|
- [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/seed22
- RNG_SEED: 1
- 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/seed22", "RNG_SEED": 1, "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": "00,01:07:18", "iter": "10/938", "loss": 2.1245, "lr": 0.1000, "mem": 752, "time_avg": 0.8630, "time_diff": 0.7407, "top1_err": 76.8750, "top5_err": 34.3750}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:01", "iter": "20/938", "loss": 1.6219, "lr": 0.1000, "mem": 752, "time_avg": 0.8098, "time_diff": 0.7515, "top1_err": 58.4375, "top5_err": 11.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:23", "iter": "30/938", "loss": 1.3525, "lr": 0.1000, "mem": 752, "time_avg": 0.8162, "time_diff": 0.8798, "top1_err": 47.1875, "top5_err": 8.7500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:04:01", "iter": "40/938", "loss": 1.1240, "lr": 0.1000, "mem": 752, "time_avg": 0.8262, "time_diff": 0.7277, "top1_err": 40.0000, "top5_err": 3.7500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:19", "iter": "50/938", "loss": 1.1544, "lr": 0.1000, "mem": 752, "time_avg": 0.8188, "time_diff": 0.7261, "top1_err": 41.8750, "top5_err": 4.0625}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:23", "iter": "60/938", "loss": 0.8914, "lr": 0.1000, "mem": 752, "time_avg": 0.8214, "time_diff": 0.8201, "top1_err": 29.6875, "top5_err": 1.5625}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:49", "iter": "70/938", "loss": 0.8417, "lr": 0.1000, "mem": 752, "time_avg": 0.8289, "time_diff": 0.8466, "top1_err": 27.8125, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:04:38", "iter": "80/938", "loss": 0.8254, "lr": 0.1000, "mem": 752, "time_avg": 0.8413, "time_diff": 0.9018, "top1_err": 27.5000, "top5_err": 2.5000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:58", "iter": "90/938", "loss": 0.6984, "lr": 0.1000, "mem": 752, "time_avg": 0.8344, "time_diff": 0.7548, "top1_err": 23.7500, "top5_err": 1.8750}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:10", "iter": "100/938", "loss": 0.6876, "lr": 0.1000, "mem": 752, "time_avg": 0.8258, "time_diff": 0.7352, "top1_err": 21.5625, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:02:27", "iter": "110/938", "loss": 0.8717, "lr": 0.1000, "mem": 752, "time_avg": 0.8183, "time_diff": 0.7547, "top1_err": 26.2500, "top5_err": 1.5625}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:01:51", "iter": "120/938", "loss": 0.7417, "lr": 0.1000, "mem": 752, "time_avg": 0.8122, "time_diff": 0.7364, "top1_err": 22.5000, "top5_err": 2.1875}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:01:20", "iter": "130/938", "loss": 0.5836, "lr": 0.1000, "mem": 752, "time_avg": 0.8071, "time_diff": 0.7565, "top1_err": 18.1250, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:00:51", "iter": "140/938", "loss": 0.6014, "lr": 0.1000, "mem": 752, "time_avg": 0.8024, "time_diff": 0.7322, "top1_err": 19.3750, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:00:24", "iter": "150/938", "loss": 0.5407, "lr": 0.1000, "mem": 752, "time_avg": 0.7983, "time_diff": 0.7333, "top1_err": 16.2500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:59:59", "iter": "160/938", "loss": 0.5953, "lr": 0.1000, "mem": 752, "time_avg": 0.7946, "time_diff": 0.7368, "top1_err": 19.3750, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:59:37", "iter": "170/938", "loss": 0.6855, "lr": 0.1000, "mem": 752, "time_avg": 0.7915, "time_diff": 0.7480, "top1_err": 22.1875, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:59:17", "iter": "180/938", "loss": 0.6095, "lr": 0.1000, "mem": 752, "time_avg": 0.7888, "time_diff": 0.7403, "top1_err": 19.3750, "top5_err": 1.5625}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:58:57", "iter": "190/938", "loss": 0.4923, "lr": 0.1000, "mem": 752, "time_avg": 0.7861, "time_diff": 0.7336, "top1_err": 15.0000, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:58:40", "iter": "200/938", "loss": 0.4621, "lr": 0.1000, "mem": 752, "time_avg": 0.7840, "time_diff": 0.7520, "top1_err": 14.0625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:58:23", "iter": "210/938", "loss": 0.4869, "lr": 0.1000, "mem": 752, "time_avg": 0.7820, "time_diff": 0.7395, "top1_err": 14.6875, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:58:06", "iter": "220/938", "loss": 0.5124, "lr": 0.1000, "mem": 752, "time_avg": 0.7800, "time_diff": 0.7354, "top1_err": 16.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:57:51", "iter": "230/938", "loss": 0.4607, "lr": 0.1000, "mem": 752, "time_avg": 0.7784, "time_diff": 0.7355, "top1_err": 13.1250, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:57:37", "iter": "240/938", "loss": 0.3697, "lr": 0.1000, "mem": 752, "time_avg": 0.7769, "time_diff": 0.7330, "top1_err": 10.0000, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:57:23", "iter": "250/938", "loss": 0.4297, "lr": 0.1000, "mem": 752, "time_avg": 0.7755, "time_diff": 0.7358, "top1_err": 12.1875, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:57:11", "iter": "260/938", "loss": 0.3168, "lr": 0.1000, "mem": 752, "time_avg": 0.7745, "time_diff": 0.7361, "top1_err": 10.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:56:58", "iter": "270/938", "loss": 0.3117, "lr": 0.1000, "mem": 752, "time_avg": 0.7734, "time_diff": 0.7512, "top1_err": 9.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:56:45", "iter": "280/938", "loss": 0.3295, "lr": 0.1000, "mem": 752, "time_avg": 0.7722, "time_diff": 0.7565, "top1_err": 10.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:56:33", "iter": "290/938", "loss": 0.4053, "lr": 0.1000, "mem": 752, "time_avg": 0.7712, "time_diff": 0.7488, "top1_err": 11.5625, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:56:24", "iter": "300/938", "loss": 0.3583, "lr": 0.1000, "mem": 752, "time_avg": 0.7709, "time_diff": 0.7763, "top1_err": 10.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:56:44", "iter": "310/938", "loss": 0.4483, "lr": 0.1000, "mem": 752, "time_avg": 0.7774, "time_diff": 1.0751, "top1_err": 12.8125, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:57:19", "iter": "320/938", "loss": 0.4155, "lr": 0.1000, "mem": 752, "time_avg": 0.7871, "time_diff": 1.0979, "top1_err": 14.0625, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:57:53", "iter": "330/938", "loss": 0.3933, "lr": 0.1000, "mem": 752, "time_avg": 0.7968, "time_diff": 1.0931, "top1_err": 13.4375, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:58:24", "iter": "340/938", "loss": 0.3821, "lr": 0.1000, "mem": 752, "time_avg": 0.8057, "time_diff": 1.0890, "top1_err": 12.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:58:53", "iter": "350/938", "loss": 0.3313, "lr": 0.1000, "mem": 752, "time_avg": 0.8141, "time_diff": 1.0983, "top1_err": 10.3125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:59:20", "iter": "360/938", "loss": 0.3062, "lr": 0.1000, "mem": 752, "time_avg": 0.8223, "time_diff": 1.1254, "top1_err": 9.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,00:59:45", "iter": "370/938", "loss": 0.3091, "lr": 0.1000, "mem": 752, "time_avg": 0.8299, "time_diff": 1.1031, "top1_err": 9.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:00:06", "iter": "380/938", "loss": 0.3389, "lr": 0.1000, "mem": 752, "time_avg": 0.8369, "time_diff": 1.0768, "top1_err": 10.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:00:28", "iter": "390/938", "loss": 0.2736, "lr": 0.1000, "mem": 752, "time_avg": 0.8438, "time_diff": 1.1102, "top1_err": 9.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:00:48", "iter": "400/938", "loss": 0.3928, "lr": 0.1000, "mem": 752, "time_avg": 0.8504, "time_diff": 1.0922, "top1_err": 10.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:01:07", "iter": "410/938", "loss": 0.3690, "lr": 0.1000, "mem": 752, "time_avg": 0.8568, "time_diff": 1.1219, "top1_err": 11.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:01:23", "iter": "420/938", "loss": 0.3976, "lr": 0.1000, "mem": 752, "time_avg": 0.8628, "time_diff": 1.1066, "top1_err": 12.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:01:39", "iter": "430/938", "loss": 0.2888, "lr": 0.1000, "mem": 752, "time_avg": 0.8684, "time_diff": 1.1045, "top1_err": 8.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:01:53", "iter": "440/938", "loss": 0.3776, "lr": 0.1000, "mem": 752, "time_avg": 0.8739, "time_diff": 1.1088, "top1_err": 12.1875, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:02:12", "iter": "450/938", "loss": 0.3381, "lr": 0.1000, "mem": 752, "time_avg": 0.8803, "time_diff": 1.5535, "top1_err": 11.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:03:11", "iter": "460/938", "loss": 0.4087, "lr": 0.1000, "mem": 752, "time_avg": 0.8964, "time_diff": 1.6463, "top1_err": 14.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:04:47", "iter": "470/938", "loss": 0.2414, "lr": 0.1000, "mem": 752, "time_avg": 0.9212, "time_diff": 2.1661, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:06:23", "iter": "480/938", "loss": 0.3683, "lr": 0.1000, "mem": 752, "time_avg": 0.9461, "time_diff": 2.1528, "top1_err": 10.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:08:17", "iter": "490/938", "loss": 0.3102, "lr": 0.1000, "mem": 752, "time_avg": 0.9755, "time_diff": 2.6578, "top1_err": 8.7500, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:11:05", "iter": "500/938", "loss": 0.3892, "lr": 0.1000, "mem": 752, "time_avg": 1.0181, "time_diff": 3.6978, "top1_err": 11.8750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:14:35", "iter": "510/938", "loss": 0.2594, "lr": 0.1000, "mem": 752, "time_avg": 1.0707, "time_diff": 3.7097, "top1_err": 5.9375, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:17:55", "iter": "520/938", "loss": 0.3442, "lr": 0.1000, "mem": 752, "time_avg": 1.1212, "time_diff": 3.7158, "top1_err": 8.4375, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:21:06", "iter": "530/938", "loss": 0.2494, "lr": 0.1000, "mem": 752, "time_avg": 1.1698, "time_diff": 3.7025, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:24:09", "iter": "540/938", "loss": 0.2388, "lr": 0.1000, "mem": 752, "time_avg": 1.2167, "time_diff": 3.6139, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:26:58", "iter": "550/938", "loss": 0.2092, "lr": 0.1000, "mem": 752, "time_avg": 1.2605, "time_diff": 3.6439, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:29:43", "iter": "560/938", "loss": 0.1798, "lr": 0.1000, "mem": 752, "time_avg": 1.3035, "time_diff": 3.7067, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:32:27", "iter": "570/938", "loss": 0.3021, "lr": 0.1000, "mem": 752, "time_avg": 1.3464, "time_diff": 3.7193, "top1_err": 9.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:34:58", "iter": "580/938", "loss": 0.2865, "lr": 0.1000, "mem": 752, "time_avg": 1.3864, "time_diff": 3.7028, "top1_err": 9.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:37:21", "iter": "590/938", "loss": 0.3119, "lr": 0.1000, "mem": 752, "time_avg": 1.4248, "time_diff": 3.6574, "top1_err": 9.0625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:39:44", "iter": "600/938", "loss": 0.2260, "lr": 0.1000, "mem": 752, "time_avg": 1.4632, "time_diff": 3.7918, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:41:59", "iter": "610/938", "loss": 0.1593, "lr": 0.1000, "mem": 752, "time_avg": 1.5000, "time_diff": 3.6953, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:44:08", "iter": "620/938", "loss": 0.2017, "lr": 0.1000, "mem": 752, "time_avg": 1.5353, "time_diff": 3.7096, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:46:13", "iter": "630/938", "loss": 0.2667, "lr": 0.1000, "mem": 752, "time_avg": 1.5699, "time_diff": 3.6328, "top1_err": 8.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:48:09", "iter": "640/938", "loss": 0.2366, "lr": 0.1000, "mem": 752, "time_avg": 1.6024, "time_diff": 3.6873, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:50:01", "iter": "650/938", "loss": 0.1948, "lr": 0.1000, "mem": 752, "time_avg": 1.6340, "time_diff": 3.6382, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:51:48", "iter": "660/938", "loss": 0.3133, "lr": 0.1000, "mem": 752, "time_avg": 1.6645, "time_diff": 3.7305, "top1_err": 8.4375, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:53:30", "iter": "670/938", "loss": 0.1738, "lr": 0.1000, "mem": 752, "time_avg": 1.6942, "time_diff": 3.5413, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:55:11", "iter": "680/938", "loss": 0.3327, "lr": 0.1000, "mem": 752, "time_avg": 1.7236, "time_diff": 3.6910, "top1_err": 10.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:56:46", "iter": "690/938", "loss": 0.2918, "lr": 0.1000, "mem": 752, "time_avg": 1.7516, "time_diff": 3.5893, "top1_err": 8.4375, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:58:16", "iter": "700/938", "loss": 0.3309, "lr": 0.1000, "mem": 752, "time_avg": 1.7785, "time_diff": 3.5811, "top1_err": 11.8750, "top5_err": 0.9375}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,01:59:45", "iter": "710/938", "loss": 0.1795, "lr": 0.1000, "mem": 752, "time_avg": 1.8055, "time_diff": 3.7177, "top1_err": 4.6875, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:01:11", "iter": "720/938", "loss": 0.3310, "lr": 0.1000, "mem": 752, "time_avg": 1.8315, "time_diff": 3.6646, "top1_err": 8.4375, "top5_err": 1.2500}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:02:32", "iter": "730/938", "loss": 0.3649, "lr": 0.1000, "mem": 752, "time_avg": 1.8568, "time_diff": 3.6613, "top1_err": 9.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:03:54", "iter": "740/938", "loss": 0.1998, "lr": 0.1000, "mem": 752, "time_avg": 1.8821, "time_diff": 3.7240, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:05:11", "iter": "750/938", "loss": 0.2301, "lr": 0.1000, "mem": 752, "time_avg": 1.9064, "time_diff": 3.7499, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:06:25", "iter": "760/938", "loss": 0.2404, "lr": 0.1000, "mem": 752, "time_avg": 1.9301, "time_diff": 3.6920, "top1_err": 8.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:07:34", "iter": "770/938", "loss": 0.2470, "lr": 0.1000, "mem": 752, "time_avg": 1.9526, "time_diff": 3.6068, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:08:42", "iter": "780/938", "loss": 0.2940, "lr": 0.1000, "mem": 752, "time_avg": 1.9750, "time_diff": 3.7450, "top1_err": 7.5000, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:09:47", "iter": "790/938", "loss": 0.2285, "lr": 0.1000, "mem": 752, "time_avg": 1.9969, "time_diff": 3.5075, "top1_err": 6.2500, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:10:50", "iter": "800/938", "loss": 0.2213, "lr": 0.1000, "mem": 752, "time_avg": 2.0180, "time_diff": 3.7371, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:11:50", "iter": "810/938", "loss": 0.2057, "lr": 0.1000, "mem": 752, "time_avg": 2.0389, "time_diff": 3.7939, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:12:50", "iter": "820/938", "loss": 0.1850, "lr": 0.1000, "mem": 752, "time_avg": 2.0595, "time_diff": 3.6646, "top1_err": 4.3750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:13:47", "iter": "830/938", "loss": 0.1522, "lr": 0.1000, "mem": 752, "time_avg": 2.0797, "time_diff": 3.7408, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:14:42", "iter": "840/938", "loss": 0.2259, "lr": 0.1000, "mem": 752, "time_avg": 2.0993, "time_diff": 3.7847, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:15:34", "iter": "850/938", "loss": 0.2268, "lr": 0.1000, "mem": 752, "time_avg": 2.1184, "time_diff": 3.6469, "top1_err": 6.5625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:16:24", "iter": "860/938", "loss": 0.3320, "lr": 0.1000, "mem": 752, "time_avg": 2.1370, "time_diff": 3.8157, "top1_err": 10.