time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_1.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_2.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_3.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_4.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_5.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_6.pth saved with loss: 197062.375
Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 16.
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_1.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_2.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_3.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_4.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_5.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_6.pth saved with loss: 197062.375
Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 8.
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_1.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_2.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_3.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_4.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_5.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_6.pth saved with loss: 197062.375
Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 4.
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_1.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_2.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_3.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_4.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_5.pth saved with loss: 197062.375
time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_6.pth saved with loss: 197062.375
Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 2.
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_1.pth saved with loss: 192997.171875
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_2.pth saved with loss: 196373.40625
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_3.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_4.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_5.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_6.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_7.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_8.pth saved with loss: 196373.640625
Loss unchanged for 5 epochs at epoch 8. Terminating training for constant with learning rate 1.
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_1.pth saved with loss: 188662.65625
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_2.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_3.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_4.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_5.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_6.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_7.pth saved with loss: 196373.640625
Loss unchanged for 5 epochs at epoch 7. Terminating training for constant with learning rate 0.9.
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_1.pth saved with loss: 178371.703125
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_2.pth saved with loss: 196373.4375
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_3.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_4.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_5.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_6.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_7.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_8.pth saved with loss: 196373.640625
Loss unchanged for 5 epochs at epoch 8. Terminating training for constant with learning rate 0.8.
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_1.pth saved with loss: 165115.203125
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_2.pth saved with loss: 196340.71875
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_3.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_4.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_5.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_6.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_7.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_8.pth saved with loss: 196373.640625
Loss unchanged for 5 epochs at epoch 8. Terminating training for constant with learning rate 0.7.
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_1.pth saved with loss: 139986.984375
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_2.pth saved with loss: 195732.21875
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_3.pth saved with loss: 196348.1875
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_4.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_5.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_6.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_7.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_8.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_9.pth saved with loss: 196373.640625
Loss unchanged for 5 epochs at epoch 9. Terminating training for constant with learning rate 0.6.
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_1.pth saved with loss: 97624.71875
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_2.pth saved with loss: 193010.671875
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_3.pth saved with loss: 193945.328125
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_4.pth saved with loss: 184485.71875
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_5.pth saved with loss: 139493.53125
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_6.pth saved with loss: 74732.3828125
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_7.pth saved with loss: 81682.4296875
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_8.pth saved with loss: 27178.181640625
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_9.pth saved with loss: 9615.1865234375
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_10.pth saved with loss: 213.50404357910156
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_11.pth saved with loss: 27.556537628173828
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_15.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for constant with learning rate 0.5.
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_1.pth saved with loss: 36838.27734375
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_2.pth saved with loss: 44.573402404785156
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_3.pth saved with loss: 105924.5390625
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_4.pth saved with loss: 41.59011459350586
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_5.pth saved with loss: 36.11030578613281
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_6.pth saved with loss: 35.55046081542969
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_7.pth saved with loss: 37.81698989868164
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_8.pth saved with loss: 41.02517318725586
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_9.pth saved with loss: 42.91999053955078
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_10.pth saved with loss: 45.7131233215332
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_11.pth saved with loss: 41.85399627685547
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_12.pth saved with loss: 40.049232482910156
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_13.pth saved with loss: 38.6837043762207
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_14.pth saved with loss: 37.556556701660156
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_15.pth saved with loss: 36.00605773925781
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_16.pth saved with loss: 33.6727409362793
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_17.pth saved with loss: 31.685684204101562
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_18.pth saved with loss: 37.23391342163086
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_19.pth saved with loss: 37.71848678588867
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_20.pth saved with loss: 33.69709014892578
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_21.pth saved with loss: 31.826297760009766
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_22.pth saved with loss: 31.2726993560791
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_23.pth saved with loss: 31.138790130615234
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_24.pth saved with loss: 31.04647445678711
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_25.pth saved with loss: 30.865480422973633
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_26.pth saved with loss: 30.721553802490234
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_27.pth saved with loss: 30.514291763305664
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_28.pth saved with loss: 30.227590560913086
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_29.pth saved with loss: 29.922489166259766
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_30.pth saved with loss: 29.53095245361328
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_31.pth saved with loss: 29.23976707458496
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_32.pth saved with loss: 28.990644454956055
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_33.pth saved with loss: 28.765079498291016
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_34.pth saved with loss: 28.542724609375
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_35.pth saved with loss: 28.22769546508789
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_36.pth saved with loss: 27.828588485717773
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_37.pth saved with loss: 24.716533660888672
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_38.pth saved with loss: 25.0787410736084
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_39.pth saved with loss: nan
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_40.pth saved with loss: nan
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_41.pth saved with loss: nan
time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_42.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 43. Terminating training for constant with learning rate 0.4.
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_1.pth saved with loss: 2825.916259765625
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_2.pth saved with loss: 45.81127166748047
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_3.pth saved with loss: 167.4499053955078
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_4.pth saved with loss: 39.7562255859375
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_5.pth saved with loss: 31.285991668701172
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_6.pth saved with loss: 28.110328674316406
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_7.pth saved with loss: 26.23940086364746
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_8.pth saved with loss: 24.85036849975586
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_9.pth saved with loss: 23.69524383544922
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_10.pth saved with loss: 22.691848754882812
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_11.pth saved with loss: 21.820920944213867
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_12.pth saved with loss: 21.053966522216797
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_13.pth saved with loss: 20.368806838989258
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_14.pth saved with loss: 19.758020401000977
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_15.pth saved with loss: 19.222614288330078
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_16.pth saved with loss: 18.762393951416016
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_17.pth saved with loss: 18.373872756958008
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_18.pth saved with loss: 18.048959732055664
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_19.pth saved with loss: 17.780969619750977
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_20.pth saved with loss: 17.5612735748291
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_21.pth saved with loss: 17.3798828125
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_22.pth saved with loss: 17.223751068115234
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_23.pth saved with loss: 17.082439422607422
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_24.pth saved with loss: 64.6371078491211
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_25.pth saved with loss: 12853.6376953125
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_26.pth saved with loss: 29927.26953125
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_27.pth saved with loss: 35657.75
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_28.pth saved with loss: 40116.0234375
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_29.pth saved with loss: 43236.8984375
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_30.pth saved with loss: 43042.046875
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_31.pth saved with loss: 45883.66796875
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_32.pth saved with loss: 44355.76171875
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_33.pth saved with loss: 105720.296875
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_34.pth saved with loss: 185412.984375
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_35.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_36.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_37.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_38.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_39.pth saved with loss: 196373.640625
time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_40.pth saved with loss: 196373.640625
Loss unchanged for 5 epochs at epoch 40. Terminating training for constant with learning rate 0.3.
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_0.pth saved with loss: 1087.9490966796875
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_1.pth saved with loss: 1172.7674560546875
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_2.pth saved with loss: 100.25691986083984
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_3.pth saved with loss: 119402.2890625
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_4.pth saved with loss: 133.49362182617188
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_5.pth saved with loss: 59.150943756103516
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_6.pth saved with loss: 52.43195343017578
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_7.pth saved with loss: 54.74357223510742
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_8.pth saved with loss: 60.726932525634766
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_9.pth saved with loss: 63.98731231689453
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_10.pth saved with loss: 64.91996765136719
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_11.pth saved with loss: 63.94999313354492
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_12.pth saved with loss: 62.00520324707031
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_13.pth saved with loss: 58.6434440612793
time_weighting_learning_rate_sweep/constant/lr_0.250/controllers/controller_14.pth saved with loss: 53.395198822021484
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_1.pth saved with loss: 167107.078125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for linear with learning rate 16.
