|
- [builder.py: 170]: Config:
- BENCHMARK:
- NB201PATH: ./data/NAS-Bench-201-v1_1-096897.pth
- NB301PATH: ./data/nb301models/
- CUDNN_BENCH: True
- DARTS:
- ALPHA_LR: 0.0003
- ALPHA_WEIGHT_DECAY: 0.001
- UNROLLED: True
- DETERMINSTIC: True
- EVAL_PERIOD: 1
- LOADER:
- BATCH_SIZE: 32
- DATAPATH:
- DATASET: mnist
- NUM_CLASSES: 10
- NUM_WORKERS: 8
- PIN_MEMORY: True
- SPLIT: [0.5, 0.5]
- USE_VAL: False
- LOG_PERIOD: 10
- NUM_GPUS: 1
- OPTIM:
- BASE_LR: 0.1
- DAMPENING: 0.0
- FINAL_EPOCH: 0
- GRAD_CLIP: 5.0
- LR_MULT: 0.1
- LR_POLICY: cos
- MAX_EPOCH: 5
- MIN_LR: 0.001
- MOMENTUM: 0.9
- NESTEROV: False
- STEPS: [30, 60, 90]
- WARMUP_EPOCH: 0
- WARMUP_FACTOR: 0.1
- WEIGHT_DECAY: 0.0005
- OUT_DIR: exp/mnist/seed222
- RNG_SEED: 222
- SAVE_PERIOD: 1
- SEARCH:
- AUTO_RESUME: True
- EVALUATION:
- IM_SIZE: 28
- INPUT_CHANNELS: 3
- LABEL_SMOOTH: 0.0
- LOSS_FUN: cross_entropy
- MULTI_SIZES: []
- WEIGHTS:
- SPACE:
- BASIC_OP: []
- CHANNELS: 16
- LAYERS: 5
- NAME: nasbench201
- NODES: 4
- TEST:
- BATCH_SIZE: 128
- IM_SIZE: 224
- TRAIN:
- CHANNELS: 36
- DROP_PATH_PROB: 0.2
- GENOTYPE:
- IM_SIZE: 32
- INPUT_CHANNELS: 3
- LAYERS: 20
- [builder.py: 171]: json_stats: {"BENCHMARK": {"NB201PATH": "./data/NAS-Bench-201-v1_1-096897.pth", "NB301PATH": "./data/nb301models/"}, "CUDNN_BENCH": true, "DARTS": {"ALPHA_LR": 0.0003, "ALPHA_WEIGHT_DECAY": 0.0010, "UNROLLED": true}, "DETERMINSTIC": true, "EVAL_PERIOD": 1, "LOADER": {"BATCH_SIZE": 32, "DATAPATH": "", "DATASET": "mnist", "NUM_CLASSES": 10, "NUM_WORKERS": 8, "PIN_MEMORY": true, "SPLIT": [0.5, 0.5], "USE_VAL": false}, "LOG_PERIOD": 10, "NUM_GPUS": 1, "OPTIM": {"BASE_LR": 0.1000, "DAMPENING": 0.0000, "FINAL_EPOCH": 0, "GRAD_CLIP": 5.0000, "LR_MULT": 0.1000, "LR_POLICY": "cos", "MAX_EPOCH": 5, "MIN_LR": 0.0010, "MOMENTUM": 0.9000, "NESTEROV": false, "STEPS": [30, 60, 90], "WARMUP_EPOCH": 0, "WARMUP_FACTOR": 0.1000, "WEIGHT_DECAY": 0.0005}, "OUT_DIR": "exp/mnist/seed222", "RNG_SEED": 222, "SAVE_PERIOD": 1, "SEARCH": {"AUTO_RESUME": true, "EVALUATION": "", "IM_SIZE": 28, "INPUT_CHANNELS": 3, "LABEL_SMOOTH": 0.0000, "LOSS_FUN": "cross_entropy", "MULTI_SIZES": [], "WEIGHTS": ""}, "SPACE": {"BASIC_OP": [], "CHANNELS": 16, "LAYERS": 5, "NAME": "nasbench201", "NODES": 4}, "TEST": {"BATCH_SIZE": 128, "IM_SIZE": 224}, "TRAIN": {"CHANNELS": 36, "DROP_PATH_PROB": 0.2000, "GENOTYPE": "", "IM_SIZE": 32, "INPUT_CHANNELS": 3, "LAYERS": 20}, "_type": "cfg"}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:16:05", "iter": "10/938", "loss": 2.0871, "lr": 0.1000, "mem": 752, "time_avg": 1.7448, "time_diff": 1.9281, "top1_err": 74.6875, "top5_err": 30.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:28:42", "iter": "20/938", "loss": 1.6060, "lr": 0.1000, "mem": 752, "time_avg": 1.9105, "time_diff": 2.5088, "top1_err": 57.1875, "top5_err": 10.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:51:54", "iter": "30/938", "loss": 1.3864, "lr": 0.1000, "mem": 752, "time_avg": 2.2133, "time_diff": 2.9556, "top1_err": 50.0000, "top5_err": 7.5000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:12:50", "iter": "40/938", "loss": 1.1847, "lr": 0.1000, "mem": 752, "time_avg": 2.4883, "time_diff": 3.5349, "top1_err": 44.0625, "top5_err": 2.8125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:28:33", "iter": "50/938", "loss": 1.3146, "lr": 0.1000, "mem": 752, "time_avg": 2.6968, "time_diff": 3.4770, "top1_err": 45.3125, "top5_err": 6.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:39:00", "iter": "60/938", "loss": 1.1312, "lr": 0.1000, "mem": 752, "time_avg": 2.8381, "time_diff": 3.5061, "top1_err": 38.1250, "top5_err": 4.6875}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:46:29", "iter": "70/938", "loss": 0.9226, "lr": 0.1000, "mem": 752, "time_avg": 2.9415, "time_diff": 3.4336, "top1_err": 31.2500, "top5_err": 2.5000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:51:51", "iter": "80/938", "loss": 0.9552, "lr": 0.1000, "mem": 752, "time_avg": 3.0176, "time_diff": 3.5532, "top1_err": 30.6250, "top5_err": 2.8125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:56:07", "iter": "90/938", "loss": 0.7749, "lr": 0.1000, "mem": 752, "time_avg": 3.0799, "time_diff": 3.5870, "top1_err": 26.8750, "top5_err": 1.5625}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:59:31", "iter": "100/938", "loss": 0.9026, "lr": 0.1000, "mem": 752, "time_avg": 3.1311, "time_diff": 3.5402, "top1_err": 29.0625, "top5_err": 2.5000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:01:56", "iter": "110/938", "loss": 0.7642, "lr": 0.1000, "mem": 752, "time_avg": 3.1696, "time_diff": 3.6112, "top1_err": 25.9375, "top5_err": 1.8750}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:04:06", "iter": "120/938", "loss": 0.6729, "lr": 0.1000, "mem": 752, "time_avg": 3.2048, "time_diff": 3.5624, "top1_err": 22.8125, "top5_err": 1.8750}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:06:05", "iter": "130/938", "loss": 0.6438, "lr": 0.1000, "mem": 752, "time_avg": 3.2380, "time_diff": 3.6773, "top1_err": 20.0000, "top5_err": 1.5625}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:07:29", "iter": "140/938", "loss": 0.5836, "lr": 0.1000, "mem": 752, "time_avg": 3.2636, "time_diff": 3.6297, "top1_err": 17.8125, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:08:37", "iter": "150/938", "loss": 0.5566, "lr": 0.1000, "mem": 752, "time_avg": 3.2859, "time_diff": 3.5880, "top1_err": 14.6875, "top5_err": 2.1875}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:09:50", "iter": "160/938", "loss": 0.4316, "lr": 0.1000, "mem": 752, "time_avg": 3.3093, "time_diff": 3.7032, "top1_err": 15.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:10:25", "iter": "170/938", "loss": 0.5634, "lr": 0.1000, "mem": 752, "time_avg": 3.3241, "time_diff": 3.5770, "top1_err": 18.4375, "top5_err": 1.8750}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:11:20", "iter": "180/938", "loss": 0.6945, "lr": 0.1000, "mem": 752, "time_avg": 3.3438, "time_diff": 3.7109, "top1_err": 22.1875, "top5_err": 2.5000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:11:55", "iter": "190/938", "loss": 0.5688, "lr": 0.1000, "mem": 752, "time_avg": 3.3590, "time_diff": 3.6165, "top1_err": 15.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:12:20", "iter": "200/938", "loss": 0.7269, "lr": 0.1000, "mem": 752, "time_avg": 3.3719, "time_diff": 3.6305, "top1_err": 22.5000, "top5_err": 3.1250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:12:51", "iter": "210/938", "loss": 0.5002, "lr": 0.1000, "mem": 752, "time_avg": 3.3864, "time_diff": 3.6598, "top1_err": 15.0000, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:13", "iter": "220/938", "loss": 0.5920, "lr": 0.1000, "mem": 752, "time_avg": 3.3989, "time_diff": 3.5821, "top1_err": 16.5625, "top5_err": 3.1250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:31", "iter": "230/938", "loss": 0.3702, "lr": 0.1000, "mem": 752, "time_avg": 3.4106, "time_diff": 3.6935, "top1_err": 10.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:46", "iter": "240/938", "loss": 0.4216, "lr": 0.1000, "mem": 752, "time_avg": 3.4218, "time_diff": 3.6974, "top1_err": 14.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:00", "iter": "250/938", "loss": 0.4325, "lr": 0.1000, "mem": 752, "time_avg": 3.4325, "time_diff": 3.7161, "top1_err": 13.7500, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:07", "iter": "260/938", "loss": 0.3982, "lr": 0.1000, "mem": 752, "time_avg": 3.4418, "time_diff": 3.6228, "top1_err": 13.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:16", "iter": "270/938", "loss": 0.3663, "lr": 0.1000, "mem": 752, "time_avg": 3.4516, "time_diff": 3.6882, "top1_err": 12.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:16", "iter": "280/938", "loss": 0.4702, "lr": 0.1000, "mem": 752, "time_avg": 3.4595, "time_diff": 3.6192, "top1_err": 15.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:13", "iter": "290/938", "loss": 0.3726, "lr": 0.1000, "mem": 752, "time_avg": 3.4668, "time_diff": 3.6014, "top1_err": 11.5625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:11", "iter": "300/938", "loss": 0.3032, "lr": 0.1000, "mem": 752, "time_avg": 3.4741, "time_diff": 3.6570, "top1_err": 9.0625, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:14:01", "iter": "310/938", "loss": 0.3878, "lr": 0.1000, "mem": 752, "time_avg": 3.4797, "time_diff": 3.6598, "top1_err": 12.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:56", "iter": "320/938", "loss": 0.3857, "lr": 0.1000, "mem": 752, "time_avg": 3.4866, "time_diff": 3.7005, "top1_err": 10.0000, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:43", "iter": "330/938", "loss": 0.4020, "lr": 0.1000, "mem": 752, "time_avg": 3.4917, "time_diff": 3.6345, "top1_err": 11.8750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:32", "iter": "340/938", "loss": 0.3763, "lr": 0.1000, "mem": 752, "time_avg": 3.4971, "time_diff": 3.6039, "top1_err": 10.9375, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:17", "iter": "350/938", "loss": 0.3976, "lr": 0.1000, "mem": 752, "time_avg": 3.5018, "time_diff": 3.5842, "top1_err": 10.6250, "top5_err": 2.1875}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:13:00", "iter": "360/938", "loss": 0.2775, "lr": 0.1000, "mem": 752, "time_avg": 3.5059, "time_diff": 3.6709, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:12:41", "iter": "370/938", "loss": 0.2825, "lr": 0.1000, "mem": 752, "time_avg": 3.5097, "time_diff": 3.7021, "top1_err": 7.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:12:28", "iter": "380/938", "loss": 0.3702, "lr": 0.1000, "mem": 752, "time_avg": 3.5147, "time_diff": 3.6723, "top1_err": 10.0000, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:12:09", "iter": "390/938", "loss": 0.3381, "lr": 0.1000, "mem": 752, "time_avg": 3.5185, "time_diff": 3.7423, "top1_err": 10.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:11:49", "iter": "400/938", "loss": 0.4300, "lr": 0.1000, "mem": 752, "time_avg": 3.5220, "time_diff": 3.6969, "top1_err": 12.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:11:29", "iter": "410/938", "loss": 0.4786, "lr": 0.1000, "mem": 752, "time_avg": 3.5256, "time_diff": 3.5399, "top1_err": 15.0000, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:11:13", "iter": "420/938", "loss": 0.3393, "lr": 0.1000, "mem": 752, "time_avg": 3.5300, "time_diff": 3.6883, "top1_err": 8.7500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:10:55", "iter": "430/938", "loss": 0.3357, "lr": 0.1000, "mem": 752, "time_avg": 3.5342, "time_diff": 3.6847, "top1_err": 10.0000, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:10:34", "iter": "440/938", "loss": 0.2805, "lr": 0.1000, "mem": 752, "time_avg": 3.5374, "time_diff": 3.5790, "top1_err": 8.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:10:11", "iter": "450/938", "loss": 0.2966, "lr": 0.1000, "mem": 752, "time_avg": 3.5404, "time_diff": 3.7500, "top1_err": 8.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:09:52", "iter": "460/938", "loss": 0.4151, "lr": 0.1000, "mem": 752, "time_avg": 3.5443, "time_diff": 3.7511, "top1_err": 10.3125, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:09:25", "iter": "470/938", "loss": 0.2746, "lr": 0.1000, "mem": 752, "time_avg": 3.5463, "time_diff": 3.6651, "top1_err": 7.1875, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:09:03", "iter": "480/938", "loss": 0.2380, "lr": 0.1000, "mem": 752, "time_avg": 3.5495, "time_diff": 3.6965, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:08:38", "iter": "490/938", "loss": 0.3396, "lr": 0.1000, "mem": 752, "time_avg": 3.5520, "time_diff": 3.6217, "top1_err": 9.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:08:13", "iter": "500/938", "loss": 0.3213, "lr": 0.1000, "mem": 752, "time_avg": 3.5545, "time_diff": 3.6852, "top1_err": 9.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:07:48", "iter": "510/938", "loss": 0.3642, "lr": 0.1000, "mem": 752, "time_avg": 3.5570, "time_diff": 3.6466, "top1_err": 11.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:07:22", "iter": "520/938", "loss": 0.3163, "lr": 0.1000, "mem": 752, "time_avg": 3.5593, "time_diff": 3.6183, "top1_err": 10.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:06:58", "iter": "530/938", "loss": 0.3631, "lr": 0.1000, "mem": 752, "time_avg": 3.5621, "time_diff": 3.7353, "top1_err": 10.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:06:34", "iter": "540/938", "loss": 0.2817, "lr": 0.1000, "mem": 752, "time_avg": 3.5649, "time_diff": 3.7323, "top1_err": 8.7500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:06:04", "iter": "550/938", "loss": 0.3364, "lr": 0.1000, "mem": 752, "time_avg": 3.5662, "time_diff": 3.7682, "top1_err": 9.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:05:38", "iter": "560/938", "loss": 0.4312, "lr": 0.1000, "mem": 752, "time_avg": 3.5686, "time_diff": 3.7083, "top1_err": 12.5000, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:05:13", "iter": "570/938", "loss": 0.3531, "lr": 0.1000, "mem": 752, "time_avg": 3.5711, "time_diff": 3.7035, "top1_err": 11.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:04:44", "iter": "580/938", "loss": 0.2646, "lr": 0.1000, "mem": 752, "time_avg": 3.5729, "time_diff": 3.6570, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:04:16", "iter": "590/938", "loss": 0.3072, "lr": 0.1000, "mem": 752, "time_avg": 3.5748, "time_diff": 3.7091, "top1_err": 8.7500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:03:47", "iter": "600/938", "loss": 0.2439, "lr": 0.1000, "mem": 752, "time_avg": 3.5763, "time_diff": 3.8704, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:03:19", "iter": "610/938", "loss": 0.2817, "lr": 0.1000, "mem": 752, "time_avg": 3.5784, "time_diff": 3.7572, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:02:51", "iter": "620/938", "loss": 0.2155, "lr": 0.1000, "mem": 752, "time_avg": 3.5802, "time_diff": 3.7604, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:02:24", "iter": "630/938", "loss": 0.3111, "lr": 0.1000, "mem": 752, "time_avg": 3.5823, "time_diff": 3.7290, "top1_err": 7.5000, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:01:54", "iter": "640/938", "loss": 0.2643, "lr": 0.1000, "mem": 752, "time_avg": 3.5838, "time_diff": 3.7442, "top1_err": 7.1875, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:01:23", "iter": "650/938", "loss": 0.2733, "lr": 0.1000, "mem": 752, "time_avg": 3.5851, "time_diff": 3.6079, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:00:55", "iter": "660/938", "loss": 0.2860, "lr": 0.1000, "mem": 752, "time_avg": 3.5869, "time_diff": 3.7421, "top1_err": 10.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,04:00:24", "iter": "670/938", "loss": 0.3084, "lr": 0.1000, "mem": 752, "time_avg": 3.5883, "time_diff": 3.8071, "top1_err": 9.3750, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:59:53", "iter": "680/938", "loss": 0.2248, "lr": 0.1000, "mem": 752, "time_avg": 3.5895, "time_diff": 3.6350, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:59:26", "iter": "690/938", "loss": 0.3610, "lr": 0.1000, "mem": 752, "time_avg": 3.5917, "time_diff": 3.7443, "top1_err": 9.6875, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:58:57", "iter": "700/938", "loss": 0.2347, "lr": 0.1000, "mem": 752, "time_avg": 3.5933, "time_diff": 3.7004, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:58:26", "iter": "710/938", "loss": 0.2071, "lr": 0.1000, "mem": 752, "time_avg": 3.5947, "time_diff": 3.7069, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:57:56", "iter": "720/938", "loss": 0.2239, "lr": 0.1000, "mem": 752, "time_avg": 3.5961, "time_diff": 3.6438, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:57:28", "iter": "730/938", "loss": 0.1473, "lr": 0.1000, "mem": 752, "time_avg": 3.5980, "time_diff": 3.7879, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:56:56", "iter": "740/938", "loss": 0.2135, "lr": 0.1000, "mem": 752, "time_avg": 3.5992, "time_diff": 3.7479, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:56:26", "iter": "750/938", "loss": 0.1663, "lr": 0.1000, "mem": 752, "time_avg": 3.6005, "time_diff": 3.6196, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:55:55", "iter": "760/938", "loss": 0.3223, "lr": 0.1000, "mem": 752, "time_avg": 3.6018, "time_diff": 3.7068, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:55:22", "iter": "770/938", "loss": 0.2368, "lr": 0.1000, "mem": 752, "time_avg": 3.6028, "time_diff": 3.5633, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:54:51", "iter": "780/938", "loss": 0.3253, "lr": 0.1000, "mem": 752, "time_avg": 3.6041, "time_diff": 3.6091, "top1_err": 10.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:54:20", "iter": "790/938", "loss": 0.2248, "lr": 0.1000, "mem": 752, "time_avg": 3.6053, "time_diff": 3.5753, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:53:49", "iter": "800/938", "loss": 0.2768, "lr": 0.1000, "mem": 752, "time_avg": 3.6066, "time_diff": 3.6826, "top1_err": 9.