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:17:13", "iter": "870/938", "loss": 0.1329, "lr": 0.1000, "mem": 752, "time_avg": 2.1553, "time_diff": 3.6524, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:17:58", "iter": "880/938", "loss": 0.3049, "lr": 0.1000, "mem": 752, "time_avg": 2.1729, "time_diff": 3.7892, "top1_err": 9.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:18:41", "iter": "890/938", "loss": 0.2550, "lr": 0.1000, "mem": 752, "time_avg": 2.1898, "time_diff": 3.7101, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:19:22", "iter": "900/938", "loss": 0.2457, "lr": 0.1000, "mem": 752, "time_avg": 2.2064, "time_diff": 3.7236, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:20:01", "iter": "910/938", "loss": 0.2698, "lr": 0.1000, "mem": 752, "time_avg": 2.2227, "time_diff": 3.5657, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:20:42", "iter": "920/938", "loss": 0.2287, "lr": 0.1000, "mem": 752, "time_avg": 2.2393, "time_diff": 3.7922, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "1/5", "eta": "00,02:21:20", "iter": "930/938", "loss": 0.2018, "lr": 0.1000, "mem": 752, "time_avg": 2.2554, "time_diff": 3.7442, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "1/5", "eta": "00,02:21:45", "loss": 0.4201, "lr": 0.1000, "mem": 752, "time_avg": 2.2670, "top1_err": 13.1567, "top5_err": 1.2200}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "10/938", "mem": 752, "time_avg": 0.1166, "time_diff": 0.0613, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "20/938", "mem": 752, "time_avg": 0.0898, "time_diff": 0.0610, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "30/938", "mem": 752, "time_avg": 0.0810, "time_diff": 0.0632, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "40/938", "mem": 752, "time_avg": 0.0763, "time_diff": 0.0620, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "50/938", "mem": 752, "time_avg": 0.0741, "time_diff": 0.0608, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "60/938", "mem": 752, "time_avg": 0.0725, "time_diff": 0.0621, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "70/938", "mem": 752, "time_avg": 0.0722, "time_diff": 0.0908, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "80/938", "mem": 752, "time_avg": 0.0712, "time_diff": 0.0650, "top1_err": 3.4375, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "90/938", "mem": 752, "time_avg": 0.0712, "time_diff": 0.0725, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "100/938", "mem": 752, "time_avg": 0.0719, "time_diff": 0.0810, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "110/938", "mem": 752, "time_avg": 0.0722, "time_diff": 0.1046, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "120/938", "mem": 752, "time_avg": 0.0719, "time_diff": 0.0670, "top1_err": 2.8125, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "130/938", "mem": 752, "time_avg": 0.0713, "time_diff": 0.0714, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "140/938", "mem": 752, "time_avg": 0.0709, "time_diff": 0.0636, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "150/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0687, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "160/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0618, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "170/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0601, "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": 0.0703, "time_diff": 0.0705, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "190/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0694, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "200/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0599, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "210/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0863, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "220/938", "mem": 752, "time_avg": 0.0710, "time_diff": 0.1026, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "230/938", "mem": 752, "time_avg": 0.0710, "time_diff": 0.0637, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "240/938", "mem": 752, "time_avg": 0.0711, "time_diff": 0.0900, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "250/938", "mem": 752, "time_avg": 0.0709, "time_diff": 0.0644, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "260/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0622, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "270/938", "mem": 752, "time_avg": 0.0712, "time_diff": 0.0713, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "280/938", "mem": 752, "time_avg": 0.0712, "time_diff": 0.1058, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "290/938", "mem": 752, "time_avg": 0.0712, "time_diff": 0.0820, "top1_err": 3.1250, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "300/938", "mem": 752, "time_avg": 0.0710, "time_diff": 0.0617, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "310/938", "mem": 752, "time_avg": 0.0709, "time_diff": 0.0616, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "320/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0608, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "330/938", "mem": 752, "time_avg": 0.0711, "time_diff": 0.1043, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "340/938", "mem": 752, "time_avg": 0.0711, "time_diff": 0.0617, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "350/938", "mem": 752, "time_avg": 0.0709, "time_diff": 0.0629, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "360/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0748, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "370/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0660, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "380/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0634, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "390/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0628, "top1_err": 4.6875, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "400/938", "mem": 752, "time_avg": 0.0709, "time_diff": 0.0692, "top1_err": 5.9375, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "410/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0817, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "420/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0617, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "430/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0606, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "440/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0985, "top1_err": 4.6875, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "450/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0631, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "460/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0697, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "470/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0634, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "480/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0671, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "490/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0834, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "500/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0625, "top1_err": 6.2500, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "510/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0733, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "520/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0702, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "530/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0684, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "540/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0608, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "550/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0616, "top1_err": 4.6875, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "560/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0705, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "570/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0745, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "580/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0687, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "590/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0716, "top1_err": 7.8125, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "600/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0709, "top1_err": 6.8750, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "610/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0617, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "620/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0689, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "630/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0701, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "640/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0640, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "650/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0721, "top1_err": 5.9375, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "660/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0789, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "670/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0702, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "680/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0695, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "690/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0616, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "700/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0737, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "710/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0729, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "720/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0622, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "730/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0782, "top1_err": 5.0000, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "740/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.1055, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "750/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0631, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "760/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0660, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "770/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0709, "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": 0.0700, "time_diff": 0.0630, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "790/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0705, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "800/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0628, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "810/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0615, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "820/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0997, "top1_err": 4.3750, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "830/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0821, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "840/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0641, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "850/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.1038, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "860/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0617, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "870/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0700, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "880/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0721, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "890/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0717, "top1_err": 6.8750, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "900/938", "mem": 752, "time_avg": 0.0704, "time_diff": 0.0631, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "910/938", "mem": 752, "time_avg": 0.0705, "time_diff": 0.0839, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "1/5", "iter": "920/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0808, "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": 0.0706, "time_diff": 0.0707, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "1/5", "mem": 752, "min_top1_err": 5.0667, "min_top5_err": 0.1933, "top1_err": 5.0667, "top5_err": 0.1933}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:22:27", "iter": "10/938", "loss": 0.1979, "lr": 0.0905, "mem": 752, "time_avg": 2.2841, "time_diff": 3.7441, "top1_err": 7.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:22:59", "iter": "20/938", "loss": 0.2250, "lr": 0.0905, "mem": 752, "time_avg": 2.2990, "time_diff": 3.7382, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:23:30", "iter": "30/938", "loss": 0.1518, "lr": 0.0905, "mem": 752, "time_avg": 2.3135, "time_diff": 3.7053, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:24:00", "iter": "40/938", "loss": 0.1455, "lr": 0.0905, "mem": 752, "time_avg": 2.3276, "time_diff": 3.6299, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:24:28", "iter": "50/938", "loss": 0.2203, "lr": 0.0905, "mem": 752, "time_avg": 2.3415, "time_diff": 3.7248, "top1_err": 5.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:24:55", "iter": "60/938", "loss": 0.1965, "lr": 0.0905, "mem": 752, "time_avg": 2.3551, "time_diff": 3.6494, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:25:20", "iter": "70/938", "loss": 0.2358, "lr": 0.0905, "mem": 752, "time_avg": 2.3684, "time_diff": 3.6921, "top1_err": 6.5625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:25:45", "iter": "80/938", "loss": 0.1696, "lr": 0.0905, "mem": 752, "time_avg": 2.3816, "time_diff": 3.7432, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:26:09", "iter": "90/938", "loss": 0.2454, "lr": 0.0905, "mem": 752, "time_avg": 2.3949, "time_diff": 3.7534, "top1_err": 6.8750, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:26:34", "iter": "100/938", "loss": 0.1651, "lr": 0.0905, "mem": 752, "time_avg": 2.4083, "time_diff": 3.7487, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:26:56", "iter": "110/938", "loss": 0.2240, "lr": 0.0905, "mem": 752, "time_avg": 2.4208, "time_diff": 3.6071, "top1_err": 7.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:16", "iter": "120/938", "loss": 0.2712, "lr": 0.0905, "mem": 752, "time_avg": 2.4330, "time_diff": 3.7555, "top1_err": 7.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:35", "iter": "130/938", "loss": 0.2496, "lr": 0.0905, "mem": 752, "time_avg": 2.4450, "time_diff": 3.7838, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:54", "iter": "140/938", "loss": 0.1898, "lr": 0.0905, "mem": 752, "time_avg": 2.4569, "time_diff": 3.6803, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:10", "iter": "150/938", "loss": 0.2106, "lr": 0.0905, "mem": 752, "time_avg": 2.4683, "time_diff": 3.5952, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:27", "iter": "160/938", "loss": 0.1698, "lr": 0.0905, "mem": 752, "time_avg": 2.4798, "time_diff": 3.7138, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:44", "iter": "170/938", "loss": 0.1965, "lr": 0.0905, "mem": 752, "time_avg": 2.4914, "time_diff": 3.8150, "top1_err": 7.