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Loss unchanged for 5 epochs at epoch 6. Terminating training for linear with learning rate 8.
time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_1.pth saved with loss: 167107.078125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for linear with learning rate 4.
time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_1.pth saved with loss: 167078.453125
time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_2.pth saved with loss: 4.431153297424316
time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for linear with learning rate 2.
time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_1.pth saved with loss: 160731.71875
time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_2.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_7.pth saved with loss: 166574.5
Loss unchanged for 5 epochs at epoch 7. Terminating training for linear with learning rate 1.
time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_1.pth saved with loss: 155680.65625
time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_2.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_4.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_7.pth saved with loss: 166574.5
Loss unchanged for 5 epochs at epoch 7. Terminating training for linear with learning rate 0.9.
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_1.pth saved with loss: 143977.234375
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_2.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_3.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_4.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_5.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_6.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_7.pth saved with loss: 166574.5
Loss unchanged for 5 epochs at epoch 7. Terminating training for linear with learning rate 0.8.
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_1.pth saved with loss: 126080.2109375
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_2.pth saved with loss: 166556.671875
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_3.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_4.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_5.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_6.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_7.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_8.pth saved with loss: 166574.5
Loss unchanged for 5 epochs at epoch 8. Terminating training for linear with learning rate 0.7.
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_1.pth saved with loss: 84248.1796875
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_2.pth saved with loss: 166294.21875
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_3.pth saved with loss: 166571.734375
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_4.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_5.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_6.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_7.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_8.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_9.pth saved with loss: 166574.5
Loss unchanged for 5 epochs at epoch 9. Terminating training for linear with learning rate 0.6.
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_1.pth saved with loss: 29826.1875
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_2.pth saved with loss: 162240.03125
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_3.pth saved with loss: 136354.84375
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_4.pth saved with loss: 46661.79296875
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_5.pth saved with loss: 1070.3817138671875
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_6.pth saved with loss: 70.7809066772461
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_7.pth saved with loss: 41.843894958496094
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_8.pth saved with loss: 36.959983825683594
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_9.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_10.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_12.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 13. Terminating training for linear with learning rate 0.5.
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_1.pth saved with loss: 1922.4442138671875
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_2.pth saved with loss: 20.176345825195312
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_3.pth saved with loss: 19.76601791381836
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_4.pth saved with loss: 18.43532943725586
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_5.pth saved with loss: 15.609777450561523
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_6.pth saved with loss: 18.27033233642578
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_7.pth saved with loss: 16.567707061767578
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_8.pth saved with loss: 15.500636100769043
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_9.pth saved with loss: 13.74911117553711
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_10.pth saved with loss: 12.890634536743164
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_11.pth saved with loss: 12.645033836364746
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_15.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for linear with learning rate 0.4.
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_1.pth saved with loss: 352.04669189453125
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_2.pth saved with loss: 20.37812042236328
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_3.pth saved with loss: 22.809329986572266
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_4.pth saved with loss: 23.577417373657227
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_5.pth saved with loss: 23.361003875732422
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_6.pth saved with loss: 22.81104850769043
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_7.pth saved with loss: 22.046096801757812
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_8.pth saved with loss: 21.20140838623047
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_9.pth saved with loss: 20.28021812438965
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_10.pth saved with loss: 19.286937713623047
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_11.pth saved with loss: 18.248350143432617
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_12.pth saved with loss: 17.288070678710938
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_13.pth saved with loss: 16.395339965820312
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_14.pth saved with loss: 15.574531555175781
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_15.pth saved with loss: 14.808667182922363
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_16.pth saved with loss: 11.599696159362793
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_17.pth saved with loss: 11.070761680603027
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_18.pth saved with loss: 2104.847900390625
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_19.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_20.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_21.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_22.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_23.pth saved with loss: 166574.5
time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_24.pth saved with loss: 166574.5
Loss unchanged for 5 epochs at epoch 24. Terminating training for linear with learning rate 0.3.
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_1.pth saved with loss: 292.2798156738281
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_2.pth saved with loss: 18.3397216796875
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_3.pth saved with loss: 19.458616256713867
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_4.pth saved with loss: 17.356569290161133
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_5.pth saved with loss: 16.059816360473633
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_6.pth saved with loss: 14.426283836364746
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_7.pth saved with loss: 12.212666511535645
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_8.pth saved with loss: 10.338387489318848
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_9.pth saved with loss: 8.988585472106934
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_10.pth saved with loss: 7.937220096588135
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_11.pth saved with loss: 7.315408229827881
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_12.pth saved with loss: 6.946380138397217
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_13.pth saved with loss: 6.646531105041504
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_14.pth saved with loss: 6.2454657554626465
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_15.pth saved with loss: 5.704675197601318
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_16.pth saved with loss: 5.099422454833984
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_17.pth saved with loss: 4.533779621124268
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_18.pth saved with loss: 4.046952247619629
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_19.pth saved with loss: 3.643604040145874
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_20.pth saved with loss: 3.290754556655884
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_21.pth saved with loss: 2.987203598022461
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_22.pth saved with loss: 2.7202653884887695
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_23.pth saved with loss: 2.4763214588165283
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_24.pth saved with loss: 2.240776300430298
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_25.pth saved with loss: 2.0144262313842773
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_26.pth saved with loss: 1.7974112033843994
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_27.pth saved with loss: 1.5917688608169556
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_28.pth saved with loss: 1.4026336669921875
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_29.pth saved with loss: 1.2382076978683472
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_30.pth saved with loss: 1.0937665700912476
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_31.pth saved with loss: 0.9645845293998718
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_32.pth saved with loss: 0.8514353632926941
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_33.pth saved with loss: 0.7539744973182678
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_34.pth saved with loss: 0.6697495579719543
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_35.pth saved with loss: 0.5974939465522766
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_36.pth saved with loss: 0.5368427038192749
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_37.pth saved with loss: 0.48736146092414856
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_38.pth saved with loss: 0.4483185410499573
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_39.pth saved with loss: 0.4191522002220154
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_40.pth saved with loss: 0.3988633155822754
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_41.pth saved with loss: 0.3859093487262726
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_42.pth saved with loss: 0.37941157817840576
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_43.pth saved with loss: 0.3787138760089874
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_44.pth saved with loss: 0.37590670585632324
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_45.pth saved with loss: 0.3739044666290283
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_46.pth saved with loss: 0.5653774738311768
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_47.pth saved with loss: 0.7424663305282593
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_48.pth saved with loss: 14.425512313842773
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_49.pth saved with loss: 190.6630401611328
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_50.pth saved with loss: 1066.1842041015625
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_51.pth saved with loss: 229.60406494140625
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_52.pth saved with loss: 36.52690887451172
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_53.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_54.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_55.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear/lr_0.250/controllers/controller_56.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 57. Terminating training for linear with learning rate 0.25.
