38660 lines
4.6 MiB
38660 lines
4.6 MiB
time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_1.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_2.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_3.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_4.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_5.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_16.000/controllers/controller_6.pth saved with loss: 197062.375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 16.
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_1.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_2.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_3.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_4.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_5.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_8.000/controllers/controller_6.pth saved with loss: 197062.375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 8.
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_1.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_2.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_3.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_4.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_5.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_4.000/controllers/controller_6.pth saved with loss: 197062.375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 4.
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_1.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_2.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_3.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_4.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_5.pth saved with loss: 197062.375
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time_weighting_learning_rate_sweep/constant/lr_2.000/controllers/controller_6.pth saved with loss: 197062.375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for constant with learning rate 2.
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_1.pth saved with loss: 192997.171875
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_2.pth saved with loss: 196373.40625
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_3.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_4.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_5.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_6.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_7.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_1.000/controllers/controller_8.pth saved with loss: 196373.640625
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Loss unchanged for 5 epochs at epoch 8. Terminating training for constant with learning rate 1.
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_1.pth saved with loss: 188662.65625
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_2.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_3.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_4.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_5.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_6.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.900/controllers/controller_7.pth saved with loss: 196373.640625
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Loss unchanged for 5 epochs at epoch 7. Terminating training for constant with learning rate 0.9.
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_1.pth saved with loss: 178371.703125
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_2.pth saved with loss: 196373.4375
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_3.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_4.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_5.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_6.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_7.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.800/controllers/controller_8.pth saved with loss: 196373.640625
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Loss unchanged for 5 epochs at epoch 8. Terminating training for constant with learning rate 0.8.
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_1.pth saved with loss: 165115.203125
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_2.pth saved with loss: 196340.71875
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_3.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_4.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_5.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_6.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_7.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.700/controllers/controller_8.pth saved with loss: 196373.640625
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Loss unchanged for 5 epochs at epoch 8. Terminating training for constant with learning rate 0.7.
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_1.pth saved with loss: 139986.984375
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_2.pth saved with loss: 195732.21875
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_3.pth saved with loss: 196348.1875
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_4.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_5.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_6.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_7.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_8.pth saved with loss: 196373.640625
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time_weighting_learning_rate_sweep/constant/lr_0.600/controllers/controller_9.pth saved with loss: 196373.640625
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Loss unchanged for 5 epochs at epoch 9. Terminating training for constant with learning rate 0.6.
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_1.pth saved with loss: 97624.71875
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_2.pth saved with loss: 193010.671875
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_3.pth saved with loss: 193945.328125
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_4.pth saved with loss: 184485.71875
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_5.pth saved with loss: 139493.53125
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_6.pth saved with loss: 74732.3828125
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_7.pth saved with loss: 81682.4296875
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_8.pth saved with loss: 27178.181640625
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_9.pth saved with loss: 9615.1865234375
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_10.pth saved with loss: 213.50404357910156
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_11.pth saved with loss: 27.556537628173828
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/constant/lr_0.500/controllers/controller_15.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for constant with learning rate 0.5.
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_1.pth saved with loss: 36838.27734375
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_2.pth saved with loss: 44.573402404785156
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_3.pth saved with loss: 105924.5390625
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_4.pth saved with loss: 41.59011459350586
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_5.pth saved with loss: 36.11030578613281
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_6.pth saved with loss: 35.55046081542969
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_7.pth saved with loss: 37.81698989868164
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_8.pth saved with loss: 41.02517318725586
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_9.pth saved with loss: 42.91999053955078
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_10.pth saved with loss: 45.7131233215332
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_11.pth saved with loss: 41.85399627685547
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_12.pth saved with loss: 40.049232482910156
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_13.pth saved with loss: 38.6837043762207
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_14.pth saved with loss: 37.556556701660156
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_15.pth saved with loss: 36.00605773925781
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_16.pth saved with loss: 33.6727409362793
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_17.pth saved with loss: 31.685684204101562
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_18.pth saved with loss: 37.23391342163086
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_19.pth saved with loss: 37.71848678588867
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_20.pth saved with loss: 33.69709014892578
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_21.pth saved with loss: 31.826297760009766
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_22.pth saved with loss: 31.2726993560791
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_23.pth saved with loss: 31.138790130615234
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_24.pth saved with loss: 31.04647445678711
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_25.pth saved with loss: 30.865480422973633
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_26.pth saved with loss: 30.721553802490234
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_27.pth saved with loss: 30.514291763305664
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_28.pth saved with loss: 30.227590560913086
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_29.pth saved with loss: 29.922489166259766
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_30.pth saved with loss: 29.53095245361328
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_31.pth saved with loss: 29.23976707458496
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_32.pth saved with loss: 28.990644454956055
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_33.pth saved with loss: 28.765079498291016
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_34.pth saved with loss: 28.542724609375
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_35.pth saved with loss: 28.22769546508789
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_36.pth saved with loss: 27.828588485717773
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_37.pth saved with loss: 24.716533660888672
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_38.pth saved with loss: 25.0787410736084
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_39.pth saved with loss: nan
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_40.pth saved with loss: nan
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_41.pth saved with loss: nan
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time_weighting_learning_rate_sweep/constant/lr_0.400/controllers/controller_42.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 43. Terminating training for constant with learning rate 0.4.
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_0.pth saved with loss: 1087.9490966796875
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_1.pth saved with loss: 2825.916259765625
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_2.pth saved with loss: 45.81127166748047
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_3.pth saved with loss: 167.4499053955078
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_4.pth saved with loss: 39.7562255859375
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_5.pth saved with loss: 31.285991668701172
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_6.pth saved with loss: 28.110328674316406
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_7.pth saved with loss: 26.23940086364746
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_8.pth saved with loss: 24.85036849975586
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_9.pth saved with loss: 23.69524383544922
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_10.pth saved with loss: 22.691848754882812
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_11.pth saved with loss: 21.820920944213867
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_12.pth saved with loss: 21.053966522216797
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_13.pth saved with loss: 20.368806838989258
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_14.pth saved with loss: 19.758020401000977
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_15.pth saved with loss: 19.222614288330078
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_16.pth saved with loss: 18.762393951416016
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_17.pth saved with loss: 18.373872756958008
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_18.pth saved with loss: 18.048959732055664
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_19.pth saved with loss: 17.780969619750977
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_20.pth saved with loss: 17.5612735748291
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_21.pth saved with loss: 17.3798828125
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_22.pth saved with loss: 17.223751068115234
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_23.pth saved with loss: 17.082439422607422
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_26.pth saved with loss: 29927.26953125
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_27.pth saved with loss: 35657.75
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_28.pth saved with loss: 40116.0234375
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_29.pth saved with loss: 43236.8984375
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_30.pth saved with loss: 43042.046875
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_31.pth saved with loss: 45883.66796875
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time_weighting_learning_rate_sweep/constant/lr_0.300/controllers/controller_32.pth saved with loss: 44355.76171875
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time_weighting_learning_rate_sweep/constant/lr_0.010/controllers/controller_199.pth saved with loss: 24.475553512573242
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time_weighting_learning_rate_sweep/constant/lr_0.010/controllers/controller_200.pth saved with loss: 24.458232879638672
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_1.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_2.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_3.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_4.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_5.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_16.000/controllers/controller_6.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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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_1.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_2.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_3.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_4.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_5.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_8.000/controllers/controller_6.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 8.
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_1.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_2.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_3.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_4.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_5.pth saved with loss: 167107.078125
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time_weighting_learning_rate_sweep/linear/lr_4.000/controllers/controller_6.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.
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time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_1.pth saved with loss: 167078.453125
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time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_2.pth saved with loss: 4.431153297424316
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time_weighting_learning_rate_sweep/linear/lr_2.000/controllers/controller_3.pth saved with loss: nan
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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_5.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
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for linear with learning rate 2.
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time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_1.pth saved with loss: 160731.71875
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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_3.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_4.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_5.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_1.000/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for linear with learning rate 1.
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time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_1.pth saved with loss: 155680.65625
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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_3.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_5.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.900/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for linear with learning rate 0.9.
