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gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.json

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+{
+  "yms": 1050000000,
+  "prs": 0.3,
+  "rhos": 410,
+  "appx_vol": 0.002255097,
+  "name": "rho-medium_yms-medium_prs-medium"
+}

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.log

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+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 10, 'training_num_steps': 25000, 'yms': 1050000000, 'prs': 0.3, 'rhos': 410, 'appx_vol': 0.002255097}
+will save in: cache/sim_objects/hf-gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
+Training step: 0, le: 4702045.5, lo: 1233389440.0
+Training step: 1000, le: 4535.19091796875, lo: 94669.5859375
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+Training step: 24000, le: 4250.95068359375, lo: 93134.0234375
+Ended training in 841.7490241527557 seconds
+Cached training result in cache/sim_objects/hf-gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium_trainargs.json

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+{
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+  "training_batch_size": 20,
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+  "prs": 0.3,
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+}

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.json

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+{
+  "yms": 100000000,
+  "prs": 0.3,
+  "rhos": 410,
+  "appx_vol": 0.002255097,
+  "name": "rho-medium_yms-softer_prs-medium"
+}

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.log

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+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 10, 'training_num_steps': 25000, 'yms': 100000000, 'prs': 0.3, 'rhos': 410, 'appx_vol': 0.002255097}
+will save in: cache/sim_objects/hf-gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
+Training step: 0, le: 708115.375, lo: 3334809856.0
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+Training step: 24000, le: 14030.4599609375, lo: 69517.5234375
+Ended training in 833.0169458389282 seconds
+Cached training result in cache/sim_objects/hf-gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium_trainargs.json

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+{
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+}

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.json

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+{
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+  "prs": 0.3,
+  "rhos": 410,
+  "appx_vol": 0.002255097,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.log

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+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 10, 'training_num_steps': 25000, 'yms': 2000000000, 'prs': 0.3, 'rhos': 410, 'appx_vol': 0.002255097}
+will save in: cache/sim_objects/hf-gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 11373687.0, lo: 1715219968.0
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+Training step: 24000, le: 131.5550994873047, lo: 99909.9296875
+Ended training in 839.0878620147705 seconds
+Cached training result in cache/sim_objects/hf-gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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gso/2_of_Jenga_Classic_Game/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium_trainargs.json

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+{
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+  "model_layers": 10,
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+}

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.json

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+{
+  "yms": 10150000,
+  "prs": 0.35,
+  "rhos": 125,
+  "appx_vol": 0.002385096,
+  "name": "rho-medium_yms-medium_prs-medium"
+}

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.log

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+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 10, 'training_num_steps': 25000, 'yms': 10150000, 'prs': 0.35, 'rhos': 125, 'appx_vol': 0.002385096}
+will save in: cache/sim_objects/hf-gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
+Training step: 0, le: 21616.673828125, lo: 553650752.0
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+Training step: 24000, le: 15690.5498046875, lo: 1737.4168701171875
+Ended training in 820.0138311386108 seconds
+Cached training result in cache/sim_objects/hf-gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium_trainargs.json

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+{
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+}

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.json

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+{
+  "yms": 300000,
+  "prs": 0.35,
+  "rhos": 125,
+  "appx_vol": 0.002385096,
+  "name": "rho-medium_yms-softer_prs-medium"
+}

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.log

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+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 22, 'training_num_steps': 25000, 'yms': 300000, 'prs': 0.35, 'rhos': 125, 'appx_vol': 0.002385096}
+will save in: cache/sim_objects/hf-gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
+Training step: 0, le: 1422.7388916015625, lo: 853010048.0
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+Training step: 24000, le: 2390.043212890625, lo: 417.4891662597656
+Ended training in 1337.1895952224731 seconds
+Cached training result in cache/sim_objects/hf-gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium_trainargs.json

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+{
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gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.json

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+{
+  "yms": 20000000,
+  "prs": 0.35,
+  "rhos": 125,
+  "appx_vol": 0.002385096,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.log

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+Training simplicits object: 
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+will save in: cache/sim_objects/hf-gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 43392.74609375, lo: 417477280.0
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+Training step: 24000, le: 31290.06640625, lo: 3613.537841796875
+Ended training in 804.7920820713043 seconds
+Cached training result in cache/sim_objects/hf-gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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gso/ASICS_GELLinksmaster_WhiteCoffeeSand/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium_trainargs.json

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.json

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+  "name": "rho-medium_yms-medium_prs-medium"
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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.log

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+will save in: cache/sim_objects/hf-gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
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+Training step: 24000, le: 15074.1220703125, lo: 2448.52294921875
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+Cached training result in cache/sim_objects/hf-gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium_trainargs.json

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.json

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.log

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+will save in: cache/sim_objects/hf-gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
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+Cached training result in cache/sim_objects/hf-gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium_trainargs.json

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.json

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.log

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+will save in: cache/sim_objects/hf-gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
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+Cached training result in cache/sim_objects/hf-gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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gso/Animal_Planet_Foam_2Headed_Dragon/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium_trainargs.json

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gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.json

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gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.log

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+will save in: cache/sim_objects/hf-gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
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+Cached training result in cache/sim_objects/hf-gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.json

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gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.log

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+will save in: cache/sim_objects/hf-gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
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+Cached training result in cache/sim_objects/hf-gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.json

@@ -0,0 +1,7 @@
+{
+  "yms": 800000,
+  "prs": 0.3,
+  "rhos": 40,
+  "appx_vol": 0.005088581,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.log

