{
  "apical_warmup": {
    "last": {
      "calibration_mse": 290.18821185568106,
      "prediction_target_cosine": 0.00037572678598497784,
      "target_power": 290.188232421875
    },
    "steps": 100
  },
  "architecture": {
    "adaptive_apical_parameters": 390592,
    "base_width": 16,
    "blocks_per_stage": 3,
    "bn_eps": 1e-05,
    "bn_momentum": 0.1,
    "depth": 20,
    "family": "CIFAR 6n+2 ResNet, option-A shortcuts",
    "fixed_traffic_coefficients": 188416,
    "forward_parameters": 269722,
    "hidden_shapes": [
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        16,
        32,
        32
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        32,
        16,
        16
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ],
      [
        64,
        8,
        8
      ]
    ],
    "normalization": "batchnorm",
    "predictor_parameters": 376832,
    "residual_scale": 1.0,
    "vectorizer_mode": "channel_gated",
    "vectorizer_parameters": 13760
  },
  "args": {
    "a_scale": 1.0,
    "a_warmup_steps": 100,
    "alignment_probe": 32,
    "apical_seed": null,
    "augment_train": 1,
    "batch_size": 128,
    "bn_eps": 1e-05,
    "bn_momentum": 0.1,
    "data_dir": "/home/yurenh2/sdrn/data",
    "depth": 20,
    "device": "cuda:0",
    "epochs": 200,
    "eta_A": 0.001,
    "eta_P": 0.01,
    "eval_every": 20,
    "eval_split": "validation",
    "learn_P": 0,
    "loader_seed": 0,
    "lr": 0.03,
    "lr_gamma": 0.1,
    "lr_milestones": "100,150",
    "lr_schedule": "step",
    "max_steps": 0,
    "mode": "sdil",
    "momentum": 0.9,
    "normalization": "batchnorm",
    "nuisance_scale": 0.0,
    "out": "results/oral_a_dev/sdil_full_r20_s0.json",
    "output_lr": 0.1,
    "pert_directions": 1,
    "pert_every": 4,
    "pert_sigma": 0.01,
    "perturb_seed": 1000,
    "predictor_warmup_steps": 0,
    "residual_scale": null,
    "seed": 0,
    "split_seed": 2027,
    "train_limit": 0,
    "use_residual": 1,
    "val_examples": 5000,
    "vectorizer_mode": "channel_gated",
    "warmup_epochs": 0,
    "weight_decay": 0.0001,
    "weight_scale": 1.0,
    "width": 16
  },
  "counters": {
    "apical_warmup_examples": 12800,
    "calibration_event_examples": 2265600,
    "causal_scalar_observations": 35400,
    "logical_batch_loss_queries": 35400,
    "ordinary_examples": 9000000,
    "per_example_loss_terms": 4531200,
    "perturbation_events": 17700,
    "perturbation_forward_examples": 4531200,
    "predictor_warmup_examples": 0
  },
  "diagnostics": {
    "early_third_mean": NaN,
    "innovation_negative_gradient_cosine": [
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN
    ],
    "normalization_state": "training_batch_stats_without_running_update",
    "raw_negative_gradient_cosine": [
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN
    ],
    "teaching_negative_gradient_cosine": [
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN,
      NaN
    ],
    "wall_s": 0.12295675277709961
  },
  "epochs": [
    {
      "calibration": {
        "calibration_mse": 142.26092846940978,
        "prediction_target_cosine": -5.120151685872971e-06,
        "target_power": 142.2609250246797
      },
      "epoch": 1,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 352,
      "train_examples": 45000,
      "train_loss": 2.4248756050109863
    },
    {
      "calibration": {
        "calibration_mse": 170.77780406192872,
        "prediction_target_cosine": 2.130938988042182e-05,
        "target_power": 170.77779697238105
      },
      "epoch": 2,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 704,
      "train_examples": 45000,
      "train_loss": 2.3075676691691083
    },
    {
      "calibration": {
        "calibration_mse": 189.64478362977627,
        "prediction_target_cosine": 1.9699343209067078e-05,
        "target_power": 189.64478348164448
      },
      "epoch": 3,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 1056,
      "train_examples": 45000,
      "train_loss": 2.2274199758105806
    },
    {
      "calibration": {
        "calibration_mse": 195.31212744229245,
        "prediction_target_cosine": 1.3287171579791927e-05,
        "target_power": 195.3121247766815
      },
      "epoch": 4,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 1408,
      "train_examples": 45000,
      "train_loss": 2.236113543404473
    },
    {
      "calibration": {
        "calibration_mse": 131.69457619605973,
        "prediction_target_cosine": -1.9181219483840043e-05,
        "target_power": 131.6945734072933
      },
      "epoch": 5,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 1760,
      "train_examples": 45000,
      "train_loss": 2.1845484929402668
    },
    {
      "calibration": {
        "calibration_mse": 214.62042681660435,
        "prediction_target_cosine": 1.5224048789643175e-05,
        "target_power": 214.62042582989946
      },
      "epoch": 6,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 2112,
      "train_examples": 45000,
      "train_loss": 2.2274387500339086
    },
    {
      "calibration": {
        "calibration_mse": 249.44172076644045,
        "prediction_target_cosine": 4.735744266223287e-06,
        "target_power": 249.4417245881502
      },
      "epoch": 7,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 2464,
      "train_examples": 45000,
      "train_loss": 2.1511679939058093
    },
    {
      "calibration": {
        "calibration_mse": 241.9874178501962,
        "prediction_target_cosine": 2.871340625625777e-05,
        "target_power": 241.98741854901007
      },
      "epoch": 8,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 2816,
      "train_examples": 45000,
      "train_loss": 2.3858975699106852
    },
    {
      "calibration": {
        "calibration_mse": 230.36731525985041,
        "prediction_target_cosine": 2.7813335307394514e-05,
        "target_power": 230.36731070333818
      },
      "epoch": 9,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 3168,
      "train_examples": 45000,
      "train_loss": 2.324350842836168
    },
    {
      "calibration": {
        "calibration_mse": 261.16900031712544,
        "prediction_target_cosine": 4.56942525344397e-05,
        "target_power": 261.1689959096285
      },
      "epoch": 10,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 3520,
      "train_examples": 45000,
      "train_loss": 2.4430940684424507
    },
    {
      "calibration": {
        "calibration_mse": 362.4051081771026,
        "prediction_target_cosine": 1.7848043967156622e-05,
        "target_power": 362.4051154071001
      },
      "epoch": 11,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 3872,
      "train_examples": 45000,
      "train_loss": 3.116123947270711
    },
    {
      "calibration": {
        "calibration_mse": 315.3471581766424,
        "prediction_target_cosine": 7.536274067643723e-05,
        "target_power": 315.34715614577004
      },
      "epoch": 12,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 4224,
      "train_examples": 45000,
      "train_loss": 3.264699432796902
    },
    {
      "calibration": {
        "calibration_mse": 356.58399579827153,
        "prediction_target_cosine": 7.467543063446071e-05,
        "target_power": 356.5839798142434
      },
      "epoch": 13,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 4576,
      "train_examples": 45000,
      "train_loss": 3.3854243429395887
    },
    {
      "calibration": {
        "calibration_mse": 404.3220514495382,
        "prediction_target_cosine": 1.593798731590023e-05,
        "target_power": 404.3220492818434
      },
      "epoch": 14,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 4928,
      "train_examples": 45000,
      "train_loss": 3.636718994225396
    },
    {
      "calibration": {
        "calibration_mse": 352.03641794218316,
        "prediction_target_cosine": 6.031522331721257e-05,
        "target_power": 352.0364126960632
      },
      "epoch": 15,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 5280,
      "train_examples": 45000,
      "train_loss": 3.9225536643981935
    },
    {
      "calibration": {
        "calibration_mse": 383.77995509406725,
        "prediction_target_cosine": -2.535504656905698e-05,
        "target_power": 383.77994124611956
      },
      "epoch": 16,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 5632,
      "train_examples": 45000,
      "train_loss": 3.6204674806806776
    },
    {
      "calibration": {
        "calibration_mse": 453.1726072217989,
        "prediction_target_cosine": 3.8347924248536074e-05,
        "target_power": 453.17260394038516
      },
      "epoch": 17,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 5984,
      "train_examples": 45000,
      "train_loss": 3.735507978439331
    },
    {
      "calibration": {
        "calibration_mse": 494.781739041651,
        "prediction_target_cosine": 1.6093348730532647e-05,
        "target_power": 494.7817316142686
      },
      "epoch": 18,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 6336,
      "train_examples": 45000,
      "train_loss": 4.134002408599853
    },
    {
      "calibration": {
        "calibration_mse": 529.3938995664971,
        "prediction_target_cosine": 4.966474897062738e-05,
        "target_power": 529.3938993744242
      },
      "epoch": 19,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 6688,
      "train_examples": 45000,
      "train_loss": 4.730613648139106
    },
    {
      "calibration": {
        "calibration_mse": 492.22622147554415,
        "prediction_target_cosine": -9.188050003749003e-06,
        "target_power": 492.22621874637883
      },
      "epoch": 20,
      "eval_accuracy": 0.3526,
      "eval_loss": 5.06778037109375,
      "eval_split": "validation",
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 7040,
      "train_examples": 45000,
      "train_loss": 4.28790976164076
    },
    {
      "calibration": {
        "calibration_mse": 631.5754133367934,
        "prediction_target_cosine": 4.641877463523035e-05,
        "target_power": 631.5754141588454
      },
      "epoch": 21,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 7392,
      "train_examples": 45000,
      "train_loss": 4.931362113444011
    },
    {
      "calibration": {
        "calibration_mse": 705.0312621907254,
        "prediction_target_cosine": 1.5874308489431493e-06,
        "target_power": 705.0312680084065
      },
      "epoch": 22,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 7744,
      "train_examples": 45000,
      "train_loss": 6.228103899637858
    },
    {
      "calibration": {
        "calibration_mse": 869.3405450967323,
        "prediction_target_cosine": 5.1928815228082084e-05,
        "target_power": 869.3405314628545
      },
      "epoch": 23,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 8096,
      "train_examples": 45000,
      "train_loss": 6.058901812065972
    },
    {
      "calibration": {
        "calibration_mse": 1030.0436134480512,
        "prediction_target_cosine": -1.108869497719368e-05,
        "target_power": 1030.0436205758303
      },
      "epoch": 24,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 8448,
      "train_examples": 45000,
      "train_loss": 6.3764598000420465
    },
    {
      "calibration": {
        "calibration_mse": 875.4920511692325,
        "prediction_target_cosine": 5.024974477863364e-05,
        "target_power": 875.4920396014695
      },
      "epoch": 25,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 8800,
      "train_examples": 45000,
      "train_loss": 6.072056756337484
    },
    {
      "calibration": {
        "calibration_mse": 1216.320880951809,
        "prediction_target_cosine": 3.563140890986608e-05,
        "target_power": 1216.320865344337
      },
      "epoch": 26,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 9152,
      "train_examples": 45000,
      "train_loss": 6.714967920769586
    },
    {
      "calibration": {
        "calibration_mse": 1006.585065626843,
        "prediction_target_cosine": 1.5808554377597195e-06,
        "target_power": 1006.5850547987287
      },
      "epoch": 27,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 9504,
      "train_examples": 45000,
      "train_loss": 6.634224433220758
    },
    {
      "calibration": {
        "calibration_mse": 1293.9108654121094,
        "prediction_target_cosine": 3.434976504469591e-05,
        "target_power": 1293.910856750407
      },
      "epoch": 28,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 9856,
      "train_examples": 45000,
      "train_loss": 7.361039043850369
    },
    {
      "calibration": {
        "calibration_mse": 1168.6127594745396,
        "prediction_target_cosine": 2.05039191501232e-05,
        "target_power": 1168.6127624916053
      },
      "epoch": 29,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 10208,
      "train_examples": 45000,
      "train_loss": 6.89228710776435
    },
    {
      "calibration": {
        "calibration_mse": 1217.4179927003038,
        "prediction_target_cosine": 4.899155528236468e-05,
        "target_power": 1217.4179925077221
      },
      "epoch": 30,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 10560,
      "train_examples": 45000,
      "train_loss": 7.254968173641629
    },
    {
      "calibration": {
        "calibration_mse": 1323.2104840733284,
        "prediction_target_cosine": 1.2728994554210635e-05,
        "target_power": 1323.2104647397446
      },
      "epoch": 31,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 10912,
      "train_examples": 45000,
      "train_loss": 7.389020330980089
    },
    {
      "calibration": {
        "calibration_mse": 1377.2780309310072,
        "prediction_target_cosine": 4.572166737244789e-06,
        "target_power": 1377.2780412487361
      },
      "epoch": 32,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 11264,
      "train_examples": 45000,
      "train_loss": 8.22750666724311
    },
    {
      "calibration": {
        "calibration_mse": 1521.2079438092298,
        "prediction_target_cosine": 3.9589531839474834e-05,
        "target_power": 1521.2079332335866
      },
      "epoch": 33,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 11616,
      "train_examples": 45000,
      "train_loss": 8.618234800889757
    },
    {
      "calibration": {
        "calibration_mse": 1714.481807423439,
        "prediction_target_cosine": 6.564467478941335e-05,
        "target_power": 1714.481808286175
      },
      "epoch": 34,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 11968,
      "train_examples": 45000,
      "train_loss": 9.987927119106716
    },
    {
      "calibration": {
        "calibration_mse": 1286.147588690169,
        "prediction_target_cosine": 5.3948176124196105e-05,
        "target_power": 1286.1475643246129
      },
      "epoch": 35,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 12320,
      "train_examples": 45000,
      "train_loss": 10.262047458733452
    },
    {
      "calibration": {
        "calibration_mse": 1889.400973652684,
        "prediction_target_cosine": 3.526118696767705e-05,
        "target_power": 1889.4009319308236
      },
      "epoch": 36,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 12672,
      "train_examples": 45000,
      "train_loss": 12.48206615854899
    },
    {
      "calibration": {
        "calibration_mse": 2847.7376760077254,
        "prediction_target_cosine": 5.890126577784353e-05,
        "target_power": 2847.737692615025
      },
      "epoch": 37,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 13024,
      "train_examples": 45000,
      "train_loss": 11.426354922146267
    },
    {
      "calibration": {
        "calibration_mse": 2254.2651952857327,
        "prediction_target_cosine": 3.57443530697733e-05,
        "target_power": 2254.265174126908
      },
      "epoch": 38,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 13376,
      "train_examples": 45000,
      "train_loss": 14.126089464314779
    },
    {
      "calibration": {
        "calibration_mse": 3570.404625115017,
        "prediction_target_cosine": 1.6840951784089786e-05,
        "target_power": 3570.404574593537
      },
      "epoch": 39,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 13728,
      "train_examples": 45000,
      "train_loss": 15.35085629848904
    },
    {
      "calibration": {
        "calibration_mse": 3347.859104873937,
        "prediction_target_cosine": -1.6028913891638828e-05,
        "target_power": 3347.859035403952
      },
      "epoch": 40,
      "eval_accuracy": 0.2844,
      "eval_loss": 17.8836359375,
      "eval_split": "validation",
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 14080,
      "train_examples": 45000,
      "train_loss": 16.475267074924044
    },
    {
      "calibration": {
        "calibration_mse": 3620.2920621072526,
        "prediction_target_cosine": 1.7698698598729218e-05,
        "target_power": 3620.2919751598897
      },
      "epoch": 41,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 14432,
      "train_examples": 45000,
      "train_loss": 18.26095764126248
    },
    {
      "calibration": {
        "calibration_mse": 3372.267064184442,
        "prediction_target_cosine": 4.054439075274129e-05,
        "target_power": 3372.2671280799823
      },
      "epoch": 42,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 14784,
      "train_examples": 45000,
      "train_loss": 18.189921793789335
    },
    {
      "calibration": {
        "calibration_mse": 5057.76865694964,
        "prediction_target_cosine": 3.154939702252931e-05,
        "target_power": 5057.768832532961
      },
      "epoch": 43,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 15136,
      "train_examples": 45000,
      "train_loss": 20.16826618448893
    },
    {
      "calibration": {
        "calibration_mse": 6378.545264090003,
        "prediction_target_cosine": 1.666679367705587e-05,
        "target_power": 6378.545273705433
      },
      "epoch": 44,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 15488,
      "train_examples": 45000,
      "train_loss": 21.47305562693278
    },
    {
      "calibration": {
        "calibration_mse": 3860.1069145137853,
        "prediction_target_cosine": 4.1874467305640655e-05,
        "target_power": 3860.1068515447773
      },
      "epoch": 45,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 15840,
      "train_examples": 45000,
      "train_loss": 23.228443602159288
    },
    {
      "calibration": {
        "calibration_mse": 4111.717137232277,
        "prediction_target_cosine": 2.0983340366496623e-05,
        "target_power": 4111.717064274953
      },
      "epoch": 46,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 16192,
      "train_examples": 45000,
      "train_loss": 26.718320481363932
    },
    {
      "calibration": {
        "calibration_mse": 6623.266515922787,
        "prediction_target_cosine": 3.414601460981923e-05,
        "target_power": 6623.266473941065
      },
      "epoch": 47,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 16544,
      "train_examples": 45000,
      "train_loss": 26.138589851548936
    },
    {
      "calibration": {
        "calibration_mse": 6087.71189168614,
        "prediction_target_cosine": 3.873974129150477e-05,
        "target_power": 6087.711752356744
      },
      "epoch": 48,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 16896,
      "train_examples": 45000,
      "train_loss": 30.99675353325738
    },
    {
      "calibration": {
        "calibration_mse": 7202.803725531746,
        "prediction_target_cosine": 7.462676452085615e-05,
        "target_power": 7202.803723873826
      },
      "epoch": 49,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 17248,
      "train_examples": 45000,
      "train_loss": 28.21036580980089
    },
    {
      "calibration": {
        "calibration_mse": 6134.1136319374145,
        "prediction_target_cosine": 4.322624471257815e-05,
        "target_power": 6134.113787830583
      },
      "epoch": 50,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 17600,
      "train_examples": 45000,
      "train_loss": 29.816331009928387
    },
    {
      "calibration": {
        "calibration_mse": 6723.329940029519,
        "prediction_target_cosine": 3.244871155240453e-05,
        "target_power": 6723.330072100454
      },
      "epoch": 51,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 17952,
      "train_examples": 45000,
      "train_loss": 29.147723817952475
    },
    {
      "calibration": {
        "calibration_mse": 7977.255477374929,
        "prediction_target_cosine": 3.6955415995607416e-06,
        "target_power": 7977.255535312789
      },
      "epoch": 52,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 18304,
      "train_examples": 45000,
      "train_loss": 34.91372113986545
    },
    {
      "calibration": {
        "calibration_mse": 10323.407597489067,
        "prediction_target_cosine": -9.126162131415332e-06,
        "target_power": 10323.407674211876
      },
      "epoch": 53,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 18656,
      "train_examples": 45000,
      "train_loss": 37.32762109103733
    },
    {
      "calibration": {
        "calibration_mse": 9520.888989746127,
        "prediction_target_cosine": 3.946130177208881e-05,
        "target_power": 9520.888864434637
      },
      "epoch": 54,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 19008,
      "train_examples": 45000,
      "train_loss": 36.95214984266493
    },
    {
      "calibration": {
        "calibration_mse": 10012.82621979749,
        "prediction_target_cosine": 4.050476833716903e-05,
        "target_power": 10012.826482390583
      },
      "epoch": 55,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 19360,
      "train_examples": 45000,
      "train_loss": 39.117197730848524
    },
    {
      "calibration": {
        "calibration_mse": 12023.639591636726,
        "prediction_target_cosine": 2.3378804475242e-06,
        "target_power": 12023.639589814331
      },
      "epoch": 56,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 19712,
      "train_examples": 45000,
      "train_loss": 42.929720042588976
    },
    {
      "calibration": {
        "calibration_mse": 13326.782062088076,
        "prediction_target_cosine": 5.352798341532508e-05,
        "target_power": 13326.782067844993
      },
      "epoch": 57,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 20064,
      "train_examples": 45000,
      "train_loss": 44.34269226142035
    },
    {
      "calibration": {
        "calibration_mse": 12457.90936806135,
        "prediction_target_cosine": 3.586177762983611e-05,
        "target_power": 12457.909191807737
      },
      "epoch": 58,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 20416,
      "train_examples": 45000,
      "train_loss": 53.25831157972548
    },
    {
      "calibration": {
        "calibration_mse": 14505.218685153437,
        "prediction_target_cosine": -9.702282143099002e-06,
        "target_power": 14505.218814834778
      },
      "epoch": 59,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 20768,
      "train_examples": 45000,
      "train_loss": 56.738197840711805
    },
    {
      "calibration": {
        "calibration_mse": 12104.714603378052,
        "prediction_target_cosine": 4.038185739212611e-05,
        "target_power": 12104.714606234214
      },
      "epoch": 60,
      "eval_accuracy": 0.3084,
      "eval_loss": 48.81988203125,
      "eval_split": "validation",
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 21120,
      "train_examples": 45000,
      "train_loss": 61.89007039523654
    },
    {
      "calibration": {
        "calibration_mse": 16957.135531766136,
        "prediction_target_cosine": 6.391218994340552e-05,
        "target_power": 16957.13540488458
      },
      "epoch": 61,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 21472,
      "train_examples": 45000,
      "train_loss": 66.32816502956814
    },
    {
      "calibration": {
        "calibration_mse": 23589.800162002968,
        "prediction_target_cosine": 3.869866879570572e-05,
        "target_power": 23589.800378499753
      },
      "epoch": 62,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 21824,
      "train_examples": 45000,
      "train_loss": 66.4304635281033
    },
    {
      "calibration": {
        "calibration_mse": 17063.567628094486,
        "prediction_target_cosine": 1.2365923320404936e-05,
        "target_power": 17063.567225467075
      },
      "epoch": 63,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 22176,
      "train_examples": 45000,
      "train_loss": 61.848114156765405
    },
    {
      "calibration": {
        "calibration_mse": 20145.622601572708,
        "prediction_target_cosine": 4.975189064002332e-05,
        "target_power": 20145.62256209558
      },
      "epoch": 64,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 22528,
      "train_examples": 45000,
      "train_loss": 63.27609741210937
    },
    {
      "calibration": {
        "calibration_mse": 23949.849978939816,
        "prediction_target_cosine": 5.491976438560331e-05,
        "target_power": 23949.849776010742
      },
      "epoch": 65,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 22880,
      "train_examples": 45000,
      "train_loss": 70.30348611246745
    },
    {
      "calibration": {
        "calibration_mse": 23350.559424263887,
        "prediction_target_cosine": 3.549862288294985e-05,
        "target_power": 23350.55949317043
      },
      "epoch": 66,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 23232,
      "train_examples": 45000,
      "train_loss": 76.89770236002605
    },
    {
      "calibration": {
        "calibration_mse": 24210.404024987594,
        "prediction_target_cosine": 3.108741730684027e-05,
        "target_power": 24210.403118962826
      },
      "epoch": 67,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 23584,
      "train_examples": 45000,
      "train_loss": 108.41309141710069
    },
    {
      "calibration": {
        "calibration_mse": 23079.73656247355,
        "prediction_target_cosine": -3.70013756328733e-05,
        "target_power": 23079.735782427273
      },
      "epoch": 68,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 23936,
      "train_examples": 45000,
      "train_loss": 116.28849081217447
    },
    {
      "calibration": {
        "calibration_mse": 51396.446248936576,
        "prediction_target_cosine": 8.923274095527056e-06,
        "target_power": 51396.44616932927
      },
      "epoch": 69,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 24288,
      "train_examples": 45000,
      "train_loss": 143.1851363172743
    },
    {
      "calibration": {
        "calibration_mse": 45116.00593224062,
        "prediction_target_cosine": 1.567150501795464e-05,
        "target_power": 45116.00633214868
      },
      "epoch": 70,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 24640,
      "train_examples": 45000,
      "train_loss": 146.16235985243057
    },
    {
      "calibration": {
        "calibration_mse": 63617.30153912576,
        "prediction_target_cosine": 9.694315162471824e-07,
        "target_power": 63617.30126043931
      },
      "epoch": 71,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 24992,
      "train_examples": 45000,
      "train_loss": 167.29566240505642
    },
    {
      "calibration": {
        "calibration_mse": 59029.095404237036,
        "prediction_target_cosine": -3.8879670438084225e-06,
        "target_power": 59029.095730216126
      },
      "epoch": 72,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 25344,
      "train_examples": 45000,
      "train_loss": 201.25478683946397
    },
    {
      "calibration": {
        "calibration_mse": 93548.83073081424,
        "prediction_target_cosine": 4.02229294978188e-05,
        "target_power": 93548.83068157091
      },
      "epoch": 73,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 25696,
      "train_examples": 45000,
      "train_loss": 255.2457300889757
    },
    {
      "calibration": {
        "calibration_mse": 125623.44832417759,
        "prediction_target_cosine": 4.708052744506203e-05,
        "target_power": 125623.44980211217
      },
      "epoch": 74,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 26048,
      "train_examples": 45000,
      "train_loss": 343.87444676649307
    },
    {
      "calibration": {
        "calibration_mse": 124640.97399765471,
        "prediction_target_cosine": -5.064306365835342e-06,
        "target_power": 124640.97530615279
      },
      "epoch": 75,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 26400,
      "train_examples": 45000,
      "train_loss": 360.54264365234377
    },
    {
      "calibration": {
        "calibration_mse": 241851.34037842014,
        "prediction_target_cosine": 7.968131389886469e-05,
        "target_power": 241851.3417864261
      },
      "epoch": 76,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 26752,
      "train_examples": 45000,
      "train_loss": 398.3567958170573
    },
    {
      "calibration": {
        "calibration_mse": 199514.99018743765,
        "prediction_target_cosine": 1.9350905005203684e-05,
        "target_power": 199514.99037634814
      },
      "epoch": 77,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 27104,
      "train_examples": 45000,
      "train_loss": 469.2747630533854
    },
    {
      "calibration": {
        "calibration_mse": 162271.13078702174,
        "prediction_target_cosine": 2.5799827295987502e-05,
        "target_power": 162271.1310087966
      },
      "epoch": 78,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 27456,
      "train_examples": 45000,
      "train_loss": 518.902432779948
    },
    {
      "calibration": {
        "calibration_mse": 329178.31447980023,
        "prediction_target_cosine": 3.2362186994689176e-05,
        "target_power": 329178.313448186
      },
      "epoch": 79,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 27808,
      "train_examples": 45000,
      "train_loss": 620.2860517686632
    },
    {
      "calibration": {
        "calibration_mse": 364280.45720910426,
        "prediction_target_cosine": 6.468792391264821e-05,
        "target_power": 364280.45838307025
      },
      "epoch": 80,
      "eval_accuracy": 0.2282,
      "eval_loss": 1080.0792,
      "eval_split": "validation",
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 28160,
      "train_examples": 45000,
      "train_loss": 666.1459060112848
    },
    {
      "calibration": {
        "calibration_mse": 560786.7693639989,
        "prediction_target_cosine": 5.0133754272917375e-05,
        "target_power": 560786.7724463422
      },
      "epoch": 81,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 28512,
      "train_examples": 45000,
      "train_loss": 852.9150838324653
    },
    {
      "calibration": {
        "calibration_mse": 448151.9335011955,
        "prediction_target_cosine": 2.266160576744399e-05,
        "target_power": 448151.9326951098
      },
      "epoch": 82,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 28864,
      "train_examples": 45000,
      "train_loss": 789.5596756944444
    },
    {
      "calibration": {
        "calibration_mse": 570399.1552796762,
        "prediction_target_cosine": 2.8400752579445593e-05,
        "target_power": 570399.1497913705
      },
      "epoch": 83,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 29216,
      "train_examples": 45000,
      "train_loss": 839.9816970811632
    },
    {
      "calibration": {
        "calibration_mse": 1514968.9443011982,
        "prediction_target_cosine": 3.440886662575942e-05,
        "target_power": 1514968.9244389588
      },
      "epoch": 84,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 29568,
      "train_examples": 45000,
      "train_loss": 963.7592224826388
    },
    {
      "calibration": {
        "calibration_mse": 5975441.481893999,
        "prediction_target_cosine": 8.508675264290486e-05,
        "target_power": 5975441.54251376
      },
      "epoch": 85,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 29920,
      "train_examples": 45000,
      "train_loss": 1105.7151870008681
    },
    {
      "calibration": {
        "calibration_mse": 54027101.58410685,
        "prediction_target_cosine": -7.730766330982968e-06,
        "target_power": 54027105.346407585
      },
      "epoch": 86,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 30272,
      "train_examples": 45000,
      "train_loss": 2679.8837784722223
    },
    {
      "calibration": {
        "calibration_mse": 302564393899.4321,
        "prediction_target_cosine": 1.4983485078330897e-05,
        "target_power": 302564383414.18854
      },
      "epoch": 87,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 30624,
      "train_examples": 45000,
      "train_loss": 35881231.129456945
    },
    {
      "calibration": {
        "calibration_mse": 324392029489.5691,
        "prediction_target_cosine": -3.0267985399461017e-05,
        "target_power": 324392029090.9091
      },
      "epoch": 88,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 30976,
      "train_examples": 45000,
      "train_loss": 62859708.14577778
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 89,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 31328,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 90,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 31680,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 91,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 32032,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 92,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 32384,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 93,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 32736,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 94,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 33088,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 95,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 33440,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 96,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 33792,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 97,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 34144,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 98,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 34496,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 99,
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 34848,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 100,
      "eval_accuracy": 0.1,
      "eval_loss": NaN,
      "eval_split": "validation",
      "lr": 0.03,
      "output_lr": 0.1,
      "step": 35200,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 101,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 35552,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 102,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 35904,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 103,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 36256,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 104,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 36608,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 105,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 36960,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 106,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 37312,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 107,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 37664,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 108,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 38016,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 109,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 38368,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 110,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 38720,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 111,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 39072,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 112,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 39424,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 113,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 39776,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 114,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 40128,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 115,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 40480,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 116,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 40832,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 117,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 41184,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 118,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 41536,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 119,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 41888,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 120,
      "eval_accuracy": 0.1,
      "eval_loss": NaN,
      "eval_split": "validation",
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 42240,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 121,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 42592,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 122,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 42944,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 123,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 43296,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 124,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 43648,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 125,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 44000,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 126,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 44352,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 127,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 44704,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 128,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 45056,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 129,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 45408,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 130,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 45760,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 131,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 46112,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 132,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 46464,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 133,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 46816,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 134,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 47168,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 135,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 47520,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 136,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 47872,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 137,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 48224,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 138,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 48576,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 139,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 48928,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 140,
      "eval_accuracy": 0.1,
      "eval_loss": NaN,
      "eval_split": "validation",
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 49280,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 141,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 49632,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 142,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 49984,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 143,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 50336,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 144,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 50688,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 145,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 51040,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 146,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 51392,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 147,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 51744,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 148,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 52096,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 149,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 52448,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 150,
      "lr": 0.003,
      "output_lr": 0.010000000000000002,
      "step": 52800,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 151,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 53152,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 152,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 53504,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 153,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 53856,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 154,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 54208,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 155,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 54560,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 156,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 54912,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 157,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 55264,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 158,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 55616,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 159,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 55968,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 160,
      "eval_accuracy": 0.1,
      "eval_loss": NaN,
      "eval_split": "validation",
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 56320,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 161,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 56672,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 162,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 57024,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 163,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 57376,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 164,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 57728,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 165,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 58080,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 166,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 58432,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 167,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 58784,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 168,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 59136,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 169,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 59488,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 170,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 59840,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 171,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 60192,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 172,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 60544,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 173,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 60896,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 174,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 61248,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 175,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 61600,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 176,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 61952,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 177,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 62304,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 178,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 62656,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 179,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 63008,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 180,
      "eval_accuracy": 0.1,
      "eval_loss": NaN,
      "eval_split": "validation",