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:00", "iter": "180/938", "loss": 0.1934, "lr": 0.0905, "mem": 752, "time_avg": 2.5029, "time_diff": 3.8931, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:13", "iter": "190/938", "loss": 0.1933, "lr": 0.0905, "mem": 752, "time_avg": 2.5136, "time_diff": 3.7007, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:26", "iter": "200/938", "loss": 0.2249, "lr": 0.0905, "mem": 752, "time_avg": 2.5244, "time_diff": 3.7055, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:37", "iter": "210/938", "loss": 0.1955, "lr": 0.0905, "mem": 752, "time_avg": 2.5346, "time_diff": 3.6986, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:49", "iter": "220/938", "loss": 0.1740, "lr": 0.0905, "mem": 752, "time_avg": 2.5451, "time_diff": 3.6793, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:00", "iter": "230/938", "loss": 0.2414, "lr": 0.0905, "mem": 752, "time_avg": 2.5555, "time_diff": 3.8555, "top1_err": 7.1875, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:11", "iter": "240/938", "loss": 0.1826, "lr": 0.0905, "mem": 752, "time_avg": 2.5658, "time_diff": 3.6912, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:18", "iter": "250/938", "loss": 0.1698, "lr": 0.0905, "mem": 752, "time_avg": 2.5753, "time_diff": 3.7129, "top1_err": 5.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:27", "iter": "260/938", "loss": 0.1789, "lr": 0.0905, "mem": 752, "time_avg": 2.5852, "time_diff": 3.6733, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:35", "iter": "270/938", "loss": 0.2256, "lr": 0.0905, "mem": 752, "time_avg": 2.5948, "time_diff": 3.7235, "top1_err": 8.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:42", "iter": "280/938", "loss": 0.1970, "lr": 0.0905, "mem": 752, "time_avg": 2.6044, "time_diff": 3.6980, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:48", "iter": "290/938", "loss": 0.2151, "lr": 0.0905, "mem": 752, "time_avg": 2.6136, "time_diff": 3.7235, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:54", "iter": "300/938", "loss": 0.1865, "lr": 0.0905, "mem": 752, "time_avg": 2.6229, "time_diff": 3.8350, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:05", "iter": "310/938", "loss": 0.1598, "lr": 0.0905, "mem": 752, "time_avg": 2.6338, "time_diff": 4.3013, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:27", "iter": "320/938", "loss": 0.1518, "lr": 0.0905, "mem": 752, "time_avg": 2.6479, "time_diff": 4.5326, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:36", "iter": "330/938", "loss": 0.1320, "lr": 0.0905, "mem": 752, "time_avg": 2.6583, "time_diff": 3.7397, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:38", "iter": "340/938", "loss": 0.1449, "lr": 0.0905, "mem": 752, "time_avg": 2.6666, "time_diff": 3.6608, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:40", "iter": "350/938", "loss": 0.2118, "lr": 0.0905, "mem": 752, "time_avg": 2.6750, "time_diff": 3.7544, "top1_err": 5.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:39", "iter": "360/938", "loss": 0.1555, "lr": 0.0905, "mem": 752, "time_avg": 2.6828, "time_diff": 3.7081, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:40", "iter": "370/938", "loss": 0.2070, "lr": 0.0905, "mem": 752, "time_avg": 2.6908, "time_diff": 3.6862, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:41", "iter": "380/938", "loss": 0.2045, "lr": 0.0905, "mem": 752, "time_avg": 2.6991, "time_diff": 3.8472, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:40", "iter": "390/938", "loss": 0.1908, "lr": 0.0905, "mem": 752, "time_avg": 2.7070, "time_diff": 3.6904, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:39", "iter": "400/938", "loss": 0.1910, "lr": 0.0905, "mem": 752, "time_avg": 2.7146, "time_diff": 3.7105, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:38", "iter": "410/938", "loss": 0.1598, "lr": 0.0905, "mem": 752, "time_avg": 2.7226, "time_diff": 3.8704, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:37", "iter": "420/938", "loss": 0.2048, "lr": 0.0905, "mem": 752, "time_avg": 2.7304, "time_diff": 3.7263, "top1_err": 7.1875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:34", "iter": "430/938", "loss": 0.2071, "lr": 0.0905, "mem": 752, "time_avg": 2.7376, "time_diff": 3.7579, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:32", "iter": "440/938", "loss": 0.2473, "lr": 0.0905, "mem": 752, "time_avg": 2.7454, "time_diff": 3.8492, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:54", "iter": "450/938", "loss": 0.2116, "lr": 0.0905, "mem": 752, "time_avg": 2.7604, "time_diff": 6.3429, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:22", "iter": "460/938", "loss": 0.1554, "lr": 0.0905, "mem": 752, "time_avg": 2.7771, "time_diff": 4.6341, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:23", "iter": "470/938", "loss": 0.1105, "lr": 0.0905, "mem": 752, "time_avg": 2.7860, "time_diff": 3.6935, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:18", "iter": "480/938", "loss": 0.1494, "lr": 0.0905, "mem": 752, "time_avg": 2.7928, "time_diff": 3.6334, "top1_err": 5.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:17", "iter": "490/938", "loss": 0.1876, "lr": 0.0905, "mem": 752, "time_avg": 2.8011, "time_diff": 4.2739, "top1_err": 6.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:33:09", "iter": "500/938", "loss": 0.1999, "lr": 0.0905, "mem": 752, "time_avg": 2.8258, "time_diff": 6.5460, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:33:29", "iter": "510/938", "loss": 0.1571, "lr": 0.0905, "mem": 752, "time_avg": 2.8408, "time_diff": 3.6317, "top1_err": 2.8125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:33:21", "iter": "520/938", "loss": 0.2377, "lr": 0.0905, "mem": 752, "time_avg": 2.8470, "time_diff": 3.6157, "top1_err": 6.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:33:12", "iter": "530/938", "loss": 0.2294, "lr": 0.0905, "mem": 752, "time_avg": 2.8530, "time_diff": 3.8763, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:33:03", "iter": "540/938", "loss": 0.2040, "lr": 0.0905, "mem": 752, "time_avg": 2.8592, "time_diff": 3.8533, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:53", "iter": "550/938", "loss": 0.1423, "lr": 0.0905, "mem": 752, "time_avg": 2.8650, "time_diff": 3.7751, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:44", "iter": "560/938", "loss": 0.1220, "lr": 0.0905, "mem": 752, "time_avg": 2.8710, "time_diff": 3.7705, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:34", "iter": "570/938", "loss": 0.0854, "lr": 0.0905, "mem": 752, "time_avg": 2.8770, "time_diff": 3.7454, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:22", "iter": "580/938", "loss": 0.1279, "lr": 0.0905, "mem": 752, "time_avg": 2.8823, "time_diff": 3.6823, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:32:11", "iter": "590/938", "loss": 0.1985, "lr": 0.0905, "mem": 752, "time_avg": 2.8877, "time_diff": 3.7154, "top1_err": 6.5625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:58", "iter": "600/938", "loss": 0.1636, "lr": 0.0905, "mem": 752, "time_avg": 2.8931, "time_diff": 3.7477, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:46", "iter": "610/938", "loss": 0.1511, "lr": 0.0905, "mem": 752, "time_avg": 2.8984, "time_diff": 3.7450, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:33", "iter": "620/938", "loss": 0.1335, "lr": 0.0905, "mem": 752, "time_avg": 2.9034, "time_diff": 3.6309, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:21", "iter": "630/938", "loss": 0.1751, "lr": 0.0905, "mem": 752, "time_avg": 2.9089, "time_diff": 3.7479, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:31:09", "iter": "640/938", "loss": 0.1555, "lr": 0.0905, "mem": 752, "time_avg": 2.9143, "time_diff": 3.7017, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:55", "iter": "650/938", "loss": 0.1242, "lr": 0.0905, "mem": 752, "time_avg": 2.9194, "time_diff": 3.6948, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:42", "iter": "660/938", "loss": 0.1201, "lr": 0.0905, "mem": 752, "time_avg": 2.9245, "time_diff": 3.6366, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:28", "iter": "670/938", "loss": 0.1248, "lr": 0.0905, "mem": 752, "time_avg": 2.9293, "time_diff": 3.6445, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:30:13", "iter": "680/938", "loss": 0.1079, "lr": 0.0905, "mem": 752, "time_avg": 2.9340, "time_diff": 3.6838, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:58", "iter": "690/938", "loss": 0.2015, "lr": 0.0905, "mem": 752, "time_avg": 2.9389, "time_diff": 3.8351, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:44", "iter": "700/938", "loss": 0.1476, "lr": 0.0905, "mem": 752, "time_avg": 2.9439, "time_diff": 3.7736, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:28", "iter": "710/938", "loss": 0.1993, "lr": 0.0905, "mem": 752, "time_avg": 2.9483, "time_diff": 3.7241, "top1_err": 6.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:29:13", "iter": "720/938", "loss": 0.2008, "lr": 0.0905, "mem": 752, "time_avg": 2.9529, "time_diff": 3.7219, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:57", "iter": "730/938", "loss": 0.1686, "lr": 0.0905, "mem": 752, "time_avg": 2.9574, "time_diff": 3.7059, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:41", "iter": "740/938", "loss": 0.1577, "lr": 0.0905, "mem": 752, "time_avg": 2.9621, "time_diff": 3.6882, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:25", "iter": "750/938", "loss": 0.1216, "lr": 0.0905, "mem": 752, "time_avg": 2.9667, "time_diff": 3.7308, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:28:09", "iter": "760/938", "loss": 0.1557, "lr": 0.0905, "mem": 752, "time_avg": 2.9712, "time_diff": 3.6642, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:54", "iter": "770/938", "loss": 0.1912, "lr": 0.0905, "mem": 752, "time_avg": 2.9760, "time_diff": 3.8364, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:36", "iter": "780/938", "loss": 0.2539, "lr": 0.0905, "mem": 752, "time_avg": 2.9800, "time_diff": 3.7312, "top1_err": 9.0625, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:19", "iter": "790/938", "loss": 0.2341, "lr": 0.0905, "mem": 752, "time_avg": 2.9843, "time_diff": 3.7103, "top1_err": 8.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:27:02", "iter": "800/938", "loss": 0.1644, "lr": 0.0905, "mem": 752, "time_avg": 2.9886, "time_diff": 3.6574, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:26:44", "iter": "810/938", "loss": 0.1355, "lr": 0.0905, "mem": 752, "time_avg": 2.9927, "time_diff": 3.6943, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:26:27", "iter": "820/938", "loss": 0.1658, "lr": 0.0905, "mem": 752, "time_avg": 2.9971, "time_diff": 3.8360, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:26:08", "iter": "830/938", "loss": 0.1592, "lr": 0.0905, "mem": 752, "time_avg": 3.0010, "time_diff": 3.7811, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:25:50", "iter": "840/938", "loss": 0.2295, "lr": 0.0905, "mem": 752, "time_avg": 3.0050, "time_diff": 3.6208, "top1_err": 6.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:25:31", "iter": "850/938", "loss": 0.1040, "lr": 0.0905, "mem": 752, "time_avg": 3.0090, "time_diff": 3.6896, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:25:13", "iter": "860/938", "loss": 0.1116, "lr": 0.0905, "mem": 752, "time_avg": 3.0131, "time_diff": 3.7512, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:24:54", "iter": "870/938", "loss": 0.2338, "lr": 0.0905, "mem": 752, "time_avg": 3.0169, "time_diff": 3.6127, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:24:34", "iter": "880/938", "loss": 0.2753, "lr": 0.0905, "mem": 752, "time_avg": 3.0205, "time_diff": 3.7003, "top1_err": 9.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:24:15", "iter": "890/938", "loss": 0.2095, "lr": 0.0905, "mem": 752, "time_avg": 3.0244, "time_diff": 3.8293, "top1_err": 5.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:23:56", "iter": "900/938", "loss": 0.1621, "lr": 0.0905, "mem": 752, "time_avg": 3.0283, "time_diff": 3.6469, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:23:36", "iter": "910/938", "loss": 0.1535, "lr": 0.0905, "mem": 752, "time_avg": 3.0319, "time_diff": 3.7477, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:23:17", "iter": "920/938", "loss": 0.1809, "lr": 0.0905, "mem": 752, "time_avg": 3.0357, "time_diff": 3.8044, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "2/5", "eta": "00,02:22:58", "iter": "930/938", "loss": 0.1377, "lr": 0.0905, "mem": 752, "time_avg": 3.0397, "time_diff": 3.7429, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "2/5", "eta": "00,02:22:40", "loss": 0.1804, "lr": 0.0905, "mem": 752, "time_avg": 3.0421, "top1_err": 5.4867, "top5_err": 0.1700}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "10/938", "mem": 752, "time_avg": 0.1201, "time_diff": 0.0606, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "20/938", "mem": 752, "time_avg": 0.0940, "time_diff": 0.0644, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "30/938", "mem": 752, "time_avg": 0.0874, "time_diff": 0.0621, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "40/938", "mem": 752, "time_avg": 0.0826, "time_diff": 0.0635, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "50/938", "mem": 752, "time_avg": 0.0814, "time_diff": 0.0952, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "60/938", "mem": 752, "time_avg": 0.0806, "time_diff": 0.0619, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "70/938", "mem": 752, "time_avg": 0.0784, "time_diff": 0.0640, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "80/938", "mem": 752, "time_avg": 0.0772, "time_diff": 0.0621, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "90/938", "mem": 752, "time_avg": 0.0763, "time_diff": 0.0789, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "100/938", "mem": 752, "time_avg": 0.0762, "time_diff": 0.0623, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "110/938", "mem": 752, "time_avg": 0.0752, "time_diff": 0.0605, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "120/938", "mem": 752, "time_avg": 0.0743, "time_diff": 0.0920, "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": 0.0747, "time_diff": 0.0608, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "140/938", "mem": 752, "time_avg": 0.0738, "time_diff": 0.0605, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "150/938", "mem": 752, "time_avg": 0.0733, "time_diff": 0.0862, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "160/938", "mem": 752, "time_avg": 0.0734, "time_diff": 0.0607, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "170/938", "mem": 752, "time_avg": 0.0730, "time_diff": 0.0677, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "180/938", "mem": 752, "time_avg": 0.0731, "time_diff": 0.0617, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "190/938", "mem": 752, "time_avg": 0.0731, "time_diff": 0.0654, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "200/938", "mem": 752, "time_avg": 0.0732, "time_diff": 0.0639, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "210/938", "mem": 752, "time_avg": 0.0727, "time_diff": 0.0595, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "220/938", "mem": 752, "time_avg": 0.0724, "time_diff": 0.0615, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "230/938", "mem": 752, "time_avg": 0.0723, "time_diff": 0.0670, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "240/938", "mem": 752, "time_avg": 0.0721, "time_diff": 0.0611, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "250/938", "mem": 752, "time_avg": 0.0719, "time_diff": 0.0601, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "260/938", "mem": 752, "time_avg": 0.0716, "time_diff": 0.0615, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "270/938", "mem": 752, "time_avg": 0.0714, "time_diff": 0.0690, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "280/938", "mem": 752, "time_avg": 0.0711, "time_diff": 0.0592, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "290/938", "mem": 752, "time_avg": 0.0710, "time_diff": 0.0709, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "300/938", "mem": 752, "time_avg": 0.0709, "time_diff": 0.0715, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "310/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0603, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "320/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0602, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "330/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0610, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "340/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0612, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "350/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0658, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "360/938", "mem": 752, "time_avg": 0.0700, "time_diff": 0.0614, "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": 0.0703, "time_diff": 0.0613, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "380/938", "mem": 752, "time_avg": 0.0702, "time_diff": 0.0781, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "390/938", "mem": 752, "time_avg": 0.0703, "time_diff": 0.0611, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "400/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0767, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "410/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0724, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "420/938", "mem": 752, "time_avg": 0.0701, "time_diff": 0.0784, "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": 0.0700, "time_diff": 0.0714, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "440/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0601, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "450/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0699, "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": 0.0699, "time_diff": 0.0621, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "470/938", "mem": 752, "time_avg": 0.0698, "time_diff": 0.0608, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "480/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0681, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "490/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0706, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "500/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0692, "top1_err": 5.0000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "510/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0879, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "520/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0711, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "530/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0618, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "540/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0789, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "550/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0725, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "560/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0947, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "570/938", "mem": 752, "time_avg": 0.0697, "time_diff": 0.0612, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "580/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0601, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "590/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0737, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "600/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0607, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "610/938", "mem": 752, "time_avg": 0.0696, "time_diff": 0.0613, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "620/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0606, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "630/938", "mem": 752, "time_avg": 0.0694, "time_diff": 0.0627, "top1_err": 5.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "640/938", "mem": 752, "time_avg": 0.0693, "time_diff": 0.0652, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "650/938", "mem": 752, "time_avg": 0.0693, "time_diff": 0.0601, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "660/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0933, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "670/938", "mem": 752, "time_avg": 0.0693, "time_diff": 0.0601, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "680/938", "mem": 752, "time_avg": 0.0692, "time_diff": 0.0602, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "690/938", "mem": 752, "time_avg": 0.0691, "time_diff": 0.0597, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "700/938", "mem": 752, "time_avg": 0.0690, "time_diff": 0.0618, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "710/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0591, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "720/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0709, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "730/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0695, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "740/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0610, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "750/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0619, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "760/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.1012, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "770/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0822, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "780/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0961, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "790/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0788, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "800/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0700, "top1_err": 5.0000, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "810/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0678, "top1_err": 3.4375, "top5_err": 0.6250}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "820/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0631, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "830/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0598, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "840/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0714, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "850/938", "mem": 752, "time_avg": 0.0687, "time_diff": 0.0599, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "860/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0692, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "870/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0627, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "880/938", "mem": 752, "time_avg": 0.0687, "time_diff": 0.0607, "top1_err": 7.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "890/938", "mem": 752, "time_avg": 0.0686, "time_diff": 0.0623, "top1_err": 3.7500, "top5_err": 0.9375}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "900/938", "mem": 752, "time_avg": 0.0686, "time_diff": 0.0612, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "910/938", "mem": 752, "time_avg": 0.0685, "time_diff": 0.0609, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "920/938", "mem": 752, "time_avg": 0.0685, "time_diff": 0.0639, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "2/5", "iter": "930/938", "mem": 752, "time_avg": 0.0684, "time_diff": 0.0611, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "2/5", "mem": 752, "min_top1_err": 3.5500, "min_top5_err": 0.1167, "top1_err": 3.5500, "top5_err": 0.1167}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:22:21", "iter": "10/938", "loss": 0.1271, "lr": 0.0658, "mem": 752, "time_avg": 3.0462, "time_diff": 3.5549, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:22:00", "iter": "20/938", "loss": 0.1479, "lr": 0.0658, "mem": 752, "time_avg": 3.0495, "time_diff": 3.6556, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:21:39", "iter": "30/938", "loss": 0.0659, "lr": 0.0658, "mem": 752, "time_avg": 3.0529, "time_diff": 3.6809, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:21:18", "iter": "40/938", "loss": 0.1008, "lr": 0.0658, "mem": 752, "time_avg": 3.0564, "time_diff": 3.6764, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:20:57", "iter": "50/938", "loss": 0.1022, "lr": 0.0658, "mem": 752, "time_avg": 3.0600, "time_diff": 3.6963, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:20:36", "iter": "60/938", "loss": 0.1168, "lr": 0.0658, "mem": 752, "time_avg": 3.0634, "time_diff": 3.6303, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:20:15", "iter": "70/938", "loss": 0.1517, "lr": 0.0658, "mem": 752, "time_avg": 3.0669, "time_diff": 3.8333, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:19:53", "iter": "80/938", "loss": 0.1318, "lr": 0.0658, "mem": 752, "time_avg": 3.0702, "time_diff": 3.6472, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:19:32", "iter": "90/938", "loss": 0.1327, "lr": 0.0658, "mem": 752, "time_avg": 3.0735, "time_diff": 3.6545, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:19:10", "iter": "100/938", "loss": 0.1514, "lr": 0.0658, "mem": 752, "time_avg": 3.0768, "time_diff": 3.7310, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:18:47", "iter": "110/938", "loss": 0.1634, "lr": 0.0658, "mem": 752, "time_avg": 3.0798, "time_diff": 3.6877, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:18:25", "iter": "120/938", "loss": 0.1410, "lr": 0.0658, "mem": 752, "time_avg": 3.0829, "time_diff": 3.6842, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:18:02", "iter": "130/938", "loss": 0.1638, "lr": 0.0658, "mem": 752, "time_avg": 3.0861, "time_diff": 3.6651, "top1_err": 5.3125, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:17:39", "iter": "140/938", "loss": 0.1186, "lr": 0.0658, "mem": 752, "time_avg": 3.0890, "time_diff": 3.7586, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:17:17", "iter": "150/938", "loss": 0.1013, "lr": 0.0658, "mem": 752, "time_avg": 3.0922, "time_diff": 3.7314, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:16:54", "iter": "160/938", "loss": 0.0935, "lr": 0.0658, "mem": 752, "time_avg": 3.0951, "time_diff": 3.6107, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:16:31", "iter": "170/938", "loss": 0.1323, "lr": 0.0658, "mem": 752, "time_avg": 3.0981, "time_diff": 3.7306, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:16:08", "iter": "180/938", "loss": 0.1567, "lr": 0.0658, "mem": 752, "time_avg": 3.1012, "time_diff": 3.8642, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:15:45", "iter": "190/938", "loss": 0.1059, "lr": 0.0658, "mem": 752, "time_avg": 3.1040, "time_diff": 3.6058, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:15:21", "iter": "200/938", "loss": 0.1278, "lr": 0.0658, "mem": 752, "time_avg": 3.1071, "time_diff": 3.7211, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:14:58", "iter": "210/938", "loss": 0.0879, "lr": 0.0658, "mem": 752, "time_avg": 3.1100, "time_diff": 3.6685, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:14:34", "iter": "220/938", "loss": 0.1327, "lr": 0.0658, "mem": 752, "time_avg": 3.1127, "time_diff": 3.6638, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:14:10", "iter": "230/938", "loss": 0.0912, "lr": 0.0658, "mem": 752, "time_avg": 3.1155, "time_diff": 3.7298, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:13:47", "iter": "240/938", "loss": 0.0868, "lr": 0.0658, "mem": 752, "time_avg": 3.1185, "time_diff": 3.7855, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:13:23", "iter": "250/938", "loss": 0.0692, "lr": 0.0658, "mem": 752, "time_avg": 3.1215, "time_diff": 3.8539, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:12:59", "iter": "260/938", "loss": 0.2039, "lr": 0.0658, "mem": 752, "time_avg": 3.1242, "time_diff": 3.6494, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:12:35", "iter": "270/938", "loss": 0.0857, "lr": 0.0658, "mem": 752, "time_avg": 3.1270, "time_diff": 3.7475, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:12:10", "iter": "280/938", "loss": 0.1154, "lr": 0.0658, "mem": 752, "time_avg": 3.1297, "time_diff": 3.7327, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:11:46", "iter": "290/938", "loss": 0.1603, "lr": 0.0658, "mem": 752, "time_avg": 3.1324, "time_diff": 3.6657, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:11:20", "iter": "300/938", "loss": 0.1701, "lr": 0.0658, "mem": 752, "time_avg": 3.1347, "time_diff": 3.6640, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:10:55", "iter": "310/938", "loss": 0.1372, "lr": 0.0658, "mem": 752, "time_avg": 3.1374, "time_diff": 3.6593, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:10:30", "iter": "320/938", "loss": 0.1185, "lr": 0.0658, "mem": 752, "time_avg": 3.1397, "time_diff": 3.6367, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:10:05", "iter": "330/938", "loss": 0.0962, "lr": 0.0658, "mem": 752, "time_avg": 3.1424, "time_diff": 4.1224, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:09:47", "iter": "340/938", "loss": 0.1727, "lr": 0.0658, "mem": 752, "time_avg": 3.1478, "time_diff": 4.5760, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:09:27", "iter": "350/938", "loss": 0.1746, "lr": 0.0658, "mem": 752, "time_avg": 3.1523, "time_diff": 3.5839, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:09:01", "iter": "360/938", "loss": 0.1207, "lr": 0.0658, "mem": 752, "time_avg": 3.1548, "time_diff": 3.7264, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:08:35", "iter": "370/938", "loss": 0.1605, "lr": 0.0658, "mem": 752, "time_avg": 3.1571, "time_diff": 3.6870, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:08:10", "iter": "380/938", "loss": 0.2065, "lr": 0.0658, "mem": 752, "time_avg": 3.1595, "time_diff": 3.5715, "top1_err": 6.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:07:44", "iter": "390/938", "loss": 0.1277, "lr": 0.0658, "mem": 752, "time_avg": 3.1619, "time_diff": 3.7375, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:07:18", "iter": "400/938", "loss": 0.1863, "lr": 0.0658, "mem": 752, "time_avg": 3.1641, "time_diff": 3.6422, "top1_err": 5.0000, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:06:52", "iter": "410/938", "loss": 0.2412, "lr": 0.0658, "mem": 752, "time_avg": 3.1665, "time_diff": 3.7399, "top1_err": 8.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:06:26", "iter": "420/938", "loss": 0.1432, "lr": 0.0658, "mem": 752, "time_avg": 3.1689, "time_diff": 3.8013, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:06:00", "iter": "430/938", "loss": 0.1514, "lr": 0.0658, "mem": 752, "time_avg": 3.1714, "time_diff": 3.7717, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:05:39", "iter": "440/938", "loss": 0.1079, "lr": 0.0658, "mem": 752, "time_avg": 3.1760, "time_diff": 4.7109, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:05:20", "iter": "450/938", "loss": 0.1134, "lr": 0.0658, "mem": 752, "time_avg": 3.1813, "time_diff": 3.7255, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:04:54", "iter": "460/938", "loss": 0.1040, "lr": 0.0658, "mem": 752, "time_avg": 3.1836, "time_diff": 3.6454, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:04:29", "iter": "470/938", "loss": 0.1514, "lr": 0.0658, "mem": 752, "time_avg": 3.1865, "time_diff": 4.3081, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:04:09", "iter": "480/938", "loss": 0.1807, "lr": 0.0658, "mem": 752, "time_avg": 3.1916, "time_diff": 4.5920, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:03:44", "iter": "490/938", "loss": 0.1172, "lr": 0.0658, "mem": 752, "time_avg": 3.1949, "time_diff": 3.7426, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:03:17", "iter": "500/938", "loss": 0.0987, "lr": 0.0658, "mem": 752, "time_avg": 3.1970, "time_diff": 3.7327, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:03:01", "iter": "510/938", "loss": 0.1149, "lr": 0.0658, "mem": 752, "time_avg": 3.2039, "time_diff": 8.9407, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:03:04", "iter": "520/938", "loss": 0.1237, "lr": 0.0658, "mem": 752, "time_avg": 3.2189, "time_diff": 4.1232, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:02:36", "iter": "530/938", "loss": 0.1035, "lr": 0.0658, "mem": 752, "time_avg": 3.2207, "time_diff": 3.5855, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:02:07", "iter": "540/938", "loss": 0.0751, "lr": 0.0658, "mem": 752, "time_avg": 3.2225, "time_diff": 3.7124, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:01:39", "iter": "550/938", "loss": 0.1389, "lr": 0.0658, "mem": 752, "time_avg": 3.2243, "time_diff": 3.7637, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:01:11", "iter": "560/938", "loss": 0.0800, "lr": 0.0658, "mem": 752, "time_avg": 3.2261, "time_diff": 3.6560, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:00:43", "iter": "570/938", "loss": 0.1383, "lr": 0.0658, "mem": 752, "time_avg": 3.2281, "time_diff": 3.6484, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,02:00:15", "iter": "580/938", "loss": 0.1100, "lr": 0.0658, "mem": 752, "time_avg": 3.2299, "time_diff": 3.8196, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:59:47", "iter": "590/938", "loss": 0.1440, "lr": 0.0658, "mem": 752, "time_avg": 3.2317, "time_diff": 3.7511, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:59:19", "iter": "600/938", "loss": 0.1632, "lr": 0.0658, "mem": 752, "time_avg": 3.2336, "time_diff": 3.7379, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:58:50", "iter": "610/938", "loss": 0.1283, "lr": 0.0658, "mem": 752, "time_avg": 3.2354, "time_diff": 3.7377, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:58:23", "iter": "620/938", "loss": 0.1076, "lr": 0.0658, "mem": 752, "time_avg": 3.2375, "time_diff": 3.7509, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:57:54", "iter": "630/938", "loss": 0.0890, "lr": 0.0658, "mem": 752, "time_avg": 3.2393, "time_diff": 3.6670, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:57:26", "iter": "640/938", "loss": 0.1497, "lr": 0.0658, "mem": 752, "time_avg": 3.2412, "time_diff": 3.7203, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:56:57", "iter": "650/938", "loss": 0.1792, "lr": 0.0658, "mem": 752, "time_avg": 3.2430, "time_diff": 3.6646, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:56:29", "iter": "660/938", "loss": 0.1595, "lr": 0.0658, "mem": 752, "time_avg": 3.2448, "time_diff": 3.6311, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:56:00", "iter": "670/938", "loss": 0.1052, "lr": 0.0658, "mem": 752, "time_avg": 3.2466, "time_diff": 3.7489, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:55:31", "iter": "680/938", "loss": 0.1403, "lr": 0.0658, "mem": 752, "time_avg": 3.2483, "time_diff": 3.7001, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:55:03", "iter": "690/938", "loss": 0.1382, "lr": 0.0658, "mem": 752, "time_avg": 3.2501, "time_diff": 3.7360, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:54:34", "iter": "700/938", "loss": 0.1173, "lr": 0.0658, "mem": 752, "time_avg": 3.2517, "time_diff": 3.6978, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:54:05", "iter": "710/938", "loss": 0.1316, "lr": 0.0658, "mem": 752, "time_avg": 3.2535, "time_diff": 3.8780, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:53:36", "iter": "720/938", "loss": 0.0935, "lr": 0.0658, "mem": 752, "time_avg": 3.2551, "time_diff": 3.6886, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:53:06", "iter": "730/938", "loss": 0.1033, "lr": 0.0658, "mem": 752, "time_avg": 3.2566, "time_diff": 3.5874, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:52:37", "iter": "740/938", "loss": 0.1720, "lr": 0.0658, "mem": 752, "time_avg": 3.2582, "time_diff": 3.6271, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:52:07", "iter": "750/938", "loss": 0.1136, "lr": 0.0658, "mem": 752, "time_avg": 3.2596, "time_diff": 3.6340, "top1_err": 4.0625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:51:38", "iter": "760/938", "loss": 0.1604, "lr": 0.0658, "mem": 752, "time_avg": 3.2613, "time_diff": 3.6412, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:51:09", "iter": "770/938", "loss": 0.1215, "lr": 0.0658, "mem": 752, "time_avg": 3.2628, "time_diff": 3.6806, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:50:39", "iter": "780/938", "loss": 0.1213, "lr": 0.0658, "mem": 752, "time_avg": 3.2644, "time_diff": 3.6812, "top1_err": 4.3750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:50:10", "iter": "790/938", "loss": 0.1261, "lr": 0.0658, "mem": 752, "time_avg": 3.2659, "time_diff": 3.7007, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:49:40", "iter": "800/938", "loss": 0.1021, "lr": 0.0658, "mem": 752, "time_avg": 3.2674, "time_diff": 3.6294, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:49:10", "iter": "810/938", "loss": 0.1541, "lr": 0.0658, "mem": 752, "time_avg": 3.2688, "time_diff": 3.6634, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:48:40", "iter": "820/938", "loss": 0.1195, "lr": 0.0658, "mem": 752, "time_avg": 3.2703, "time_diff": 3.6502, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:48:11", "iter": "830/938", "loss": 0.1825, "lr": 0.0658, "mem": 752, "time_avg": 3.2718, "time_diff": 3.7125, "top1_err": 5.6250, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:47:41", "iter": "840/938", "loss": 0.0554, "lr": 0.0658, "mem": 752, "time_avg": 3.2732, "time_diff": 3.5962, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:47:11", "iter": "850/938", "loss": 0.0948, "lr": 0.0658, "mem": 752, "time_avg": 3.2747, "time_diff": 3.6906, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:46:41", "iter": "860/938", "loss": 0.1386, "lr": 0.0658, "mem": 752, "time_avg": 3.2761, "time_diff": 3.5915, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:46:11", "iter": "870/938", "loss": 0.1352, "lr": 0.0658, "mem": 752, "time_avg": 3.2775, "time_diff": 3.6530, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:45:41", "iter": "880/938", "loss": 0.1453, "lr": 0.0658, "mem": 752, "time_avg": 3.2789, "time_diff": 3.7071, "top1_err": 3.4375, "top5_err": 0.6250}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:45:10", "iter": "890/938", "loss": 0.1432, "lr": 0.0658, "mem": 752, "time_avg": 3.2801, "time_diff": 3.6504, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:44:40", "iter": "900/938", "loss": 0.1294, "lr": 0.0658, "mem": 752, "time_avg": 3.2815, "time_diff": 3.7126, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:44:10", "iter": "910/938", "loss": 0.0861, "lr": 0.0658, "mem": 752, "time_avg": 3.2829, "time_diff": 3.6265, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:43:40", "iter": "920/938", "loss": 0.1355, "lr": 0.0658, "mem": 752, "time_avg": 3.2842, "time_diff": 3.6969, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "3/5", "eta": "00,01:43:10", "iter": "930/938", "loss": 0.1759, "lr": 0.0658, "mem": 752, "time_avg": 3.2857, "time_diff": 3.6275, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "3/5", "eta": "00,01:42:45", "loss": 0.1300, "lr": 0.0658, "mem": 752, "time_avg": 3.2863, "top1_err": 3.8767, "top5_err": 0.0967}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "10/938", "mem": 752, "time_avg": 0.1029, "time_diff": 0.0592, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "20/938", "mem": 752, "time_avg": 0.0817, "time_diff": 0.0602, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "30/938", "mem": 752, "time_avg": 0.0743, "time_diff": 0.0589, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "40/938", "mem": 752, "time_avg": 0.0707, "time_diff": 0.0603, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "50/938", "mem": 752, "time_avg": 0.0689, "time_diff": 0.0749, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "60/938", "mem": 752, "time_avg": 0.0676, "time_diff": 0.0608, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "70/938", "mem": 752, "time_avg": 0.0670, "time_diff": 0.0611, "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": 0.0662, "time_diff": 0.0588, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "90/938", "mem": 752, "time_avg": 0.0655, "time_diff": 0.0605, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "100/938", "mem": 752, "time_avg": 0.0649, "time_diff": 0.0594, "top1_err": 5.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "110/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0573, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "120/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0587, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "130/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0589, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "140/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0701, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "150/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0589, "top1_err": 3.7500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "160/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0651, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "170/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0634, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "180/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0591, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "190/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0594, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "200/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0683, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "210/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0590, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "220/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0613, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "230/938", "mem": 752, "time_avg": 0.0630, "time_diff": 0.0611, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "240/938", "mem": 752, "time_avg": 0.0629, "time_diff": 0.0576, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "250/938", "mem": 752, "time_avg": 0.0628, "time_diff": 0.0594, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "260/938", "mem": 752, "time_avg": 0.0627, "time_diff": 0.0574, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "270/938", "mem": 752, "time_avg": 0.0626, "time_diff": 0.0592, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "280/938", "mem": 752, "time_avg": 0.0625, "time_diff": 0.0596, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "290/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0589, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "300/938", "mem": 752, "time_avg": 0.0624, "time_diff": 0.0575, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "310/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0580, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "320/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0607, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "330/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0627, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "340/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0602, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "350/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0606, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "360/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0625, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "370/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0582, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "380/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0599, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "390/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0778, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "400/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0583, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "410/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0617, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "420/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0610, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "430/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0594, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "440/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0608, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "450/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0583, "top1_err": 6.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "460/938", "mem": 752, "time_avg": 0.0618, "time_diff": 0.0601, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "470/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0710, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "480/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0616, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "490/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0584, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "500/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0595, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "510/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0603, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "520/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0607, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "530/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0606, "top1_err": 5.0000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "540/938", "mem": 752, "time_avg": 0.0619, "time_diff": 0.0593, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "550/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0621, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "560/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0756, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "570/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0615, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "580/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0609, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "590/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0618, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "600/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0600, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "610/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0614, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "620/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0603, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "630/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0610, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "640/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0678, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "650/938", "mem": 752, "time_avg": 0.0623, "time_diff": 0.0612, "top1_err": 4.6875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "660/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0613, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "670/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0605, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "680/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0587, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "690/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0617, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "700/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0599, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "710/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0571, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "720/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0601, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "730/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0673, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "740/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0589, "top1_err": 5.3125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "750/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0610, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "760/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0598, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "770/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0612, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "780/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0598, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "790/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0595, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "800/938", "mem": 752, "time_avg": 0.0622, "time_diff": 0.0689, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "810/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0614, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "820/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0579, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "830/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0704, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "840/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0592, "top1_err": 6.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "850/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0595, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "860/938", "mem": 752, "time_avg": 0.0621, "time_diff": 0.0598, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "870/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0591, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "880/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0610, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "890/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0638, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "900/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0587, "top1_err": 5.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "910/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0606, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "920/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0597, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "3/5", "iter": "930/938", "mem": 752, "time_avg": 0.0620, "time_diff": 0.0580, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "3/5", "mem": 752, "min_top1_err": 3.5500, "min_top5_err": 0.0367, "top1_err": 3.8900, "top5_err": 0.0367}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:42:15", "iter": "10/938", "loss": 0.1094, "lr": 0.0352, "mem": 752, "time_avg": 3.2878, "time_diff": 3.6012, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:41:44", "iter": "20/938", "loss": 0.1372, "lr": 0.0352, "mem": 752, "time_avg": 3.2891, "time_diff": 3.6401, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:41:13", "iter": "30/938", "loss": 0.1381, "lr": 0.0352, "mem": 752, "time_avg": 3.2903, "time_diff": 3.6108, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:40:42", "iter": "40/938", "loss": 0.0963, "lr": 0.0352, "mem": 752, "time_avg": 3.2913, "time_diff": 3.5108, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:40:12", "iter": "50/938", "loss": 0.0786, "lr": 0.0352, "mem": 752, "time_avg": 3.2926, "time_diff": 3.6248, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:39:41", "iter": "60/938", "loss": 0.0870, "lr": 0.0352, "mem": 752, "time_avg": 3.2939, "time_diff": 3.6267, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:39:11", "iter": "70/938", "loss": 0.0600, "lr": 0.0352, "mem": 752, "time_avg": 3.2952, "time_diff": 3.6438, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:38:40", "iter": "80/938", "loss": 0.1249, "lr": 0.0352, "mem": 752, "time_avg": 3.2964, "time_diff": 3.6878, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:38:09", "iter": "90/938", "loss": 0.1133, "lr": 0.0352, "mem": 752, "time_avg": 3.2977, "time_diff": 3.6080, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:37:38", "iter": "100/938", "loss": 0.0588, "lr": 0.0352, "mem": 752, "time_avg": 3.2990, "time_diff": 3.6733, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:37:08", "iter": "110/938", "loss": 0.0813, "lr": 0.0352, "mem": 752, "time_avg": 3.3002, "time_diff": 3.6711, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:36:37", "iter": "120/938", "loss": 0.0811, "lr": 0.0352, "mem": 752, "time_avg": 3.3013, "time_diff": 3.6716, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:36:06", "iter": "130/938", "loss": 0.0865, "lr": 0.0352, "mem": 752, "time_avg": 3.3026, "time_diff": 3.5883, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:35:35", "iter": "140/938", "loss": 0.0838, "lr": 0.0352, "mem": 752, "time_avg": 3.3038, "time_diff": 3.7047, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:35:04", "iter": "150/938", "loss": 0.0737, "lr": 0.0352, "mem": 752, "time_avg": 3.3051, "time_diff": 3.7012, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:34:33", "iter": "160/938", "loss": 0.0739, "lr": 0.0352, "mem": 752, "time_avg": 3.3064, "time_diff": 3.6030, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:34:02", "iter": "170/938", "loss": 0.0701, "lr": 0.0352, "mem": 752, "time_avg": 3.3077, "time_diff": 3.7016, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:33:32", "iter": "180/938", "loss": 0.0781, "lr": 0.0352, "mem": 752, "time_avg": 3.3090, "time_diff": 3.6729, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:33:00", "iter": "190/938", "loss": 0.0821, "lr": 0.0352, "mem": 752, "time_avg": 3.3101, "time_diff": 3.7151, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:32:29", "iter": "200/938", "loss": 0.0455, "lr": 0.0352, "mem": 752, "time_avg": 3.3113, "time_diff": 3.6973, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:31:58", "iter": "210/938", "loss": 0.0882, "lr": 0.0352, "mem": 752, "time_avg": 3.3125, "time_diff": 3.6840, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:31:27", "iter": "220/938", "loss": 0.1191, "lr": 0.0352, "mem": 752, "time_avg": 3.3137, "time_diff": 3.7049, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:30:56", "iter": "230/938", "loss": 0.0977, "lr": 0.0352, "mem": 752, "time_avg": 3.3149, "time_diff": 3.7595, "top1_err": 3.7500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:30:25", "iter": "240/938", "loss": 0.1469, "lr": 0.0352, "mem": 752, "time_avg": 3.3160, "time_diff": 3.7339, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:29:53", "iter": "250/938", "loss": 0.0811, "lr": 0.0352, "mem": 752, "time_avg": 3.3172, "time_diff": 3.6248, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:29:22", "iter": "260/938", "loss": 0.0702, "lr": 0.0352, "mem": 752, "time_avg": 3.3185, "time_diff": 3.7009, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:28:51", "iter": "270/938", "loss": 0.0685, "lr": 0.0352, "mem": 752, "time_avg": 3.3196, "time_diff": 3.7310, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:28:20", "iter": "280/938", "loss": 0.0600, "lr": 0.0352, "mem": 752, "time_avg": 3.3208, "time_diff": 3.7457, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:27:48", "iter": "290/938", "loss": 0.1078, "lr": 0.0352, "mem": 752, "time_avg": 3.3219, "time_diff": 3.5412, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:27:17", "iter": "300/938", "loss": 0.0936, "lr": 0.0352, "mem": 752, "time_avg": 3.3230, "time_diff": 3.7633, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:26:45", "iter": "310/938", "loss": 0.1105, "lr": 0.0352, "mem": 752, "time_avg": 3.3243, "time_diff": 3.7297, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:26:14", "iter": "320/938", "loss": 0.0605, "lr": 0.0352, "mem": 752, "time_avg": 3.3254, "time_diff": 3.6714, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:25:42", "iter": "330/938", "loss": 0.0803, "lr": 0.0352, "mem": 752, "time_avg": 3.3265, "time_diff": 3.7644, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:25:11", "iter": "340/938", "loss": 0.0966, "lr": 0.0352, "mem": 752, "time_avg": 3.3278, "time_diff": 3.7788, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:24:39", "iter": "350/938", "loss": 0.0634, "lr": 0.0352, "mem": 752, "time_avg": 3.3289, "time_diff": 3.7571, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:24:08", "iter": "360/938", "loss": 0.0898, "lr": 0.0352, "mem": 752, "time_avg": 3.3301, "time_diff": 3.9552, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:23:40", "iter": "370/938", "loss": 0.0745, "lr": 0.0352, "mem": 752, "time_avg": 3.3336, "time_diff": 4.4741, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:23:10", "iter": "380/938", "loss": 0.0700, "lr": 0.0352, "mem": 752, "time_avg": 3.3361, "time_diff": 3.6198, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:22:39", "iter": "390/938", "loss": 0.0417, "lr": 0.0352, "mem": 752, "time_avg": 3.3372, "time_diff": 3.7684, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:22:07", "iter": "400/938", "loss": 0.0930, "lr": 0.0352, "mem": 752, "time_avg": 3.3382, "time_diff": 3.6775, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:21:35", "iter": "410/938", "loss": 0.1331, "lr": 0.0352, "mem": 752, "time_avg": 3.3394, "time_diff": 3.7601, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:21:03", "iter": "420/938", "loss": 0.0599, "lr": 0.0352, "mem": 752, "time_avg": 3.3406, "time_diff": 3.6482, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:20:32", "iter": "430/938", "loss": 0.0878, "lr": 0.0352, "mem": 752, "time_avg": 3.3417, "time_diff": 3.7061, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:20:04", "iter": "440/938", "loss": 0.1172, "lr": 0.0352, "mem": 752, "time_avg": 3.3457, "time_diff": 5.0901, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:19:34", "iter": "450/938", "loss": 0.1310, "lr": 0.0352, "mem": 752, "time_avg": 3.3483, "time_diff": 3.6969, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:19:02", "iter": "460/938", "loss": 0.0920, "lr": 0.0352, "mem": 752, "time_avg": 3.3494, "time_diff": 3.7754, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:18:30", "iter": "470/938", "loss": 0.1063, "lr": 0.0352, "mem": 752, "time_avg": 3.3504, "time_diff": 3.6456, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:17:58", "iter": "480/938", "loss": 0.1147, "lr": 0.0352, "mem": 752, "time_avg": 3.3515, "time_diff": 3.7178, "top1_err": 4.0625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:17:26", "iter": "490/938", "loss": 0.1013, "lr": 0.0352, "mem": 752, "time_avg": 3.3525, "time_diff": 3.7662, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:16:56", "iter": "500/938", "loss": 0.1228, "lr": 0.0352, "mem": 752, "time_avg": 3.3553, "time_diff": 4.6555, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:16:27", "iter": "510/938", "loss": 0.1325, "lr": 0.0352, "mem": 752, "time_avg": 3.3583, "time_diff": 3.9092, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:15:55", "iter": "520/938", "loss": 0.0663, "lr": 0.0352, "mem": 752, "time_avg": 3.3595, "time_diff": 3.7053, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:15:31", "iter": "530/938", "loss": 0.0926, "lr": 0.0352, "mem": 752, "time_avg": 3.3663, "time_diff": 10.3925, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:15:09", "iter": "540/938", "loss": 0.0645, "lr": 0.0352, "mem": 752, "time_avg": 3.3755, "time_diff": 3.6927, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:14:37", "iter": "550/938", "loss": 0.0887, "lr": 0.0352, "mem": 752, "time_avg": 3.3765, "time_diff": 3.6987, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:14:04", "iter": "560/938", "loss": 0.1046, "lr": 0.0352, "mem": 752, "time_avg": 3.3775, "time_diff": 3.7722, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:13:32", "iter": "570/938", "loss": 0.0830, "lr": 0.0352, "mem": 752, "time_avg": 3.3786, "time_diff": 3.6781, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:12:59", "iter": "580/938", "loss": 0.1031, "lr": 0.0352, "mem": 752, "time_avg": 3.3795, "time_diff": 3.7887, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:12:27", "iter": "590/938", "loss": 0.0810, "lr": 0.0352, "mem": 752, "time_avg": 3.3806, "time_diff": 3.9100, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:11:54", "iter": "600/938", "loss": 0.0962, "lr": 0.0352, "mem": 752, "time_avg": 3.3817, "time_diff": 3.6478, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:11:22", "iter": "610/938", "loss": 0.0528, "lr": 0.0352, "mem": 752, "time_avg": 3.3825, "time_diff": 3.6393, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:10:49", "iter": "620/938", "loss": 0.1080, "lr": 0.0352, "mem": 752, "time_avg": 3.3835, "time_diff": 3.7056, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:10:16", "iter": "630/938", "loss": 0.1293, "lr": 0.0352, "mem": 752, "time_avg": 3.3844, "time_diff": 3.5843, "top1_err": 4.6875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:09:44", "iter": "640/938", "loss": 0.0771, "lr": 0.0352, "mem": 752, "time_avg": 3.3854, "time_diff": 3.7773, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:09:11", "iter": "650/938", "loss": 0.0947, "lr": 0.0352, "mem": 752, "time_avg": 3.3862, "time_diff": 3.6112, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:08:38", "iter": "660/938", "loss": 0.0837, "lr": 0.0352, "mem": 752, "time_avg": 3.3872, "time_diff": 3.6137, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:08:05", "iter": "670/938", "loss": 0.0929, "lr": 0.0352, "mem": 752, "time_avg": 3.3880, "time_diff": 3.6901, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:07:33", "iter": "680/938", "loss": 0.0699, "lr": 0.0352, "mem": 752, "time_avg": 3.3889, "time_diff": 3.7346, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:07:00", "iter": "690/938", "loss": 0.0566, "lr": 0.0352, "mem": 752, "time_avg": 3.3900, "time_diff": 3.7776, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:06:27", "iter": "700/938", "loss": 0.0809, "lr": 0.0352, "mem": 752, "time_avg": 3.3909, "time_diff": 3.7170, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:05:54", "iter": "710/938", "loss": 0.0631, "lr": 0.0352, "mem": 752, "time_avg": 3.3918, "time_diff": 3.6523, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:05:22", "iter": "720/938", "loss": 0.0649, "lr": 0.0352, "mem": 752, "time_avg": 3.3927, "time_diff": 3.7139, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:04:49", "iter": "730/938", "loss": 0.0515, "lr": 0.0352, "mem": 752, "time_avg": 3.3937, "time_diff": 3.7368, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:04:16", "iter": "740/938", "loss": 0.0612, "lr": 0.0352, "mem": 752, "time_avg": 3.3946, "time_diff": 3.7834, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:03:43", "iter": "750/938", "loss": 0.0763, "lr": 0.0352, "mem": 752, "time_avg": 3.3956, "time_diff": 3.6969, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:03:10", "iter": "760/938", "loss": 0.0987, "lr": 0.0352, "mem": 752, "time_avg": 3.3964, "time_diff": 3.8215, "top1_err": 3.4375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:02:37", "iter": "770/938", "loss": 0.0760, "lr": 0.0352, "mem": 752, "time_avg": 3.3974, "time_diff": 3.7969, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:02:04", "iter": "780/938", "loss": 0.1060, "lr": 0.0352, "mem": 752, "time_avg": 3.3983, "time_diff": 3.6630, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:01:31", "iter": "790/938", "loss": 0.1141, "lr": 0.0352, "mem": 752, "time_avg": 3.3992, "time_diff": 3.7201, "top1_err": 5.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:00:58", "iter": "800/938", "loss": 0.1240, "lr": 0.0352, "mem": 752, "time_avg": 3.4001, "time_diff": 3.7872, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,01:00:25", "iter": "810/938", "loss": 0.0789, "lr": 0.0352, "mem": 752, "time_avg": 3.4010, "time_diff": 3.8057, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:59:52", "iter": "820/938", "loss": 0.0779, "lr": 0.0352, "mem": 752, "time_avg": 3.4019, "time_diff": 3.7715, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:59:19", "iter": "830/938", "loss": 0.0833, "lr": 0.0352, "mem": 752, "time_avg": 3.4028, "time_diff": 3.6600, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:58:46", "iter": "840/938", "loss": 0.0671, "lr": 0.0352, "mem": 752, "time_avg": 3.4037, "time_diff": 3.7877, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:58:13", "iter": "850/938", "loss": 0.0620, "lr": 0.0352, "mem": 752, "time_avg": 3.4046, "time_diff": 3.7726, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:57:39", "iter": "860/938", "loss": 0.1289, "lr": 0.0352, "mem": 752, "time_avg": 3.4054, "time_diff": 3.6606, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:57:06", "iter": "870/938", "loss": 0.0740, "lr": 0.0352, "mem": 752, "time_avg": 3.4063, "time_diff": 3.8107, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:56:33", "iter": "880/938", "loss": 0.0872, "lr": 0.0352, "mem": 752, "time_avg": 3.4071, "time_diff": 3.7603, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:56:00", "iter": "890/938", "loss": 0.0883, "lr": 0.0352, "mem": 752, "time_avg": 3.4079, "time_diff": 3.7694, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:55:26", "iter": "900/938", "loss": 0.1159, "lr": 0.0352, "mem": 752, "time_avg": 3.4087, "time_diff": 3.7654, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:54:53", "iter": "910/938", "loss": 0.1465, "lr": 0.0352, "mem": 752, "time_avg": 3.4095, "time_diff": 3.7151, "top1_err": 4.3750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:54:20", "iter": "920/938", "loss": 0.0773, "lr": 0.0352, "mem": 752, "time_avg": 3.4104, "time_diff": 3.6034, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "4/5", "eta": "00,00:53:46", "iter": "930/938", "loss": 0.0853, "lr": 0.0352, "mem": 752, "time_avg": 3.4110, "time_diff": 3.7451, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "4/5", "eta": "00,00:53:19", "loss": 0.0890, "lr": 0.0352, "mem": 752, "time_avg": 3.4113, "top1_err": 2.6533, "top5_err": 0.0533}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "10/938", "mem": 752, "time_avg": 0.1218, "time_diff": 0.0620, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "20/938", "mem": 752, "time_avg": 0.0916, "time_diff": 0.0621, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "30/938", "mem": 752, "time_avg": 0.0812, "time_diff": 0.0590, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "40/938", "mem": 752, "time_avg": 0.0759, "time_diff": 0.0583, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "50/938", "mem": 752, "time_avg": 0.0727, "time_diff": 0.0622, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "60/938", "mem": 752, "time_avg": 0.0708, "time_diff": 0.0624, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "70/938", "mem": 752, "time_avg": 0.0695, "time_diff": 0.0660, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "80/938", "mem": 752, "time_avg": 0.0686, "time_diff": 0.0693, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "90/938", "mem": 752, "time_avg": 0.0682, "time_diff": 0.0614, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "100/938", "mem": 752, "time_avg": 0.0677, "time_diff": 0.0824, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "110/938", "mem": 752, "time_avg": 0.0671, "time_diff": 0.0586, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "120/938", "mem": 752, "time_avg": 0.0664, "time_diff": 0.0583, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "130/938", "mem": 752, "time_avg": 0.0660, "time_diff": 0.0606, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "140/938", "mem": 752, "time_avg": 0.0655, "time_diff": 0.0606, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "150/938", "mem": 752, "time_avg": 0.0652, "time_diff": 0.0606, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "160/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0598, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "170/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0621, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "180/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0640, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "190/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.0687, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "200/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0590, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "210/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0604, "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": 0.0643, "time_diff": 0.0591, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "230/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0595, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "240/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0574, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "250/938", "mem": 752, "time_avg": 0.0640, "time_diff": 0.0562, "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": 0.0639, "time_diff": 0.0780, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "270/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0634, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "280/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0583, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "290/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0595, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "300/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0580, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "310/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0575, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "320/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0592, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "330/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0613, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "340/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0612, "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": 0.0631, "time_diff": 0.0592, "top1_err": 2.5000, "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": 0.0604, "top1_err": 1.5625, "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": 0.0886, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "380/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0587, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "390/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0665, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "400/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0628, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "410/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0592, "top1_err": 3.1250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "420/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0585, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "430/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0589, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "440/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0786, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "450/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0580, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "460/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0679, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "470/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0686, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "480/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0630, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "490/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0584, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "500/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0708, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "510/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0626, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "520/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0622, "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": 0.0634, "time_diff": 0.0611, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "540/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0677, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "550/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0603, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "560/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0585, "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": 0.0634, "time_diff": 0.0614, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "580/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0620, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "590/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0685, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "600/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0595, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "610/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0610, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "620/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0699, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "630/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0616, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "640/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0592, "top1_err": 2.8125, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "650/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0689, "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": 0.0635, "time_diff": 0.0694, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "670/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0592, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "680/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0690, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "690/938", "mem": 752, "time_avg": 0.0635, "time_diff": 0.0598, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "700/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0599, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "710/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0597, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "720/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0668, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "730/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0589, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "740/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0619, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "750/938", "mem": 752, "time_avg": 0.0634, "time_diff": 0.0669, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "760/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0607, "top1_err": 3.4375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "770/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0672, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "780/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0605, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "790/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0598, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "800/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0605, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "810/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0591, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "820/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0612, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "830/938", "mem": 752, "time_avg": 0.0633, "time_diff": 0.0613, "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": 0.0632, "time_diff": 0.0678, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "850/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0582, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "860/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0704, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "870/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0586, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "880/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0604, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "890/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0607, "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": 0.0632, "time_diff": 0.0602, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "910/938", "mem": 752, "time_avg": 0.0632, "time_diff": 0.0634, "top1_err": 2.5000, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "920/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0601, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "4/5", "iter": "930/938", "mem": 752, "time_avg": 0.0631, "time_diff": 0.0580, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "4/5", "mem": 752, "min_top1_err": 1.7767, "min_top5_err": 0.0267, "top1_err": 1.7767, "top5_err": 0.0267}
-