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_1.pth saved with loss: 143977.234375
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_2.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_3.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_4.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_5.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_6.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.800/controllers/controller_7.pth saved with loss: 166574.5
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Loss unchanged for 5 epochs at epoch 7. Terminating training for linear with learning rate 0.8.
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_1.pth saved with loss: 126080.2109375
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_2.pth saved with loss: 166556.671875
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_3.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_4.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_5.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_6.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_7.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.700/controllers/controller_8.pth saved with loss: 166574.5
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Loss unchanged for 5 epochs at epoch 8. Terminating training for linear with learning rate 0.7.
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_1.pth saved with loss: 84248.1796875
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_2.pth saved with loss: 166294.21875
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_3.pth saved with loss: 166571.734375
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_4.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_5.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_6.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_7.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_8.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.600/controllers/controller_9.pth saved with loss: 166574.5
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Loss unchanged for 5 epochs at epoch 9. Terminating training for linear with learning rate 0.6.
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_1.pth saved with loss: 29826.1875
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_2.pth saved with loss: 162240.03125
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_3.pth saved with loss: 136354.84375
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_4.pth saved with loss: 46661.79296875
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_5.pth saved with loss: 1070.3817138671875
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_6.pth saved with loss: 70.7809066772461
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_7.pth saved with loss: 41.843894958496094
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_8.pth saved with loss: 36.959983825683594
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_9.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_0.500/controllers/controller_12.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 13. Terminating training for linear with learning rate 0.5.
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_1.pth saved with loss: 1922.4442138671875
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_2.pth saved with loss: 20.176345825195312
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_3.pth saved with loss: 19.76601791381836
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_4.pth saved with loss: 18.43532943725586
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_5.pth saved with loss: 15.609777450561523
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_6.pth saved with loss: 18.27033233642578
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_7.pth saved with loss: 16.567707061767578
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_8.pth saved with loss: 15.500636100769043
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_9.pth saved with loss: 13.74911117553711
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_10.pth saved with loss: 12.890634536743164
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_11.pth saved with loss: 12.645033836364746
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear/lr_0.400/controllers/controller_15.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for linear with learning rate 0.4.
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_0.pth saved with loss: 848.658935546875
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_1.pth saved with loss: 352.04669189453125
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_2.pth saved with loss: 20.37812042236328
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_3.pth saved with loss: 22.809329986572266
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_4.pth saved with loss: 23.577417373657227
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_5.pth saved with loss: 23.361003875732422
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_6.pth saved with loss: 22.81104850769043
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_7.pth saved with loss: 22.046096801757812
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_8.pth saved with loss: 21.20140838623047
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_9.pth saved with loss: 20.28021812438965
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_10.pth saved with loss: 19.286937713623047
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_11.pth saved with loss: 18.248350143432617
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_12.pth saved with loss: 17.288070678710938
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_13.pth saved with loss: 16.395339965820312
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_14.pth saved with loss: 15.574531555175781
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_15.pth saved with loss: 14.808667182922363
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_16.pth saved with loss: 11.599696159362793
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_17.pth saved with loss: 11.070761680603027
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_18.pth saved with loss: 2104.847900390625
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_19.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_20.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_21.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_22.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_23.pth saved with loss: 166574.5
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time_weighting_learning_rate_sweep/linear/lr_0.300/controllers/controller_24.pth saved with loss: 166574.5
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Loss unchanged for 5 epochs at epoch 24. Terminating training for linear with learning rate 0.3.
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time_weighting_learning_rate_sweep/quadratic/lr_16.000/controllers/controller_6.pth saved with loss: 145091.796875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic with learning rate 16.
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time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_8.000/controllers/controller_6.pth saved with loss: 145091.796875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic with learning rate 8.
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time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_4.000/controllers/controller_6.pth saved with loss: 145091.796875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic with learning rate 4.
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time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_1.pth saved with loss: 145084.8125
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time_weighting_learning_rate_sweep/quadratic/lr_2.000/controllers/controller_3.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 2.
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time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_1.000/controllers/controller_7.pth saved with loss: 144657.609375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 1.
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time_weighting_learning_rate_sweep/quadratic/lr_0.900/controllers/controller_0.pth saved with loss: 698.05126953125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 0.9.
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time_weighting_learning_rate_sweep/quadratic/lr_0.800/controllers/controller_0.pth saved with loss: 698.05126953125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic with learning rate 0.8.
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time_weighting_learning_rate_sweep/quadratic/lr_0.700/controllers/controller_0.pth saved with loss: 698.05126953125
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Loss unchanged for 5 epochs at epoch 8. Terminating training for quadratic with learning rate 0.7.
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time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_1.pth saved with loss: 74336.546875
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time_weighting_learning_rate_sweep/quadratic/lr_0.600/controllers/controller_8.pth saved with loss: 144657.609375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for quadratic with learning rate 0.6.
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time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_1.pth saved with loss: 28110.3125
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time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_2.pth saved with loss: 141606.625
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time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/quadratic/lr_0.500/controllers/controller_13.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for quadratic with learning rate 0.5.
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_0.pth saved with loss: 698.05126953125
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_5.pth saved with loss: 13.41573715209961
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_7.pth saved with loss: 15.488669395446777
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_11.pth saved with loss: 13.195968627929688
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_12.pth saved with loss: 12.105541229248047
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_13.pth saved with loss: 11.149531364440918
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_14.pth saved with loss: 10.608494758605957
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time_weighting_learning_rate_sweep/quadratic/lr_0.400/controllers/controller_15.pth saved with loss: 23.254711151123047
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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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time_weighting_learning_rate_sweep/quadratic/lr_0.300/controllers/controller_0.pth saved with loss: 698.05126953125
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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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time_weighting_learning_rate_sweep/quadratic/lr_0.250/controllers/controller_0.pth saved with loss: 698.05126953125
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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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time_weighting_learning_rate_sweep/cubic/lr_2.000/controllers/controller_0.pth saved with loss: 593.6863403320312
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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.
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Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic with learning rate 0.6.
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Loss unchanged for 5 epochs at epoch 118. Terminating training for cubic with learning rate 0.5.
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time_weighting_learning_rate_sweep/square_root/lr_16.000/controllers/controller_6.pth saved with loss: 180847.984375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root with learning rate 16.
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time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_8.000/controllers/controller_6.pth saved with loss: 180847.984375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root with learning rate 8.
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time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_4.000/controllers/controller_6.pth saved with loss: 180847.984375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root with learning rate 4.
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time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for square_root with learning rate 2.
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time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root/lr_1.000/controllers/controller_8.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 9. Terminating training for square_root with learning rate 1.
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time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_0.900/controllers/controller_7.pth saved with loss: 180247.296875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root with learning rate 0.9.
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time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_1.pth saved with loss: 156804.171875
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time_weighting_learning_rate_sweep/square_root/lr_0.800/controllers/controller_7.pth saved with loss: 180247.296875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root with learning rate 0.8.
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time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_0.700/controllers/controller_1.pth saved with loss: 138292.75
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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_8.pth saved with loss: 180247.296875
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Loss unchanged for 5 epochs at epoch 8. Terminating training for square_root with learning rate 0.7.
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time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_1.pth saved with loss: 100543.7890625
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time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_2.pth saved with loss: 179767.90625
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time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_3.pth saved with loss: 180204.53125
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time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_4.pth saved with loss: 180242.65625
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time_weighting_learning_rate_sweep/square_root/lr_0.600/controllers/controller_10.pth saved with loss: 180247.296875
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Loss unchanged for 5 epochs at epoch 10. Terminating training for square_root with learning rate 0.6.
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_0.pth saved with loss: 952.5866088867188
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_1.pth saved with loss: 45308.96484375
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_2.pth saved with loss: 176048.1875
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_3.pth saved with loss: 157038.296875
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_6.pth saved with loss: 42.77729415893555
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_7.pth saved with loss: 28.205411911010742
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_8.pth saved with loss: 27.80960464477539
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time_weighting_learning_rate_sweep/square_root/lr_0.500/controllers/controller_10.pth saved with loss: 35.59136199951172
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Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for square_root with learning rate 0.5.
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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/square_root/lr_0.010/controllers/controller_200.pth saved with loss: 15.095549583435059
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time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_1.pth saved with loss: 185947.046875
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time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_3.pth saved with loss: 185947.046875
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time_weighting_learning_rate_sweep/cubic_root/lr_16.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root with learning rate 16.
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time_weighting_learning_rate_sweep/cubic_root/lr_8.000/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_8.000/controllers/controller_6.pth saved with loss: 185947.046875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root with learning rate 8.
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time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_1.pth saved with loss: 185947.046875
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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_4.pth saved with loss: 185947.046875
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time_weighting_learning_rate_sweep/cubic_root/lr_4.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root with learning rate 4.
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_1.pth saved with loss: 185857.34375
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_2.pth saved with loss: 5.012078762054443
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 2.
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time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_1.pth saved with loss: 176661.546875
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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_3.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_5.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_1.000/controllers/controller_7.pth saved with loss: 185319.609375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 1.
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time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_0.900/controllers/controller_1.pth saved with loss: 169302.75
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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_7.pth saved with loss: 185319.609375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 0.9.
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time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_1.pth saved with loss: 156535.015625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.800/controllers/controller_7.pth saved with loss: 185319.609375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root with learning rate 0.8.
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_1.pth saved with loss: 136868.609375
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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_3.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_5.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_6.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_7.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.700/controllers/controller_8.pth saved with loss: 185319.609375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic_root with learning rate 0.7.
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_1.pth saved with loss: 99731.953125
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_2.pth saved with loss: 184977.625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_3.pth saved with loss: 185303.015625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_4.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_5.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_7.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_8.pth saved with loss: 185319.609375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.600/controllers/controller_9.pth saved with loss: 185319.609375
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Loss unchanged for 5 epochs at epoch 9. Terminating training for cubic_root with learning rate 0.6.
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_1.pth saved with loss: 45421.4765625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_2.pth saved with loss: 181493.6875
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_3.pth saved with loss: 165112.390625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_4.pth saved with loss: 68631.09375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_5.pth saved with loss: 538.5633544921875
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_6.pth saved with loss: 35.20182418823242
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_7.pth saved with loss: 30.77528953552246
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_8.pth saved with loss: 31.533828735351562
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_9.pth saved with loss: 31.939693450927734
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root/lr_0.500/controllers/controller_13.pth saved with loss: nan
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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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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_0.pth saved with loss: 993.4888305664062
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_1.pth saved with loss: 4885.07275390625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_2.pth saved with loss: 31.96577262878418
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_3.pth saved with loss: 38.095245361328125
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_4.pth saved with loss: 109.5927963256836
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_5.pth saved with loss: 28.153841018676758
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_8.pth saved with loss: 29.886137008666992
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_10.pth saved with loss: 27.665761947631836
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_11.pth saved with loss: 21.816307067871094
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_12.pth saved with loss: 20.861499786376953
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_13.pth saved with loss: 129.41175842285156
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_14.pth saved with loss: 2895.73193359375
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_15.pth saved with loss: 662.2291870117188
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_16.pth saved with loss: 255.7066650390625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_17.pth saved with loss: 140.0929718017578
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_18.pth saved with loss: 107.21492004394531
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_19.pth saved with loss: 86.8718032836914
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_21.pth saved with loss: 68.0505142211914
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_22.pth saved with loss: 65.17466735839844
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_23.pth saved with loss: 60.96403503417969
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_24.pth saved with loss: 56.970272064208984
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_25.pth saved with loss: 53.35028839111328
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_26.pth saved with loss: 50.94762420654297
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_27.pth saved with loss: 319.476806640625
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time_weighting_learning_rate_sweep/cubic_root/lr_0.400/controllers/controller_28.pth saved with loss: 47.74399948120117
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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_16.000/controllers/controller_6.pth saved with loss: 2399.245361328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse with learning rate 16.
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_1.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_2.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_3.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_4.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_5.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_8.000/controllers/controller_6.pth saved with loss: 2399.245361328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse with learning rate 8.
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time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_1.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_2.pth saved with loss: 2399.245361328125
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time_weighting_learning_rate_sweep/inverse/lr_4.000/controllers/controller_6.pth saved with loss: 2399.245361328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse with learning rate 4.
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_1.pth saved with loss: 2398.761474609375
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_2.pth saved with loss: 5.0204572677612305
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse with learning rate 2.
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_1.pth saved with loss: 2286.216064453125
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_2.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_3.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_4.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_5.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_6.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_1.000/controllers/controller_7.pth saved with loss: 2389.562255859375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse with learning rate 1.
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_1.pth saved with loss: 2200.873291015625
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_2.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_3.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_4.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_5.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_6.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.900/controllers/controller_7.pth saved with loss: 2389.562255859375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse with learning rate 0.9.
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_1.pth saved with loss: 2046.8402099609375
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_2.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_3.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_4.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_5.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_6.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.800/controllers/controller_7.pth saved with loss: 2389.562255859375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse with learning rate 0.8.
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_1.pth saved with loss: 1817.6221923828125
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_2.pth saved with loss: 2389.271728515625
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_3.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_4.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_5.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_6.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_7.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.700/controllers/controller_8.pth saved with loss: 2389.562255859375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse with learning rate 0.7.
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_1.pth saved with loss: 1352.3265380859375
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_2.pth saved with loss: 2383.4765625
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_3.pth saved with loss: 2389.241455078125
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_4.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_5.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_6.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_7.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_8.pth saved with loss: 2389.562255859375
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time_weighting_learning_rate_sweep/inverse/lr_0.600/controllers/controller_9.pth saved with loss: 2389.562255859375
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Loss unchanged for 5 epochs at epoch 9. Terminating training for inverse with learning rate 0.6.
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_1.pth saved with loss: 686.8750610351562
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_2.pth saved with loss: 2339.684814453125
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_3.pth saved with loss: 2294.93115234375
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_4.pth saved with loss: 1737.578369140625
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_5.pth saved with loss: 795.0547485351562
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_6.pth saved with loss: 72.47624206542969
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_7.pth saved with loss: 4.031853199005127
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_8.pth saved with loss: 1.4220737218856812
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_9.pth saved with loss: 1.207348346710205
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_10.pth saved with loss: 1.1726288795471191
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_11.pth saved with loss: 1.1506325006484985
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse/lr_0.500/controllers/controller_15.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for inverse with learning rate 0.5.
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_0.pth saved with loss: 15.663372039794922
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_1.pth saved with loss: 123.9660873413086
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_2.pth saved with loss: 1.7883206605911255
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_3.pth saved with loss: 1.941957950592041
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_4.pth saved with loss: 2.667868137359619
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_5.pth saved with loss: 1.3499913215637207
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_6.pth saved with loss: 1.3162555694580078
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_7.pth saved with loss: 1.2820606231689453
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_8.pth saved with loss: 1.248679518699646
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_11.pth saved with loss: 1.1656776666641235
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_12.pth saved with loss: 1.1418938636779785
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time_weighting_learning_rate_sweep/inverse/lr_0.400/controllers/controller_13.pth saved with loss: 1.119570255279541
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_181.pth saved with loss: 0.7616450786590576
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_184.pth saved with loss: 0.756174623966217
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_191.pth saved with loss: 0.7287655472755432
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_193.pth saved with loss: 0.7217444181442261
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_194.pth saved with loss: 0.7185381054878235
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_195.pth saved with loss: 0.715479850769043
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_196.pth saved with loss: 0.7124356627464294
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_197.pth saved with loss: 0.7087085843086243
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_198.pth saved with loss: 0.7061402797698975
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_199.pth saved with loss: 0.703540027141571
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time_weighting_learning_rate_sweep/inverse/lr_0.010/controllers/controller_200.pth saved with loss: 0.7007264494895935
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_1.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_2.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_3.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_4.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_5.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_16.000/controllers/controller_6.pth saved with loss: 2876.520751953125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared with learning rate 16.
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_1.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_2.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_3.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_4.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_5.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_8.000/controllers/controller_6.pth saved with loss: 2876.520751953125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared with learning rate 8.
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_1.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_2.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_3.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_4.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_5.pth saved with loss: 2876.520751953125
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time_weighting_learning_rate_sweep/inverse_squared/lr_4.000/controllers/controller_6.pth saved with loss: 2876.520751953125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared with learning rate 4.
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_1.pth saved with loss: 2876.136474609375
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_2.pth saved with loss: 863.2739868164062
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 2.
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_1.pth saved with loss: 2781.8369140625
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_2.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_3.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_4.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_5.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_6.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_1.000/controllers/controller_7.pth saved with loss: 2863.095947265625
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 1.
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_1.pth saved with loss: 2700.2294921875
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_2.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_3.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_4.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_5.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_6.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.900/controllers/controller_7.pth saved with loss: 2863.095947265625
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 0.9.
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_1.pth saved with loss: 2542.299072265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_2.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_3.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_4.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_5.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_6.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.800/controllers/controller_7.pth saved with loss: 2863.095947265625
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared with learning rate 0.8.
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_1.pth saved with loss: 2322.204833984375
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_2.pth saved with loss: 2862.691162109375
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_3.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_4.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_5.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_6.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_7.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.700/controllers/controller_8.pth saved with loss: 2863.095947265625
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_squared with learning rate 0.7.
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_1.pth saved with loss: 1866.0623779296875
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_2.pth saved with loss: 2856.182373046875
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_3.pth saved with loss: 2862.6337890625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_4.pth saved with loss: 2863.06884765625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_5.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_6.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_7.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_8.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_9.pth saved with loss: 2863.095947265625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.600/controllers/controller_10.pth saved with loss: 2863.095947265625
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Loss unchanged for 5 epochs at epoch 10. Terminating training for inverse_squared with learning rate 0.6.
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_1.pth saved with loss: 1085.288330078125
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_2.pth saved with loss: 2798.412841796875
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_3.pth saved with loss: 2752.143798828125
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_4.pth saved with loss: 2073.35791015625
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_5.pth saved with loss: 905.2445678710938
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_6.pth saved with loss: 119.20957946777344
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_7.pth saved with loss: 9.75479507446289
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_8.pth saved with loss: 3.494941473007202
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_9.pth saved with loss: 2.6711666584014893
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_10.pth saved with loss: 2.4652559757232666
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_11.pth saved with loss: 2.3907082080841064
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.500/controllers/controller_15.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for inverse_squared with learning rate 0.5.
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_1.pth saved with loss: 288.4366760253906
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_2.pth saved with loss: 3.3472957611083984
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_3.pth saved with loss: 3.7400496006011963
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_4.pth saved with loss: 4.651937484741211
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_5.pth saved with loss: 2.741330146789551
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_6.pth saved with loss: 2.601053237915039
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_7.pth saved with loss: 2.5424985885620117
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_8.pth saved with loss: 2.500849485397339
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_9.pth saved with loss: 2.4642269611358643
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_10.pth saved with loss: 2.431540012359619
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_11.pth saved with loss: 2.401414632797241
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_12.pth saved with loss: 2.2983970642089844
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_15.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.400/controllers/controller_16.pth saved with loss: nan
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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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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_0.pth saved with loss: 22.095075607299805
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_1.pth saved with loss: 31.221738815307617
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_2.pth saved with loss: 3.112255573272705
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_3.pth saved with loss: 2.900252103805542
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_4.pth saved with loss: 2.610888957977295
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_5.pth saved with loss: 2.387361764907837
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_6.pth saved with loss: 2.231126308441162
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_7.pth saved with loss: 2.1406047344207764
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_8.pth saved with loss: 2.1011104583740234
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_9.pth saved with loss: 2.069960832595825
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_10.pth saved with loss: 2.02765154838562
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_11.pth saved with loss: 1.9826548099517822
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_12.pth saved with loss: 1.9428565502166748
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time_weighting_learning_rate_sweep/inverse_squared/lr_0.300/controllers/controller_13.pth saved with loss: 1.9096951484680176
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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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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed with learning rate 16.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_8.000/controllers/controller_0.pth saved with loss: 27.12971305847168
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed with learning rate 8.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_4.000/controllers/controller_0.pth saved with loss: 27.12971305847168
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed with learning rate 4.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 2.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_1.pth saved with loss: 3140.62646484375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_2.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_3.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_4.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_5.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_6.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_1.000/controllers/controller_7.pth saved with loss: 3242.41162109375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 1.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_1.pth saved with loss: 3038.469970703125
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_2.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_3.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_4.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_5.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_6.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.900/controllers/controller_7.pth saved with loss: 3242.41162109375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 0.9.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_1.pth saved with loss: 2841.9189453125
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_2.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_3.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_4.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_5.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_6.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.800/controllers/controller_7.pth saved with loss: 3242.41162109375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed with learning rate 0.8.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_1.pth saved with loss: 2545.7900390625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_2.pth saved with loss: 3241.390625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_3.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_4.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_5.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_6.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_7.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.700/controllers/controller_8.pth saved with loss: 3242.41162109375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_cubed with learning rate 0.7.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_1.pth saved with loss: 1931.40673828125
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_2.pth saved with loss: 3233.32373046875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_3.pth saved with loss: 3241.359375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_4.pth saved with loss: 3242.302490234375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_5.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_6.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_7.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_8.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_9.pth saved with loss: 3242.41162109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.600/controllers/controller_10.pth saved with loss: 3242.41162109375
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Loss unchanged for 5 epochs at epoch 10. Terminating training for inverse_cubed with learning rate 0.6.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_1.pth saved with loss: 1080.4974365234375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_2.pth saved with loss: 3169.412109375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_3.pth saved with loss: 3093.86083984375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_4.pth saved with loss: 2324.89404296875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_5.pth saved with loss: 1297.96337890625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_6.pth saved with loss: 76.08409118652344
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_7.pth saved with loss: 2.7033472061157227
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_8.pth saved with loss: 2.826526403427124
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_9.pth saved with loss: 3.013382911682129
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_10.pth saved with loss: 3.149374008178711
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_11.pth saved with loss: 3.2575950622558594
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.500/controllers/controller_15.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 16. Terminating training for inverse_cubed with learning rate 0.5.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_1.pth saved with loss: 266.26031494140625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_2.pth saved with loss: 4.686159133911133
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_3.pth saved with loss: 4.821897506713867
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_4.pth saved with loss: 4.320993423461914
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_5.pth saved with loss: 3.4523444175720215
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_6.pth saved with loss: 3.3167638778686523
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_7.pth saved with loss: 3.2215054035186768
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_8.pth saved with loss: 3.1422550678253174
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_9.pth saved with loss: 3.0761942863464355
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_10.pth saved with loss: 3.0191023349761963
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_11.pth saved with loss: 2.9699223041534424
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_12.pth saved with loss: 2.9856200218200684
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_13.pth saved with loss: 8.732401847839355
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_14.pth saved with loss: 82.9572525024414
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_15.pth saved with loss: 713.96875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_16.pth saved with loss: 2025.201416015625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_17.pth saved with loss: 2717.021484375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_18.pth saved with loss: 2953.56396484375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_19.pth saved with loss: 2994.17919921875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_20.pth saved with loss: 2881.20947265625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_21.pth saved with loss: 2567.093505859375
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_22.pth saved with loss: 2146.655029296875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_23.pth saved with loss: 1619.5660400390625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_24.pth saved with loss: 1102.51123046875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_25.pth saved with loss: 717.6436157226562
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_26.pth saved with loss: 468.6149597167969
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_27.pth saved with loss: 298.03350830078125
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_28.pth saved with loss: 188.01480102539062
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_29.pth saved with loss: 117.47369384765625
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_30.pth saved with loss: 76.25564575195312
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_31.pth saved with loss: 53.97468566894531
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_32.pth saved with loss: 39.29145050048828
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_33.pth saved with loss: 29.31096839904785
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_34.pth saved with loss: 22.757909774780273
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_35.pth saved with loss: 17.081716537475586
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_36.pth saved with loss: 11.887883186340332
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_37.pth saved with loss: 8.052499771118164
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_38.pth saved with loss: 5.802879810333252
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_39.pth saved with loss: 4.410678386688232
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_40.pth saved with loss: 3.8419556617736816
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_41.pth saved with loss: 3.979961633682251
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_42.pth saved with loss: 3.9832403659820557
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_43.pth saved with loss: 3.9598305225372314
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_44.pth saved with loss: 3.9112958908081055
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_45.pth saved with loss: 3.8712735176086426
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_46.pth saved with loss: 3.8381664752960205
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_47.pth saved with loss: 3.8110408782958984
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_48.pth saved with loss: 3.787302255630493
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_49.pth saved with loss: 3.783799409866333
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_50.pth saved with loss: 3.77535343170166
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_51.pth saved with loss: 3.769078493118286
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_52.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_53.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_54.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.400/controllers/controller_55.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 56. Terminating training for inverse_cubed with learning rate 0.4.
