Upload folder using huggingface_hub (part 3)

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

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+{
+  "yms": 20000000,
+  "prs": 0.3,
+  "rhos": 100,
+  "appx_vol": 0.00896361,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/Lego_Friends_Advent_Calendar/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': 20000000, 'prs': 0.3, 'rhos': 100, 'appx_vol': 0.00896361}
+will save in: cache/sim_objects/hf-gso/Lego_Friends_Advent_Calendar/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 117825.1875, lo: 659023104.0
+Training step: 1000, le: 387.8171081542969, lo: 89467.1953125
+Training step: 2000, le: 3392.898193359375, lo: 80171.90625
+Training step: 3000, le: 2752.469482421875, lo: 80205.015625
+Training step: 4000, le: 3404.747802734375, lo: 80077.9921875
+Training step: 5000, le: 4832.26318359375, lo: 70399.0703125
+Training step: 6000, le: 4935.4970703125, lo: 70123.4609375
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+Training step: 8000, le: 24540.103515625, lo: 26652.72265625
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+Training step: 10000, le: 29136.296875, lo: 8815.2275390625
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+Training step: 12000, le: 29587.875, lo: 7460.466796875
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+Training step: 19000, le: 30998.12890625, lo: 6338.47607421875
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+Training step: 23000, le: 31793.515625, lo: 6073.3857421875
+Training step: 24000, le: 32044.384765625, lo: 6216.5576171875
+Ended training in 819.0223236083984 seconds
+Cached training result in cache/sim_objects/hf-gso/Lego_Friends_Advent_Calendar/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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

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+size 18285512

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

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+{
+  "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": 20000000,
+  "prs": 0.3,
+  "rhos": 100,
+  "appx_vol": 0.00896361
+}

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

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+{
+  "yms": 31000,
+  "prs": 0.3,
+  "rhos": 72,
+  "appx_vol": 0.004909782,
+  "name": "rho-medium_yms-medium_prs-medium"
+}

gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/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': 37, 'training_num_steps': 25000, 'yms': 31000, 'prs': 0.3, 'rhos': 72, 'appx_vol': 0.004909782}
+will save in: cache/sim_objects/hf-gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
+Training step: 0, le: 124.98534393310547, lo: 411302912.0
+Training step: 1000, le: 0.20945699512958527, lo: 26251.59375
+Training step: 2000, le: 0.6567401885986328, lo: 26113.482421875
+Training step: 3000, le: 3.190617322921753, lo: 25421.10546875
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+Training step: 24000, le: 357.7787780761719, lo: 9250.52734375
+Ended training in 2065.477215051651 seconds
+Cached training result in cache/sim_objects/hf-gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2eabb4f3f39ed1182cbe19e96c9d83aa78b149a20bb0ba9620f550302b0c5497
+size 11837795

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

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+{
+  "num_samples": 4096,
+  "training_batch_size": 20,
+  "training_lr_start": 0.001,
+  "training_lr_end": 0.0001,
+  "model_layers": 10,
+  "num_handles": 37,
+  "training_num_steps": 25000,
+  "yms": 31000,
+  "prs": 0.3,
+  "rhos": 72,
+  "appx_vol": 0.004909782
+}

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

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+{
+  "yms": 2000,
+  "prs": 0.3,
+  "rhos": 72,
+  "appx_vol": 0.004909782,
+  "name": "rho-medium_yms-softer_prs-medium"
+}

gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/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': 40, 'training_num_steps': 25000, 'yms': 2000, 'prs': 0.3, 'rhos': 72, 'appx_vol': 0.004909782}
+will save in: cache/sim_objects/hf-gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
+Training step: 0, le: 15.264841079711914, lo: 802376832.0
+Training step: 1000, le: 0.03884065896272659, lo: 24313.765625
+Training step: 2000, le: 0.04797961935400963, lo: 24256.56640625
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+Training step: 23000, le: 8.865500450134277, lo: 16044.3857421875
+Training step: 24000, le: 16.19084358215332, lo: 12649.5576171875
+Ended training in 2221.0658354759216 seconds
+Cached training result in cache/sim_objects/hf-gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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

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+version https://git-lfs.github.com/spec/v1
+oid sha256:28a5ba973fe436360dd95fa8b1ded5b3983e9425a14c4ab4bde24e1993358177
+size 11838115