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_0.pth saved with loss: 848.658935546875
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_1.pth saved with loss: 241.42697143554688
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_2.pth saved with loss: 31.105365753173828
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_3.pth saved with loss: 44.58345031738281
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_4.pth saved with loss: 906.2789306640625
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_5.pth saved with loss: 16.477094650268555
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_6.pth saved with loss: 12.544605255126953
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_7.pth saved with loss: 12.428547859191895
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_8.pth saved with loss: 13.041348457336426
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_9.pth saved with loss: 12.97156810760498
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_10.pth saved with loss: 12.556950569152832
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_11.pth saved with loss: 11.979304313659668
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_12.pth saved with loss: 11.292213439941406
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_13.pth saved with loss: 10.554747581481934
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_14.pth saved with loss: 9.808772087097168
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_15.pth saved with loss: 9.110712051391602
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_16.pth saved with loss: 8.487351417541504
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_17.pth saved with loss: 7.944581031799316
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_18.pth saved with loss: 7.467973709106445
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_19.pth saved with loss: 7.005588054656982
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_20.pth saved with loss: 6.572394371032715
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_21.pth saved with loss: 6.166067600250244
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_22.pth saved with loss: 5.781716346740723
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_23.pth saved with loss: 5.411543369293213
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_24.pth saved with loss: 5.055382251739502
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_25.pth saved with loss: 4.709681510925293
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_26.pth saved with loss: 4.3810625076293945
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_27.pth saved with loss: 4.071853160858154
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_28.pth saved with loss: 3.7815723419189453
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_29.pth saved with loss: 3.5095624923706055
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_30.pth saved with loss: 3.255587339401245
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_31.pth saved with loss: 3.020904064178467
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_32.pth saved with loss: 2.8011860847473145
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_33.pth saved with loss: 2.595519542694092
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_34.pth saved with loss: 2.4032905101776123
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_35.pth saved with loss: 2.2239577770233154
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_36.pth saved with loss: 2.0572237968444824
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_37.pth saved with loss: 1.9027714729309082
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_38.pth saved with loss: 1.760204553604126
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_39.pth saved with loss: 1.628983974456787
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_40.pth saved with loss: 1.5086711645126343
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_41.pth saved with loss: 1.3989187479019165
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_42.pth saved with loss: 1.2987855672836304
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_43.pth saved with loss: 1.2076818943023682
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_44.pth saved with loss: 1.1248973608016968
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_45.pth saved with loss: 1.0501514673233032
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_46.pth saved with loss: 0.9828110933303833
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_47.pth saved with loss: 0.922360360622406
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_48.pth saved with loss: 0.8681997656822205
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_49.pth saved with loss: 0.8199650049209595
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_50.pth saved with loss: 0.7775169610977173
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_51.pth saved with loss: 0.7403843998908997
time_weighting_learning_rate_sweep/linear/lr_0.200/controllers/controller_52.pth saved with loss: 0.708111047744751
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time_weighting_learning_rate_sweep/linear/lr_0.010/controllers/controller_198.pth saved with loss: 26.01095962524414
time_weighting_learning_rate_sweep/linear/lr_0.010/controllers/controller_199.pth saved with loss: 25.970462799072266
time_weighting_learning_rate_sweep/linear/lr_0.010/controllers/controller_200.pth saved with loss: 25.939260482788086
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_1.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_2.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_3.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_4.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_5.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_6.pth saved with loss: 145091.796875
Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic with learning rate 16.
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_1.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_2.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_3.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_4.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_5.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_6.pth saved with loss: 145091.796875
Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic with learning rate 8.
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_1.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_2.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_3.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_4.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_5.pth saved with loss: 145091.796875
time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_6.pth saved with loss: 145091.796875
Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic with learning rate 4.
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_1.pth saved with loss: 145084.8125
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_2.pth saved with loss: 13.705998420715332
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 2.
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_1.pth saved with loss: 139899.875
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_2.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_3.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_4.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_5.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_6.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_7.pth saved with loss: 144657.609375
Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 1.
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_1.pth saved with loss: 135553.328125
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_2.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_3.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_4.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_5.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_6.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_7.pth saved with loss: 144657.609375
Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 0.9.
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_1.pth saved with loss: 125504.2109375
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_2.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_3.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_4.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_5.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_6.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_7.pth saved with loss: 144657.609375
Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 0.8.
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_1.pth saved with loss: 109735.6328125
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_2.pth saved with loss: 144648.0625
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_3.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_4.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_5.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_6.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_7.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_8.pth saved with loss: 144657.609375
Loss unchanged for 5 epochs at epoch 8. Terminating training for quadratic with learning rate 0.7.
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_1.pth saved with loss: 74336.546875
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_2.pth saved with loss: 144468.65625
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_3.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_4.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_5.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_6.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_7.pth saved with loss: 144657.609375
time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_8.pth saved with loss: 144657.609375
Loss unchanged for 5 epochs at epoch 8. Terminating training for quadratic with learning rate 0.6.
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_1.pth saved with loss: 28110.3125
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_2.pth saved with loss: 141606.625
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_3.pth saved with loss: 126754.5625
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_4.pth saved with loss: 61593.7578125
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_5.pth saved with loss: 3658.652099609375
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_6.pth saved with loss: 16.84434700012207
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_7.pth saved with loss: 17.455270767211914
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_8.pth saved with loss: 18.87449836730957
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_9.pth saved with loss: 19.832551956176758
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_10.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_13.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for quadratic with learning rate 0.5.
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_0.pth saved with loss: 698.05126953125
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_1.pth saved with loss: 2139.2958984375
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_2.pth saved with loss: 15.871360778808594
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_3.pth saved with loss: 15.040173530578613
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_4.pth saved with loss: 30.151010513305664
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_5.pth saved with loss: 13.41573715209961
time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_6.pth saved with loss: 15.126680374145508
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_54.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 58. Terminating training for quadratic with learning rate 0.4.
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Loss unchanged for 5 epochs at epoch 24. Terminating training for quadratic with learning rate 0.3.
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic with learning rate 16.
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic with learning rate 8.
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic with learning rate 4.
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic with learning rate 2.
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic with learning rate 1.
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic with learning rate 0.9.
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic with learning rate 0.8.
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Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic with learning rate 0.7.
time_weighting_learning_rate_sweep/cubic/lr_0.600/controllers/controller_0.pth saved with loss: 593.6863403320312
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Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic with learning rate 0.6.
time_weighting_learning_rate_sweep/cubic/lr_0.500/controllers/controller_0.pth saved with loss: 593.6863403320312
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Loss unchanged for 5 epochs at epoch 118. Terminating training for cubic with learning rate 0.5.
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_0.pth saved with loss: 593.6863403320312
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_1.pth saved with loss: 5422.8564453125
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time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_7.pth saved with loss: 14.18200969696045
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_8.pth saved with loss: 15.17587947845459
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_9.pth saved with loss: 15.950647354125977
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_10.pth saved with loss: 16.586803436279297
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_11.pth saved with loss: 17.14067840576172
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_12.pth saved with loss: 17.609283447265625
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_15.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic/lr_0.400/controllers/controller_16.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 17. Terminating training for cubic with learning rate 0.4.
time_weighting_learning_rate_sweep/cubic/lr_0.300/controllers/controller_0.pth saved with loss: 593.6863403320312
time_weighting_learning_rate_sweep/cubic/lr_0.300/controllers/controller_1.pth saved with loss: 492.01617431640625
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time_weighting_learning_rate_sweep/cubic/lr_0.010/controllers/controller_200.pth saved with loss: 25.61774444580078
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_1.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_2.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_3.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_4.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_5.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_6.pth saved with loss: 180847.984375
Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root with learning rate 16.
time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_1.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_2.pth saved with loss: 180847.984375
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time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_4.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_5.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_6.pth saved with loss: 180847.984375
Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root with learning rate 8.
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_1.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_2.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_3.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_4.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_5.pth saved with loss: 180847.984375
time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_6.pth saved with loss: 180847.984375
Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root with learning rate 4.
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_1.pth saved with loss: 180823.40625
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_2.pth saved with loss: 4.7152228355407715
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for square_root with learning rate 2.
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_1.pth saved with loss: 174278.984375
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_2.pth saved with loss: 180131.53125
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_3.pth saved with loss: 6776.32275390625
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_4.pth saved with loss: 39.34663009643555
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_6.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_7.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_8.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 9. Terminating training for square_root with learning rate 1.
time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_1.pth saved with loss: 168813.796875
time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_2.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_3.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_4.pth saved with loss: 180247.296875
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time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_7.pth saved with loss: 180247.296875
Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root with learning rate 0.9.
time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_1.pth saved with loss: 156804.171875
time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_2.pth saved with loss: 180247.296875
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time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_4.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_5.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_6.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_7.pth saved with loss: 180247.296875
Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root with learning rate 0.8.
time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_1.pth saved with loss: 138292.75
time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_2.pth saved with loss: 180206.421875
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time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_5.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_6.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_7.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_8.pth saved with loss: 180247.296875
Loss unchanged for 5 epochs at epoch 8. Terminating training for square_root with learning rate 0.7.
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_1.pth saved with loss: 100543.7890625
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_2.pth saved with loss: 179767.90625
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_3.pth saved with loss: 180204.53125
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_4.pth saved with loss: 180242.65625
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_5.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_6.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_7.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_8.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_9.pth saved with loss: 180247.296875
time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_10.pth saved with loss: 180247.296875
Loss unchanged for 5 epochs at epoch 10. Terminating training for square_root with learning rate 0.6.
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_1.pth saved with loss: 45308.96484375
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_2.pth saved with loss: 176048.1875
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_3.pth saved with loss: 157038.296875
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_4.pth saved with loss: 77062.03125
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_5.pth saved with loss: 4471.66650390625
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_6.pth saved with loss: 42.77729415893555
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_7.pth saved with loss: 28.205411911010742
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_8.pth saved with loss: 27.80960464477539
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_9.pth saved with loss: 27.591005325317383
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_10.pth saved with loss: 35.59136199951172
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_14.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for square_root with learning rate 0.5.
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_0.pth saved with loss: 952.5866088867188
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_1.pth saved with loss: 4060.378662109375
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_2.pth saved with loss: 33.085716247558594
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_3.pth saved with loss: 36.91214370727539
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_4.pth saved with loss: 33.73778533935547
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_5.pth saved with loss: 40.400142669677734
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_6.pth saved with loss: 22.30826187133789
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_7.pth saved with loss: 22.49983787536621
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_8.pth saved with loss: 22.807147979736328
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_9.pth saved with loss: 22.685630798339844
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_10.pth saved with loss: 22.29779052734375
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_11.pth saved with loss: 21.78571319580078
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_12.pth saved with loss: 21.20783042907715
time_weighting_learning_rate_sweep/square_root/lr_0.400/controllers/controller_13.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 17. Terminating training for square_root with learning rate 0.4.
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Consecutive NaN detected for 5 epochs at epoch 34. Terminating training for square_root with learning rate 0.3.
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time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_1.pth saved with loss: 185947.046875
time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_2.pth saved with loss: 185947.046875
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time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_6.pth saved with loss: 185947.046875
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root with learning rate 16.
time_weighting_learning_rate_sweep/cubic_root/lr_8.000/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_8.000/controllers/controller_1.pth saved with loss: 185947.046875
time_weighting_learning_rate_sweep/cubic_root/lr_8.000/controllers/controller_2.pth saved with loss: 185947.046875
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time_weighting_learning_rate_sweep/cubic_root/lr_8.000/controllers/controller_6.pth saved with loss: 185947.046875
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root with learning rate 8.
time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_1.pth saved with loss: 185947.046875
time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_2.pth saved with loss: 185947.046875
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time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_6.pth saved with loss: 185947.046875
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root with learning rate 4.
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_1.pth saved with loss: 185857.34375
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_2.pth saved with loss: 5.012078762054443
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 2.
time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_1.pth saved with loss: 176661.546875
time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_2.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_4.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_6.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_7.pth saved with loss: 185319.609375
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 1.
time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_1.pth saved with loss: 169302.75
time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_2.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_6.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_7.pth saved with loss: 185319.609375
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 0.9.
time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_1.pth saved with loss: 156535.015625
time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_2.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_4.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_7.pth saved with loss: 185319.609375
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 0.8.
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_1.pth saved with loss: 136868.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_2.pth saved with loss: 185308.875
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_4.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_5.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_6.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_7.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_8.pth saved with loss: 185319.609375
Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic_root with learning rate 0.7.
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_1.pth saved with loss: 99731.953125
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_2.pth saved with loss: 184977.625
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_3.pth saved with loss: 185303.015625
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_4.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_5.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_6.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_7.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_8.pth saved with loss: 185319.609375
time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_9.pth saved with loss: 185319.609375
Loss unchanged for 5 epochs at epoch 9. Terminating training for cubic_root with learning rate 0.6.
time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_0.pth saved with loss: 993.4888305664062
time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_1.pth saved with loss: 45421.4765625
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Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for cubic_root with learning rate 0.5.
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Consecutive NaN detected for 5 epochs at epoch 150. Terminating training for cubic_root with learning rate 0.4.
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Consecutive NaN detected for 5 epochs at epoch 23. Terminating training for cubic_root with learning rate 0.3.
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time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_3.pth saved with loss: 2399.245361328125
time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_4.pth saved with loss: 2399.245361328125
time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_5.pth saved with loss: 2399.245361328125
time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_6.pth saved with loss: 2399.245361328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse with learning rate 4.
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_1.pth saved with loss: 2398.761474609375
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_2.pth saved with loss: 5.0204572677612305
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse with learning rate 2.
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_1.pth saved with loss: 2286.216064453125
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_2.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_3.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_4.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_5.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_6.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_7.pth saved with loss: 2389.562255859375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse with learning rate 1.
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_1.pth saved with loss: 2200.873291015625
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_2.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_3.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_4.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_5.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_6.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_7.pth saved with loss: 2389.562255859375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse with learning rate 0.9.
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_1.pth saved with loss: 2046.8402099609375
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_2.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_3.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_4.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_5.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_6.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_7.pth saved with loss: 2389.562255859375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse with learning rate 0.8.
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_1.pth saved with loss: 1817.6221923828125
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_2.pth saved with loss: 2389.271728515625
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_3.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_4.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_5.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_6.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_7.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_8.pth saved with loss: 2389.562255859375
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse with learning rate 0.7.
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_1.pth saved with loss: 1352.3265380859375
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_2.pth saved with loss: 2383.4765625
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_3.pth saved with loss: 2389.241455078125
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_4.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_5.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_6.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_7.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_8.pth saved with loss: 2389.562255859375
time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_9.pth saved with loss: 2389.562255859375
Loss unchanged for 5 epochs at epoch 9. Terminating training for inverse with learning rate 0.6.
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_1.pth saved with loss: 686.8750610351562
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_2.pth saved with loss: 2339.684814453125
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_3.pth saved with loss: 2294.93115234375
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_4.pth saved with loss: 1737.578369140625
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_5.pth saved with loss: 795.0547485351562
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_6.pth saved with loss: 72.47624206542969
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_7.pth saved with loss: 4.031853199005127
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_8.pth saved with loss: 1.4220737218856812
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_9.pth saved with loss: 1.207348346710205
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_10.pth saved with loss: 1.1726288795471191
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_11.pth saved with loss: 1.1506325006484985
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_15.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for inverse with learning rate 0.5.