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_0.pth saved with loss: 27.12971305847168
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_1.pth saved with loss: 28.31456184387207
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_2.pth saved with loss: 4.624358177185059
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_3.pth saved with loss: 4.472574710845947
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_4.pth saved with loss: 3.4743733406066895
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_5.pth saved with loss: 3.1341066360473633
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_6.pth saved with loss: 2.900212526321411
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_7.pth saved with loss: 2.736121654510498
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_8.pth saved with loss: 2.6175377368927
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_9.pth saved with loss: 2.5248260498046875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_10.pth saved with loss: 2.451521396636963
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_11.pth saved with loss: 2.3880770206451416
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_12.pth saved with loss: 2.3322958946228027
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_13.pth saved with loss: 2.2832882404327393
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_14.pth saved with loss: 2.2365870475769043
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_15.pth saved with loss: 2.1888673305511475
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_16.pth saved with loss: 2.141124963760376
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_17.pth saved with loss: 2.0941431522369385
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_18.pth saved with loss: 2.049769401550293
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_19.pth saved with loss: 2.008622884750366
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_20.pth saved with loss: 1.9704400300979614
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_21.pth saved with loss: 1.9352329969406128
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_22.pth saved with loss: 1.9023891687393188
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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_24.pth saved with loss: 1.8423701524734497
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_25.pth saved with loss: 1.8147335052490234
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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_27.pth saved with loss: 1.7624095678329468
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_28.pth saved with loss: 1.7370816469192505
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.300/controllers/controller_29.pth saved with loss: 1.7116608619689941
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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_0.010/controllers/controller_149.pth saved with loss: 1.7113691568374634
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_175.pth saved with loss: 1.651242733001709
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_176.pth saved with loss: 1.6489697694778442
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_180.pth saved with loss: 1.6435611248016357
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_181.pth saved with loss: 1.6420884132385254
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_182.pth saved with loss: 1.6404298543930054
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_183.pth saved with loss: 1.6377824544906616
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_184.pth saved with loss: 1.6366876363754272
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_185.pth saved with loss: 1.6359829902648926
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_186.pth saved with loss: 1.6343398094177246
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_187.pth saved with loss: 1.632550835609436
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_188.pth saved with loss: 1.6304033994674683
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_189.pth saved with loss: 1.629538893699646
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_190.pth saved with loss: 1.6282341480255127
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_191.pth saved with loss: 1.6271518468856812
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_192.pth saved with loss: 1.6268646717071533
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_193.pth saved with loss: 1.6260223388671875
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_194.pth saved with loss: 1.6247421503067017
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_195.pth saved with loss: 1.6231448650360107
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_196.pth saved with loss: 1.621718168258667
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_197.pth saved with loss: 1.621120572090149
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_198.pth saved with loss: 1.6200248003005981
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_199.pth saved with loss: 1.619065523147583
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time_weighting_learning_rate_sweep/inverse_cubed/lr_0.010/controllers/controller_200.pth saved with loss: 1.6180816888809204
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time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 31925.90625
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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_3.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_16.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for linear_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 250.16981506347656
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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_2.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_8.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for linear_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 31925.90625
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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_3.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_4.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for linear_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 31922.240234375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 3758.1083984375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/linear_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 30709.283203125
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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_3.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_1.000/controllers/controller_4.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_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 29724.357421875
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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_3.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_5.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
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 31762.892578125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 27906.0546875
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 31762.892578125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for linear_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 25531.16796875
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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_3.pth saved with loss: 31762.892578125
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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_5.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
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 31762.892578125
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Loss unchanged for 5 epochs at epoch 8. Terminating training for linear_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 20212.619140625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 31684.55859375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 31757.576171875
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 31762.533203125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 31762.892578125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 31762.892578125
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Loss unchanged for 5 epochs at epoch 10. Terminating training for linear_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 11499.3359375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 31049.5234375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 30958.478515625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 26935.70703125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 21758.06640625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 13401.3857421875
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 4981.80126953125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 881.1480102539062
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 13.013978958129883
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 31.232181549072266
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: 1419.423828125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: 31919.84375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: 31925.283203125
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_15.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_16.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_17.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_18.pth saved with loss: 31925.90625
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.500/controllers/controller_19.pth saved with loss: 31925.90625
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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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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 250.16981506347656
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 3124.86865234375
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 21.73473358154297
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 36.142234802246094
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 16.741289138793945
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 14.686822891235352
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 13.793562889099121
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 13.17497730255127
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_140.pth saved with loss: 6.280110836029053
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_175.pth saved with loss: 4.831740379333496
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_176.pth saved with loss: 4.745660781860352
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_178.pth saved with loss: 4.626039981842041
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_181.pth saved with loss: 4.582977294921875
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_182.pth saved with loss: 4.559873580932617
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_183.pth saved with loss: 4.52700662612915
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_184.pth saved with loss: 4.496830463409424
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_185.pth saved with loss: 4.451750755310059
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_186.pth saved with loss: 4.406407833099365
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_187.pth saved with loss: 4.4066362380981445
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_188.pth saved with loss: 4.391368389129639
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_189.pth saved with loss: 4.370344638824463
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_190.pth saved with loss: 4.3429036140441895
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_191.pth saved with loss: 4.312570571899414
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_192.pth saved with loss: 4.296023845672607
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_193.pth saved with loss: 4.277052879333496
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_194.pth saved with loss: 4.254538536071777
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_195.pth saved with loss: 4.234200477600098
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_196.pth saved with loss: 4.211484909057617
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_197.pth saved with loss: 4.185166358947754
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_198.pth saved with loss: 4.214677333831787
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 4.216820240020752
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time_weighting_learning_rate_sweep/linear_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 4.208740234375
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 9910.626953125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 9910.626953125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 9910.626953125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 9910.626953125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for quadratic_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 9845.5283203125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 6.564489364624023
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 8978.115234375
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 9846.0
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Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 8530.0576171875
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 9846.0
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Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 7763.013671875
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 9846.0
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Loss unchanged for 5 epochs at epoch 7. Terminating training for quadratic_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 5868.9296875
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 9843.640625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 9846.0
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Loss unchanged for 5 epochs at epoch 8. Terminating training for quadratic_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 3105.369384765625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 9819.306640625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 9834.8291015625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 9831.8701171875
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 9818.0693359375
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 9791.4228515625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 9757.396484375
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 9671.19140625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 8336.791015625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 9592.1640625
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: 9822.146484375
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: 9841.8095703125
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_13.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_14.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_15.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_16.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_17.pth saved with loss: 9846.0
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.600/controllers/controller_18.pth saved with loss: 9846.0
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Loss unchanged for 5 epochs at epoch 18. Terminating training for quadratic_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 99.56229400634766
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 735.147216796875
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 8984.443359375
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 13.156900405883789
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 11.05036449432373
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 12.757122039794922
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 13.071992874145508
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 10.597452163696289
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 10.671792030334473
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 11.983652114868164
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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_196.pth saved with loss: 2.9682083129882812
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.010/controllers/controller_197.pth saved with loss: 2.9618966579437256
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 2.9496960639953613
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time_weighting_learning_rate_sweep/quadratic_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 2.9466991424560547
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 4744.6787109375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 4744.6787109375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 4744.6787109375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 4744.6787109375
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 4730.83251953125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 5.124730110168457
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 4119.43798828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 4710.923828125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 3639.0068359375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 4710.923828125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 2888.184326171875
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 4710.923828125
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 2172.13330078125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 4710.068359375
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 4710.923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 4710.923828125
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Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 1242.067138671875
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 4695.6806640625
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 4699.46923828125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 4691.0185546875
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 4677.1220703125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 4644.107421875
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 4316.83544921875
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 3478.238525390625
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 2243.554931640625
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 847.5971069335938
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.600/controllers/controller_14.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for cubic_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 314.34442138671875
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 4145.65869140625
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 8.102828025817871
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 7.494869232177734
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 8.68233871459961
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 9.140067100524902
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 9.622515678405762
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 10.304070472717285
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 9.292510986328125
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for cubic_mirrored with learning rate 0.5.
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 53.319801330566406
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 50.648563385009766
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time_weighting_learning_rate_sweep/cubic_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 8.55200481414795
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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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Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_8.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 71006.21875
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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_3.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_4.000/controllers/controller_5.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
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Loss unchanged for 5 epochs at epoch 6. Terminating training for square_root_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 70972.5
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 22.73408317565918
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 67292.1171875
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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_3.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_1.000/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 64792.453125
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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_3.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.900/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 60295.6640625
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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_3.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.800/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for square_root_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 53664.828125
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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_3.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 70701.59375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for square_root_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 39824.3359375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 70529.09375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 70693.3984375
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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_5.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 70701.59375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.600/controllers/controller_8.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
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Loss unchanged for 5 epochs at epoch 9. Terminating training for square_root_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 20169.580078125
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 69188.0625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 67710.0703125
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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_5.pth saved with loss: 27178.53125
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 1195.4798583984375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 21.71302604675293
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 22.763479232788086
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 26.007081985473633
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 29.136579513549805
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: 31.8521785736084
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: 65956.78125
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: 71006.21875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.500/controllers/controller_15.pth saved with loss: 71006.21875
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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_17.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
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Loss unchanged for 5 epochs at epoch 18. Terminating training for square_root_mirrored with learning rate 0.5.
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 4066.74609375
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 25.84347152709961
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 33.18013000488281
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 24.108125686645508
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 18.539525985717773
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 17.58995246887207
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 16.840782165527344
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 16.15195655822754
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 15.525141716003418
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: 15.000173568725586
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: 14.586549758911133
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: 14.278099060058594
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_14.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_15.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.400/controllers/controller_16.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 17. Terminating training for square_root_mirrored with learning rate 0.4.
|
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_1.pth saved with loss: 504.04986572265625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_2.pth saved with loss: 29.25644302368164
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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_4.pth saved with loss: 26.751977920532227
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_5.pth saved with loss: 20.54332733154297
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_6.pth saved with loss: 16.877056121826172
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_7.pth saved with loss: 15.237258911132812
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_8.pth saved with loss: 15.5487060546875
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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_10.pth saved with loss: 13.61668872833252
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_11.pth saved with loss: 12.881878852844238
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_12.pth saved with loss: 12.53397274017334
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_13.pth saved with loss: 12.333929061889648
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_14.pth saved with loss: 12.169219017028809
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_15.pth saved with loss: 12.000025749206543
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_16.pth saved with loss: 11.815340042114258
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_17.pth saved with loss: 11.617063522338867
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_18.pth saved with loss: 11.408769607543945
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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_20.pth saved with loss: 10.980958938598633
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_21.pth saved with loss: 10.768643379211426
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_22.pth saved with loss: 10.563733100891113
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_23.pth saved with loss: 10.37044906616211
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_24.pth saved with loss: 10.19104290008545
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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_26.pth saved with loss: 9.878422737121582
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_27.pth saved with loss: 9.744662284851074
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_28.pth saved with loss: 9.616373062133789
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_29.pth saved with loss: 9.489035606384277
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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_31.pth saved with loss: 9.21961784362793
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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_33.pth saved with loss: 8.063982009887695
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_34.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_35.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_36.pth saved with loss: nan
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.300/controllers/controller_37.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 38. Terminating training for square_root_mirrored with learning rate 0.3.
|
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_0.pth saved with loss: 472.03131103515625
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_1.pth saved with loss: 328.1573486328125
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_2.pth saved with loss: 364.39324951171875
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_3.pth saved with loss: 31.002161026000977
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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_5.pth saved with loss: 29.239431381225586
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_6.pth saved with loss: 28.594139099121094
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_7.pth saved with loss: 27.785932540893555
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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/square_root_mirrored/lr_0.250/controllers/controller_9.pth saved with loss: 25.971424102783203
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_10.pth saved with loss: 25.035974502563477
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_11.pth saved with loss: 24.058813095092773
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_12.pth saved with loss: 23.03606414794922
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_13.pth saved with loss: 22.009601593017578
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.250/controllers/controller_14.pth saved with loss: 20.98329734802246
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 12.787980079650879
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time_weighting_learning_rate_sweep/square_root_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 12.746197700500488
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 96770.1328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 96770.1328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 96770.1328125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 96770.1328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for cubic_root_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 96646.5625
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 7.2633161544799805
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 89158.015625
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 96380.984375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 84804.3515625
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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_3.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.900/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 78400.9296875
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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_3.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.800/controllers/controller_6.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
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Loss unchanged for 5 epochs at epoch 7. Terminating training for cubic_root_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 66367.7109375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 96368.578125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 96380.984375
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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_5.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_6.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
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 96380.984375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for cubic_root_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 45775.93359375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 96178.5546875
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 96369.59375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 96380.984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 96380.984375
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Loss unchanged for 5 epochs at epoch 9. Terminating training for cubic_root_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 20722.400390625
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 94059.9140625
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 87355.1875
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 43245.546875
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 1076.577392578125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 43.8785400390625
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 47.48427963256836
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 48.926353454589844
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 59.5208625793457
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 44.5113639831543
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: 41.65046691894531
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: 40.13322067260742
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: 52.385528564453125
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: 356.2956848144531
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_15.pth saved with loss: 54.39165496826172
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_16.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_17.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_18.pth saved with loss: nan
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.500/controllers/controller_19.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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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 606.1986083984375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 3019.009521484375
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time_weighting_learning_rate_sweep/cubic_root_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 38.42874526977539
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 28506.94921875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 28506.94921875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 28506.94921875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 28506.94921875
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 28467.70703125
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 0.9552232027053833
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 26963.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 28434.833984375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 25620.671875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 28434.833984375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 21313.91015625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 28434.833984375
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 15202.1357421875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 28433.28515625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 28434.833984375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 28434.833984375
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 6486.37255859375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 28375.791015625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 28376.5703125
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 28202.478515625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 23100.681640625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 8428.63671875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 413.37872314453125
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 1.3775529861450195
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 13. Terminating training for inverse_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 271.5838623046875
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 1.8033311367034912
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 1.9317882061004639
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 1.894938588142395
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 1.4872627258300781
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 1.1583973169326782
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 1.2511214017868042
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 1.5288810729980469
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 34.022972106933594
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 19.399734497070312
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for inverse_mirrored with learning rate 0.5.
