summaryrefslogtreecommitdiff
path: root/results/oral_a_dynamic_scaling_v2/bp_d56_s13.json
diff options
context:
space:
mode:
Diffstat (limited to 'results/oral_a_dynamic_scaling_v2/bp_d56_s13.json')
-rw-r--r--results/oral_a_dynamic_scaling_v2/bp_d56_s13.json2106
1 files changed, 2106 insertions, 0 deletions
diff --git a/results/oral_a_dynamic_scaling_v2/bp_d56_s13.json b/results/oral_a_dynamic_scaling_v2/bp_d56_s13.json
new file mode 100644
index 0000000..ae4be6f
--- /dev/null
+++ b/results/oral_a_dynamic_scaling_v2/bp_d56_s13.json
@@ -0,0 +1,2106 @@
+{
+ "architecture": {
+ "adaptive_apical_parameters": 0,
+ "adaptive_feedback_parameters": 0,
+ "base_width": 16,
+ "blocks_per_stage": 9,
+ "bn_eps": 1e-05,
+ "bn_momentum": 0.1,
+ "depth": 56,
+ "family": "CIFAR 6n+2 ResNet, option-A shortcuts",
+ "fixed_feedback_parameters": 0,
+ "fixed_traffic_coefficients": 0,
+ "forward_parameters": 853018,
+ "hidden_shapes": [
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 16,
+ 32,
+ 32
+ ],
+ [
+ 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
+ ],
+ [
+ 32,
+ 16,
+ 16
+ ],
+ [
+ 32,
+ 16,
+ 16
+ ],
+ [
+ 32,
+ 16,
+ 16
+ ],
+ [
+ 32,
+ 16,
+ 16
+ ],
+ [
+ 32,
+ 16,
+ 16
+ ],
+ [
+ 32,
+ 16,
+ 16
+ ],
+ [
+ 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
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ],
+ [
+ 64,
+ 8,
+ 8
+ ]
+ ],
+ "normalization": "batchnorm",
+ "predictor_parameters": 0,
+ "residual_scale": 1.0,
+ "vectorizer_mode": null,
+ "vectorizer_parameters": 0
+ },
+ "args": {
+ "a_scale": 1.0,
+ "a_warmup_steps": 0,
+ "alignment_probe": 0,
+ "apical_calibration_mode": "unit_targets",
+ "apical_seed": null,
+ "augment_train": 1,
+ "batch_size": 128,
+ "bn_eps": 1e-05,
+ "bn_momentum": 0.1,
+ "data_dir": "/home/yurenh2/sdrn/data",
+ "depth": 56,
+ "device": "cuda",
+ "epochs": 200,
+ "eta_A": 0.01,
+ "eta_P": 0.01,
+ "eval_every": 0,
+ "eval_split": "test",
+ "learn_P": 0,
+ "loader_seed": 13,
+ "lr": 0.1,
+ "lr_gamma": 0.1,
+ "lr_milestones": "100,150",
+ "lr_schedule": "step",
+ "max_steps": 0,
+ "mirror_batch_size": 1,
+ "mirror_eta": 0.1,
+ "mirror_every": 16,
+ "mirror_noise_std": 1.0,
+ "mirror_seed": 3000,
+ "mirror_warmup_steps": 0,
+ "mode": "bp",
+ "momentum": 0.9,
+ "neutral_projection": 0,
+ "normalization": "batchnorm",
+ "nuisance_scale": 0.0,
+ "out": "results/oral_a_dynamic_scaling_v2/bp_d56_s13.json",
+ "output_lr": null,
+ "pert_directions": 1,
+ "pert_every": 4,
+ "pert_sigma": 0.01,
+ "perturb_seed": 1000,
+ "predictor_every": 0,
+ "predictor_mode": "nlms",
+ "predictor_warmup_steps": 0,
+ "residual_scale": null,
+ "seed": 13,
+ "split_seed": 2027,
+ "traffic_calibration_examples": 64,
+ "traffic_ratio": 4.0,
+ "traffic_rule": "innovation",
+ "traffic_seed": 4000,
+ "train_limit": 0,
+ "use_residual": 1,
+ "val_examples": 0,
+ "vectorizer_mode": "spatial_template",
+ "warmup_epochs": 0,
+ "weight_decay": 0.0001,
+ "weight_scale": 1.0,
+ "width": 16
+ },
+ "calibration_metric_space": null,
+ "counters": {
+ "apical_warmup_examples": 0,
+ "calibration_event_examples": 0,
+ "causal_scalar_observations": 0,
+ "logical_batch_loss_queries": 0,
+ "mirror_conv_examples": 0,
+ "mirror_events": 0,
+ "mirror_readout_examples": 0,
+ "neutral_projection_examples": 0,
+ "ordinary_examples": 10000000,
+ "per_example_loss_terms": 0,
+ "perturbation_events": 0,
+ "perturbation_forward_examples": 0,
+ "predictor_update_examples": 0,
+ "predictor_warmup_examples": 0,
+ "traffic_audit_examples": 0,
+ "traffic_calibration_examples": 0
+ },
+ "diagnostics": null,
+ "epochs": [
+ {
+ "epoch": 1,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 391,
+ "train_examples": 50000,
+ "train_loss": 2.2380722662353514
+ },
+ {
+ "epoch": 2,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 782,
+ "train_examples": 50000,
+ "train_loss": 1.5243022811508178
+ },
+ {
+ "epoch": 3,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 1173,
+ "train_examples": 50000,
+ "train_loss": 1.1791382378959656
+ },
+ {
+ "epoch": 4,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 1564,
+ "train_examples": 50000,
+ "train_loss": 0.9526055066299438
+ },
+ {
+ "epoch": 5,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 1955,
+ "train_examples": 50000,
+ "train_loss": 0.7985830499458313
+ },
+ {
+ "epoch": 6,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 2346,
+ "train_examples": 50000,
+ "train_loss": 0.6951202674484253
+ },
+ {
+ "epoch": 7,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 2737,