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

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+{
+  "num_samples": 4096,
+  "training_batch_size": 20,
+  "training_lr_start": 0.001,
+  "training_lr_end": 0.0001,
+  "model_layers": 10,
+  "num_handles": 40,
+  "training_num_steps": 25000,
+  "yms": 2000,
+  "prs": 0.3,
+  "rhos": 72,
+  "appx_vol": 0.004909782
+}

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

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+{
+  "yms": 60000,
+  "prs": 0.3,
+  "rhos": 72,
+  "appx_vol": 0.004909782,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/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': 35, 'training_num_steps': 25000, 'yms': 60000, 'prs': 0.3, 'rhos': 72, 'appx_vol': 0.004909782}
+will save in: cache/sim_objects/hf-gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 425.35455322265625, lo: 1291262848.0
+Training step: 1000, le: 0.5958907008171082, lo: 27723.64453125
+Training step: 2000, le: 0.7136616110801697, lo: 27710.744140625
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+Training step: 24000, le: 1119.276123046875, lo: 446.6824645996094
+Ended training in 1963.4358551502228 seconds
+Cached training result in cache/sim_objects/hf-gso/Lovable_Huggable_Cuddly_Boutique_Teddy_Bear_Beige/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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

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

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+{
+  "num_samples": 4096,
+  "training_batch_size": 20,
+  "training_lr_start": 0.001,
+  "training_lr_end": 0.0001,
+  "model_layers": 10,
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+  "training_num_steps": 25000,
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+  "prs": 0.3,
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+  "appx_vol": 0.004909782
+}

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

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+{
+  "yms": 640000000,
+  "prs": 0.35,
+  "rhos": 625,
+  "appx_vol": 0.001155596,
+  "name": "rho-medium_yms-medium_prs-medium"
+}

gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/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': 640000000, 'prs': 0.35, 'rhos': 625, 'appx_vol': 0.001155596}
+will save in: cache/sim_objects/hf-gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
+Training step: 0, le: 747757.6875, lo: 726574848.0
+Training step: 1000, le: 2145.58935546875, lo: 90150.9765625
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+Training step: 24000, le: 1872.0921630859375, lo: 90025.7421875
+Ended training in 816.2175731658936 seconds
+Cached training result in cache/sim_objects/hf-gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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

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+size 4076067

gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/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,
+  "training_lr_start": 0.001,
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+}

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

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+{
+  "yms": 80000000,
+  "prs": 0.35,
+  "rhos": 625,
+  "appx_vol": 0.001155596,
+  "name": "rho-medium_yms-softer_prs-medium"
+}

gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/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': 80000000, 'prs': 0.35, 'rhos': 625, 'appx_vol': 0.001155596}
+will save in: cache/sim_objects/hf-gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
+Training step: 0, le: 74409.3359375, lo: 348913024.0
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+Training step: 24000, le: 44038.12890625, lo: 12948.01953125
+Ended training in 830.2032680511475 seconds
+Cached training result in cache/sim_objects/hf-gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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

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

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+}

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

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+{
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+  "prs": 0.35,
+  "rhos": 625,
+  "appx_vol": 0.001155596,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/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': 1200000000, 'prs': 0.35, 'rhos': 625, 'appx_vol': 0.001155596}
+will save in: cache/sim_objects/hf-gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 1429356.375, lo: 840447168.0
+Training step: 1000, le: 3163.080078125, lo: 90772.046875
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+Training step: 24000, le: 3455.085205078125, lo: 90094.875
+Ended training in 827.8535387516022 seconds
+Cached training result in cache/sim_objects/hf-gso/Marvel_Avengers_Titan_Hero_Series_Doctor_Doom/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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

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+size 4080648

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

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+{
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gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.json

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+{
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+  "prs": 0.37,
+  "rhos": 280,
+  "appx_vol": 0.001940708,
+  "name": "rho-medium_yms-medium_prs-medium"
+}

gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/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': 41500000, 'prs': 0.37, 'rhos': 280, 'appx_vol': 0.001940708}
+will save in: cache/sim_objects/hf-gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
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+Training step: 24000, le: 37644.07421875, lo: 17979.04296875
+Ended training in 834.9030294418335 seconds
+Cached training result in cache/sim_objects/hf-gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium_trainargs.json

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gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.json