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:53:18", "iter": "810/938", "loss": 0.2340, "lr": 0.1000, "mem": 752, "time_avg": 3.6078, "time_diff": 3.6754, "top1_err": 6.8750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:52:45", "iter": "820/938", "loss": 0.2188, "lr": 0.1000, "mem": 752, "time_avg": 3.6087, "time_diff": 3.6017, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:52:15", "iter": "830/938", "loss": 0.2162, "lr": 0.1000, "mem": 752, "time_avg": 3.6103, "time_diff": 3.7597, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:51:43", "iter": "840/938", "loss": 0.2492, "lr": 0.1000, "mem": 752, "time_avg": 3.6113, "time_diff": 3.8302, "top1_err": 6.2500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:51:12", "iter": "850/938", "loss": 0.2204, "lr": 0.1000, "mem": 752, "time_avg": 3.6127, "time_diff": 3.5832, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:50:40", "iter": "860/938", "loss": 0.2133, "lr": 0.1000, "mem": 752, "time_avg": 3.6136, "time_diff": 3.7451, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:50:09", "iter": "870/938", "loss": 0.3482, "lr": 0.1000, "mem": 752, "time_avg": 3.6150, "time_diff": 3.7114, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:49:37", "iter": "880/938", "loss": 0.2394, "lr": 0.1000, "mem": 752, "time_avg": 3.6162, "time_diff": 3.8615, "top1_err": 6.5625, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:49:05", "iter": "890/938", "loss": 0.2624, "lr": 0.1000, "mem": 752, "time_avg": 3.6172, "time_diff": 3.7628, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:48:34", "iter": "900/938", "loss": 0.2459, "lr": 0.1000, "mem": 752, "time_avg": 3.6185, "time_diff": 3.6946, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:48:02", "iter": "910/938", "loss": 0.2074, "lr": 0.1000, "mem": 752, "time_avg": 3.6197, "time_diff": 3.7921, "top1_err": 5.9375, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:47:29", "iter": "920/938", "loss": 0.2358, "lr": 0.1000, "mem": 752, "time_avg": 3.6206, "time_diff": 3.7221, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,03:47:06", "iter": "930/938", "loss": 0.2060, "lr": 0.1000, "mem": 752, "time_avg": 3.6241, "time_diff": 4.6455, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "1/5", "eta": "00,03:47:00", "loss": 0.4404, "lr": 0.1000, "mem": 752, "time_avg": 3.6301, "top1_err": 13.8033, "top5_err": 1.3367}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "10/938", "mem": 752, "time_avg": 0.1176, "time_diff": 0.0621, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "20/938", "mem": 752, "time_avg": 0.0943, "time_diff": 0.0681, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "30/938", "mem": 752, "time_avg": 0.0859, "time_diff": 0.0708, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "40/938", "mem": 752, "time_avg": 0.0847, "time_diff": 0.0602, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "50/938", "mem": 752, "time_avg": 0.0835, "time_diff": 0.0606, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "60/938", "mem": 752, "time_avg": 0.0819, "time_diff": 0.1076, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "70/938", "mem": 752, "time_avg": 0.0803, "time_diff": 0.1007, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "80/938", "mem": 752, "time_avg": 0.0794, "time_diff": 0.0684, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "90/938", "mem": 752, "time_avg": 0.0781, "time_diff": 0.0712, "top1_err": 6.5625, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "100/938", "mem": 752, "time_avg": 0.0777, "time_diff": 0.0768, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "110/938", "mem": 752, "time_avg": 0.0770, "time_diff": 0.0620, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "120/938", "mem": 752, "time_avg": 0.0762, "time_diff": 0.0703, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "130/938", "mem": 752, "time_avg": 0.0755, "time_diff": 0.0705, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "140/938", "mem": 752, "time_avg": 0.0746, "time_diff": 0.0608, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "150/938", "mem": 752, "time_avg": 0.0740, "time_diff": 0.0902, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "160/938", "mem": 752, "time_avg": 0.0735, "time_diff": 0.0594, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "170/938", "mem": 752, "time_avg": 0.0735, "time_diff": 0.0625, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "180/938", "mem": 752, "time_avg": 0.0733, "time_diff": 0.0620, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "190/938", "mem": 752, "time_avg": 0.0729, "time_diff": 0.0698, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "200/938", "mem": 752, "time_avg": 0.0725, "time_diff": 0.0620, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "210/938", "mem": 752, "time_avg": 0.0724, "time_diff": 0.0736, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "220/938", "mem": 752, "time_avg": 0.0723, "time_diff": 0.0711, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "230/938", "mem": 752, "time_avg": 0.0721, "time_diff": 0.0595, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "240/938", "mem": 752, "time_avg": 0.0718, "time_diff": 0.0612, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "250/938", "mem": 752, "time_avg": 0.0721, "time_diff": 0.0983, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "260/938", "mem": 752, "time_avg": 0.0720, "time_diff": 0.0805, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "270/938", "mem": 752, "time_avg": 0.0721, "time_diff": 0.0635, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "280/938", "mem": 752, "time_avg": 0.0718, "time_diff": 0.0605, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "290/938", "mem": 752, "time_avg": 0.0719, "time_diff": 0.0650, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "300/938", "mem": 752, "time_avg": 0.0716, "time_diff": 0.0611, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "310/938", "mem": 752, "time_avg": 0.0713, "time_diff": 0.0628, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "320/938", "mem": 752, "time_avg": 0.0710, "time_diff": 0.0619, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "330/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0598, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "340/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0627, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "350/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0990, "top1_err": 6.2500, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "360/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0774, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "370/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0880, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "380/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0686, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "390/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0690, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "400/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0602, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "410/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0716, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "420/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0616, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "430/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0709, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "440/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0685, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "450/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0699, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "460/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0591, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "470/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0627, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "480/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0704, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "490/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0745, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "500/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0620, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "510/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0705, "top1_err": 3.7500, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "520/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0637, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "530/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0708, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "540/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0629, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "550/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0625, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "560/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0898, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "570/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0655, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "580/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0621, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "590/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.1016, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "600/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0690, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "610/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0640, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "620/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0771, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "630/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0671, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "640/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0629, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "650/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0715, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "660/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0657, "top1_err": 5.0000, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "670/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0610, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "680/938", "mem": 752, "time_avg": 0.0694, "time_diff": 0.0799, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "690/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0627, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "700/938", "mem": 752, "time_avg": 0.0694, "time_diff": 0.0622, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "710/938", "mem": 752, "time_avg": 0.0694, "time_diff": 0.0653, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "720/938", "mem": 752, "time_avg": 0.0694, "time_diff": 0.0652, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "730/938", "mem": 752, "time_avg": 0.0693, "time_diff": 0.0706, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "740/938", "mem": 752, "time_avg": 0.0693, "time_diff": 0.0732, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "750/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0624, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "760/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0729, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "770/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0701, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "780/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0921, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "790/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0607, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "800/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0700, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "810/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0621, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "820/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0616, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "830/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0610, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "840/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0710, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "850/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0645, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "860/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0706, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "870/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0615, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "880/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0605, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "890/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0627, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "900/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0711, "top1_err": 5.0000, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "910/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.1059, "top1_err": 5.6250, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "920/938", "mem": 752, "time_avg": 0.0693, "time_diff": 0.0600, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "930/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0590, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "1/5", "mem": 752, "min_top1_err": 4.7567, "min_top5_err": 0.1400, "top1_err": 4.7567, "top5_err": 0.1400}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:47:03", "iter": "10/938", "loss": 0.1394, "lr": 0.0905, "mem": 752, "time_avg": 3.6407, "time_diff": 4.3255, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:47:51", "iter": "20/938", "loss": 0.1868, "lr": 0.0905, "mem": 752, "time_avg": 3.6634, "time_diff": 5.7303, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:48:17", "iter": "30/938", "loss": 0.2379, "lr": 0.0905, "mem": 752, "time_avg": 3.6801, "time_diff": 4.5934, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:48:15", "iter": "40/938", "loss": 0.1316, "lr": 0.0905, "mem": 752, "time_avg": 3.6896, "time_diff": 4.3064, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:47:56", "iter": "50/938", "loss": 0.2080, "lr": 0.0905, "mem": 752, "time_avg": 3.6942, "time_diff": 3.5666, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:47:19", "iter": "60/938", "loss": 0.2403, "lr": 0.0905, "mem": 752, "time_avg": 3.6942, "time_diff": 3.6963, "top1_err": 7.1875, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:46:40", "iter": "70/938", "loss": 0.2473, "lr": 0.0905, "mem": 752, "time_avg": 3.6938, "time_diff": 3.5638, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:46:04", "iter": "80/938", "loss": 0.3478, "lr": 0.0905, "mem": 752, "time_avg": 3.6940, "time_diff": 3.7021, "top1_err": 9.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:45:25", "iter": "90/938", "loss": 0.2203, "lr": 0.0905, "mem": 752, "time_avg": 3.6935, "time_diff": 3.5270, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:44:47", "iter": "100/938", "loss": 0.2666, "lr": 0.0905, "mem": 752, "time_avg": 3.6931, "time_diff": 3.7403, "top1_err": 8.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:44:08", "iter": "110/938", "loss": 0.2740, "lr": 0.0905, "mem": 752, "time_avg": 3.6926, "time_diff": 3.6282, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:43:31", "iter": "120/938", "loss": 0.1968, "lr": 0.0905, "mem": 752, "time_avg": 3.6925, "time_diff": 3.7528, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:42:55", "iter": "130/938", "loss": 0.3023, "lr": 0.0905, "mem": 752, "time_avg": 3.6928, "time_diff": 3.7529, "top1_err": 9.0625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:42:16", "iter": "140/938", "loss": 0.2358, "lr": 0.0905, "mem": 752, "time_avg": 3.6923, "time_diff": 3.6655, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:41:40", "iter": "150/938", "loss": 0.2569, "lr": 0.0905, "mem": 752, "time_avg": 3.6926, "time_diff": 3.6760, "top1_err": 8.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:41:03", "iter": "160/938", "loss": 0.1972, "lr": 0.0905, "mem": 752, "time_avg": 3.6925, "time_diff": 3.6716, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:40:25", "iter": "170/938", "loss": 0.2452, "lr": 0.0905, "mem": 752, "time_avg": 3.6923, "time_diff": 3.7138, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:39:48", "iter": "180/938", "loss": 0.2767, "lr": 0.0905, "mem": 752, "time_avg": 3.6922, "time_diff": 3.6702, "top1_err": 8.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:39:10", "iter": "190/938", "loss": 0.1831, "lr": 0.0905, "mem": 752, "time_avg": 3.6918, "time_diff": 3.7358, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:38:32", "iter": "200/938", "loss": 0.1507, "lr": 0.0905, "mem": 752, "time_avg": 3.6916, "time_diff": 3.5918, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:37:53", "iter": "210/938", "loss": 0.2182, "lr": 0.0905, "mem": 752, "time_avg": 3.6911, "time_diff": 3.6196, "top1_err": 6.