@@ -0,0 +1,30 @@
+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 12, 'training_num_steps': 25000, 'yms': 800000, 'prs': 0.3, 'rhos': 40, 'appx_vol': 0.005088581}
+will save in: cache/sim_objects/hf-gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 2538.05517578125, lo: 1040205568.0
+Training step: 1000, le: 9.132862091064453, lo: 76149.8828125
+Training step: 2000, le: 100.46772003173828, lo: 69328.4453125
+Training step: 3000, le: 235.1946563720703, lo: 62516.29296875
+Training step: 4000, le: 167.85174560546875, lo: 62512.93359375
+Training step: 5000, le: 223.12901306152344, lo: 62517.8203125
+Training step: 6000, le: 182.78379821777344, lo: 62579.85546875
+Training step: 7000, le: 248.1050262451172, lo: 55599.7734375
+Training step: 8000, le: 285.427734375, lo: 55572.64453125
+Training step: 9000, le: 236.42703247070312, lo: 55548.23046875
+Training step: 10000, le: 635.3353271484375, lo: 41791.5
+Training step: 11000, le: 2399.926513671875, lo: 1100.1868896484375
+Training step: 12000, le: 1997.0263671875, lo: 1371.9676513671875
+Training step: 13000, le: 1969.6639404296875, lo: 962.5905151367188
+Training step: 14000, le: 2078.171630859375, lo: 1101.2620849609375
+Training step: 15000, le: 1997.484375, lo: 1589.181884765625
+Training step: 16000, le: 1968.0955810546875, lo: 880.89013671875
+Training step: 17000, le: 1821.6490478515625, lo: 868.7037353515625
+Training step: 18000, le: 1936.9234619140625, lo: 880.8849487304688
+Training step: 19000, le: 1756.879150390625, lo: 854.3259887695312
+Training step: 20000, le: 1762.329345703125, lo: 737.87109375
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+Training step: 23000, le: 1645.242431640625, lo: 429.3734130859375
+Training step: 24000, le: 1766.682861328125, lo: 622.97265625
+Ended training in 915.1817831993103 seconds
+Cached training result in cache/sim_objects/hf-gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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+oid sha256:e1e18de51107135a179adc3f6d31e5459f4a4688d25c935da57953c891c107f1
+size 15100296

gso/Avengers_Gamma_Green_Smash_Fists/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium_trainargs.json

@@ -0,0 +1,13 @@
+{
+  "num_samples": 4096,
+  "training_batch_size": 20,
+  "training_lr_start": 0.001,
+  "training_lr_end": 0.0001,
+  "model_layers": 10,
+  "num_handles": 12,
+  "training_num_steps": 25000,
+  "yms": 800000,
+  "prs": 0.3,
+  "rhos": 40,
+  "appx_vol": 0.005088581
+}

gso/Avengers_Thor_PLlrpYniaeB/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.json

@@ -0,0 +1,7 @@
+{
+  "yms": 31500000,
+  "prs": 0.3,
+  "rhos": 75,
+  "appx_vol": 0.003475886,
+  "name": "rho-medium_yms-medium_prs-medium"
+}

gso/Avengers_Thor_PLlrpYniaeB/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.log

@@ -0,0 +1,30 @@
+Training simplicits object: 
+{'num_samples': 4096, 'training_batch_size': 20, 'training_lr_start': 0.001, 'training_lr_end': 0.0001, 'model_layers': 10, 'num_handles': 10, 'training_num_steps': 25000, 'yms': 31500000, 'prs': 0.3, 'rhos': 75, 'appx_vol': 0.003475886}
+will save in: cache/sim_objects/hf-gso/Avengers_Thor_PLlrpYniaeB/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
+Training step: 0, le: 61630.8828125, lo: 2357744128.0
+Training step: 1000, le: 167.16720581054688, lo: 89572.34375
+Training step: 2000, le: 1339.2420654296875, lo: 80024.453125
+Training step: 3000, le: 1230.521728515625, lo: 79942.4296875
+Training step: 4000, le: 2126.465087890625, lo: 70048.8125
+Training step: 5000, le: 1995.8485107421875, lo: 70029.96875
+Training step: 6000, le: 1873.8656005859375, lo: 69737.1875
+Training step: 7000, le: 3832.697265625, lo: 60141.3359375
+Training step: 8000, le: 3211.72021484375, lo: 60024.6640625
+Training step: 9000, le: 8763.3271484375, lo: 31372.07421875
+Training step: 10000, le: 13335.1357421875, lo: 2675.30029296875
+Training step: 11000, le: 11728.9150390625, lo: 2083.830078125
+Training step: 12000, le: 12673.8955078125, lo: 2579.454833984375
+Training step: 13000, le: 12712.4365234375, lo: 3431.546142578125
+Training step: 14000, le: 12702.0302734375, lo: 1628.236328125
+Training step: 15000, le: 11421.9873046875, lo: 1755.818115234375
+Training step: 16000, le: 12913.126953125, lo: 1751.0538330078125
+Training step: 17000, le: 12003.185546875, lo: 1842.755615234375
+Training step: 18000, le: 10686.08984375, lo: 1665.9095458984375
+Training step: 19000, le: 11215.6474609375, lo: 1787.36669921875
+Training step: 20000, le: 12462.5458984375, lo: 1215.8466796875
+Training step: 21000, le: 11453.8740234375, lo: 1517.2117919921875
+Training step: 22000, le: 10208.880859375, lo: 1898.040771484375
+Training step: 23000, le: 10918.080078125, lo: 1470.2960205078125
+Training step: 24000, le: 11098.97265625, lo: 1289.675537109375
+Ended training in 828.2342281341553 seconds
+Cached training result in cache/sim_objects/hf-gso/Avengers_Thor_PLlrpYniaeB/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt