56923 val_adapt_rocauc=0.58608 adapt_steps=2.00 halt=0.47 train_steps=1.62
ep90 val_rocauc=0.57839 val_adapt_rocauc=0.60183 adapt_steps=2.00 halt=0.48 train_steps=1.58
ep100 val_rocauc=0.58059 val_adapt_rocauc=0.60073 adapt_steps=2.00 halt=0.46 train_steps=1.60
[ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=20 val={'rocauc': 0.6835164835164835} test={'rocauc': 0.7118761954442705} adaptive={'rocauc': 0.7328290732046601} steps=2.1315789473684212
  wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json