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:37:17", "iter": "220/938", "loss": 0.2508, "lr": 0.0905, "mem": 752, "time_avg": 3.6912, "time_diff": 3.6975, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:36:40", "iter": "230/938", "loss": 0.1473, "lr": 0.0905, "mem": 752, "time_avg": 3.6912, "time_diff": 3.7472, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:36:03", "iter": "240/938", "loss": 0.1877, "lr": 0.0905, "mem": 752, "time_avg": 3.6913, "time_diff": 3.6436, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:35:26", "iter": "250/938", "loss": 0.2113, "lr": 0.0905, "mem": 752, "time_avg": 3.6911, "time_diff": 3.6848, "top1_err": 6.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:34:48", "iter": "260/938", "loss": 0.1968, "lr": 0.0905, "mem": 752, "time_avg": 3.6910, "time_diff": 3.6172, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:34:11", "iter": "270/938", "loss": 0.1586, "lr": 0.0905, "mem": 752, "time_avg": 3.6908, "time_diff": 3.6043, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:33:33", "iter": "280/938", "loss": 0.1304, "lr": 0.0905, "mem": 752, "time_avg": 3.6904, "time_diff": 3.5432, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:32:55", "iter": "290/938", "loss": 0.1411, "lr": 0.0905, "mem": 752, "time_avg": 3.6903, "time_diff": 3.5936, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:32:16", "iter": "300/938", "loss": 0.2186, "lr": 0.0905, "mem": 752, "time_avg": 3.6897, "time_diff": 3.7401, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:31:38", "iter": "310/938", "loss": 0.1671, "lr": 0.0905, "mem": 752, "time_avg": 3.6893, "time_diff": 3.6819, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:31:00", "iter": "320/938", "loss": 0.1944, "lr": 0.0905, "mem": 752, "time_avg": 3.6890, "time_diff": 3.8047, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:30:23", "iter": "330/938", "loss": 0.2206, "lr": 0.0905, "mem": 752, "time_avg": 3.6888, "time_diff": 3.6761, "top1_err": 6.8750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:29:45", "iter": "340/938", "loss": 0.2571, "lr": 0.0905, "mem": 752, "time_avg": 3.6887, "time_diff": 3.7452, "top1_err": 8.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:29:09", "iter": "350/938", "loss": 0.1485, "lr": 0.0905, "mem": 752, "time_avg": 3.6887, "time_diff": 3.7132, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:28:30", "iter": "360/938", "loss": 0.2288, "lr": 0.0905, "mem": 752, "time_avg": 3.6882, "time_diff": 3.6726, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:27:53", "iter": "370/938", "loss": 0.1874, "lr": 0.0905, "mem": 752, "time_avg": 3.6883, "time_diff": 3.7591, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:27:17", "iter": "380/938", "loss": 0.2195, "lr": 0.0905, "mem": 752, "time_avg": 3.6883, "time_diff": 3.7490, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:26:38", "iter": "390/938", "loss": 0.2660, "lr": 0.0905, "mem": 752, "time_avg": 3.6880, "time_diff": 3.7140, "top1_err": 8.7500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:26:00", "iter": "400/938", "loss": 0.1785, "lr": 0.0905, "mem": 752, "time_avg": 3.6876, "time_diff": 3.7098, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:25:24", "iter": "410/938", "loss": 0.1389, "lr": 0.0905, "mem": 752, "time_avg": 3.6878, "time_diff": 3.6365, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:24:46", "iter": "420/938", "loss": 0.1495, "lr": 0.0905, "mem": 752, "time_avg": 3.6874, "time_diff": 3.6514, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:24:08", "iter": "430/938", "loss": 0.1465, "lr": 0.0905, "mem": 752, "time_avg": 3.6871, "time_diff": 3.6991, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:23:31", "iter": "440/938", "loss": 0.1366, "lr": 0.0905, "mem": 752, "time_avg": 3.6870, "time_diff": 3.6692, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:22:52", "iter": "450/938", "loss": 0.2371, "lr": 0.0905, "mem": 752, "time_avg": 3.6865, "time_diff": 3.5521, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:22:15", "iter": "460/938", "loss": 0.2443, "lr": 0.0905, "mem": 752, "time_avg": 3.6863, "time_diff": 3.7687, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:21:38", "iter": "470/938", "loss": 0.1771, "lr": 0.0905, "mem": 752, "time_avg": 3.6864, "time_diff": 3.6988, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:21:01", "iter": "480/938", "loss": 0.1498, "lr": 0.0905, "mem": 752, "time_avg": 3.6863, "time_diff": 3.7063, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:20:23", "iter": "490/938", "loss": 0.1211, "lr": 0.0905, "mem": 752, "time_avg": 3.6861, "time_diff": 3.6027, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:19:46", "iter": "500/938", "loss": 0.1333, "lr": 0.0905, "mem": 752, "time_avg": 3.6860, "time_diff": 3.7241, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:19:09", "iter": "510/938", "loss": 0.2128, "lr": 0.0905, "mem": 752, "time_avg": 3.6859, "time_diff": 3.8057, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:18:32", "iter": "520/938", "loss": 0.1869, "lr": 0.0905, "mem": 752, "time_avg": 3.6859, "time_diff": 3.6609, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:17:54", "iter": "530/938", "loss": 0.1614, "lr": 0.0905, "mem": 752, "time_avg": 3.6855, "time_diff": 3.5924, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:17:16", "iter": "540/938", "loss": 0.0913, "lr": 0.0905, "mem": 752, "time_avg": 3.6850, "time_diff": 3.5284, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:16:37", "iter": "550/938", "loss": 0.1536, "lr": 0.0905, "mem": 752, "time_avg": 3.6845, "time_diff": 3.6718, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:16:00", "iter": "560/938", "loss": 0.1543, "lr": 0.0905, "mem": 752, "time_avg": 3.6845, "time_diff": 3.7312, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:15:22", "iter": "570/938", "loss": 0.1367, "lr": 0.0905, "mem": 752, "time_avg": 3.6841, "time_diff": 3.5068, "top1_err": 4.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:14:45", "iter": "580/938", "loss": 0.1577, "lr": 0.0905, "mem": 752, "time_avg": 3.6839, "time_diff": 3.6756, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:14:07", "iter": "590/938", "loss": 0.2132, "lr": 0.0905, "mem": 752, "time_avg": 3.6836, "time_diff": 3.5497, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:13:29", "iter": "600/938", "loss": 0.1571, "lr": 0.0905, "mem": 752, "time_avg": 3.6833, "time_diff": 3.6493, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:12:52", "iter": "610/938", "loss": 0.2163, "lr": 0.0905, "mem": 752, "time_avg": 3.6833, "time_diff": 3.5893, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:12:15", "iter": "620/938", "loss": 0.1566, "lr": 0.0905, "mem": 752, "time_avg": 3.6830, "time_diff": 3.5565, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:11:37", "iter": "630/938", "loss": 0.1942, "lr": 0.0905, "mem": 752, "time_avg": 3.6827, "time_diff": 3.6767, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:11:00", "iter": "640/938", "loss": 0.1453, "lr": 0.0905, "mem": 752, "time_avg": 3.6825, "time_diff": 3.7256, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:10:22", "iter": "650/938", "loss": 0.1635, "lr": 0.0905, "mem": 752, "time_avg": 3.6822, "time_diff": 3.6079, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:09:44", "iter": "660/938", "loss": 0.1146, "lr": 0.0905, "mem": 752, "time_avg": 3.6820, "time_diff": 3.8141, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:09:07", "iter": "670/938", "loss": 0.1680, "lr": 0.0905, "mem": 752, "time_avg": 3.6818, "time_diff": 3.6486, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:08:29", "iter": "680/938", "loss": 0.2002, "lr": 0.0905, "mem": 752, "time_avg": 3.6816, "time_diff": 3.6579, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:07:52", "iter": "690/938", "loss": 0.1761, "lr": 0.0905, "mem": 752, "time_avg": 3.6813, "time_diff": 3.7067, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:07:14", "iter": "700/938", "loss": 0.2445, "lr": 0.0905, "mem": 752, "time_avg": 3.6811, "time_diff": 3.6809, "top1_err": 9.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:06:36", "iter": "710/938", "loss": 0.1732, "lr": 0.0905, "mem": 752, "time_avg": 3.6807, "time_diff": 3.6574, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:05:59", "iter": "720/938", "loss": 0.1665, "lr": 0.0905, "mem": 752, "time_avg": 3.6806, "time_diff": 3.7889, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:05:21", "iter": "730/938", "loss": 0.2845, "lr": 0.0905, "mem": 752, "time_avg": 3.6803, "time_diff": 3.6879, "top1_err": 9.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:04:43", "iter": "740/938", "loss": 0.1774, "lr": 0.0905, "mem": 752, "time_avg": 3.6799, "time_diff": 3.6510, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:04:06", "iter": "750/938", "loss": 0.1546, "lr": 0.0905, "mem": 752, "time_avg": 3.6798, "time_diff": 3.6250, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:03:30", "iter": "760/938", "loss": 0.1706, "lr": 0.0905, "mem": 752, "time_avg": 3.6799, "time_diff": 3.6950, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:02:52", "iter": "770/938", "loss": 0.1451, "lr": 0.0905, "mem": 752, "time_avg": 3.6797, "time_diff": 3.7535, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:02:16", "iter": "780/938", "loss": 0.1489, "lr": 0.0905, "mem": 752, "time_avg": 3.6797, "time_diff": 3.6963, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:01:38", "iter": "790/938", "loss": 0.1514, "lr": 0.0905, "mem": 752, "time_avg": 3.6794, "time_diff": 3.5767, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:01:01", "iter": "800/938", "loss": 0.1803, "lr": 0.0905, "mem": 752, "time_avg": 3.6792, "time_diff": 3.5746, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,03:00:23", "iter": "810/938", "loss": 0.1811, "lr": 0.0905, "mem": 752, "time_avg": 3.6790, "time_diff": 3.4779, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:59:47", "iter": "820/938", "loss": 0.2034, "lr": 0.0905, "mem": 752, "time_avg": 3.6791, "time_diff": 3.6348, "top1_err": 6.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:59:10", "iter": "830/938", "loss": 0.1828, "lr": 0.0905, "mem": 752, "time_avg": 3.6790, "time_diff": 3.5767, "top1_err": 5.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:58:32", "iter": "840/938", "loss": 0.2232, "lr": 0.0905, "mem": 752, "time_avg": 3.6787, "time_diff": 3.6395, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:57:54", "iter": "850/938", "loss": 0.2010, "lr": 0.0905, "mem": 752, "time_avg": 3.6782, "time_diff": 3.5186, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:57:16", "iter": "860/938", "loss": 0.1566, "lr": 0.0905, "mem": 752, "time_avg": 3.6780, "time_diff": 3.7739, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:56:40", "iter": "870/938", "loss": 0.1850, "lr": 0.0905, "mem": 752, "time_avg": 3.6781, "time_diff": 3.7493, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:56:03", "iter": "880/938", "loss": 0.1388, "lr": 0.0905, "mem": 752, "time_avg": 3.6780, "time_diff": 3.6071, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:55:25", "iter": "890/938", "loss": 0.1225, "lr": 0.0905, "mem": 752, "time_avg": 3.6778, "time_diff": 3.6320, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:54:47", "iter": "900/938", "loss": 0.1149, "lr": 0.0905, "mem": 752, "time_avg": 3.6773, "time_diff": 3.5915, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:54:09", "iter": "910/938", "loss": 0.1218, "lr": 0.0905, "mem": 752, "time_avg": 3.6770, "time_diff": 3.5902, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:53:32", "iter": "920/938", "loss": 0.2546, "lr": 0.0905, "mem": 752, "time_avg": 3.6767, "time_diff": 3.5858, "top1_err": 7.5000, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:52:54", "iter": "930/938", "loss": 0.2291, "lr": 0.0905, "mem": 752, "time_avg": 3.6765, "time_diff": 3.5233, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "2/5", "eta": "00,02:52:22", "loss": 0.1892, "lr": 0.0905, "mem": 752, "time_avg": 3.6755, "top1_err": 5.6800, "top5_err": 0.1333}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "10/938", "mem": 752, "time_avg": 0.1103, "time_diff": 0.0798, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "20/938", "mem": 752, "time_avg": 0.0906, "time_diff": 0.1046, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "30/938", "mem": 752, "time_avg": 0.0838, "time_diff": 0.0938, "top1_err": 3.1250, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "40/938", "mem": 752, "time_avg": 0.0793, "time_diff": 0.0617, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "50/938", "mem": 752, "time_avg": 0.0760, "time_diff": 0.0606, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "60/938", "mem": 752, "time_avg": 0.0737, "time_diff": 0.0606, "top1_err": 4.6875, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "70/938", "mem": 752, "time_avg": 0.0725, "time_diff": 0.0610, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "80/938", "mem": 752, "time_avg": 0.0714, "time_diff": 0.0620, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "90/938", "mem": 752, "time_avg": 0.0713, "time_diff": 0.0610, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "100/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0613, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "110/938", "mem": 752, "time_avg": 0.0710, "time_diff": 0.0710, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "120/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0600, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "130/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0602, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "140/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0865, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "150/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0609, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "160/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0615, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "170/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0642, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "180/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0674, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "190/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0638, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "200/938", "mem": 752, "time_avg": 0.0686, "time_diff": 0.0596, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "210/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0692, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "220/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0617, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "230/938", "mem": 752, "time_avg": 0.0681, "time_diff": 0.0680, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "240/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0978, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "250/938", "mem": 752, "time_avg": 0.0678, "time_diff": 0.0698, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "260/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0610, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "270/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0647, "top1_err": 5.0000, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "280/938", "mem": 752, "time_avg": 0.0675, "time_diff": 0.0642, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "290/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0611, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "300/938", "mem": 752, "time_avg": 0.0674, "time_diff": 0.0613, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "310/938", "mem": 752, "time_avg": 0.0673, "time_diff": 0.0596, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "320/938", "mem": 752, "time_avg": 0.0671, "time_diff": 0.0610, "top1_err": 2.5000, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "330/938", "mem": 752, "time_avg": 0.0671, "time_diff": 0.0955, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "340/938", "mem": 752, "time_avg": 0.0672, "time_diff": 0.0606, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "350/938", "mem": 752, "time_avg": 0.0672, "time_diff": 0.0737, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "360/938", "mem": 752, "time_avg": 0.0674, "time_diff": 0.1052, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "370/938", "mem": 752, "time_avg": 0.0676, "time_diff": 0.0687, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "380/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0724, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "390/938", "mem": 752, "time_avg": 0.0681, "time_diff": 0.0599, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "400/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0603, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "410/938", "mem": 752, "time_avg": 0.0678, "time_diff": 0.0605, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "420/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0800, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "430/938", "mem": 752, "time_avg": 0.0683, "time_diff": 0.0979, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "440/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0615, "top1_err": 4.0625, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "450/938", "mem": 752, "time_avg": 0.0685, "time_diff": 0.0610, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "460/938", "mem": 752, "time_avg": 0.0683, "time_diff": 0.0658, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "470/938", "mem": 752, "time_avg": 0.0683, "time_diff": 0.0610, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "480/938", "mem": 752, "time_avg": 0.0683, "time_diff": 0.0633, "top1_err": 6.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "490/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0732, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "500/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0695, "top1_err": 3.7500, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "510/938", "mem": 752, "time_avg": 0.0681, "time_diff": 0.0618, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "520/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0616, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "530/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0701, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "540/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0622, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "550/938", "mem": 752, "time_avg": 0.0678, "time_diff": 0.0610, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "560/938", "mem": 752, "time_avg": 0.0678, "time_diff": 0.0619, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "570/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0637, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "580/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0614, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "590/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0656, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "600/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0613, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "610/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0795, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "620/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0607, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "630/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0696, "top1_err": 3.7500, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "640/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0700, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "650/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0638, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "660/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0627, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "670/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0859, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "680/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0697, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "690/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0616, "top1_err": 0.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "700/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0602, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "710/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0849, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "720/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0626, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "730/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0723, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "740/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0799, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "750/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0879, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "760/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0614, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "770/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0720, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "780/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0698, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "790/938", "mem": 752, "time_avg": 0.0685, "time_diff": 0.0626, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "800/938", "mem": 752, "time_avg": 0.0687, "time_diff": 0.0949, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "810/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0958, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "820/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0692, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "830/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0866, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "840/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0616, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "850/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0661, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "860/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0693, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "870/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0683, "top1_err": 3.4375, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "880/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0778, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "890/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0836, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "900/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0618, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "910/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0703, "top1_err": 6.5625, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "920/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0722, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "930/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0613, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "2/5", "mem": 752, "min_top1_err": 3.9967, "min_top5_err": 0.1400, "top1_err": 3.9967, "top5_err": 0.1633}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:52:01", "iter": "10/938", "loss": 0.1794, "lr": 0.0658, "mem": 752, "time_avg": 3.6811, "time_diff": 5.8209, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:51:48", "iter": "20/938", "loss": 0.1556, "lr": 0.0658, "mem": 752, "time_avg": 3.6895, "time_diff": 6.2034, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:51:45", "iter": "30/938", "loss": 0.1212, "lr": 0.0658, "mem": 752, "time_avg": 3.7018, "time_diff": 4.3464, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:51:20", "iter": "40/938", "loss": 0.1543, "lr": 0.0658, "mem": 752, "time_avg": 3.7060, "time_diff": 4.2193, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:50:49", "iter": "50/938", "loss": 0.1487, "lr": 0.0658, "mem": 752, "time_avg": 3.7081, "time_diff": 3.6369, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:50:16", "iter": "60/938", "loss": 0.1668, "lr": 0.0658, "mem": 752, "time_avg": 3.7095, "time_diff": 4.3755, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:49:47", "iter": "70/938", "loss": 0.2022, "lr": 0.0658, "mem": 752, "time_avg": 3.7126, "time_diff": 4.3103, "top1_err": 4.3750, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:49:11", "iter": "80/938", "loss": 0.1469, "lr": 0.0658, "mem": 752, "time_avg": 3.7132, "time_diff": 3.5886, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:48:33", "iter": "90/938", "loss": 0.1749, "lr": 0.0658, "mem": 752, "time_avg": 3.7128, "time_diff": 3.5898, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:47:55", "iter": "100/938", "loss": 0.1433, "lr": 0.0658, "mem": 752, "time_avg": 3.7123, "time_diff": 3.6973, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:47:17", "iter": "110/938", "loss": 0.1764, "lr": 0.0658, "mem": 752, "time_avg": 3.7119, "time_diff": 3.5453, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:46:39", "iter": "120/938", "loss": 0.1614, "lr": 0.0658, "mem": 752, "time_avg": 3.7117, "time_diff": 3.6808, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:46:00", "iter": "130/938", "loss": 0.1223, "lr": 0.0658, "mem": 752, "time_avg": 3.7112, "time_diff": 3.6154, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:45:23", "iter": "140/938", "loss": 0.1250, "lr": 0.0658, "mem": 752, "time_avg": 3.7112, "time_diff": 3.6248, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:44:45", "iter": "150/938", "loss": 0.1163, "lr": 0.0658, "mem": 752, "time_avg": 3.7107, "time_diff": 3.5982, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:44:06", "iter": "160/938", "loss": 0.1327, "lr": 0.0658, "mem": 752, "time_avg": 3.7102, "time_diff": 3.6578, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:43:29", "iter": "170/938", "loss": 0.1187, "lr": 0.0658, "mem": 752, "time_avg": 3.7101, "time_diff": 3.6885, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:42:50", "iter": "180/938", "loss": 0.1568, "lr": 0.0658, "mem": 752, "time_avg": 3.7093, "time_diff": 3.5235, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:42:12", "iter": "190/938", "loss": 0.1317, "lr": 0.0658, "mem": 752, "time_avg": 3.7090, "time_diff": 3.6027, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:41:35", "iter": "200/938", "loss": 0.0820, "lr": 0.0658, "mem": 752, "time_avg": 3.7089, "time_diff": 3.6353, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:40:57", "iter": "210/938", "loss": 0.1413, "lr": 0.0658, "mem": 752, "time_avg": 3.7085, "time_diff": 3.5934, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:40:18", "iter": "220/938", "loss": 0.1349, "lr": 0.0658, "mem": 752, "time_avg": 3.7081, "time_diff": 3.6001, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:39:40", "iter": "230/938", "loss": 0.1437, "lr": 0.0658, "mem": 752, "time_avg": 3.7076, "time_diff": 3.6760, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:39:02", "iter": "240/938", "loss": 0.1507, "lr": 0.0658, "mem": 752, "time_avg": 3.7071, "time_diff": 3.5094, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:38:23", "iter": "250/938", "loss": 0.0721, "lr": 0.0658, "mem": 752, "time_avg": 3.7063, "time_diff": 3.5416, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:37:43", "iter": "260/938", "loss": 0.1130, "lr": 0.0658, "mem": 752, "time_avg": 3.7054, "time_diff": 3.4942, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:37:04", "iter": "270/938", "loss": 0.1151, "lr": 0.0658, "mem": 752, "time_avg": 3.7045, "time_diff": 3.4686, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:36:25", "iter": "280/938", "loss": 0.1753, "lr": 0.0658, "mem": 752, "time_avg": 3.7037, "time_diff": 3.5279, "top1_err": 4.0625, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:35:46", "iter": "290/938", "loss": 0.1239, "lr": 0.0658, "mem": 752, "time_avg": 3.7030, "time_diff": 3.5362, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:35:07", "iter": "300/938", "loss": 0.0761, "lr": 0.0658, "mem": 752, "time_avg": 3.7022, "time_diff": 3.5072, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:34:28", "iter": "310/938", "loss": 0.1305, "lr": 0.0658, "mem": 752, "time_avg": 3.7014, "time_diff": 3.4740, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:33:49", "iter": "320/938", "loss": 0.1360, "lr": 0.0658, "mem": 752, "time_avg": 3.7005, "time_diff": 3.8038, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:33:10", "iter": "330/938", "loss": 0.1336, "lr": 0.0658, "mem": 752, "time_avg": 3.6998, "time_diff": 3.6004, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:32:31", "iter": "340/938", "loss": 0.1438, "lr": 0.0658, "mem": 752, "time_avg": 3.6990, "time_diff": 3.5562, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:31:52", "iter": "350/938", "loss": 0.1172, "lr": 0.0658, "mem": 752, "time_avg": 3.6983, "time_diff": 3.5041, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:31:13", "iter": "360/938", "loss": 0.1592, "lr": 0.0658, "mem": 752, "time_avg": 3.6975, "time_diff": 3.4952, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:30:35", "iter": "370/938", "loss": 0.1576, "lr": 0.0658, "mem": 752, "time_avg": 3.6969, "time_diff": 3.5193, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:29:56", "iter": "380/938", "loss": 0.0805, "lr": 0.0658, "mem": 752, "time_avg": 3.6961, "time_diff": 3.5094, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:29:17", "iter": "390/938", "loss": 0.1141, "lr": 0.0658, "mem": 752, "time_avg": 3.6953, "time_diff": 3.5368, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:28:38", "iter": "400/938", "loss": 0.1126, "lr": 0.0658, "mem": 752, "time_avg": 3.6945, "time_diff": 3.6077, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:28:00", "iter": "410/938", "loss": 0.0814, "lr": 0.0658, "mem": 752, "time_avg": 3.6939, "time_diff": 3.5761, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:27:20", "iter": "420/938", "loss": 0.1262, "lr": 0.0658, "mem": 752, "time_avg": 3.6929, "time_diff": 3.4064, "top1_err": 3.1250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:26:41", "iter": "430/938", "loss": 0.0868, "lr": 0.0658, "mem": 752, "time_avg": 3.6921, "time_diff": 3.5382, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:26:03", "iter": "440/938", "loss": 0.1526, "lr": 0.0658, "mem": 752, "time_avg": 3.6914, "time_diff": 3.4735, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:25:24", "iter": "450/938", "loss": 0.0746, "lr": 0.0658, "mem": 752, "time_avg": 3.6907, "time_diff": 3.4718, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:24:45", "iter": "460/938", "loss": 0.1728, "lr": 0.0658, "mem": 752, "time_avg": 3.6898, "time_diff": 3.4671, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:24:06", "iter": "470/938", "loss": 0.1593, "lr": 0.0658, "mem": 752, "time_avg": 3.6890, "time_diff": 3.5352, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:23:28", "iter": "480/938", "loss": 0.1008, "lr": 0.0658, "mem": 752, "time_avg": 3.6884, "time_diff": 3.6150, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:22:50", "iter": "490/938", "loss": 0.1076, "lr": 0.0658, "mem": 752, "time_avg": 3.6876, "time_diff": 3.5315, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:22:11", "iter": "500/938", "loss": 0.1053, "lr": 0.0658, "mem": 752, "time_avg": 3.6869, "time_diff": 3.5099, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:21:33", "iter": "510/938", "loss": 0.0763, "lr": 0.0658, "mem": 752, "time_avg": 3.6862, "time_diff": 3.5322, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:20:55", "iter": "520/938", "loss": 0.1433, "lr": 0.0658, "mem": 752, "time_avg": 3.6858, "time_diff": 3.6259, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:20:16", "iter": "530/938", "loss": 0.1015, "lr": 0.0658, "mem": 752, "time_avg": 3.6851, "time_diff": 3.4973, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:19:38", "iter": "540/938", "loss": 0.1293, "lr": 0.0658, "mem": 752, "time_avg": 3.6846, "time_diff": 3.5828, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:19:00", "iter": "550/938", "loss": 0.1409, "lr": 0.0658, "mem": 752, "time_avg": 3.6839, "time_diff": 3.5269, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:18:22", "iter": "560/938", "loss": 0.1418, "lr": 0.0658, "mem": 752, "time_avg": 3.6833, "time_diff": 3.5420, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:17:44", "iter": "570/938", "loss": 0.0848, "lr": 0.0658, "mem": 752, "time_avg": 3.6828, "time_diff": 3.4744, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:17:05", "iter": "580/938", "loss": 0.0779, "lr": 0.0658, "mem": 752, "time_avg": 3.6821, "time_diff": 3.5168, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:16:27", "iter": "590/938", "loss": 0.1212, "lr": 0.0658, "mem": 752, "time_avg": 3.6815, "time_diff": 3.5484, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:15:49", "iter": "600/938", "loss": 0.1154, "lr": 0.0658, "mem": 752, "time_avg": 3.6808, "time_diff": 3.5222, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:15:10", "iter": "610/938", "loss": 0.0787, "lr": 0.0658, "mem": 752, "time_avg": 3.6801, "time_diff": 3.4199, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:14:32", "iter": "620/938", "loss": 0.1339, "lr": 0.0658, "mem": 752, "time_avg": 3.6794, "time_diff": 3.5721, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:13:54", "iter": "630/938", "loss": 0.0795, "lr": 0.0658, "mem": 752, "time_avg": 3.6788, "time_diff": 3.5768, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:13:16", "iter": "640/938", "loss": 0.1998, "lr": 0.0658, "mem": 752, "time_avg": 3.6782, "time_diff": 3.5497, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:12:38", "iter": "650/938", "loss": 0.1508, "lr": 0.0658, "mem": 752, "time_avg": 3.6776, "time_diff": 3.5891, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:12:00", "iter": "660/938", "loss": 0.1124, "lr": 0.0658, "mem": 752, "time_avg": 3.6770, "time_diff": 3.4775, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:11:22", "iter": "670/938", "loss": 0.1117, "lr": 0.0658, "mem": 752, "time_avg": 3.6764, "time_diff": 