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 118.98458862304688
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 12.035469055175781
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 28320.31640625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 22977.822265625
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 22048.146484375
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 25297.0703125
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 9848.908203125
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 4.015556335449219
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 5.419307231903076
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 12.20499324798584
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: 21.36324691772461
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: 33.572654724121094
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: 43.84205627441406
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: 39.69121170043945
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_14.pth saved with loss: 25.13047218322754
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_15.pth saved with loss: 12.763236999511719
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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_17.pth saved with loss: 5.247854232788086
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_18.pth saved with loss: 3.994004249572754
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_19.pth saved with loss: 3.2974741458892822
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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_21.pth saved with loss: 2.693575620651245
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_22.pth saved with loss: 2.54392671585083
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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_24.pth saved with loss: 2.3493449687957764
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_25.pth saved with loss: 2.2801432609558105
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_26.pth saved with loss: 2.2223119735717773
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_27.pth saved with loss: 2.1730363368988037
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_28.pth saved with loss: 2.130439519882202
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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_30.pth saved with loss: 2.060157299041748
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_31.pth saved with loss: 2.031458854675293
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_32.pth saved with loss: 2.006171941757202
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_33.pth saved with loss: 1.9842044115066528
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_34.pth saved with loss: 1.9645462036132812
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_35.pth saved with loss: 1.9470897912979126
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_36.pth saved with loss: 1.9314258098602295
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_37.pth saved with loss: 1.9172407388687134
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_38.pth saved with loss: 1.9042695760726929
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_39.pth saved with loss: 1.8924119472503662
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_40.pth saved with loss: 1.8815839290618896
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_41.pth saved with loss: 1.8716026544570923
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_42.pth saved with loss: 1.8623570203781128
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_43.pth saved with loss: 1.853771448135376
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_44.pth saved with loss: 1.8457603454589844
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_45.pth saved with loss: 1.8382556438446045
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_46.pth saved with loss: 1.8311878442764282
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_47.pth saved with loss: 1.8245275020599365
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_48.pth saved with loss: 1.8182331323623657
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_49.pth saved with loss: 1.8122634887695312
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_50.pth saved with loss: 1.8065834045410156
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_51.pth saved with loss: 1.801156759262085
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_52.pth saved with loss: 1.795976161956787
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_53.pth saved with loss: 1.7910813093185425
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_54.pth saved with loss: 1.7863601446151733
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_55.pth saved with loss: 1.7818076610565186
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_56.pth saved with loss: 1.7773959636688232
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time_weighting_learning_rate_sweep/inverse_mirrored/lr_0.400/controllers/controller_57.pth saved with loss: 1.7731164693832397
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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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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared_mirrored with learning rate 16.
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 265.3622131347656
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_squared_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 265.3622131347656
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 59203.26953125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 62439.21875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 55912.42578125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 62439.21875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 46707.47265625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 62439.21875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_squared_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 33734.078125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 62436.953125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 62439.21875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 62439.21875
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_squared_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 15860.9775390625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 62325.515625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 62379.81640625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 62310.23046875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 61819.40234375
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 58379.16015625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 44791.0390625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 29133.533203125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_9.pth saved with loss: 26100.62890625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_10.pth saved with loss: 26191.78515625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_11.pth saved with loss: 26191.7578125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_12.pth saved with loss: 26643.279296875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_13.pth saved with loss: 30401.509765625
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_14.pth saved with loss: 33642.29296875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_15.pth saved with loss: 34379.43359375
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_16.pth saved with loss: 32445.1875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_17.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_18.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_19.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.600/controllers/controller_20.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 21. Terminating training for inverse_squared_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 1076.67529296875
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 5.949836730957031
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 47366.4453125
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 6.035224914550781
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 7.525753498077393
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 8.557132720947266
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 9.672903060913086
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 11.375807762145996
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 13. Terminating training for inverse_squared_mirrored with learning rate 0.5.
|
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_1.pth saved with loss: 43.634342193603516
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_2.pth saved with loss: 43.87071990966797
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_3.pth saved with loss: 0.9744042158126831
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_4.pth saved with loss: 2.0090606212615967
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_5.pth saved with loss: 2.9039292335510254
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_6.pth saved with loss: 1.1930429935455322
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_7.pth saved with loss: 1.2102395296096802
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_8.pth saved with loss: 1.404444694519043
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_9.pth saved with loss: 1.4429371356964111
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_10.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.400/controllers/controller_13.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 14. Terminating training for inverse_squared_mirrored with learning rate 0.4.
|
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_0.pth saved with loss: 265.3622131347656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_1.pth saved with loss: 24.403804779052734
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_2.pth saved with loss: 5.302168846130371
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_3.pth saved with loss: 6.417696952819824
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_4.pth saved with loss: 6.663599967956543
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_5.pth saved with loss: 11.640973091125488
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_6.pth saved with loss: 142.82875061035156
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_7.pth saved with loss: 113.84545135498047
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_8.pth saved with loss: 62.3697395324707
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_9.pth saved with loss: 16.519977569580078
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_10.pth saved with loss: 7.949100971221924
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_11.pth saved with loss: 5.860877990722656
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_12.pth saved with loss: 4.949398994445801
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_13.pth saved with loss: 4.419576168060303
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_14.pth saved with loss: 4.029250621795654
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_15.pth saved with loss: 3.723994255065918
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_16.pth saved with loss: 3.469531297683716
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_17.pth saved with loss: 3.2510628700256348
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_18.pth saved with loss: 3.0624468326568604
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_19.pth saved with loss: 2.8986306190490723
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_20.pth saved with loss: 2.756695032119751
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_21.pth saved with loss: 2.633244752883911
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_22.pth saved with loss: 2.5253117084503174
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_23.pth saved with loss: 2.429532527923584
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_24.pth saved with loss: 2.348453998565674
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_25.pth saved with loss: 2.279642343521118
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_26.pth saved with loss: 2.218674421310425
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_27.pth saved with loss: 2.163984537124634
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_28.pth saved with loss: 2.1132795810699463
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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_30.pth saved with loss: 1.726731538772583
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_31.pth saved with loss: 1.3960983753204346
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_32.pth saved with loss: 1.1001335382461548
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_33.pth saved with loss: 0.8328579664230347
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_34.pth saved with loss: 0.6273350119590759
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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_36.pth saved with loss: 0.6160061955451965
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_37.pth saved with loss: 0.8005059361457825
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_38.pth saved with loss: 1.2019392251968384
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_39.pth saved with loss: 1.8657622337341309
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_40.pth saved with loss: 2.605424642562866
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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_squared_mirrored/lr_0.300/controllers/controller_42.pth saved with loss: 4.901352882385254
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_43.pth saved with loss: 6.906239986419678
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_44.pth saved with loss: 9.240731239318848
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_45.pth saved with loss: 10.96189022064209
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_46.pth saved with loss: 12.211825370788574
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_47.pth saved with loss: 13.790351867675781
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_48.pth saved with loss: 14.575552940368652
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_49.pth saved with loss: 15.82691478729248
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_50.pth saved with loss: 16.886411666870117
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_51.pth saved with loss: 16.702396392822266
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_52.pth saved with loss: 17.762815475463867
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_53.pth saved with loss: 16.195615768432617
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_54.pth saved with loss: 14.999692916870117
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_55.pth saved with loss: 14.335841178894043
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_56.pth saved with loss: 15.605047225952148
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_57.pth saved with loss: 13.110873222351074
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_58.pth saved with loss: 13.206561088562012
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_59.pth saved with loss: 11.58869743347168
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_60.pth saved with loss: 9.78322696685791
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_61.pth saved with loss: 9.55672550201416
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_62.pth saved with loss: 10.893397331237793
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_63.pth saved with loss: 13.508940696716309
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_64.pth saved with loss: 27.169878005981445
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_65.pth saved with loss: 155.79678344726562
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_66.pth saved with loss: 19.736474990844727
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.300/controllers/controller_67.pth saved with loss: 13.121679306030273
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time_weighting_learning_rate_sweep/inverse_squared_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 2.575119733810425
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_1.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_2.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_3.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_4.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_5.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_16.000/controllers/controller_6.pth saved with loss: 78707.1328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed_mirrored with learning rate 16.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_1.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_2.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_3.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_4.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_5.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_8.000/controllers/controller_6.pth saved with loss: 78707.1328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed_mirrored with learning rate 8.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_1.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_2.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_3.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_4.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_5.pth saved with loss: 78707.1328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_4.000/controllers/controller_6.pth saved with loss: 78707.1328125
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Loss unchanged for 5 epochs at epoch 6. Terminating training for inverse_cubed_mirrored with learning rate 4.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_1.pth saved with loss: 78704.4140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_2.pth saved with loss: 1.5603140592575073
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_3.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_4.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_5.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_2.000/controllers/controller_6.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 2.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_1.pth saved with loss: 76239.328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_2.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_3.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_4.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_5.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_6.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_1.000/controllers/controller_7.pth saved with loss: 78500.046875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 1.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_1.pth saved with loss: 74006.375
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_2.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_3.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_4.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_5.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_6.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.900/controllers/controller_7.pth saved with loss: 78500.046875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 0.9.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_1.pth saved with loss: 68674.3359375
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_2.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_3.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_4.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_5.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_6.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.800/controllers/controller_7.pth saved with loss: 78500.046875
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Loss unchanged for 5 epochs at epoch 7. Terminating training for inverse_cubed_mirrored with learning rate 0.8.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_1.pth saved with loss: 59869.23828125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_2.pth saved with loss: 78492.6328125
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_3.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_4.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_5.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_6.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_7.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.700/controllers/controller_8.pth saved with loss: 78500.046875
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_cubed_mirrored with learning rate 0.7.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_1.pth saved with loss: 40741.2890625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_2.pth saved with loss: 78438.8515625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_3.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_4.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_5.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_6.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_7.pth saved with loss: 78500.046875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.600/controllers/controller_8.pth saved with loss: 78500.046875
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Loss unchanged for 5 epochs at epoch 8. Terminating training for inverse_cubed_mirrored with learning rate 0.6.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_0.pth saved with loss: 339.7125244140625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_1.pth saved with loss: 16351.451171875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_2.pth saved with loss: 77387.75
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_3.pth saved with loss: 73185.09375
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_4.pth saved with loss: 32617.43359375
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_5.pth saved with loss: 10.602575302124023
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_6.pth saved with loss: 6.613097190856934
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_7.pth saved with loss: 6.6182122230529785
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_8.pth saved with loss: 6.7574543952941895
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_9.pth saved with loss: 6.877490997314453
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_10.pth saved with loss: 6.96396541595459
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_11.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_12.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_13.pth saved with loss: nan
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.500/controllers/controller_14.pth saved with loss: nan
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Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for inverse_cubed_mirrored with learning rate 0.5.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.400/controllers/controller_0.pth saved with loss: 339.7125244140625
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Consecutive NaN detected for 5 epochs at epoch 15. Terminating training for inverse_cubed_mirrored with learning rate 0.4.