+ "train_examples": 50000,
+ "train_loss": 0.621785017118454
+ },
+ {
+ "epoch": 8,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 3128,
+ "train_examples": 50000,
+ "train_loss": 0.5692547700881958
+ },
+ {
+ "epoch": 9,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 3519,
+ "train_examples": 50000,
+ "train_loss": 0.5245636717605591
+ },
+ {
+ "epoch": 10,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 3910,
+ "train_examples": 50000,
+ "train_loss": 0.48866498497009275
+ },
+ {
+ "epoch": 11,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 4301,
+ "train_examples": 50000,
+ "train_loss": 0.4679339222049713
+ },
+ {
+ "epoch": 12,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 4692,
+ "train_examples": 50000,
+ "train_loss": 0.44021042459487914
+ },
+ {
+ "epoch": 13,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 5083,
+ "train_examples": 50000,
+ "train_loss": 0.4147442305088043
+ },
+ {
+ "epoch": 14,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 5474,
+ "train_examples": 50000,
+ "train_loss": 0.4020823833656311
+ },
+ {
+ "epoch": 15,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 5865,
+ "train_examples": 50000,
+ "train_loss": 0.3830681062889099
+ },
+ {
+ "epoch": 16,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 6256,
+ "train_examples": 50000,
+ "train_loss": 0.36699817971229554
+ },
+ {
+ "epoch": 17,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 6647,
+ "train_examples": 50000,
+ "train_loss": 0.3528458435153961
+ },
+ {
+ "epoch": 18,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 7038,
+ "train_examples": 50000,
+ "train_loss": 0.3351625449562073
+ },
+ {
+ "epoch": 19,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 7429,
+ "train_examples": 50000,
+ "train_loss": 0.33076745034217836
+ },
+ {
+ "epoch": 20,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 7820,
+ "train_examples": 50000,
+ "train_loss": 0.314546350107193
+ },
+ {
+ "epoch": 21,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 8211,
+ "train_examples": 50000,
+ "train_loss": 0.31316587451934813
+ },
+ {
+ "epoch": 22,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 8602,
+ "train_examples": 50000,
+ "train_loss": 0.29657996692657473
+ },
+ {
+ "epoch": 23,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 8993,
+ "train_examples": 50000,
+ "train_loss": 0.2838392660522461
+ },
+ {
+ "epoch": 24,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 9384,
+ "train_examples": 50000,
+ "train_loss": 0.2806135774803162
+ },
+ {
+ "epoch": 25,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 9775,
+ "train_examples": 50000,
+ "train_loss": 0.28083187955856326
+ },
+ {
+ "epoch": 26,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 10166,
+ "train_examples": 50000,
+ "train_loss": 0.26689816400527955
+ },
+ {
+ "epoch": 27,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 10557,
+ "train_examples": 50000,
+ "train_loss": 0.25746106077194214
+ },
+ {
+ "epoch": 28,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 10948,
+ "train_examples": 50000,
+ "train_loss": 0.25681675987720487
+ },
+ {
+ "epoch": 29,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 11339,
+ "train_examples": 50000,
+ "train_loss": 0.24887987003326417
+ },
+ {
+ "epoch": 30,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 11730,
+ "train_examples": 50000,
+ "train_loss": 0.2419551268196106
+ },
+ {
+ "epoch": 31,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 12121,
+ "train_examples": 50000,
+ "train_loss": 0.23928709052085875
+ },
+ {
+ "epoch": 32,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 12512,
+ "train_examples": 50000,
+ "train_loss": 0.23788902492523192
+ },
+ {
+ "epoch": 33,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 12903,
+ "train_examples": 50000,
+ "train_loss": 0.23008561833381652
+ },
+ {
+ "epoch": 34,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 13294,
+ "train_examples": 50000,
+ "train_loss": 0.22262225829124452
+ },
+ {
+ "epoch": 35,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 13685,
+ "train_examples": 50000,
+ "train_loss": 0.22364863095283508
+ },
+ {
+ "epoch": 36,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 14076,
+ "train_examples": 50000,
+ "train_loss": 0.21420050528526305
+ },
+ {
+ "epoch": 37,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 14467,
+ "train_examples": 50000,
+ "train_loss": 0.2129284870958328
+ },
+ {
+ "epoch": 38,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 14858,