3.5079, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:10:44", "iter": "680/938", "loss": 0.1213, "lr": 0.0658, "mem": 752, "time_avg": 3.6759, "time_diff": 3.5577, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:10:05", "iter": "690/938", "loss": 0.1173, "lr": 0.0658, "mem": 752, "time_avg": 3.6751, "time_diff": 3.4626, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:09:28", "iter": "700/938", "loss": 0.1734, "lr": 0.0658, "mem": 752, "time_avg": 3.6746, "time_diff": 3.5002, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:08:50", "iter": "710/938", "loss": 0.1960, "lr": 0.0658, "mem": 752, "time_avg": 3.6740, "time_diff": 3.6242, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:08:12", "iter": "720/938", "loss": 0.1141, "lr": 0.0658, "mem": 752, "time_avg": 3.6735, "time_diff": 3.5308, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:07:34", "iter": "730/938", "loss": 0.0950, "lr": 0.0658, "mem": 752, "time_avg": 3.6729, "time_diff": 3.5108, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:06:56", "iter": "740/938", "loss": 0.1952, "lr": 0.0658, "mem": 752, "time_avg": 3.6724, "time_diff": 3.5428, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:06:18", "iter": "750/938", "loss": 0.0817, "lr": 0.0658, "mem": 752, "time_avg": 3.6718, "time_diff": 3.4010, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:05:40", "iter": "760/938", "loss": 0.1523, "lr": 0.0658, "mem": 752, "time_avg": 3.6713, "time_diff": 3.5612, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:05:03", "iter": "770/938", "loss": 0.1048, "lr": 0.0658, "mem": 752, "time_avg": 3.6708, "time_diff": 3.5741, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:04:25", "iter": "780/938", "loss": 0.1367, "lr": 0.0658, "mem": 752, "time_avg": 3.6702, "time_diff": 3.4919, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:03:47", "iter": "790/938", "loss": 0.1023, "lr": 0.0658, "mem": 752, "time_avg": 3.6697, "time_diff": 3.5048, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:03:09", "iter": "800/938", "loss": 0.0939, "lr": 0.0658, "mem": 752, "time_avg": 3.6692, "time_diff": 3.5379, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:02:32", "iter": "810/938", "loss": 0.1396, "lr": 0.0658, "mem": 752, "time_avg": 3.6687, "time_diff": 3.5173, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:01:54", "iter": "820/938", "loss": 0.1523, "lr": 0.0658, "mem": 752, "time_avg": 3.6682, "time_diff": 3.5318, "top1_err": 4.0625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:01:16", "iter": "830/938", "loss": 0.1056, "lr": 0.0658, "mem": 752, "time_avg": 3.6677, "time_diff": 3.5655, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:00:39", "iter": "840/938", "loss": 0.0631, "lr": 0.0658, "mem": 752, "time_avg": 3.6672, "time_diff": 3.6201, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:00:01", "iter": "850/938", "loss": 0.1168, "lr": 0.0658, "mem": 752, "time_avg": 3.6668, "time_diff": 3.5908, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:59:23", "iter": "860/938", "loss": 0.1616, "lr": 0.0658, "mem": 752, "time_avg": 3.6663, "time_diff": 3.5246, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:58:46", "iter": "870/938", "loss": 0.1665, "lr": 0.0658, "mem": 752, "time_avg": 3.6657, "time_diff": 3.5329, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:58:08", "iter": "880/938", "loss": 0.2107, "lr": 0.0658, "mem": 752, "time_avg": 3.6652, "time_diff": 3.5981, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:57:31", "iter": "890/938", "loss": 0.2069, "lr": 0.0658, "mem": 752, "time_avg": 3.6648, "time_diff": 3.5145, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:56:53", "iter": "900/938", "loss": 0.1155, "lr": 0.0658, "mem": 752, "time_avg": 3.6643, "time_diff": 3.6083, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:56:15", "iter": "910/938", "loss": 0.1313, "lr": 0.0658, "mem": 752, "time_avg": 3.6638, "time_diff": 3.5495, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:55:38", "iter": "920/938", "loss": 0.1302, "lr": 0.0658, "mem": 752, "time_avg": 3.6633, "time_diff": 3.5627, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:55:00", "iter": "930/938", "loss": 0.1628, "lr": 0.0658, "mem": 752, "time_avg": 3.6628, "time_diff": 3.4782, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "3/5", "eta": "00,01:54:29", "loss": 0.1303, "lr": 0.0658, "mem": 752, "time_avg": 3.6620, "top1_err": 3.8200, "top5_err": 0.0933}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "10/938", "mem": 752, "time_avg": 0.1022, "time_diff": 0.0585, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "20/938", "mem": 752, "time_avg": 0.0810, "time_diff": 0.0596, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "30/938", "mem": 752, "time_avg": 0.0749, "time_diff": 0.0599, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "40/938", "mem": 752, "time_avg": 0.0719, "time_diff": 0.0603, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "50/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0580, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "60/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0666, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "70/938", "mem": 752, "time_avg": 0.0679, "time_diff": 0.0598, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "80/938", "mem": 752, "time_avg": 0.0669, "time_diff": 0.0609, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "90/938", "mem": 752, "time_avg": 0.0665, "time_diff": 0.0606, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "100/938", "mem": 752, "time_avg": 0.0657, "time_diff": 0.0608, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "110/938", "mem": 752, "time_avg": 0.0652, "time_diff": 0.0577, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "120/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0602, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "130/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0580, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "140/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0633, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "150/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0913, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "160/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0600, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "170/938", "mem": 752, "time_avg": 0.0640, "time_diff": 0.0593, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "180/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0594, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "190/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0621, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "200/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0613, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "210/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0611, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "220/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0630, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "230/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0612, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "240/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0582, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "250/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0601, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "260/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0593, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "270/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0579, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "280/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0605, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "290/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0578, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "300/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0585, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "310/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0607, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "320/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0592, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "330/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0642, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "340/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0621, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "350/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0599, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "360/938", "mem": 752, "time_avg": 0.0625, "time_diff": 0.0598, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "370/938", "mem": 752, "time_avg": 0.0625, "time_diff": 0.0641, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "380/938", "mem": 752, "time_avg": 0.0625, "time_diff": 0.0611, "top1_err": 5.0000, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "390/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0588, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "400/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0640, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "410/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0613, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "420/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0598, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "430/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0602, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "440/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0596, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "450/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0675, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "460/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0915, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "470/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0601, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "480/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0866, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "490/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0638, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "500/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0679, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "510/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0580, "top1_err": 4.0625, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "520/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0622, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "530/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0590, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "540/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0665, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "550/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0596, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "560/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0585, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "570/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0622, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "580/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0686, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "590/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0604, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "600/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0602, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "610/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0601, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "620/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0614, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "630/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0599, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "640/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0599, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "650/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0616, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "660/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0675, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "670/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0601, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "680/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0630, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "690/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0609, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "700/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0626, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "710/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0629, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "720/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0603, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "730/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0778, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "740/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0599, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "750/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0685, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "760/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0594, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "770/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0623, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "780/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0609, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "790/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0621, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "800/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0592, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "810/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0616, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "820/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0606, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "830/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0622, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "840/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0713, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "850/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0687, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "860/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0587, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "870/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0692, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "880/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0584, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "890/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0690, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "900/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0612, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "910/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0591, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "920/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0615, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "930/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0603, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "3/5", "mem": 752, "min_top1_err": 3.3633, "min_top5_err": 0.0600, "top1_err": 3.3633, "top5_err": 0.0600}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:53:53", "iter": "10/938", "loss": 0.0901, "lr": 0.0352, "mem": 752, "time_avg": 3.6622, "time_diff": 3.7878, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:53:26", "iter": "20/938", "loss": 0.0484, "lr": 0.0352, "mem": 752, "time_avg": 3.6672, "time_diff": 7.1017, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:53:02", "iter": "30/938", "loss": 0.1280, "lr": 0.0352, "mem": 752, "time_avg": 3.6742, "time_diff": 4.2449, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:52:27", "iter": "40/938", "loss": 0.0710, "lr": 0.0352, "mem": 752, "time_avg": 3.6752, "time_diff": 3.6071, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:51:53", "iter": "50/938", "loss": 0.1241, "lr": 0.0352, "mem": 752, "time_avg": 3.6766, "time_diff": 4.2806, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:51:20", "iter": "60/938", "loss": 0.1045, "lr": 0.0352, "mem": 752, "time_avg": 3.6788, "time_diff": 4.1369, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:50:47", "iter": "70/938", "loss": 0.0624, "lr": 0.0352, "mem": 752, "time_avg": 3.6806, "time_diff": 4.2870, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:50:10", "iter": "80/938", "loss": 0.0629, "lr": 0.0352, "mem": 752, "time_avg": 3.6809, "time_diff": 3.4368, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:49:34", "iter": "90/938", "loss": 0.1218, "lr": 0.0352, "mem": 752, "time_avg": 3.6812, "time_diff": 4.2634, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:49:00", "iter": "100/938", "loss": 0.1032, "lr": 0.0352, "mem": 752, "time_avg": 3.6828, "time_diff": 4.0499, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:48:24", "iter": "110/938", "loss": 0.1057, "lr": 0.0352, "mem": 752, "time_avg": 3.6831, "time_diff": 3.5739, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:47:46", "iter": "120/938", "loss": 0.1104, "lr": 0.0352, "mem": 752, "time_avg": 3.6828, "time_diff": 3.5801, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:47:09", "iter": "130/938", "loss": 0.0708, "lr": 0.0352, "mem": 752, "time_avg": 3.6823, "time_diff": 3.5569, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:46:31", "iter": "140/938", "loss": 0.0608, "lr": 0.0352, "mem": 752, "time_avg": 3.6817, "time_diff": 3.5683, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:45:53", "iter": "150/938", "loss": 0.0616, "lr": 0.0352, "mem": 752, "time_avg": 3.6813, "time_diff": 3.5959, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:45:16", "iter": "160/938", "loss": 0.0971, "lr": 0.0352, "mem": 752, "time_avg": 3.6809, "time_diff": 3.4660, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:44:38", "iter": "170/938", "loss": 0.0867, "lr": 0.0352, "mem": 752, "time_avg": 3.6804, "time_diff": 3.5067, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:44:01", "iter": "180/938", "loss": 0.0589, "lr": 0.0352, "mem": 752, "time_avg": 3.6799, "time_diff": 3.5130, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:43:23", "iter": "190/938", "loss": 0.0780, "lr": 0.0352, "mem": 752, "time_avg": 3.6795, "time_diff": 3.5411, "top1_err": 1.2500, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:42:45", "iter": "200/938", "loss": 0.0817, "lr": 0.0352, "mem": 752, "time_avg": 3.6790, "time_diff": 3.5647, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:42:08", "iter": "210/938", "loss": 0.1083, "lr": 0.0352, "mem": 752, "time_avg": 3.6785, "time_diff": 3.4651, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:41:30", "iter": "220/938", "loss": 0.0462, "lr": 0.0352, "mem": 752, "time_avg": 3.6781, "time_diff": 3.5533, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:40:53", "iter": "230/938", "loss": 0.1457, "lr": 0.0352, "mem": 752, "time_avg": 3.6776, "time_diff": 3.4893, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:40:15", "iter": "240/938", "loss": 0.0609, "lr": 0.0352, "mem": 752, "time_avg": 3.6772, "time_diff": 3.5296, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:39:38", "iter": "250/938", "loss": 0.0845, "lr": 0.0352, "mem": 752, "time_avg": 3.6768, "time_diff": 3.4426, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:39:00", "iter": "260/938", "loss": 0.0957, "lr": 0.0352, "mem": 752, "time_avg": 3.6763, "time_diff": 3.4664, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:38:23", "iter": "270/938", "loss": 0.0624, "lr": 0.0352, "mem": 752, "time_avg": 3.6758, "time_diff": 3.4605, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:37:46", "iter": "280/938", "loss": 0.0974, "lr": 0.0352, "mem": 752, "time_avg": 3.6755, "time_diff": 3.5000, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:37:08", "iter": "290/938", "loss": 0.0886, "lr": 0.0352, "mem": 752, "time_avg": 3.6750, "time_diff": 3.5530, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:36:31", "iter": "300/938", "loss": 0.0977, "lr": 0.0352, "mem": 752, "time_avg": 3.6746, "time_diff": 3.4885, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:35:53", "iter": "310/938", "loss": 0.1033, "lr": 0.0352, "mem": 752, "time_avg": 3.6740, "time_diff": 3.5522, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:35:15", "iter": "320/938", "loss": 0.1200, "lr": 0.0352, "mem": 752, "time_avg": 3.6735, "time_diff": 3.5412, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:34:38", "iter": "330/938", "loss": 0.0973, "lr": 0.0352, "mem": 752, "time_avg": 3.6731, "time_diff": 3.5282, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:34:01", "iter": "340/938", "loss": 0.0529, "lr": 0.0352, "mem": 752, "time_avg": 3.6726, "time_diff": 3.5453, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:33:23", "iter": "350/938", "loss": 0.1012, "lr": 0.0352, "mem": 752, "time_avg": 3.6721, "time_diff": 3.5008, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:32:46", "iter": "360/938", "loss": 0.0792, "lr": 0.0352, "mem": 752, "time_avg": 3.6717, "time_diff": 3.5694, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:32:08", "iter": "370/938", "loss": 0.0695, "lr": 0.0352, "mem": 752, "time_avg": 3.6713, "time_diff": 3.4468, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:31:31", "iter": "380/938", "loss": 0.0918, "lr": 0.0352, "mem": 752, "time_avg": 3.6709, "time_diff": 3.5691, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:30:54", "iter": "390/938", "loss": 0.0873, "lr": 0.0352, "mem": 752, "time_avg": 3.6705, "time_diff": 3.5517, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:30:17", "iter": "400/938", "loss": 0.1377, "lr": 0.0352, "mem": 752, "time_avg": 3.6702, "time_diff": 3.5584, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:29:39", "iter": "410/938", "loss": 0.1518, "lr": 0.0352, "mem": 752, "time_avg": 3.6697, "time_diff": 3.5681, "top1_err": 4.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:29:02", "iter": "420/938", "loss": 0.0535, "lr": 0.0352, "mem": 752, "time_avg": 3.6693, "time_diff": 3.4674, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:28:25", "iter": "430/938", "loss": 0.0996, "lr": 0.0352, "mem": 752, "time_avg": 3.6688, "time_diff": 3.4489, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:27:47", "iter": "440/938", "loss": 0.0732, "lr": 0.0352, "mem": 752, "time_avg": 3.6685, "time_diff": 3.5604, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:27:10", "iter": "450/938", "loss": 0.1090, "lr": 0.0352, "mem": 752, "time_avg": 3.6680, "time_diff": 3.5507, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:26:33", "iter": "460/938", "loss": 0.0813, "lr": 0.0352, "mem": 752, "time_avg": 3.6676, "time_diff": 3.5490, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:25:56", "iter": "470/938", "loss": 0.0749, "lr": 0.0352, "mem": 752, "time_avg": 3.6672, "time_diff": 3.4954, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:25:18", "iter": "480/938", "loss": 0.0768, "lr": 0.0352, "mem": 752, "time_avg": 3.6668, "time_diff": 3.4892, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:24:41", "iter": "490/938", "loss": 0.0584, "lr": 0.0352, "mem": 752, "time_avg": 3.6664, "time_diff": 3.5926, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:24:04", "iter": "500/938", "loss": 0.0496, "lr": 0.0352, "mem": 752, "time_avg": 3.6660, "time_diff": 3.5645, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:23:27", "iter": "510/938", "loss": 0.0805, "lr": 0.0352, "mem": 752, "time_avg": 3.6655, "time_diff": 3.4304, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:22:49", "iter": "520/938", "loss": 0.0797, "lr": 0.0352, "mem": 752, "time_avg": 3.6652, "time_diff": 3.5107, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:22:12", "iter": "530/938", "loss": 0.0474, "lr": 0.0352, "mem": 752, "time_avg": 3.6648, "time_diff": 3.4885, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:21:35", "iter": "540/938", "loss": 0.0779, "lr": 0.0352, "mem": 752, "time_avg": 3.6644, "time_diff": 3.5816, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:20:58", "iter": "550/938", "loss": 0.0786, "lr": 0.0352, "mem": 752, "time_avg": 3.6640, "time_diff": 3.4943, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:20:21", "iter": "560/938", "loss": 0.0468, "lr": 0.0352, "mem": 752, "time_avg": 3.6636, "time_diff": 3.5191, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:19:44", "iter": "570/938", "loss": 0.0757, "lr": 0.0352, "mem": 752, "time_avg": 3.6631, "time_diff": 3.5259, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:19:06", "iter": "580/938", "loss": 0.0801, "lr": 0.0352, "mem": 752, "time_avg": 3.6628, "time_diff": 3.6180, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:18:29", "iter": "590/938", "loss": 0.0895, "lr": 0.0352, "mem": 752, "time_avg": 3.6624, "time_diff": 3.5411, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:17:52", "iter": "600/938", "loss": 0.0569, "lr": 0.0352, "mem": 752, "time_avg": 3.6621, "time_diff": 3.5789, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:17:15", "iter": "610/938", "loss": 0.1059, "lr": 0.0352, "mem": 752, "time_avg": 3.6617, "time_diff": 3.5182, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:16:38", "iter": "620/938", "loss": 0.0856, "lr": 0.0352, "mem": 752, "time_avg": 3.6614, "time_diff": 3.5496, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:16:01", "iter": "630/938", "loss": 0.0631, "lr": 0.0352, "mem": 752, "time_avg": 3.6610, "time_diff": 3.5315, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:15:24", "iter": "640/938", "loss": 0.0461, "lr": 0.0352, "mem": 752, "time_avg": 3.6606, "time_diff": 3.5252, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:14:47", "iter": "650/938", "loss": 0.0883, "lr": 0.0352, "mem": 752, "time_avg": 3.6602, "time_diff": 3.5316, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:14:10", "iter": "660/938", "loss": 0.0449, "lr": 0.0352, "mem": 752, "time_avg": 3.6598, "time_diff": 3.5116, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:13:33", "iter": "670/938", "loss": 0.0623, "lr": 0.0352, "mem": 752, "time_avg": 3.6595, "time_diff": 3.5696, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:12:56", "iter": "680/938", "loss": 0.0742, "lr": 0.0352, "mem": 752, "time_avg": 3.6590, "time_diff": 3.4362, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:12:19", "iter": "690/938", "loss": 0.0938, "lr": 0.0352, "mem": 752, "time_avg": 3.6587, "time_diff": 3.5616, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:11:42", "iter": "700/938", "loss": 0.0878, "lr": 0.0352, "mem": 752, "time_avg": 3.6582, "time_diff": 3.5980, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:11:05", "iter": "710/938", "loss": 0.1003, "lr": 0.0352, "mem": 752, "time_avg": 3.6579, "time_diff": 3.5369, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:10:27", "iter": "720/938", "loss": 0.0948, "lr": 0.0352, "mem": 752, "time_avg": 3.6574, "time_diff": 3.5691, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:09:50", "iter": "730/938", "loss": 0.0997, "lr": 0.0352, "mem": 752, "time_avg": 3.6570, "time_diff": 3.4842, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:09:13", "iter": "740/938", "loss": 0.1014, "lr": 0.0352, "mem": 752, "time_avg": 3.6567, "time_diff": 3.5707, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:08:36", "iter": "750/938", "loss": 0.1108, "lr": 0.0352, "mem": 752, "time_avg": 3.6563, "time_diff": 3.5047, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:08:00", "iter": "760/938", "loss": 0.0664, "lr": 0.0352, "mem": 752, "time_avg": 3.6559, "time_diff": 3.4651, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:07:23", "iter": "770/938", "loss": 0.0595, "lr": 0.0352, "mem": 752, "time_avg": 3.6556, "time_diff": 3.5641, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:06:46", "iter": "780/938", "loss": 0.1073, "lr": 0.0352, "mem": 752, "time_avg": 3.6552, "time_diff": 3.4767, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:06:09", "iter": "790/938", "loss": 0.0794, "lr": 0.0352, "mem": 752, "time_avg": 3.6548, "time_diff": 3.6269, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:05:32", "iter": "800/938", "loss": 0.1015, "lr": 0.0352, "mem": 752, "time_avg": 3.6544, "time_diff": 3.4882, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:04:55", "iter": "810/938", "loss": 0.0914, "lr": 0.0352, "mem": 752, "time_avg": 3.6541, "time_diff": 3.4946, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:04:18", "iter": "820/938", "loss": 0.0856, "lr": 0.0352, "mem": 752, "time_avg": 3.6538, "time_diff": 3.5438, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:03:41", "iter": "830/938", "loss": 0.0585, "lr": 0.0352, "mem": 752, "time_avg": 3.6534, "time_diff": 3.5401, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:03:04", "iter": "840/938", "loss": 0.1162, "lr": 0.0352, "mem": 752, "time_avg": 3.6531, "time_diff": 3.5354, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:02:27", "iter": "850/938", "loss": 0.0841, "lr": 0.0352, "mem": 752, "time_avg": 3.6528, "time_diff": 3.6175, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:01:50", "iter": "860/938", "loss": 0.0371, "lr": 0.0352, "mem": 752, "time_avg": 3.6523, "time_diff": 3.5560, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:01:13", "iter": "870/938", "loss": 0.0637, "lr": 0.0352, "mem": 752, "time_avg": 3.6520, "time_diff": 3.5715, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:00:37", "iter": "880/938", "loss": 0.0817, "lr": 0.0352, "mem": 752, "time_avg": 3.6517, "time_diff": 3.4903, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:00:00", "iter": "890/938", "loss": 0.1175, "lr": 0.0352, "mem": 752, "time_avg": 3.6514, "time_diff": 3.5543, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:59:23", "iter": "900/938", "loss": 0.0840, "lr": 0.0352, "mem": 752, "time_avg": 3.6511, "time_diff": 3.6261, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:58:46", "iter": "910/938", "loss": 0.1044, "lr": 0.0352, "mem": 752, "time_avg": 3.6508, "time_diff": 3.5326, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:58:09", "iter": "920/938", "loss": 0.1146, "lr": 0.0352, "mem": 752, "time_avg": 3.6504, "time_diff": 3.5090, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:57:32", "iter": "930/938", "loss": 0.0732, "lr": 0.0352, "mem": 752, "time_avg": 3.6500, "time_diff": 3.5334, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "4/5", "eta": "00,00:57:03", "loss": 0.0844, "lr": 0.0352, "mem": 752, "time_avg": 3.6496, "top1_err": 2.5100, "top5_err": 0.0700}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "10/938", "mem": 752, "time_avg": 0.1138, "time_diff": 0.0675, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "20/938", "mem": 752, "time_avg": 0.0888, "time_diff": 0.0586, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "30/938", "mem": 752, "time_avg": 0.0788, "time_diff": 0.0571, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "40/938", "mem": 752, "time_avg": 0.0739, "time_diff": 0.0594, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "50/938", "mem": 752, "time_avg": 0.0713, "time_diff": 0.0564, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "60/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0684, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "70/938", "mem": 752, "time_avg": 0.0686, "time_diff": 0.0665, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "80/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0599, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "90/938", "mem": 752, "time_avg": 0.0675, "time_diff": 0.0610, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "100/938", "mem": 752, "time_avg": 0.0670, "time_diff": 0.0598, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "110/938", "mem": 752, "time_avg": 0.0666, "time_diff": 0.0689, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "120/938", "mem": 752, "time_avg": 0.0663, "time_diff": 0.0591, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "130/938", "mem": 752, "time_avg": 0.0658, "time_diff": 0.0605, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "140/938", "mem": 752, "time_avg": 0.0658, "time_diff": 0.0580, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "150/938", "mem": 752, "time_avg": 0.0655, "time_diff": 0.0595, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "160/938", "mem": 752, "time_avg": 0.0654, "time_diff": 0.0594, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "170/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0570, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "180/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.0596, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "190/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0597, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "200/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0572, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "210/938", "mem": 752, "time_avg": 0.0640, "time_diff": 0.0599, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "220/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0591, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "230/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0598, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "240/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0601, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "250/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0597, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "260/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0601, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "270/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0601, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "280/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0599, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "290/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0663, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "300/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0605, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "310/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0581, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "320/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0604, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "330/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0602, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "340/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0606, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "350/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0580, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "360/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0706, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "370/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0592, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "380/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0602, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "390/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0590, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "400/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0634, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "410/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0590, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "420/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0606, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "430/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0595, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "440/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0593, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "450/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0589, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "460/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0593, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "470/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0646, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "480/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0597, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "490/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0595, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "500/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0684, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "510/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0593, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "520/938", "mem": 752, "time_avg": 0.0625, "time_diff": 0.0574, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "530/938", "mem": 752, "time_avg": 0.0625, "time_diff": 0.0629, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "540/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0775, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "550/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0704, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "560/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0694, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "570/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0707, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "580/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0597, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "590/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0697, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "600/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0598, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "610/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0595, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "620/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0604, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "630/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0571, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "640/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0596, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "650/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0593, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "660/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0589, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "670/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0592, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "680/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0604, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "690/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0692, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "700/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0605, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "710/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0659, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "720/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0629, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "730/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0676, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "740/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0751, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "750/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0664, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "760/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0590, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "770/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0718, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "780/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0605, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "790/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0667, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "800/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0587, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "810/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0588, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "820/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0616, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "830/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0577, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "840/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0617, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "850/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0618, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "860/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0603, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "870/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0596, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "880/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0615, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "890/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0589, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "900/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0589, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "910/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0656, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "920/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0575, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "930/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0573, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "4/5", "mem": 752, "min_top1_err": 2.2367, "min_top5_err": 0.0233, "top1_err": 2.2367, "top5_err": 0.0233}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:56:26", "iter": "10/938", "loss": 0.0874, "lr": 0.0105, "mem": 752, "time_avg": 3.6496, "time_diff": 3.8354, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:55:55", "iter": "20/938", "loss": 0.0891, "lr": 0.0105, "mem": 752, "time_avg": 3.6556, "time_diff": 5.9700, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:55:19", "iter": "30/938", "loss": 0.1091, "lr": 0.0105, "mem": 752, "time_avg": 3.6560, "time_diff": 3.5325, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:54:42", "iter": "40/938", "loss": 0.0643, "lr": 0.0105, "mem": 752, "time_avg": 3.6557, "time_diff": 3.5104, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:54:06", "iter": "50/938", "loss": 0.0803, "lr": 0.0105, "mem": 752, "time_avg": 3.6556, "time_diff": 4.1028, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:53:30", "iter": "60/938", "loss": 0.0554, "lr": 0.0105, "mem": 752, "time_avg": 3.6569, "time_diff": 4.0941, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:52:54", "iter": "70/938", "loss": 0.0929, "lr": 0.0105, "mem": 752, "time_avg": 3.6574, "time_diff": 3.5169, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:52:18", "iter": "80/938", "loss": 0.0809, "lr": 0.0105, "mem": 752, "time_avg": 3.6584, "time_diff": 4.0102, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:51:43", "iter": "90/938", "loss": 0.0647, "lr": 0.0105, "mem": 752, "time_avg": 3.6602, "time_diff": 4.1928, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:51:08", "iter": "100/938", "loss": 0.0273, "lr": 0.0105, "mem": 752, "time_avg": 3.6617, "time_diff": 4.2796, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:50:31", "iter": "110/938", "loss": 0.0495, "lr": 0.0105, "mem": 752, "time_avg": 3.6616, "time_diff": 3.4793, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:49:55", "iter": "120/938", "loss": 0.0367, "lr": 0.0105, "mem": 752, "time_avg": 3.6615, "time_diff": 4.3365, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:49:19", "iter": "130/938", "loss": 0.0924, "lr": 0.0105, "mem": 752, "time_avg": 3.6627, "time_diff": 4.2501, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:48:43", "iter": "140/938", "loss": 0.0579, "lr": 0.0105, "mem": 752, "time_avg": 3.6634, "time_diff": 3.5219, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:48:06", "iter": "150/938", "loss": 0.0586, "lr": 0.0105, "mem": 752, "time_avg": 3.6630, "time_diff": 3.5147, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:47:29", "iter": "160/938", "loss": 0.0773, "lr": 0.0105, "mem": 752, "time_avg": 3.6626, "time_diff": 3.5332, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:46:52", "iter": "170/938", "loss": 0.0842, "lr": 0.0105, "mem": 752, "time_avg": 3.6622, "time_diff": 3.5650, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:46:15", "iter": "180/938", "loss": 0.0703, "lr": 0.0105, "mem": 752, "time_avg": 3.6619, "time_diff": 3.6094, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:45:38", "iter": "190/938", "loss": 0.0693, "lr": 0.0105, "mem": 752, "time_avg": 3.6615, "time_diff": 3.3989, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:45:01", "iter": "200/938", "loss": 0.0547, "lr": 0.0105, "mem": 752, "time_avg": 3.6612, "time_diff": 3.5207, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:44:25", "iter": "210/938", "loss": 0.0929, "lr": 0.0105, "mem": 752, "time_avg": 3.6608, "time_diff": 3.5944, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:43:48", "iter": "220/938", "loss": 0.0463, "lr": 0.0105, "mem": 752, "time_avg": 3.6605, "time_diff": 3.4301, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:43:11", "iter": "230/938", "loss": 0.0546, "lr": 0.0105, "mem": 752, "time_avg": 3.6601, "time_diff": 3.5723, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:42:34", "iter": "240/938", "loss": 0.0602, "lr": 0.0105, "mem": 752, "time_avg": 3.6598, "time_diff": 3.4935, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:41:57", "iter": "250/938", "loss": 0.0448, "lr": 0.0105, "mem": 752, "time_avg": 3.6593, "time_diff": 3.5848, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:41:20", "iter": "260/938", "loss": 0.0401, "lr": 0.0105, "mem": 752, "time_avg": 3.6590, "time_diff": 3.4877, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:40:43", "iter": "270/938", "loss": 0.0456, "lr": 0.0105, "mem": 752, "time_avg": 3.6587, "time_diff": 3.5539, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:40:07", "iter": "280/938", "loss": 0.0563, "lr": 0.0105, "mem": 752, "time_avg": 3.6583, "time_diff": 3.5288, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:39:30", "iter": "290/938", "loss": 0.0441, "lr": 0.0105, "mem": 752, "time_avg": 3.6581, "time_diff": 3.5066, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:38:53", "iter": "300/938", "loss": 0.0437, "lr": 0.0105, "mem": 752, "time_avg": 3.6578, "time_diff": 3.5838, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:38:16", "iter": "310/938", "loss": 0.0397, "lr": 0.0105, "mem": 752, "time_avg": 3.6575, "time_diff": 3.6084, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:37:40", "iter": "320/938", "loss": 0.0498, "lr": 0.0105, "mem": 752, "time_avg": 3.6572, "time_diff": 3.5980, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:37:03", "iter": "330/938", "loss": 0.0628, "lr": 0.0105, "mem": 752, "time_avg": 3.6569, "time_diff": 3.5222, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:36:26", "iter": "340/938", "loss": 0.0838, "lr": 0.0105, "mem": 752, "time_avg": 3.6565, "time_diff": 3.4955, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:35:49", "iter": "350/938", "loss": 0.0865, "lr": 0.0105, "mem": 752, "time_avg": 3.6562, "time_diff": 3.5320, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:35:13", "iter": "360/938", "loss": 0.0495, "lr": 0.0105, "mem": 752, "time_avg": 3.6559, "time_diff": 3.5989, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:34:36", "iter": "370/938", "loss": 0.0491, "lr": 0.0105, "mem": 752, "time_avg": 3.6557, "time_diff": 3.6161, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:33:59", "iter": "380/938", "loss": 0.0730, "lr": 0.0105, "mem": 752, "time_avg": 3.6554, "time_diff": 3.5602, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:33:22", "iter": "390/938", "loss": 0.0429, "lr": 0.0105, "mem": 752, "time_avg": 3.6551, "time_diff": 3.5626, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:32:46", "iter": "400/938", "loss": 0.0485, "lr": 0.0105, "mem": 752, "time_avg": 3.6549, "time_diff": 3.6472, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:32:09", "iter": "410/938", "loss": 0.0394, "lr": 0.0105, "mem": 752, "time_avg": 3.6547, "time_diff": 3.5857, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:31:32", "iter": "420/938", "loss": 0.0519, "lr": 0.0105, "mem": 752, "time_avg": 3.6544, "time_diff": 3.5864, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:30:56", "iter": "430/938", "loss": 0.0305, "lr": 0.0105, "mem": 752, "time_avg": 3.6541, "time_diff": 3.5415, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:30:19", "iter": "440/938", "loss": 0.0571, "lr": 0.0105, "mem": 752, "time_avg": 3.6538, "time_diff": 3.5471, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:29:42", "iter": "450/938", "loss": 0.0391, "lr": 0.0105, "mem": 752, "time_avg": 3.6536, "time_diff": 3.5401, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:29:06", "iter": "460/938", "loss": 0.0630, "lr": 0.0105, "mem": 752, "time_avg": 3.6531, "time_diff": 3.4983, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:28:29", "iter": "470/938", "loss": 0.0535, "lr": 0.0105, "mem": 752, "time_avg": 3.6528, "time_diff": 3.5662, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:27:52", "iter": "480/938", "loss": 0.0412, "lr": 0.0105, "mem": 752, "time_avg": 3.6525, "time_diff": 3.5004, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:27:16", "iter": "490/938", "loss": 0.0467, "lr": 0.0105, "mem": 752, "time_avg": 3.6522, "time_diff": 3.5439, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:26:39", "iter": "500/938", "loss": 0.0413, "lr": 0.0105, "mem": 752, "time_avg": 3.6520, "time_diff": 3.6312, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:26:02", "iter": "510/938", "loss": 0.0586, "lr": 0.0105, "mem": 752, "time_avg": 3.6516, "time_diff": 3.4223, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:25:26", "iter": "520/938", "loss": 0.0730, "lr": 0.0105, "mem": 752, "time_avg": 3.6513, "time_diff": 3.5077, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:24:49", "iter": "530/938", "loss": 0.0585, "lr": 0.0105, "mem": 752, "time_avg": 3.6509, "time_diff": 3.5054, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:24:12", "iter": "540/938", "loss": 0.0753, "lr": 0.0105, "mem": 752, "time_avg": 3.6507, "time_diff": 3.4878, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:23:36", "iter": "550/938", "loss": 0.0713, "lr": 0.0105, "mem": 752, "time_avg": 3.6504, "time_diff": 3.5205, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:22:59", "iter": "560/938", "loss": 0.0593, "lr": 0.0105, "mem": 752, "time_avg": 3.6500, "time_diff": 3.6114, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:22:23", "iter": "570/938", "loss": 0.0691, "lr": 0.0105, "mem": 752, "time_avg": 3.6498, "time_diff": 3.4850, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:21:46", "iter": "580/938", "loss": 