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_0.pth saved with loss: 15.663372039794922
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_1.pth saved with loss: 123.9660873413086
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_2.pth saved with loss: 1.7883206605911255
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_3.pth saved with loss: 1.941957950592041
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_4.pth saved with loss: 2.667868137359619
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_5.pth saved with loss: 1.3499913215637207
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_6.pth saved with loss: 1.3162555694580078
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_7.pth saved with loss: 1.2820606231689453
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_8.pth saved with loss: 1.248679518699646
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_9.pth saved with loss: 1.21902334690094
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_10.pth saved with loss: 1.1914639472961426
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_11.pth saved with loss: 1.1656776666641235
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_12.pth saved with loss: 1.1418938636779785
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_13.pth saved with loss: 1.119570255279541
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_14.pth saved with loss: 1.0167979001998901
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_15.pth saved with loss: 0.9376616477966309
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_16.pth saved with loss: 0.87749183177948
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_17.pth saved with loss: 0.8373358249664307
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_18.pth saved with loss: 0.8196196556091309
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_19.pth saved with loss: 0.824779748916626
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_20.pth saved with loss: 0.8434734344482422
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_21.pth saved with loss: 0.8652281761169434
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_22.pth saved with loss: 0.8806150555610657
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_23.pth saved with loss: 0.8704774379730225
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_24.pth saved with loss: 0.8330709934234619
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_25.pth saved with loss: 0.9270583987236023
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_26.pth saved with loss: 0.7829014658927917
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_27.pth saved with loss: 0.6919918060302734
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_28.pth saved with loss: 0.7304421663284302
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_29.pth saved with loss: 0.7341864705085754
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_31.pth saved with loss: 0.8655474185943604
time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_32.pth saved with loss: 0.9191471934318542
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_198.pth saved with loss: 0.7061402797698975
time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_199.pth saved with loss: 0.703540027141571
time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_200.pth saved with loss: 0.7007264494895935
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_1.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_2.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_3.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_4.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_5.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_6.pth saved with loss: 2876.520751953125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared with learning rate 16.
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_1.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_2.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_3.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_4.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_5.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_6.pth saved with loss: 2876.520751953125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared with learning rate 8.
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_1.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_2.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_3.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_4.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_5.pth saved with loss: 2876.520751953125
time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_6.pth saved with loss: 2876.520751953125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared with learning rate 4.
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_1.pth saved with loss: 2876.136474609375
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_2.pth saved with loss: 863.2739868164062
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 2.
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_1.pth saved with loss: 2781.8369140625
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_2.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_3.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_4.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_5.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_6.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_7.pth saved with loss: 2863.095947265625
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 1.
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_1.pth saved with loss: 2700.2294921875
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_2.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_3.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_4.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_5.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_6.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_7.pth saved with loss: 2863.095947265625
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 0.9.
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_1.pth saved with loss: 2542.299072265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_2.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_3.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_4.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_5.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_6.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_7.pth saved with loss: 2863.095947265625
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 0.8.
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_1.pth saved with loss: 2322.204833984375
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_2.pth saved with loss: 2862.691162109375
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_3.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_4.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_5.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_6.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_7.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_8.pth saved with loss: 2863.095947265625
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_squared with learning rate 0.7.
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_1.pth saved with loss: 1866.0623779296875
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_2.pth saved with loss: 2856.182373046875
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_3.pth saved with loss: 2862.6337890625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_4.pth saved with loss: 2863.06884765625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_5.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_6.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_7.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_8.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_9.pth saved with loss: 2863.095947265625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_10.pth saved with loss: 2863.095947265625
Loss unchanged for 5 epochs at epoch 10. Terminating training for inverse_squared with learning rate 0.6.
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_1.pth saved with loss: 1085.288330078125
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_2.pth saved with loss: 2798.412841796875
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_3.pth saved with loss: 2752.143798828125
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_4.pth saved with loss: 2073.35791015625
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_5.pth saved with loss: 905.2445678710938
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_6.pth saved with loss: 119.20957946777344
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_7.pth saved with loss: 9.75479507446289
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_8.pth saved with loss: 3.494941473007202
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_9.pth saved with loss: 2.6711666584014893
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_10.pth saved with loss: 2.4652559757232666
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_11.pth saved with loss: 2.3907082080841064
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_15.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for inverse_squared with learning rate 0.5.
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_0.pth saved with loss: 22.095075607299805
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_1.pth saved with loss: 288.4366760253906
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_2.pth saved with loss: 3.3472957611083984
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_3.pth saved with loss: 3.7400496006011963
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_4.pth saved with loss: 4.651937484741211
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_5.pth saved with loss: 2.741330146789551
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_6.pth saved with loss: 2.601053237915039
time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_7.pth saved with loss: 2.5424985885620117
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Consecutive NaN detected for 5 epochs at epoch 17. Terminating training for inverse_squared with learning rate 0.4.
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Consecutive NaN detected for 5 epochs at epoch 32. Terminating training for inverse_squared with learning rate 0.3.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_1.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_2.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_3.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_4.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_5.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_16.000/controllers/controller_6.pth saved with loss: 3258.946533203125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed with learning rate 16.
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_1.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_2.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_3.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_4.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_5.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_6.pth saved with loss: 3258.946533203125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed with learning rate 8.
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_1.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_2.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_3.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_4.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_5.pth saved with loss: 3258.946533203125
time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_6.pth saved with loss: 3258.946533203125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed with learning rate 4.
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_1.pth saved with loss: 3258.858154296875
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_2.pth saved with loss: 296.68267822265625
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 2.