+ "train_examples": 50000,
+ "train_loss": 0.2079516935443878
+ },
+ {
+ "epoch": 39,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 15249,
+ "train_examples": 50000,
+ "train_loss": 0.20886797585010528
+ },
+ {
+ "epoch": 40,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 15640,
+ "train_examples": 50000,
+ "train_loss": 0.2089265088558197
+ },
+ {
+ "epoch": 41,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 16031,
+ "train_examples": 50000,
+ "train_loss": 0.19851134345531463
+ },
+ {
+ "epoch": 42,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 16422,
+ "train_examples": 50000,
+ "train_loss": 0.19988643452644347
+ },
+ {
+ "epoch": 43,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 16813,
+ "train_examples": 50000,
+ "train_loss": 0.19532940200805665
+ },
+ {
+ "epoch": 44,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 17204,
+ "train_examples": 50000,
+ "train_loss": 0.195343414645195
+ },
+ {
+ "epoch": 45,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 17595,
+ "train_examples": 50000,
+ "train_loss": 0.19538965277671813
+ },
+ {
+ "epoch": 46,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 17986,
+ "train_examples": 50000,
+ "train_loss": 0.1897829840183258
+ },
+ {
+ "epoch": 47,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 18377,
+ "train_examples": 50000,
+ "train_loss": 0.19165333584070204
+ },
+ {
+ "epoch": 48,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 18768,
+ "train_examples": 50000,
+ "train_loss": 0.18658844998836518
+ },
+ {
+ "epoch": 49,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 19159,
+ "train_examples": 50000,
+ "train_loss": 0.18472965229034424
+ },
+ {
+ "epoch": 50,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 19550,
+ "train_examples": 50000,
+ "train_loss": 0.1821135854434967
+ },
+ {
+ "epoch": 51,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 19941,
+ "train_examples": 50000,
+ "train_loss": 0.17800462348937987
+ },
+ {
+ "epoch": 52,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 20332,
+ "train_examples": 50000,
+ "train_loss": 0.18199947471618652
+ },
+ {
+ "epoch": 53,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 20723,
+ "train_examples": 50000,
+ "train_loss": 0.1763830384373665
+ },
+ {
+ "epoch": 54,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 21114,
+ "train_examples": 50000,
+ "train_loss": 0.1756221105480194
+ },
+ {
+ "epoch": 55,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 21505,
+ "train_examples": 50000,
+ "train_loss": 0.1696118577528
+ },
+ {
+ "epoch": 56,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 21896,
+ "train_examples": 50000,
+ "train_loss": 0.1749851853656769
+ },
+ {
+ "epoch": 57,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 22287,
+ "train_examples": 50000,
+ "train_loss": 0.1657337329673767
+ },
+ {
+ "epoch": 58,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 22678,
+ "train_examples": 50000,
+ "train_loss": 0.17245514731407166
+ },
+ {
+ "epoch": 59,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 23069,
+ "train_examples": 50000,
+ "train_loss": 0.17474647249221803
+ },
+ {
+ "epoch": 60,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 23460,
+ "train_examples": 50000,
+ "train_loss": 0.16800471481323243
+ },
+ {
+ "epoch": 61,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 23851,
+ "train_examples": 50000,
+ "train_loss": 0.1669558035326004
+ },
+ {
+ "epoch": 62,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 24242,
+ "train_examples": 50000,
+ "train_loss": 0.16427249970912933
+ },
+ {
+ "epoch": 63,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 24633,
+ "train_examples": 50000,
+ "train_loss": 0.1582439007759094
+ },
+ {
+ "epoch": 64,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 25024,
+ "train_examples": 50000,
+ "train_loss": 0.1585183248090744
+ },
+ {
+ "epoch": 65,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 25415,
+ "train_examples": 50000,
+ "train_loss": 0.16085544743061064
+ },
+ {
+ "epoch": 66,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 25806,
+ "train_examples": 50000,
+ "train_loss": 0.1578859422969818
+ },
+ {
+ "epoch": 67,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 26197,
+ "train_examples": 50000,
+ "train_loss": 0.15871727242946626
+ },
+ {
+ "epoch": 68,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 26588,
+ "train_examples": 50000,
+ "train_loss": 0.15582639401435852
+ },
+ {