0.0604, "lr": 0.0105, "mem": 752, "time_avg": 3.6495, "time_diff": 3.4553, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:21:09", "iter": "590/938", "loss": 0.0662, "lr": 0.0105, "mem": 752, "time_avg": 3.6492, "time_diff": 3.5133, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:20:33", "iter": "600/938", "loss": 0.0445, "lr": 0.0105, "mem": 752, "time_avg": 3.6489, "time_diff": 3.4837, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:19:56", "iter": "610/938", "loss": 0.0493, "lr": 0.0105, "mem": 752, "time_avg": 3.6486, "time_diff": 3.5461, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:19:20", "iter": "620/938", "loss": 0.0556, "lr": 0.0105, "mem": 752, "time_avg": 3.6483, "time_diff": 3.5324, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:18:43", "iter": "630/938", "loss": 0.0646, "lr": 0.0105, "mem": 752, "time_avg": 3.6481, "time_diff": 3.4292, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:18:07", "iter": "640/938", "loss": 0.0337, "lr": 0.0105, "mem": 752, "time_avg": 3.6477, "time_diff": 3.4652, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:17:30", "iter": "650/938", "loss": 0.0455, "lr": 0.0105, "mem": 752, "time_avg": 3.6475, "time_diff": 3.5684, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:16:53", "iter": "660/938", "loss": 0.0578, "lr": 0.0105, "mem": 752, "time_avg": 3.6473, "time_diff": 3.4523, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:16:17", "iter": "670/938", "loss": 0.0418, "lr": 0.0105, "mem": 752, "time_avg": 3.6470, "time_diff": 3.4990, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:15:40", "iter": "680/938", "loss": 0.0395, "lr": 0.0105, "mem": 752, "time_avg": 3.6466, "time_diff": 3.4375, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:15:04", "iter": "690/938", "loss": 0.0322, "lr": 0.0105, "mem": 752, "time_avg": 3.6464, "time_diff": 3.4529, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:14:27", "iter": "700/938", "loss": 0.0448, "lr": 0.0105, "mem": 752, "time_avg": 3.6461, "time_diff": 3.4321, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:13:51", "iter": "710/938", "loss": 0.0379, "lr": 0.0105, "mem": 752, "time_avg": 3.6458, "time_diff": 3.5630, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:13:14", "iter": "720/938", "loss": 0.0352, "lr": 0.0105, "mem": 752, "time_avg": 3.6456, "time_diff": 3.5154, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:12:38", "iter": "730/938", "loss": 0.0305, "lr": 0.0105, "mem": 752, "time_avg": 3.6453, "time_diff": 3.4764, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:12:01", "iter": "740/938", "loss": 0.0593, "lr": 0.0105, "mem": 752, "time_avg": 3.6451, "time_diff": 3.5417, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:11:25", "iter": "750/938", "loss": 0.0531, "lr": 0.0105, "mem": 752, "time_avg": 3.6450, "time_diff": 3.5295, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:10:48", "iter": "760/938", "loss": 0.0358, "lr": 0.0105, "mem": 752, "time_avg": 3.6447, "time_diff": 3.5572, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:10:12", "iter": "770/938", "loss": 0.0751, "lr": 0.0105, "mem": 752, "time_avg": 3.6444, "time_diff": 3.5007, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:09:35", "iter": "780/938", "loss": 0.0416, "lr": 0.0105, "mem": 752, "time_avg": 3.6441, "time_diff": 3.4951, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:08:59", "iter": "790/938", "loss": 0.0618, "lr": 0.0105, "mem": 752, "time_avg": 3.6439, "time_diff": 3.5592, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:08:22", "iter": "800/938", "loss": 0.0512, "lr": 0.0105, "mem": 752, "time_avg": 3.6436, "time_diff": 3.5615, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:07:46", "iter": "810/938", "loss": 0.0726, "lr": 0.0105, "mem": 752, "time_avg": 3.6434, "time_diff": 3.4915, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:07:09", "iter": "820/938", "loss": 0.0478, "lr": 0.0105, "mem": 752, "time_avg": 3.6432, "time_diff": 3.5637, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:06:33", "iter": "830/938", "loss": 0.0424, "lr": 0.0105, "mem": 752, "time_avg": 3.6429, "time_diff": 3.4461, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:05:56", "iter": "840/938", "loss": 0.0710, "lr": 0.0105, "mem": 752, "time_avg": 3.6427, "time_diff": 3.5438, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:05:20", "iter": "850/938", "loss": 0.0413, "lr": 0.0105, "mem": 752, "time_avg": 3.6424, "time_diff": 3.4342, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:04:44", "iter": "860/938", "loss": 0.0631, "lr": 0.0105, "mem": 752, "time_avg": 3.6421, "time_diff": 3.4353, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:04:07", "iter": "870/938", "loss": 0.0384, "lr": 0.0105, "mem": 752, "time_avg": 3.6419, "time_diff": 3.5159, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:03:31", "iter": "880/938", "loss": 0.0360, "lr": 0.0105, "mem": 752, "time_avg": 3.6416, "time_diff": 3.4851, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:02:54", "iter": "890/938", "loss": 0.0439, "lr": 0.0105, "mem": 752, "time_avg": 3.6414, "time_diff": 3.5814, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:02:18", "iter": "900/938", "loss": 0.0410, "lr": 0.0105, "mem": 752, "time_avg": 3.6413, "time_diff": 3.4726, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:01:41", "iter": "910/938", "loss": 0.0567, "lr": 0.0105, "mem": 752, "time_avg": 3.6410, "time_diff": 3.6147, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:01:05", "iter": "920/938", "loss": 0.0424, "lr": 0.0105, "mem": 752, "time_avg": 3.6409, "time_diff": 3.5370, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:00:29", "iter": "930/938", "loss": 0.0593, "lr": 0.0105, "mem": 752, "time_avg": 3.6406, "time_diff": 3.5280, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "5/5", "eta": "00,00:00:00", "loss": 0.0562, "lr": 0.0105, "mem": 752, "time_avg": 3.6402, "top1_err": 1.6867, "top5_err": 0.0167}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "10/938", "mem": 752, "time_avg": 0.0972, "time_diff": 0.0601, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "20/938", "mem": 752, "time_avg": 0.0779, "time_diff": 0.0585, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "30/938", "mem": 752, "time_avg": 0.0712, "time_diff": 0.0573, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "40/938", "mem": 752, "time_avg": 0.0680, "time_diff": 0.0610, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "50/938", "mem": 752, "time_avg": 0.0668, "time_diff": 0.0604, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "60/938", "mem": 752, "time_avg": 0.0656, "time_diff": 0.0556, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "70/938", "mem": 752, "time_avg": 0.0651, "time_diff": 0.0664, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "80/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0601, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "90/938", "mem": 752, "time_avg": 0.0643, "time_diff": 0.0602, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "100/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0601, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "110/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0570, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "120/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0594, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "130/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0575, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "140/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0575, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "150/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0571, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "160/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0576, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "170/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0578, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "180/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0625, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "190/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0590, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "200/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0624, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "210/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0590, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "220/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0583, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "230/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0598, "top1_err": 0.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "240/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0572, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "250/938", "mem": 752, "time_avg": 0.0617, "time_diff": 0.0606, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "260/938", "mem": 752, "time_avg": 0.0616, "time_diff": 0.0582, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "270/938", "mem": 752, "time_avg": 0.0616, "time_diff": 0.0576, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "280/938", "mem": 752, "time_avg": 0.0615, "time_diff": 0.0577, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "290/938", "mem": 752, "time_avg": 0.0615, "time_diff": 0.0617, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "300/938", "mem": 752, "time_avg": 0.0614, "time_diff": 0.0572, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "310/938", "mem": 752, "time_avg": 0.0614, "time_diff": 0.0608, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "320/938", "mem": 752, "time_avg": 0.0614, "time_diff": 0.0598, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "330/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0571, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "340/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0585, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "350/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0568, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "360/938", "mem": 752, "time_avg": 0.0612, "time_diff": 0.0664, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "370/938", "mem": 752, "time_avg": 0.0612, "time_diff": 0.0598, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "380/938", "mem": 752, "time_avg": 0.0612, "time_diff": 0.0576, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "390/938", "mem": 752, "time_avg": 0.0612, "time_diff": 0.0617, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "400/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0753, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "410/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0608, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "420/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0579, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "430/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0572, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "440/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0716, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "450/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0579, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "460/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0587, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "470/938", "mem": 752, "time_avg": 0.0613, "time_diff": 0.0571, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "480/938", "mem": 752, "time_avg": 0.0612, "time_diff": 0.0566, "top1_err": 0.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "490/938", "mem": 752, "time_avg": 0.0611, "time_diff": 0.0585, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "500/938", "mem": 752, "time_avg": 0.0611, "time_diff": 0.0578, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "510/938", "mem": 752, "time_avg": 0.0611, "time_diff": 0.0593, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "520/938", "mem": 752, "time_avg": 0.0611, "time_diff": 0.0594, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "530/938", "mem": 752, "time_avg": 0.0611, "time_diff": 0.0598, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "540/938", "mem": 752, "time_avg": 0.0610, "time_diff": 0.0590, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "550/938", "mem": 752, "time_avg": 0.0610, "time_diff": 0.0608, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "560/938", "mem": 752, "time_avg": 0.0610, "time_diff": 0.0600, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "570/938", "mem": 752, "time_avg": 0.0610, "time_diff": 0.0574, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "580/938", "mem": 752, "time_avg": 0.0610, "time_diff": 0.0604, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "590/938", "mem": 752, "time_avg": 0.0610, "time_diff": 0.0646, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "600/938", "mem": 752, "time_avg": 0.0609, "time_diff": 0.0563, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "610/938", "mem": 752, "time_avg": 0.0609, "time_diff": 0.0582, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "620/938", "mem": 752, "time_avg": 0.0609, "time_diff": 0.0569, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "630/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0566, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "640/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0598, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "650/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0589, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "660/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0630, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "670/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0641, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "680/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0600, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "690/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0669, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "700/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0578, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "710/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0596, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "720/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0599, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "730/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0647, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "740/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0586, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "750/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0588, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "760/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0595, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "770/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0650, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "780/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0602, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "790/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0578, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "800/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0574, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "810/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0661, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "820/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0573, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "830/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0612, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "840/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0622, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "850/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0599, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "860/938", "mem": 752, "time_avg": 0.0608, "time_diff": 0.0569, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "870/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0602, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "880/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0558, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "890/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0602, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "900/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0594, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "910/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0591, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "920/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0610, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "930/938", "mem": 752, "time_avg": 0.0607, "time_diff": 0.0554, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "5/5", "mem": 752, "min_top1_err": 1.4133, "min_top5_err": 0.0167, "top1_err": 1.4133, "top5_err": 0.0167}
-
- Training procedure completed for SPOS.
- Final Accuracy = 63.1
|