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_1.pth saved with loss: 3140.62646484375
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_2.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_3.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_4.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_5.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_6.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_7.pth saved with loss: 3242.41162109375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 1.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_1.pth saved with loss: 3038.469970703125
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_2.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_3.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_4.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_5.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_6.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_7.pth saved with loss: 3242.41162109375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 0.9.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_1.pth saved with loss: 2841.9189453125
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_2.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_3.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_4.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_5.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_6.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_7.pth saved with loss: 3242.41162109375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 0.8.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_1.pth saved with loss: 2545.7900390625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_2.pth saved with loss: 3241.390625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_3.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_4.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_5.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_6.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_7.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_8.pth saved with loss: 3242.41162109375
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_cubed with learning rate 0.7.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_1.pth saved with loss: 1931.40673828125
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_2.pth saved with loss: 3233.32373046875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_3.pth saved with loss: 3241.359375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_4.pth saved with loss: 3242.302490234375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_5.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_6.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_7.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_8.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_9.pth saved with loss: 3242.41162109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_10.pth saved with loss: 3242.41162109375
Loss unchanged for 5 epochs at epoch 10. Terminating training for inverse_cubed with learning rate 0.6.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_1.pth saved with loss: 1080.4974365234375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_2.pth saved with loss: 3169.412109375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_3.pth saved with loss: 3093.86083984375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_4.pth saved with loss: 2324.89404296875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_5.pth saved with loss: 1297.96337890625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_6.pth saved with loss: 76.08409118652344
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_7.pth saved with loss: 2.7033472061157227
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_8.pth saved with loss: 2.826526403427124
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_9.pth saved with loss: 3.013382911682129
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_10.pth saved with loss: 3.149374008178711
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_11.pth saved with loss: 3.2575950622558594
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_15.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for inverse_cubed with learning rate 0.5.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_1.pth saved with loss: 266.26031494140625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_2.pth saved with loss: 4.686159133911133
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_3.pth saved with loss: 4.821897506713867
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_4.pth saved with loss: 4.320993423461914
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_5.pth saved with loss: 3.4523444175720215
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_6.pth saved with loss: 3.3167638778686523
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_7.pth saved with loss: 3.2215054035186768
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_8.pth saved with loss: 3.1422550678253174
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_9.pth saved with loss: 3.0761942863464355
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_10.pth saved with loss: 3.0191023349761963
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_11.pth saved with loss: 2.9699223041534424
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_12.pth saved with loss: 2.9856200218200684
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_13.pth saved with loss: 8.732401847839355
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_14.pth saved with loss: 82.9572525024414
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_15.pth saved with loss: 713.96875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_16.pth saved with loss: 2025.201416015625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_17.pth saved with loss: 2717.021484375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_18.pth saved with loss: 2953.56396484375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_19.pth saved with loss: 2994.17919921875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_20.pth saved with loss: 2881.20947265625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_21.pth saved with loss: 2567.093505859375
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_22.pth saved with loss: 2146.655029296875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_23.pth saved with loss: 1619.5660400390625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_24.pth saved with loss: 1102.51123046875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_25.pth saved with loss: 717.6436157226562
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_26.pth saved with loss: 468.6149597167969
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_27.pth saved with loss: 298.03350830078125
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_28.pth saved with loss: 188.01480102539062
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_29.pth saved with loss: 117.47369384765625
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_30.pth saved with loss: 76.25564575195312
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_31.pth saved with loss: 53.97468566894531
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_32.pth saved with loss: 39.29145050048828
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_33.pth saved with loss: 29.31096839904785
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_34.pth saved with loss: 22.757909774780273
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_35.pth saved with loss: 17.081716537475586
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_36.pth saved with loss: 11.887883186340332
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_37.pth saved with loss: 8.052499771118164
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_38.pth saved with loss: 5.802879810333252
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_39.pth saved with loss: 4.410678386688232
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_40.pth saved with loss: 3.8419556617736816
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_41.pth saved with loss: 3.979961633682251
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_42.pth saved with loss: 3.9832403659820557
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_43.pth saved with loss: 3.9598305225372314
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_44.pth saved with loss: 3.9112958908081055
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_45.pth saved with loss: 3.8712735176086426
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_46.pth saved with loss: 3.8381664752960205
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_47.pth saved with loss: 3.8110408782958984
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_48.pth saved with loss: 3.787302255630493
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_49.pth saved with loss: 3.783799409866333
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_50.pth saved with loss: 3.77535343170166
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_51.pth saved with loss: 3.769078493118286
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_52.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_53.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_54.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_55.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 56. Terminating training for inverse_cubed with learning rate 0.4.
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_0.pth saved with loss: 27.12971305847168
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_1.pth saved with loss: 28.31456184387207
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_2.pth saved with loss: 4.624358177185059
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_3.pth saved with loss: 4.472574710845947
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_4.pth saved with loss: 3.4743733406066895
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_5.pth saved with loss: 3.1341066360473633
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_6.pth saved with loss: 2.900212526321411
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_7.pth saved with loss: 2.736121654510498
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_8.pth saved with loss: 2.6175377368927
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_9.pth saved with loss: 2.5248260498046875
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_10.pth saved with loss: 2.451521396636963
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_11.pth saved with loss: 2.3880770206451416
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_12.pth saved with loss: 2.3322958946228027
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_13.pth saved with loss: 2.2832882404327393
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_14.pth saved with loss: 2.2365870475769043
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_15.pth saved with loss: 2.1888673305511475
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_16.pth saved with loss: 2.141124963760376
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_17.pth saved with loss: 2.0941431522369385
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_18.pth saved with loss: 2.049769401550293
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_19.pth saved with loss: 2.008622884750366
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_20.pth saved with loss: 1.9704400300979614
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_21.pth saved with loss: 1.9352329969406128
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_22.pth saved with loss: 1.9023891687393188
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_23.pth saved with loss: 1.8714975118637085
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_25.pth saved with loss: 1.8147335052490234
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_26.pth saved with loss: 1.788216233253479
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_28.pth saved with loss: 1.7370816469192505
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_29.pth saved with loss: 1.7116608619689941
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_30.pth saved with loss: 1.6862266063690186
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_39.pth saved with loss: 1.5259932279586792
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_40.pth saved with loss: 1.5204418897628784
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_41.pth saved with loss: 1.5170179605484009
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_42.pth saved with loss: 1.515358328819275
time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_43.pth saved with loss: 1.515322208404541
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time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 31925.90625
time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 31925.90625
Loss unchanged for 5 epochs at epoch 6. Terminating training for linear_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 31925.90625
Loss unchanged for 5 epochs at epoch 6. Terminating training for linear_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 31925.90625
time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 31925.90625
Loss unchanged for 5 epochs at epoch 6. Terminating training for linear_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 31922.240234375
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 3758.1083984375
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 30709.283203125
time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 31762.892578125
Loss unchanged for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 29724.357421875
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 31762.892578125
Loss unchanged for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 27906.0546875
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 31762.892578125
Loss unchanged for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 25531.16796875
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 31757.841796875
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 31762.892578125
Loss unchanged for 5 epochs at epoch 8. Terminating training for linear_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 20212.619140625
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 31684.55859375
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 31757.576171875
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 31762.533203125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 31762.892578125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 31762.892578125
Loss unchanged for 5 epochs at epoch 10. Terminating training for linear_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 250.16981506347656
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 11499.3359375
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 31049.5234375
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 30958.478515625
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 26935.70703125
time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 21758.06640625
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Loss unchanged for 5 epochs at epoch 19. Terminating training for linear_mirrored with learning rate 0.5.
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Consecutive NaN detected for 5 epochs at epoch 33. Terminating training for linear_mirrored with learning rate 0.3.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 9910.626953125
Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 9910.626953125
Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 9910.626953125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 9910.626953125
Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 9845.5283203125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 6.564489364624023
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 8978.115234375
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 9846.0
Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 8530.0576171875
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 9846.0
Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 7763.013671875
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 9846.0
Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 5868.9296875
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 9843.640625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 9846.0
Loss unchanged for 5 epochs at epoch 8. Terminating training for quadratic_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 3105.369384765625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 9819.306640625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 9834.8291015625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 9831.8701171875
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 9818.0693359375
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 9791.4228515625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 9757.396484375
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 9671.19140625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 8336.791015625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 9592.1640625
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: 9822.146484375
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: 9841.8095703125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_13.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_14.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_15.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_16.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_17.pth saved with loss: 9846.0
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_18.pth saved with loss: 9846.0
Loss unchanged for 5 epochs at epoch 18. Terminating training for quadratic_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 99.56229400634766
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 735.147216796875
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 8984.443359375
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 13.156900405883789
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 11.05036449432373
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 12.757122039794922
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 13.071992874145508
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 10.597452163696289
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 10.671792030334473
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 11.983652114868164
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 132.00418090820312
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: 1666.8143310546875
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: 363.83917236328125
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: 30.79215431213379
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: 30.148286819458008
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_15.pth saved with loss: 29.998884201049805
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_16.pth saved with loss: 30.110918045043945
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_17.pth saved with loss: 30.314420700073242
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_18.pth saved with loss: 30.847604751586914
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_19.pth saved with loss: 31.811769485473633
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_20.pth saved with loss: 33.49662399291992
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_23.pth saved with loss: 60.90687942504883
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_24.pth saved with loss: 81.00617218017578
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Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for quadratic_mirrored with learning rate 0.4.
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Consecutive NaN detected for 5 epochs at epoch 81. Terminating training for quadratic_mirrored with learning rate 0.3.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 2.9496960639953613
time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 2.9466991424560547
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 4744.6787109375
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 4744.6787109375
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 4744.6787109375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 4744.6787109375
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 4730.83251953125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 5.124730110168457
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 4119.43798828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 4710.923828125
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 3639.0068359375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 4710.923828125
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 2888.184326171875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 4710.923828125
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 2172.13330078125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 4710.068359375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 4710.923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 4710.923828125
Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 1242.067138671875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 4695.6806640625
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 4699.46923828125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 4691.0185546875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 4677.1220703125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 4644.107421875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 4316.83544921875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 3478.238525390625
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 2243.554931640625
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 847.5971069335938
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_14.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for cubic_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 314.34442138671875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 4145.65869140625
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 8.102828025817871
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 7.494869232177734
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 8.68233871459961
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 9.140067100524902
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 9.622515678405762
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 10.304070472717285
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 9.292510986328125
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for cubic_mirrored with learning rate 0.5.
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 53.319801330566406
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 50.648563385009766
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 8.55200481414795
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 6.872082233428955
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 5.9745049476623535
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 5.3439764976501465
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 5.111774921417236
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 4.931632995605469
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 4.773301124572754
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 4.634979248046875
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: 4.5111083984375
time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: 4.389819622039795
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Consecutive NaN detected for 5 epochs at epoch 44. Terminating training for cubic_mirrored with learning rate 0.4.
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Consecutive NaN detected for 5 epochs at epoch 30. Terminating training for cubic_mirrored with learning rate 0.3.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 71006.21875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 71006.21875
Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 71006.21875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 71006.21875
Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 71006.21875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 71006.21875
Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 70972.5
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 22.73408317565918
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 67292.1171875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 70701.59375
Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 64792.453125
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 70701.59375
Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 60295.6640625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 70701.59375
Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 53664.828125
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 70690.6328125
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 70701.59375
Loss unchanged for 5 epochs at epoch 8. Terminating training for square_root_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 39824.3359375
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 70529.09375
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 70693.3984375
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 70701.59375
Loss unchanged for 5 epochs at epoch 9. Terminating training for square_root_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 20169.580078125
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 69188.0625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 67710.0703125
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 52076.36328125
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 21.71302604675293
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 22.763479232788086
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 26.007081985473633
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 29.136579513549805
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: 31.8521785736084
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: 65956.78125
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: 71006.21875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: 71006.21875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_15.pth saved with loss: 71006.21875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_16.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_18.pth saved with loss: 71006.21875
Loss unchanged for 5 epochs at epoch 18. Terminating training for square_root_mirrored with learning rate 0.5.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 4066.74609375
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 25.84347152709961
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 33.18013000488281
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 24.108125686645508
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 18.539525985717773
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 17.58995246887207
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 16.840782165527344
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 16.15195655822754
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 15.525141716003418
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: 15.000173568725586
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: 14.586549758911133
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: 14.278099060058594
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_14.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_15.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_16.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 17. Terminating training for square_root_mirrored with learning rate 0.4.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_1.pth saved with loss: 504.04986572265625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_2.pth saved with loss: 29.25644302368164
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_3.pth saved with loss: 32.18950271606445
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_9.pth saved with loss: 14.833020210266113
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_18.pth saved with loss: 11.408769607543945
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_19.pth saved with loss: 11.19556713104248
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_24.pth saved with loss: 10.19104290008545
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_25.pth saved with loss: 10.026124954223633
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_29.pth saved with loss: 9.489035606384277
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_30.pth saved with loss: 9.357518196105957
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_32.pth saved with loss: 8.136822700500488
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_34.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_35.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_36.pth saved with loss: nan
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_37.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 38. Terminating training for square_root_mirrored with learning rate 0.3.
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_0.pth saved with loss: 472.03131103515625
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_1.pth saved with loss: 328.1573486328125
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_2.pth saved with loss: 364.39324951171875
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_3.pth saved with loss: 31.002161026000977
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_4.pth saved with loss: 29.68213653564453
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_7.pth saved with loss: 27.785932540893555
time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_8.pth saved with loss: 26.90545654296875
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 96770.1328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 96770.1328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 96770.1328125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 96770.1328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 96646.5625
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 7.2633161544799805
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 89158.015625
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 96380.984375
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 84804.3515625
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 96380.984375
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 78400.9296875
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 96380.984375
Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 66367.7109375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 96368.578125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 96380.984375
Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic_root_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 45775.93359375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 96178.5546875
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 96369.59375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 96380.984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 96380.984375
Loss unchanged for 5 epochs at epoch 9. Terminating training for cubic_root_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 606.1986083984375
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 20722.400390625
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 94059.9140625
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 87355.1875
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 43245.546875
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 1076.577392578125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 43.8785400390625
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 47.48427963256836
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 48.926353454589844
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 59.5208625793457
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 44.5113639831543
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: 41.65046691894531
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: 40.13322067260742
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: 52.385528564453125
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: 356.2956848144531
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_15.pth saved with loss: 54.39165496826172
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_16.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 20. Terminating training for cubic_root_mirrored with learning rate 0.5.
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Consecutive NaN detected for 5 epochs at epoch 45. Terminating training for cubic_root_mirrored with learning rate 0.4.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 15.08875560760498
time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 15.067582130432129
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 28506.94921875
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 28506.94921875
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 28506.94921875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 28506.94921875
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 28467.70703125
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 0.9552232027053833
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 26963.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 28434.833984375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 25620.671875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 28434.833984375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 21313.91015625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 28434.833984375
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 15202.1357421875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 28433.28515625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 28434.833984375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 28434.833984375
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 6486.37255859375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 28375.791015625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 28376.5703125
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 28202.478515625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 23100.681640625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 8428.63671875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 413.37872314453125
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 1.3775529861450195
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 13. Terminating training for inverse_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 271.5838623046875
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 1.8033311367034912
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 1.9317882061004639
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 1.894938588142395
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 1.4872627258300781
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 1.1583973169326782
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 1.2511214017868042
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 1.5288810729980469
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 34.022972106933594
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 19.399734497070312
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for inverse_mirrored with learning rate 0.5.