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 63360,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 181,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 63712,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 182,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 64064,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 183,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 64416,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 184,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 64768,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 185,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 65120,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 186,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 65472,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 187,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 65824,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 188,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 66176,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 189,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 66528,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 190,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 66880,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 191,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 67232,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 192,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 67584,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 193,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 67936,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 194,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 68288,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 195,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 68640,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 196,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 68992,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 197,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 69344,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 198,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 69696,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 199,
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 70048,
      "train_examples": 45000,
      "train_loss": NaN
    },
    {
      "calibration": {
        "calibration_mse": NaN,
        "prediction_target_cosine": NaN,
        "target_power": NaN
      },
      "epoch": 200,
      "eval_accuracy": 0.1,
      "eval_loss": NaN,
      "eval_split": "validation",
      "lr": 0.00030000000000000003,
      "output_lr": 0.0010000000000000002,
      "step": 70400,
      "train_examples": 45000,
      "train_loss": NaN
    }
  ],
  "evaluation_protocol": {
    "test_evaluations": 0,
    "test_used_for_selection": false,
    "validation_evaluations": 11
  },
  "final": {
    "accuracy": 0.1,
    "epoch": 200,
    "evaluation_split": "validation",
    "finite": false,
    "loss": NaN,
    "step": 70400
  },
  "hardware": {
    "cuda_device_name": "NVIDIA GeForce GTX 1080",
    "cuda_visible_devices": "5",
    "device": "cuda:0",
    "device_total_memory_bytes": 8507949056,
    "peak_memory_allocated_bytes": 2164377600,
    "peak_memory_reserved_bytes": 3202351104,
    "torch_version": "2.3.1+cu118"
  },
  "protocol_family": "oral_a_cifar_local_resnet_development",
  "provenance": {
    "git_commit": "a1d060e6d96d4ab973d16cd75149dd61899c7c95",
    "git_tracked_dirty": false
  },
  "schema_version": 1,
  "split": {
    "cifar_source_files": [
      {
        "bytes": 31035704,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_1",
        "sha256": "54636561a3ce25bd3e19253c6b0d8538147b0ae398331ac4a2d86c6d987368cd"
      },
      {
        "bytes": 31035320,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_2",
        "sha256": "766b2cef9fbc745cf056b3152224f7cf77163b330ea9a15f9392beb8b89bc5a8"
      },
      {
        "bytes": 31035999,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_3",
        "sha256": "0f00d98ebfb30b3ec0ad19f9756dc2630b89003e10525f5e148445e82aa6a1f9"
      },
      {
        "bytes": 31035696,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_4",
        "sha256": "3f7bb240661948b8f4d53e36ec720d8306f5668bd0071dcb4e6c947f78e9682b"
      },
      {
        "bytes": 31035623,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/data_batch_5",
        "sha256": "d91802434d8376bbaeeadf58a737e3a1b12ac839077e931237e0dcd43adcb154"
      },
      {
        "bytes": 31035526,
        "path": "/home/yurenh2/sdrn/data/cifar-10-batches-py/test_batch",
        "sha256": "f53d8d457504f7cff4ea9e021afcf0e0ad8e24a91f3fc42091b8adef61157831"
      }
    ],
    "dataset": "cifar10",
    "evaluation_split": "validation",
    "input_layout": "NCHW",
    "input_shape": [
      3,
      32,
      32
    ],
    "loader_seed": 0,
    "normalization_mean": [
      0.49140000343322754,
      0.4821999967098236,
      0.4465000033378601
    ],
    "normalization_std": [
      0.24699999392032623,
      0.2434999942779541,
      0.26159998774528503
    ],
    "split_from_training_only": true,
    "split_seed": 2027,
    "test_examples": 10000,
    "train_examples": 45000,
    "training_augmentation": "random_crop_32_padding_4_zero_then_horizontal_flip_p0.5",
    "validation_class_counts": {
      "0": 500,
      "1": 500,
      "2": 500,
      "3": 500,
      "4": 500,
      "5": 500,
      "6": 500,
      "7": 500,
      "8": 500,
      "9": 500
    },
    "validation_examples": 5000,
    "validation_index_sha256": "8328b206a97c420e49e54e3eca4abe3274c4756b084355784ea3fb8059e4515b"
  },
  "timing": {
    "apical_warmup_wall_s": 6.428055763244629,
    "evaluation_wall_s": 3.78330397605896,
    "predictor_warmup_wall_s": 0.0,
    "timing_excludes_data_loading_hashing_and_model_construction": true,
    "total_timed_wall_s": 4230.839186191559,
    "train_wall_s": 4220.594386100769
  },
  "work": {
    "apical_macs_per_example": 202176,
    "causal_scalar_observations": 35400,
    "components": {
      "apical_projection_macs": 1822171852800,
      "apical_regression_macs": 458049945600,
      "bp_reverse_macs_estimate": 0,
      "local_weight_correlation_macs": 364959360000000,
      "ordinary_forward_macs": 364959360000000,
      "perturbation_forward_macs": 183744872448000,
      "warmup_clean_forward_macs": 519053312000
    },
    "definition": "multiply-accumulates in conv/linear maps; one local weight correlation equals one forward-weight MAC count; BP reverse is estimated as one weight-gradient plus one activation-gradient convolution per forward convolution; elementwise nonlinearities and optimizer arithmetic excluded",
    "forward_macs_per_example": 40551040,
    "logical_batch_loss_queries": 35400,
    "per_example_cross_entropy_terms": 4531200,
    "total_clean_forward_examples": 9012800,
    "total_forward_equivalent_examples": 13544000,
    "total_macs_estimate": 916462867558400
  }
}