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.300/controllers/controller_0.pth saved with loss: 339.7125244140625
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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_80.pth saved with loss: 13.360575675964355
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_82.pth saved with loss: 13.529097557067871
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_83.pth saved with loss: 13.075002670288086
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_84.pth saved with loss: 12.600320816040039
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_85.pth saved with loss: 12.244044303894043
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_86.pth saved with loss: 11.704170227050781
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_87.pth saved with loss: 11.458518028259277
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_88.pth saved with loss: 11.174753189086914
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_89.pth saved with loss: 10.805512428283691
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_90.pth saved with loss: 10.368586540222168
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_91.pth saved with loss: 9.913079261779785
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_92.pth saved with loss: 9.411075592041016
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_93.pth saved with loss: 9.182594299316406
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_94.pth saved with loss: 8.775422096252441
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_95.pth saved with loss: 8.57878303527832
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_96.pth saved with loss: 8.069701194763184
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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_98.pth saved with loss: 7.006459712982178
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_99.pth saved with loss: 6.9091596603393555
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_100.pth saved with loss: 6.850782871246338
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_101.pth saved with loss: 6.7907586097717285
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_102.pth saved with loss: 6.725147724151611
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_103.pth saved with loss: 6.6661696434021
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_104.pth saved with loss: 6.609242916107178
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_105.pth saved with loss: 6.550628662109375
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_106.pth saved with loss: 6.489836692810059
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_107.pth saved with loss: 6.42885160446167
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_108.pth saved with loss: 6.370622158050537
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_109.pth saved with loss: 6.317517280578613
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_110.pth saved with loss: 6.26821756362915
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_111.pth saved with loss: 6.219040393829346
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_112.pth saved with loss: 6.170483589172363
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_113.pth saved with loss: 6.125767707824707
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_114.pth saved with loss: 6.085538387298584
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_115.pth saved with loss: 6.048455238342285
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_116.pth saved with loss: 6.013321876525879
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_117.pth saved with loss: 5.979485988616943
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_118.pth saved with loss: 5.946709156036377
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_119.pth saved with loss: 5.915010452270508
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_120.pth saved with loss: 5.8844194412231445
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_121.pth saved with loss: 5.854683876037598
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_122.pth saved with loss: 5.82512092590332
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_123.pth saved with loss: 5.795010089874268
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_124.pth saved with loss: 5.76404333114624
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_125.pth saved with loss: 5.73231840133667
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_126.pth saved with loss: 5.699886798858643
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_127.pth saved with loss: 5.66663932800293
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_128.pth saved with loss: 5.6322736740112305
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_129.pth saved with loss: 5.596395015716553
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_130.pth saved with loss: 5.558547496795654
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_131.pth saved with loss: 5.518427848815918
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_132.pth saved with loss: 5.4757232666015625
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_133.pth saved with loss: 5.430072784423828
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_134.pth saved with loss: 5.381085395812988
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_135.pth saved with loss: 5.328406810760498
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_136.pth saved with loss: 5.271753787994385
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_137.pth saved with loss: 5.211078643798828
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_138.pth saved with loss: 5.146767616271973
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_139.pth saved with loss: 5.080181121826172
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_140.pth saved with loss: 5.014427185058594
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_141.pth saved with loss: 4.954380035400391
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_142.pth saved with loss: 4.903672218322754
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_143.pth saved with loss: 4.853315830230713
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_144.pth saved with loss: 4.792120933532715
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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_146.pth saved with loss: 4.694891452789307
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_147.pth saved with loss: 4.665212154388428
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_148.pth saved with loss: 4.642251968383789
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_149.pth saved with loss: 4.622623920440674
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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_151.pth saved with loss: 4.585912704467773
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_152.pth saved with loss: 4.567272663116455
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_153.pth saved with loss: 4.548190116882324
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_154.pth saved with loss: 4.528778553009033
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_155.pth saved with loss: 4.509394645690918
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_156.pth saved with loss: 4.490363121032715
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_157.pth saved with loss: 4.471975326538086
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_158.pth saved with loss: 4.454426288604736
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_159.pth saved with loss: 4.437708377838135
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_160.pth saved with loss: 4.421684265136719
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_161.pth saved with loss: 4.406135082244873
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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_163.pth saved with loss: 4.37611722946167
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_164.pth saved with loss: 4.361776828765869
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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_166.pth saved with loss: 4.335125923156738
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_167.pth saved with loss: 4.322951793670654
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_168.pth saved with loss: 4.311593055725098
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_169.pth saved with loss: 4.300959587097168
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_170.pth saved with loss: 4.29089879989624
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_171.pth saved with loss: 4.281135082244873
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_172.pth saved with loss: 4.271332263946533
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_173.pth saved with loss: 4.261223316192627
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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_175.pth saved with loss: 4.239800930023193
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_176.pth saved with loss: 4.228647232055664
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_177.pth saved with loss: 4.217285633087158
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_178.pth saved with loss: 4.205714702606201
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_179.pth saved with loss: 4.193961143493652
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_180.pth saved with loss: 4.182162761688232
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_181.pth saved with loss: 4.17051362991333
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_182.pth saved with loss: 4.159147262573242
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_183.pth saved with loss: 4.148146152496338
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_184.pth saved with loss: 4.137485980987549
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_185.pth saved with loss: 4.127127647399902
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_186.pth saved with loss: 4.116962432861328
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_187.pth saved with loss: 4.106935501098633
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_188.pth saved with loss: 4.09696102142334
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_189.pth saved with loss: 4.0870184898376465
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_190.pth saved with loss: 4.077086448669434
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_191.pth saved with loss: 4.067191123962402
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_192.pth saved with loss: 4.057347774505615
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_193.pth saved with loss: 4.047576904296875
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_194.pth saved with loss: 4.037909507751465
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_195.pth saved with loss: 4.028326034545898
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_196.pth saved with loss: 4.018808364868164
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_197.pth saved with loss: 4.009352207183838
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_198.pth saved with loss: 3.9999425411224365
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_199.pth saved with loss: 3.9906182289123535
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time_weighting_learning_rate_sweep/inverse_cubed_mirrored/lr_0.010/controllers/controller_200.pth saved with loss: 3.9813995361328125
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Training complete. Models and logs are saved under respective directories for each learning rate and weight function.
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