+ "epoch": 69,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 26979,
+ "train_examples": 50000,
+ "train_loss": 0.15439380012512208
+ },
+ {
+ "epoch": 70,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 27370,
+ "train_examples": 50000,
+ "train_loss": 0.15781796977996826
+ },
+ {
+ "epoch": 71,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 27761,
+ "train_examples": 50000,
+ "train_loss": 0.15552019326210023
+ },
+ {
+ "epoch": 72,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 28152,
+ "train_examples": 50000,
+ "train_loss": 0.1537364743041992
+ },
+ {
+ "epoch": 73,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 28543,
+ "train_examples": 50000,
+ "train_loss": 0.157676806306839
+ },
+ {
+ "epoch": 74,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 28934,
+ "train_examples": 50000,
+ "train_loss": 0.15155513235092163
+ },
+ {
+ "epoch": 75,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 29325,
+ "train_examples": 50000,
+ "train_loss": 0.14866421595573426
+ },
+ {
+ "epoch": 76,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 29716,
+ "train_examples": 50000,
+ "train_loss": 0.1499950579404831
+ },
+ {
+ "epoch": 77,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 30107,
+ "train_examples": 50000,
+ "train_loss": 0.14595741822242736
+ },
+ {
+ "epoch": 78,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 30498,
+ "train_examples": 50000,
+ "train_loss": 0.1475743013525009
+ },
+ {
+ "epoch": 79,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 30889,
+ "train_examples": 50000,
+ "train_loss": 0.1440841651725769
+ },
+ {
+ "epoch": 80,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 31280,
+ "train_examples": 50000,
+ "train_loss": 0.15019753473758699
+ },
+ {
+ "epoch": 81,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 31671,
+ "train_examples": 50000,
+ "train_loss": 0.14983026386260986
+ },
+ {
+ "epoch": 82,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 32062,
+ "train_examples": 50000,
+ "train_loss": 0.1457690325498581
+ },
+ {
+ "epoch": 83,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 32453,
+ "train_examples": 50000,
+ "train_loss": 0.1425291301584244
+ },
+ {
+ "epoch": 84,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 32844,
+ "train_examples": 50000,
+ "train_loss": 0.13966907420635225
+ },
+ {
+ "epoch": 85,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 33235,
+ "train_examples": 50000,
+ "train_loss": 0.14920791668653488
+ },
+ {
+ "epoch": 86,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 33626,
+ "train_examples": 50000,
+ "train_loss": 0.1433650892972946
+ },
+ {
+ "epoch": 87,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 34017,
+ "train_examples": 50000,
+ "train_loss": 0.14277835859298707
+ },
+ {
+ "epoch": 88,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 34408,
+ "train_examples": 50000,
+ "train_loss": 0.14652419395685196
+ },
+ {
+ "epoch": 89,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 34799,
+ "train_examples": 50000,
+ "train_loss": 0.13885879600524903
+ },
+ {
+ "epoch": 90,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 35190,
+ "train_examples": 50000,
+ "train_loss": 0.13664149361371994
+ },
+ {
+ "epoch": 91,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 35581,
+ "train_examples": 50000,
+ "train_loss": 0.14250784899711608
+ },
+ {
+ "epoch": 92,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 35972,
+ "train_examples": 50000,
+ "train_loss": 0.136539647898674
+ },
+ {
+ "epoch": 93,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 36363,
+ "train_examples": 50000,
+ "train_loss": 0.13834525762081146
+ },
+ {
+ "epoch": 94,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 36754,
+ "train_examples": 50000,
+ "train_loss": 0.13874304574012755
+ },
+ {
+ "epoch": 95,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 37145,
+ "train_examples": 50000,
+ "train_loss": 0.13826945496559143
+ },
+ {
+ "epoch": 96,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 37536,
+ "train_examples": 50000,
+ "train_loss": 0.13466810110569
+ },
+ {
+ "epoch": 97,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 37927,
+ "train_examples": 50000,
+ "train_loss": 0.13618385932683943
+ },
+ {
+ "epoch": 98,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 38318,
+ "train_examples": 50000,
+ "train_loss": 0.13083945737361907
+ },
+ {
+ "epoch": 99,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 38709,
+ "train_examples": 50000,
+ "train_loss": 0.14239856719732286
+ },
+ {
+ "epoch": 100,
+ "lr": 0.1,
+ "output_lr": 0.1,
+ "step": 39100,
+ "train_examples": 50000,
+ "train_loss": 0.13760523827075957
+ },
+ {
+ "epoch": 101,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 39491,
+ "train_examples": 50000,
+ "train_loss": 0.07247622606992722
+ },
+ {
+ "epoch": 102,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 39882,
+ "train_examples": 50000,
+ "train_loss": 0.047615873658657076
+ },
+ {
+ "epoch": 103,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 40273,
+ "train_examples": 50000,
+ "train_loss": 0.039028446272611615
+ },
+ {
+ "epoch": 104,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 40664,
+ "train_examples": 50000,
+ "train_loss": 0.03336639288246632
+ },
+ {
+ "epoch": 105,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 41055,
+ "train_examples": 50000,
+ "train_loss": 0.030500985317230226
+ },
+ {
+ "epoch": 106,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 41446,
+ "train_examples": 50000,
+ "train_loss": 0.02714287847608328
+ },
+ {
+ "epoch": 107,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 41837,
+ "train_examples": 50000,
+ "train_loss": 0.023862378755509853
+ },
+ {
+ "epoch": 108,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 42228,
+ "train_examples": 50000,
+ "train_loss": 0.02249471425935626
+ },
+ {
+ "epoch": 109,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 42619,
+ "train_examples": 50000,
+ "train_loss": 0.019693836632966994
+ },
+ {
+ "epoch": 110,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 43010,
+ "train_examples": 50000,
+ "train_loss": 0.018667535536289213
+ },
+ {
+ "epoch": 111,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 43401,
+ "train_examples": 50000,
+ "train_loss": 0.017429370289444922
+ },
+ {
+ "epoch": 112,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 43792,
+ "train_examples": 50000,
+ "train_loss": 0.01614685102917254
+ },
+ {
+ "epoch": 113,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 44183,
+ "train_examples": 50000,
+ "train_loss": 0.016091273787617683
+ },
+ {
+ "epoch": 114,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 44574,
+ "train_examples": 50000,
+ "train_loss": 0.01417996779859066
+ },
+ {
+ "epoch": 115,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 44965,
+ "train_examples": 50000,
+ "train_loss": 0.01396479100972414
+ },
+ {
+ "epoch": 116,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 45356,
+ "train_examples": 50000,
+ "train_loss": 0.012489625472724438
+ },
+ {
+ "epoch": 117,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 45747,
+ "train_examples": 50000,
+ "train_loss": 0.012624856723845005
+ },
+ {
+ "epoch": 118,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 46138,
+ "train_examples": 50000,
+ "train_loss": 0.011601389402598142
+ },
+ {
+ "epoch": 119,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 46529,
+ "train_examples": 50000,
+ "train_loss": 0.010255140935406089
+ },
+ {
+ "epoch": 120,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 46920,
+ "train_examples": 50000,
+ "train_loss": 0.010553088017329574
+ },
+ {
+ "epoch": 121,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 47311,
+ "train_examples": 50000,
+ "train_loss": 0.010899415211081506
+ },
+ {
+ "epoch": 122,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 47702,
+ "train_examples": 50000,
+ "train_loss": 0.010135487665981054
+ },
+ {
+ "epoch": 123,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 48093,
+ "train_examples": 50000,
+ "train_loss": 0.009882493694797158
+ },
+ {
+ "epoch": 124,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 48484,
+ "train_examples": 50000,
+ "train_loss": 0.008986017334088683
+ },
+ {
+ "epoch": 125,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 48875,
+ "train_examples": 50000,
+ "train_loss": 0.009793174834996463
+ },
+ {
+ "epoch": 126,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 49266,
+ "train_examples": 50000,
+ "train_loss": 0.008635873577445746
+ },
+ {
+ "epoch": 127,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 49657,
+ "train_examples": 50000,
+ "train_loss": 0.007427890453115106
+ },
+ {
+ "epoch": 128,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 50048,
+ "train_examples": 50000,
+ "train_loss": 0.007159797935336828
+ },
+ {
+ "epoch": 129,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 50439,
+ "train_examples": 50000,
+ "train_loss": 0.0072894377361983065
+ },
+ {
+ "epoch": 130,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 50830,
+ "train_examples": 50000,
+ "train_loss": 0.00702851181268692
+ },
+ {
+ "epoch": 131,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 51221,
+ "train_examples": 50000,
+ "train_loss": 0.0071594165313243864
+ },
+ {
+ "epoch": 132,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 51612,
+ "train_examples": 50000,
+ "train_loss": 0.007001433908045292
+ },
+ {
+ "epoch": 133,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 52003,
+ "train_examples": 50000,
+ "train_loss": 0.00688736757075414
+ },
+ {
+ "epoch": 134,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 52394,
+ "train_examples": 50000,
+ "train_loss": 0.006680425413325429
+ },
+ {
+ "epoch": 135,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 52785,
+ "train_examples": 50000,
+ "train_loss": 0.006584880689047277
+ },
+ {
+ "epoch": 136,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 53176,
+ "train_examples": 50000,
+ "train_loss": 0.006494963362403214
+ },
+ {
+ "epoch": 137,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 53567,
+ "train_examples": 50000,
+ "train_loss": 0.006134787359386683
+ },
+ {
+ "epoch": 138,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 53958,
+ "train_examples": 50000,
+ "train_loss": 0.005662843820005655
+ },
+ {
+ "epoch": 139,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 54349,
+ "train_examples": 50000,
+ "train_loss": 0.005598675254136324
+ },
+ {
+ "epoch": 140,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 54740,
+ "train_examples": 50000,
+ "train_loss": 0.006541163565441966
+ },
+ {
+ "epoch": 141,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 55131,
+ "train_examples": 50000,
+ "train_loss": 0.005306101936548948
+ },
+ {
+ "epoch": 142,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 55522,
+ "train_examples": 50000,
+ "train_loss": 0.0051230572059936825
+ },
+ {
+ "epoch": 143,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 55913,
+ "train_examples": 50000,
+ "train_loss": 0.005335996469631791
+ },
+ {
+ "epoch": 144,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 56304,
+ "train_examples": 50000,
+ "train_loss": 0.005076246513798833
+ },
+ {
+ "epoch": 145,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 56695,
+ "train_examples": 50000,
+ "train_loss": 0.00512076975941658
+ },
+ {
+ "epoch": 146,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 57086,
+ "train_examples": 50000,
+ "train_loss": 0.005122748474702239
+ },
+ {
+ "epoch": 147,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 57477,
+ "train_examples": 50000,
+ "train_loss": 0.004380679072439671
+ },
+ {
+ "epoch": 148,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 57868,
+ "train_examples": 50000,
+ "train_loss": 0.004719913615286351
+ },
+ {
+ "epoch": 149,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 58259,
+ "train_examples": 50000,
+ "train_loss": 0.004689400273300707
+ },
+ {
+ "epoch": 150,
+ "lr": 0.010000000000000002,
+ "output_lr": 0.010000000000000002,
+ "step": 58650,
+ "train_examples": 50000,
+ "train_loss": 0.004892317248731851
+ },
+ {
+ "epoch": 151,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 59041,
+ "train_examples": 50000,
+ "train_loss": 0.00447578532397747
+ },
+ {
+ "epoch": 152,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 59432,
+ "train_examples": 50000,
+ "train_loss": 0.004113756105890497
+ },
+ {
+ "epoch": 153,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 59823,
+ "train_examples": 50000,
+ "train_loss": 0.0037811573535203933
+ },
+ {
+ "epoch": 154,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 60214,
+ "train_examples": 50000,
+ "train_loss": 0.003723595006912947
+ },
+ {
+ "epoch": 155,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 60605,
+ "train_examples": 50000,
+ "train_loss": 0.0036731692541390657
+ },
+ {
+ "epoch": 156,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 60996,
+ "train_examples": 50000,
+ "train_loss": 0.003562408784888685
+ },
+ {
+ "epoch": 157,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 61387,
+ "train_examples": 50000,
+ "train_loss": 0.00363837756998837
+ },
+ {
+ "epoch": 158,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 61778,
+ "train_examples": 50000,
+ "train_loss": 0.0036040416952967643
+ },
+ {
+ "epoch": 159,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 62169,
+ "train_examples": 50000,
+ "train_loss": 0.003390372982798144
+ },
+ {
+ "epoch": 160,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 62560,
+ "train_examples": 50000,
+ "train_loss": 0.0033142458989098666
+ },
+ {
+ "epoch": 161,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 62951,
+ "train_examples": 50000,
+ "train_loss": 0.003420861539710313
+ },
+ {
+ "epoch": 162,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 63342,
+ "train_examples": 50000,
+ "train_loss": 0.003407911326214671
+ },
+ {
+ "epoch": 163,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 63733,
+ "train_examples": 50000,
+ "train_loss": 0.003366744888164103
+ },
+ {
+ "epoch": 164,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 64124,
+ "train_examples": 50000,
+ "train_loss": 0.0033962769866734744
+ },
+ {
+ "epoch": 165,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 64515,
+ "train_examples": 50000,
+ "train_loss": 0.0033505655673518775
+ },
+ {
+ "epoch": 166,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 64906,
+ "train_examples": 50000,
+ "train_loss": 0.0033576356161758303
+ },
+ {
+ "epoch": 167,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 65297,
+ "train_examples": 50000,
+ "train_loss": 0.003377419900596142
+ },
+ {
+ "epoch": 168,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 65688,
+ "train_examples": 50000,
+ "train_loss": 0.003348771807849407
+ },
+ {
+ "epoch": 169,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 66079,
+ "train_examples": 50000,
+ "train_loss": 0.0035825366028398274
+ },
+ {
+ "epoch": 170,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 66470,
+ "train_examples": 50000,
+ "train_loss": 0.003371795840486884
+ },
+ {
+ "epoch": 171,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 66861,
+ "train_examples": 50000,
+ "train_loss": 0.002851168489456177
+ },
+ {
+ "epoch": 172,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 67252,
+ "train_examples": 50000,
+ "train_loss": 0.00323815221786499
+ },
+ {
+ "epoch": 173,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 67643,
+ "train_examples": 50000,
+ "train_loss": 0.0031118369930982588
+ },
+ {
+ "epoch": 174,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 68034,
+ "train_examples": 50000,
+ "train_loss": 0.0028565359775349496
+ },
+ {
+ "epoch": 175,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 68425,
+ "train_examples": 50000,
+ "train_loss": 0.002883928079903126
+ },
+ {
+ "epoch": 176,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 68816,
+ "train_examples": 50000,
+ "train_loss": 0.003193774028085172
+ },
+ {
+ "epoch": 177,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 69207,
+ "train_examples": 50000,
+ "train_loss": 0.0031581616420298816
+ },
+ {
+ "epoch": 178,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 69598,
+ "train_examples": 50000,
+ "train_loss": 0.0031817424205318095
+ },
+ {
+ "epoch": 179,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 69989,
+ "train_examples": 50000,
+ "train_loss": 0.0031136344198696314
+ },
+ {
+ "epoch": 180,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 70380,
+ "train_examples": 50000,
+ "train_loss": 0.0027644987058639526
+ },
+ {
+ "epoch": 181,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 70771,
+ "train_examples": 50000,
+ "train_loss": 0.003138273613899946
+ },
+ {
+ "epoch": 182,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 71162,
+ "train_examples": 50000,
+ "train_loss": 0.0031510034423321487
+ },
+ {
+ "epoch": 183,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 71553,
+ "train_examples": 50000,
+ "train_loss": 0.002888658501994796
+ },
+ {
+ "epoch": 184,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 71944,
+ "train_examples": 50000,
+ "train_loss": 0.0027053265723958613
+ },
+ {
+ "epoch": 185,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 72335,
+ "train_examples": 50000,
+ "train_loss": 0.002944691154398024
+ },
+ {
+ "epoch": 186,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 72726,
+ "train_examples": 50000,
+ "train_loss": 0.002828227263186127
+ },
+ {
+ "epoch": 187,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 73117,
+ "train_examples": 50000,
+ "train_loss": 0.002878027893342078
+ },
+ {
+ "epoch": 188,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 73508,
+ "train_examples": 50000,
+ "train_loss": 0.002947899527810514
+ },
+ {
+ "epoch": 189,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 73899,
+ "train_examples": 50000,
+ "train_loss": 0.0031204521046578884
+ },
+ {