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+{
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+  "appx_vol": 0.001940708,
+  "name": "rho-medium_yms-softer_prs-medium"
+}

gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/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': 3000000, 'prs': 0.37, 'rhos': 280, 'appx_vol': 0.001940708}
+will save in: cache/sim_objects/hf-gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
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+Ended training in 832.6614091396332 seconds
+Cached training result in cache/sim_objects/hf-gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.json

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+{
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+  "name": "rho-medium_yms-stiffer_prs-medium"
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gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/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/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
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+Ended training in 837.3089592456818 seconds
+Cached training result in cache/sim_objects/hf-gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

gso/Mens_ASV_Billfish_Boat_Shoe_in_Tan_Leather_wmUJ5PbwANc/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt

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+}

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

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+{
+  "yms": 425000000,
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+  "name": "rho-medium_yms-medium_prs-medium"
+}

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

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+Training simplicits object: 
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+will save in: cache/sim_objects/hf-gso/My_Little_Pony_Princess_Celestia/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt
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+Training step: 23000, le: 26450.927734375, lo: 38044.58984375
+Training step: 24000, le: 26695.646484375, lo: 38541.984375
+Ended training in 839.8894114494324 seconds
+Cached training result in cache/sim_objects/hf-gso/My_Little_Pony_Princess_Celestia/MLP-10_smooth_h-10-40/rho-medium_yms-medium_prs-medium.pt

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

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+oid sha256:50fc8ec364975d3ae5db5e5e7c338c6f3220a6047499c9b280bad4df64401440
+size 5204195

gso/My_Little_Pony_Princess_Celestia/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,
+  "training_lr_start": 0.001,
+  "training_lr_end": 0.0001,
+  "model_layers": 10,
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+  "yms": 425000000,
+  "prs": 0.35,
+  "rhos": 450,
+  "appx_vol": 0.001631631
+}

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

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+{
+  "yms": 50000000,
+  "prs": 0.35,
+  "rhos": 450,
+  "appx_vol": 0.001631631,
+  "name": "rho-medium_yms-softer_prs-medium"
+}

gso/My_Little_Pony_Princess_Celestia/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': 50000000, 'prs': 0.35, 'rhos': 450, 'appx_vol': 0.001631631}
+will save in: cache/sim_objects/hf-gso/My_Little_Pony_Princess_Celestia/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt
+Training step: 0, le: 11340.1162109375, lo: 80218416.0
+Training step: 1000, le: 2170.807861328125, lo: 80111.171875
+Training step: 2000, le: 1688.6903076171875, lo: 80052.6953125
+Training step: 3000, le: 8529.3427734375, lo: 50935.5625
+Training step: 4000, le: 6280.36669921875, lo: 40207.3359375
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+Training step: 23000, le: 8560.1396484375, lo: 1243.5877685546875
+Training step: 24000, le: 7971.07373046875, lo: 1657.1610107421875
+Ended training in 843.1282076835632 seconds
+Cached training result in cache/sim_objects/hf-gso/My_Little_Pony_Princess_Celestia/MLP-10_smooth_h-10-40/rho-medium_yms-softer_prs-medium.pt

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

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+size 5206051

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

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+{
+  "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": 50000000,
+  "prs": 0.35,
+  "rhos": 450,
+  "appx_vol": 0.001631631
+}

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

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+{
+  "yms": 800000000,
+  "prs": 0.35,
+  "rhos": 450,
+  "appx_vol": 0.001631631,
+  "name": "rho-medium_yms-stiffer_prs-medium"
+}

gso/My_Little_Pony_Princess_Celestia/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': 800000000, 'prs': 0.35, 'rhos': 450, 'appx_vol': 0.001631631}
+will save in: cache/sim_objects/hf-gso/My_Little_Pony_Princess_Celestia/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt
+Training step: 0, le: 680847.6875, lo: 1490051968.0
+Training step: 1000, le: 1931.882080078125, lo: 90047.203125
+Training step: 2000, le: 1852.3121337890625, lo: 90078.1015625
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+Training step: 23000, le: 1642.7196044921875, lo: 89911.8828125
+Training step: 24000, le: 1523.254150390625, lo: 90085.5859375
+Ended training in 837.8751401901245 seconds
+Cached training result in cache/sim_objects/hf-gso/My_Little_Pony_Princess_Celestia/MLP-10_smooth_h-10-40/rho-medium_yms-stiffer_prs-medium.pt