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 118.98458862304688
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 12.035469055175781
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 28320.31640625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 22977.822265625
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 22048.146484375
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 25297.0703125
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 9848.908203125
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 4.015556335449219
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 5.419307231903076
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 12.20499324798584
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: 21.36324691772461
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: 33.572654724121094
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: 43.84205627441406
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: 39.69121170043945
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_14.pth saved with loss: 25.13047218322754
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_15.pth saved with loss: 12.763236999511719
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_16.pth saved with loss: 7.09976863861084
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_18.pth saved with loss: 3.994004249572754
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_19.pth saved with loss: 3.2974741458892822
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_20.pth saved with loss: 2.9163386821746826
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_22.pth saved with loss: 2.54392671585083
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_23.pth saved with loss: 2.4343209266662598
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_25.pth saved with loss: 2.2801432609558105
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_26.pth saved with loss: 2.2223119735717773
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_27.pth saved with loss: 2.1730363368988037
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_28.pth saved with loss: 2.130439519882202
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_29.pth saved with loss: 2.093127727508545
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_41.pth saved with loss: 1.8716026544570923
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_42.pth saved with loss: 1.8623570203781128
time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_43.pth saved with loss: 1.853771448135376
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Consecutive NaN detected for 5 epochs at epoch 43. Terminating training for inverse_mirrored with learning rate 0.3.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 62600.4609375
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 62600.4609375
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 62600.4609375
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 62600.4609375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 62600.4609375
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 62600.4609375
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 62600.4609375
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 62544.9296875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 1.8998955488204956
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 59203.26953125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 62439.21875
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 55912.42578125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 62439.21875
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 46707.47265625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 62439.21875
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 33734.078125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 62436.953125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 62439.21875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 62439.21875
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_squared_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 15860.9775390625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 62325.515625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 62379.81640625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 62310.23046875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 61819.40234375
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 58379.16015625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 44791.0390625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 29133.533203125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 26100.62890625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 26191.78515625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: 26191.7578125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: 26643.279296875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_13.pth saved with loss: 30401.509765625
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_14.pth saved with loss: 33642.29296875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_15.pth saved with loss: 34379.43359375
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_16.pth saved with loss: 32445.1875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_17.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_18.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_19.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_20.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 21. Terminating training for inverse_squared_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 1076.67529296875
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 5.949836730957031
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 47366.4453125
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 6.035224914550781
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 7.525753498077393
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 8.557132720947266
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 9.672903060913086
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 11.375807762145996
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 13. Terminating training for inverse_squared_mirrored with learning rate 0.5.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 43.634342193603516
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 43.87071990966797
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 0.9744042158126831
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 2.0090606212615967
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 2.9039292335510254
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 1.1930429935455322
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 1.2102395296096802
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 1.404444694519043
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 1.4429371356964111
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for inverse_squared_mirrored with learning rate 0.4.
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_0.pth saved with loss: 265.3622131347656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_1.pth saved with loss: 24.403804779052734
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_2.pth saved with loss: 5.302168846130371
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_3.pth saved with loss: 6.417696952819824
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_4.pth saved with loss: 6.663599967956543
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_5.pth saved with loss: 11.640973091125488
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_6.pth saved with loss: 142.82875061035156
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_7.pth saved with loss: 113.84545135498047
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_8.pth saved with loss: 62.3697395324707
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_9.pth saved with loss: 16.519977569580078
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_10.pth saved with loss: 7.949100971221924
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_11.pth saved with loss: 5.860877990722656
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_12.pth saved with loss: 4.949398994445801
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_13.pth saved with loss: 4.419576168060303
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_14.pth saved with loss: 4.029250621795654
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_15.pth saved with loss: 3.723994255065918
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_16.pth saved with loss: 3.469531297683716
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_17.pth saved with loss: 3.2510628700256348
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_18.pth saved with loss: 3.0624468326568604
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_19.pth saved with loss: 2.8986306190490723
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_20.pth saved with loss: 2.756695032119751
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_21.pth saved with loss: 2.633244752883911
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_22.pth saved with loss: 2.5253117084503174
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_23.pth saved with loss: 2.429532527923584
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_24.pth saved with loss: 2.348453998565674
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_25.pth saved with loss: 2.279642343521118
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_26.pth saved with loss: 2.218674421310425
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_27.pth saved with loss: 2.163984537124634
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_28.pth saved with loss: 2.1132795810699463
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_29.pth saved with loss: 2.0662624835968018
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_35.pth saved with loss: 0.5304766297340393
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_39.pth saved with loss: 1.8657622337341309
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_40.pth saved with loss: 2.605424642562866
time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_41.pth saved with loss: 3.6771388053894043
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 78707.1328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed_mirrored with learning rate 16.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 78707.1328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed_mirrored with learning rate 8.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 78707.1328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 78707.1328125
Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed_mirrored with learning rate 4.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 78704.4140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 1.5603140592575073
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 2.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 76239.328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 78500.046875
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 1.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 74006.375
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 78500.046875
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 0.9.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 68674.3359375
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 78500.046875
Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 0.8.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 59869.23828125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 78492.6328125
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 78500.046875
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_cubed_mirrored with learning rate 0.7.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 40741.2890625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 78438.8515625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 78500.046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 78500.046875
Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_cubed_mirrored with learning rate 0.6.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 16351.451171875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 77387.75
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 73185.09375
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 32617.43359375
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 10.602575302124023
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 6.613097190856934
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 6.6182122230529785
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 6.7574543952941895
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 6.877490997314453
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 6.96396541595459
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for inverse_cubed_mirrored with learning rate 0.5.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 1126.791748046875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 4.326338291168213
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 4.340819835662842
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 4.1349592208862305
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 8.00390625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 55969.29296875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 6.698582172393799
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 2.3140876293182373
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 2.180274486541748
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: 2.111131429672241
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: nan
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_14.pth saved with loss: nan
Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for inverse_cubed_mirrored with learning rate 0.4.
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_0.pth saved with loss: 339.7125244140625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_1.pth saved with loss: 110.30671691894531
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_2.pth saved with loss: 10.267021179199219
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_3.pth saved with loss: 62122.28515625
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_4.pth saved with loss: 19.74958610534668
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_5.pth saved with loss: 18.197572708129883
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_6.pth saved with loss: 171.65945434570312
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_7.pth saved with loss: 43.887577056884766
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_8.pth saved with loss: 20.940507888793945
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_9.pth saved with loss: 17.429384231567383
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_10.pth saved with loss: 19.05335807800293
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_11.pth saved with loss: 21.563846588134766
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_12.pth saved with loss: 20.752017974853516
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_13.pth saved with loss: 18.272537231445312
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_14.pth saved with loss: 16.051387786865234
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_17.pth saved with loss: 8.979559898376465
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_18.pth saved with loss: 7.7474822998046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_23.pth saved with loss: 5.3839192390441895
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Consecutive NaN detected for 5 epochs at epoch 104. Terminating training for inverse_cubed_mirrored with learning rate 0.3.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_97.pth saved with loss: 7.185676097869873
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_145.pth saved with loss: 4.736128330230713
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_150.pth saved with loss: 4.604206562042236
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_160.pth saved with loss: 4.421684265136719
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_161.pth saved with loss: 4.406135082244873
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_162.pth saved with loss: 4.390941619873047
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_165.pth saved with loss: 4.348079681396484
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_174.pth saved with loss: 4.250696182250977
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_182.pth saved with loss: 4.159147262573242
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_183.pth saved with loss: 4.148146152496338
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_184.pth saved with loss: 4.137485980987549
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_185.pth saved with loss: 4.127127647399902
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_186.pth saved with loss: 4.116962432861328
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_187.pth saved with loss: 4.106935501098633
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_188.pth saved with loss: 4.09696102142334
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_189.pth saved with loss: 4.0870184898376465
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_190.pth saved with loss: 4.077086448669434
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_191.pth saved with loss: 4.067191123962402
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_192.pth saved with loss: 4.057347774505615
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_193.pth saved with loss: 4.047576904296875
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_194.pth saved with loss: 4.037909507751465
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_195.pth saved with loss: 4.028326034545898
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_196.pth saved with loss: 4.018808364868164
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_197.pth saved with loss: 4.009352207183838
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_198.pth saved with loss: 3.9999425411224365
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 3.9906182289123535
time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 3.9813995361328125
Training complete. Models and logs are saved under respective directories for each learning rate and weight function.