+ "epoch": 190,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 74290,
+ "train_examples": 50000,
+ "train_loss": 0.0030550059485808015
+ },
+ {
+ "epoch": 191,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 74681,
+ "train_examples": 50000,
+ "train_loss": 0.0029061227486096323
+ },
+ {
+ "epoch": 192,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 75072,
+ "train_examples": 50000,
+ "train_loss": 0.002946553324870765
+ },
+ {
+ "epoch": 193,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 75463,
+ "train_examples": 50000,
+ "train_loss": 0.003338872848302126
+ },
+ {
+ "epoch": 194,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 75854,
+ "train_examples": 50000,
+ "train_loss": 0.002944037918429822
+ },
+ {
+ "epoch": 195,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 76245,
+ "train_examples": 50000,
+ "train_loss": 0.002767612297460437
+ },
+ {
+ "epoch": 196,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 76636,
+ "train_examples": 50000,
+ "train_loss": 0.0028004104109480977
+ },
+ {
+ "epoch": 197,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 77027,
+ "train_examples": 50000,
+ "train_loss": 0.0026937156117893754
+ },
+ {
+ "epoch": 198,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 77418,
+ "train_examples": 50000,
+ "train_loss": 0.0031516437913104893
+ },
+ {
+ "epoch": 199,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 77809,
+ "train_examples": 50000,
+ "train_loss": 0.0030365199307352303
+ },
+ {
+ "epoch": 200,
+ "lr": 0.0010000000000000002,
+ "output_lr": 0.0010000000000000002,
+ "step": 78200,
+ "train_examples": 50000,
+ "train_loss": 0.0025308626214414834
+ }
+ ],
+ "evaluation_protocol": {
+ "test_evaluations": 1,
+ "test_used_for_selection": false,
+ "validation_evaluations": 0
+ },
+ "final": {
+ "accuracy": 0.9306,
+ "epoch": 200,
+ "evaluation_split": "test",
+ "finite": true,
+ "loss": 0.3573267272949219,
+ "step": 78200
+ },
+ "hardware": {
+ "cuda_device_name": "NVIDIA GeForce GTX 1080",
+ "cuda_visible_devices": "5",
+ "device": "cuda",
+ "device_total_memory_bytes": 8507949056,
+ "peak_memory_allocated_bytes": 3320109568,
+ "peak_memory_reserved_bytes": 4542431232,
+ "torch_version": "2.3.1+cu118"
+ },
+ "protocol_family": "oral_a_cifar_local_resnet_development",
+ "provenance": {
+ "git_commit": "8f9364e8ee2e2a19eb83b58452fa0e8cb155353c",
+ "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": "test",
+ "input_layout": "NCHW",
+ "input_shape": [
+ 3,
+ 32,
+ 32
+ ],
+ "loader_seed": 13,
+ "normalization_mean": [
+ 0.49140000343322754,
+ 0.4821999967098236,
+ 0.4465000033378601
+ ],
+ "normalization_std": [
+ 0.24699999392032623,
+ 0.2434999942779541,
+ 0.26159998774528503
+ ],
+ "split_from_training_only": true,
+ "split_seed": null,
+ "test_examples": 10000,
+ "train_examples": 50000,
+ "training_augmentation": "random_crop_32_padding_4_zero_then_horizontal_flip_p0.5",
+ "validation_class_counts": {},
+ "validation_examples": 0,
+ "validation_index_sha256": null
+ },
+ "timing": {
+ "apical_warmup_wall_s": 0.0,
+ "evaluation_wall_s": 2.0722508430480957,
+ "mirror_warmup_wall_s": 0.0,
+ "predictor_warmup_wall_s": 0.0,
+ "timing_excludes_data_loading_hashing_and_model_construction": true,
+ "total_timed_wall_s": 10194.431643486023,
+ "train_wall_s": 10192.328938484192
+ },
+ "work": {
+ "apical_macs_per_example": 0,
+ "causal_scalar_observations": 0,
+ "components": {
+ "apical_projection_macs": 0,
+ "apical_regression_macs": 0,
+ "bp_reverse_macs_estimate": 2509713920000000,
+ "kp_reciprocal_correlation_macs": 0,
+ "local_weight_correlation_macs": 0,
+ "mirror_feedback_prediction_macs": 0,
+ "mirror_local_correlation_macs": 0,
+ "mirror_response_macs": 0,
+ "ordinary_forward_macs": 1254856960000000,
+ "perturbation_forward_macs": 0,
+ "warmup_clean_forward_macs": 0
+ },
+ "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; mixed-traffic/predictor elementwise arithmetic is reported as a conservative operation estimate separately and is not folded into MACs",
+ "elementwise_operations_estimate": 0,
+ "forward_macs_per_example": 125485696,
+ "logical_batch_loss_queries": 0,
+ "mirror_probe_examples": 0,
+ "mirror_readout_probe_examples": 0,
+ "neutral_projection_observations": 0,
+ "per_example_cross_entropy_terms": 0,
+ "total_clean_forward_examples": 10000000,
+ "total_forward_equivalent_examples": 10000000,
+ "total_macs_estimate": 3764570880000000
+ }
+}
generated by cgit v1.2.3 (git 2.25.1) at 2026-08-01 00:52:02 +0000