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:52:46", "iter": "10/938", "loss": 0.0718, "lr": 0.0105, "mem": 752, "time_avg": 3.4123, "time_diff": 3.6184, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:52:13", "iter": "20/938", "loss": 0.0614, "lr": 0.0105, "mem": 752, "time_avg": 3.4131, "time_diff": 3.7925, "top1_err": 0.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:51:39", "iter": "30/938", "loss": 0.0909, "lr": 0.0105, "mem": 752, "time_avg": 3.4138, "time_diff": 3.7621, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:51:06", "iter": "40/938", "loss": 0.0719, "lr": 0.0105, "mem": 752, "time_avg": 3.4146, "time_diff": 3.7490, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:50:32", "iter": "50/938", "loss": 0.0517, "lr": 0.0105, "mem": 752, "time_avg": 3.4153, "time_diff": 3.6717, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:49:59", "iter": "60/938", "loss": 0.0451, "lr": 0.0105, "mem": 752, "time_avg": 3.4160, "time_diff": 3.6832, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:49:25", "iter": "70/938", "loss": 0.0536, "lr": 0.0105, "mem": 752, "time_avg": 3.4167, "time_diff": 3.7524, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:48:52", "iter": "80/938", "loss": 0.0416, "lr": 0.0105, "mem": 752, "time_avg": 3.4173, "time_diff": 3.5762, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:48:18", "iter": "90/938", "loss": 0.0609, "lr": 0.0105, "mem": 752, "time_avg": 3.4180, "time_diff": 3.5898, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:47:44", "iter": "100/938", "loss": 0.0657, "lr": 0.0105, "mem": 752, "time_avg": 3.4188, "time_diff": 3.7638, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:47:11", "iter": "110/938", "loss": 0.0394, "lr": 0.0105, "mem": 752, "time_avg": 3.4196, "time_diff": 3.7689, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:46:37", "iter": "120/938", "loss": 0.0488, "lr": 0.0105, "mem": 752, "time_avg": 3.4202, "time_diff": 3.7422, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:46:04", "iter": "130/938", "loss": 0.0753, "lr": 0.0105, "mem": 752, "time_avg": 3.4209, "time_diff": 3.7658, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:45:30", "iter": "140/938", "loss": 0.0532, "lr": 0.0105, "mem": 752, "time_avg": 3.4215, "time_diff": 3.6888, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:44:56", "iter": "150/938", "loss": 0.0292, "lr": 0.0105, "mem": 752, "time_avg": 3.4222, "time_diff": 3.6568, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:44:22", "iter": "160/938", "loss": 0.0421, "lr": 0.0105, "mem": 752, "time_avg": 3.4229, "time_diff": 3.6634, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:43:49", "iter": "170/938", "loss": 0.0607, "lr": 0.0105, "mem": 752, "time_avg": 3.4236, "time_diff": 3.7198, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:43:15", "iter": "180/938", "loss": 0.0359, "lr": 0.0105, "mem": 752, "time_avg": 3.4243, "time_diff": 3.6495, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:42:41", "iter": "190/938", "loss": 0.0650, "lr": 0.0105, "mem": 752, "time_avg": 3.4250, "time_diff": 3.7601, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:42:08", "iter": "200/938", "loss": 0.0385, "lr": 0.0105, "mem": 752, "time_avg": 3.4255, "time_diff": 3.6838, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:41:34", "iter": "210/938", "loss": 0.0820, "lr": 0.0105, "mem": 752, "time_avg": 3.4262, "time_diff": 3.6933, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:41:00", "iter": "220/938", "loss": 0.0659, "lr": 0.0105, "mem": 752, "time_avg": 3.4268, "time_diff": 3.6198, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:40:26", "iter": "230/938", "loss": 0.0226, "lr": 0.0105, "mem": 752, "time_avg": 3.4275, "time_diff": 3.6702, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:39:52", "iter": "240/938", "loss": 0.0551, "lr": 0.0105, "mem": 752, "time_avg": 3.4281, "time_diff": 3.7498, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:39:18", "iter": "250/938", "loss": 0.0792, "lr": 0.0105, "mem": 752, "time_avg": 3.4287, "time_diff": 3.6718, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:38:45", "iter": "260/938", "loss": 0.0542, "lr": 0.0105, "mem": 752, "time_avg": 3.4294, "time_diff": 3.7772, "top1_err": 0.9375, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:38:11", "iter": "270/938", "loss": 0.0416, "lr": 0.0105, "mem": 752, "time_avg": 3.4299, "time_diff": 3.6709, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:37:37", "iter": "280/938", "loss": 0.0748, "lr": 0.0105, "mem": 752, "time_avg": 3.4306, "time_diff": 3.7918, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:37:03", "iter": "290/938", "loss": 0.0501, "lr": 0.0105, "mem": 752, "time_avg": 3.4311, "time_diff": 3.6834, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:36:29", "iter": "300/938", "loss": 0.0343, "lr": 0.0105, "mem": 752, "time_avg": 3.4316, "time_diff": 3.6629, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:35:55", "iter": "310/938", "loss": 0.0521, "lr": 0.0105, "mem": 752, "time_avg": 3.4322, "time_diff": 3.5702, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:35:21", "iter": "320/938", "loss": 0.0638, "lr": 0.0105, "mem": 752, "time_avg": 3.4327, "time_diff": 3.6978, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:34:47", "iter": "330/938", "loss": 0.0311, "lr": 0.0105, "mem": 752, "time_avg": 3.4333, "time_diff": 3.6230, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:34:13", "iter": "340/938", "loss": 0.0373, "lr": 0.0105, "mem": 752, "time_avg": 3.4338, "time_diff": 3.5932, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:33:39", "iter": "350/938", "loss": 0.0706, "lr": 0.0105, "mem": 752, "time_avg": 3.4343, "time_diff": 3.6786, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:33:05", "iter": "360/938", "loss": 0.0461, "lr": 0.0105, "mem": 752, "time_avg": 3.4349, "time_diff": 3.7358, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:32:31", "iter": "370/938", "loss": 0.0636, "lr": 0.0105, "mem": 752, "time_avg": 3.4354, "time_diff": 3.6624, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:31:57", "iter": "380/938", "loss": 0.0334, "lr": 0.0105, "mem": 752, "time_avg": 3.4359, "time_diff": 3.6577, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:31:23", "iter": "390/938", "loss": 0.0179, "lr": 0.0105, "mem": 752, "time_avg": 3.4365, "time_diff": 3.6798, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:30:50", "iter": "400/938", "loss": 0.0776, "lr": 0.0105, "mem": 752, "time_avg": 3.4387, "time_diff": 4.4721, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:30:16", "iter": "410/938", "loss": 0.0432, "lr": 0.0105, "mem": 752, "time_avg": 3.4405, "time_diff": 3.7514, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:29:42", "iter": "420/938", "loss": 0.0604, "lr": 0.0105, "mem": 752, "time_avg": 3.4411, "time_diff": 3.7430, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:29:08", "iter": "430/938", "loss": 0.0359, "lr": 0.0105, "mem": 752, "time_avg": 3.4421, "time_diff": 5.0037, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:28:35", "iter": "440/938", "loss": 0.0456, "lr": 0.0105, "mem": 752, "time_avg": 3.4454, "time_diff": 4.6304, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:28:01", "iter": "450/938", "loss": 0.0613, "lr": 0.0105, "mem": 752, "time_avg": 3.4459, "time_diff": 3.7623, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:27:27", "iter": "460/938", "loss": 0.0251, "lr": 0.0105, "mem": 752, "time_avg": 3.4464, "time_diff": 3.7057, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:26:53", "iter": "470/938", "loss": 0.0496, "lr": 0.0105, "mem": 752, "time_avg": 3.4469, "time_diff": 3.6867, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:26:18", "iter": "480/938", "loss": 0.0438, "lr": 0.0105, "mem": 752, "time_avg": 3.4474, "time_diff": 3.5912, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:25:44", "iter": "490/938", "loss": 0.0375, "lr": 0.0105, "mem": 752, "time_avg": 3.4479, "time_diff": 3.6370, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:25:10", "iter": "500/938", "loss": 0.0632, "lr": 0.0105, "mem": 752, "time_avg": 3.4484, "time_diff": 3.7591, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:24:36", "iter": "510/938", "loss": 0.0379, "lr": 0.0105, "mem": 752, "time_avg": 3.4490, "time_diff": 3.6615, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:24:01", "iter": "520/938", "loss": 0.0373, "lr": 0.0105, "mem": 752, "time_avg": 3.4495, "time_diff": 3.6785, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:23:28", "iter": "530/938", "loss": 0.0542, "lr": 0.0105, "mem": 752, "time_avg": 3.4514, "time_diff": 4.5115, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:22:54", "iter": "540/938", "loss": 0.0764, "lr": 0.0105, "mem": 752, "time_avg": 3.4532, "time_diff": 3.6740, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:22:22", "iter": "550/938", "loss": 0.0480, "lr": 0.0105, "mem": 752, "time_avg": 3.4598, "time_diff": 9.6867, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:21:49", "iter": "560/938", "loss": 0.0308, "lr": 0.0105, "mem": 752, "time_avg": 3.4651, "time_diff": 3.7337, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:21:15", "iter": "570/938", "loss": 0.0409, "lr": 0.0105, "mem": 752, "time_avg": 3.4656, "time_diff": 3.5652, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:20:40", "iter": "580/938", "loss": 0.0315, "lr": 0.0105, "mem": 752, "time_avg": 3.4660, "time_diff": 3.6637, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:20:06", "iter": "590/938", "loss": 0.0607, "lr": 0.0105, "mem": 752, "time_avg": 3.4665, "time_diff": 3.7122, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:19:31", "iter": "600/938", "loss": 0.0698, "lr": 0.0105, "mem": 752, "time_avg": 3.4670, "time_diff": 3.7235, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:18:57", "iter": "610/938", "loss": 0.0577, "lr": 0.0105, "mem": 752, "time_avg": 3.4675, "time_diff": 3.5617, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:18:22", "iter": "620/938", "loss": 0.0664, "lr": 0.0105, "mem": 752, "time_avg": 3.4679, "time_diff": 3.5335, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:17:48", "iter": "630/938", "loss": 0.0717, "lr": 0.0105, "mem": 752, "time_avg": 3.4684, "time_diff": 3.6449, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:17:13", "iter": "640/938", "loss": 0.0671, "lr": 0.0105, "mem": 752, "time_avg": 3.4688, "time_diff": 3.6390, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:16:39", "iter": "650/938", "loss": 0.0642, "lr": 0.0105, "mem": 752, "time_avg": 3.4692, "time_diff": 3.7087, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:16:04", "iter": "660/938", "loss": 0.1012, "lr": 0.0105, "mem": 752, "time_avg": 3.4696, "time_diff": 3.6703, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:15:29", "iter": "670/938", "loss": 0.0922, "lr": 0.0105, "mem": 752, "time_avg": 3.4700, "time_diff": 3.5262, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:14:55", "iter": "680/938", "loss": 0.0672, "lr": 0.0105, "mem": 752, "time_avg": 3.4704, "time_diff": 3.5872, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:14:20", "iter": "690/938", "loss": 0.0712, "lr": 0.0105, "mem": 752, "time_avg": 3.4708, "time_diff": 3.6591, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:13:46", "iter": "700/938", "loss": 0.0744, "lr": 0.0105, "mem": 752, "time_avg": 3.4713, "time_diff": 3.7180, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:13:11", "iter": "710/938", "loss": 0.0679, "lr": 0.0105, "mem": 752, "time_avg": 3.4717, "time_diff": 3.6100, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:12:36", "iter": "720/938", "loss": 0.0453, "lr": 0.0105, "mem": 752, "time_avg": 3.4721, "time_diff": 3.5747, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:12:02", "iter": "730/938", "loss": 0.0438, "lr": 0.0105, "mem": 752, "time_avg": 3.4726, "time_diff": 3.6604, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:11:27", "iter": "740/938", "loss": 0.0611, "lr": 0.0105, "mem": 752, "time_avg": 3.4730, "time_diff": 3.7422, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:10:53", "iter": "750/938", "loss": 0.0693, "lr": 0.0105, "mem": 752, "time_avg": 3.4735, "time_diff": 3.5912, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:10:18", "iter": "760/938", "loss": 0.0791, "lr": 0.0105, "mem": 752, "time_avg": 3.4739, "time_diff": 3.6271, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:09:43", "iter": "770/938", "loss": 0.0518, "lr": 0.0105, "mem": 752, "time_avg": 3.4743, "time_diff": 3.6202, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:09:09", "iter": "780/938", "loss": 0.0657, "lr": 0.0105, "mem": 752, "time_avg": 3.4748, "time_diff": 3.6814, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:08:34", "iter": "790/938", "loss": 0.0546, "lr": 0.0105, "mem": 752, "time_avg": 3.4752, "time_diff": 3.6472, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:07:59", "iter": "800/938", "loss": 0.0241, "lr": 0.0105, "mem": 752, "time_avg": 3.4758, "time_diff": 3.6715, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:07:24", "iter": "810/938", "loss": 0.0386, "lr": 0.0105, "mem": 752, "time_avg": 3.4762, "time_diff": 3.6308, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:06:50", "iter": "820/938", "loss": 0.0467, "lr": 0.0105, "mem": 752, "time_avg": 3.4766, "time_diff": 3.6953, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:06:15", "iter": "830/938", "loss": 0.0432, "lr": 0.0105, "mem": 752, "time_avg": 3.4771, "time_diff": 3.6916, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:05:40", "iter": "840/938", "loss": 0.0390, "lr": 0.0105, "mem": 752, "time_avg": 3.4775, "time_diff": 3.6489, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:05:06", "iter": "850/938", "loss": 0.0364, "lr": 0.0105, "mem": 752, "time_avg": 3.4779, "time_diff": 3.6698, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:04:31", "iter": "860/938", "loss": 0.0339, "lr": 0.0105, "mem": 752, "time_avg": 3.4783, "time_diff": 3.6336, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:03:56", "iter": "870/938", "loss": 0.0531, "lr": 0.0105, "mem": 752, "time_avg": 3.4787, "time_diff": 3.7533, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:03:21", "iter": "880/938", "loss": 0.0526, "lr": 0.0105, "mem": 752, "time_avg": 3.4791, "time_diff": 3.7412, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:02:47", "iter": "890/938", "loss": 0.1206, "lr": 0.0105, "mem": 752, "time_avg": 3.4796, "time_diff": 3.6360, "top1_err": 1.8750, "top5_err": 0.3125}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:02:12", "iter": "900/938", "loss": 0.0656, "lr": 0.0105, "mem": 752, "time_avg": 3.4799, "time_diff": 3.6597, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:01:37", "iter": "910/938", "loss": 0.0493, "lr": 0.0105, "mem": 752, "time_avg": 3.4804, "time_diff": 3.6621, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:01:02", "iter": "920/938", "loss": 0.0389, "lr": 0.0105, "mem": 752, "time_avg": 3.4808, "time_diff": 3.6888, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 193]: json_stats: {"_type": "train_iter", "epoch": "5/5", "eta": "00,00:00:27", "iter": "930/938", "loss": 0.0614, "lr": 0.0105, "mem": 752, "time_avg": 3.4812, "time_diff": 3.6090, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 216]: json_stats: {"_type": "train_epoch", "epoch": "5/5", "eta": "00,00:00:00", "loss": 0.0548, "lr": 0.0105, "mem": 752, "time_avg": 3.4813, "top1_err": 1.6467, "top5_err": 0.0333}
-
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "10/938", "mem": 752, "time_avg": 0.1189, "time_diff": 0.0617, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "20/938", "mem": 752, "time_avg": 0.0902, "time_diff": 0.0664, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "30/938", "mem": 752, "time_avg": 0.0802, "time_diff": 0.0591, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "40/938", "mem": 752, "time_avg": 0.0751, "time_diff": 0.0613, "top1_err": 1.5625, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "50/938", "mem": 752, "time_avg": 0.0726, "time_diff": 0.0603, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "60/938", "mem": 752, "time_avg": 0.0706, "time_diff": 0.0595, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "70/938", "mem": 752, "time_avg": 0.0699, "time_diff": 0.0607, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "80/938", "mem": 752, "time_avg": 0.0688, "time_diff": 0.0634, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "90/938", "mem": 752, "time_avg": 0.0678, "time_diff": 0.0614, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "100/938", "mem": 752, "time_avg": 0.0672, "time_diff": 0.0613, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "110/938", "mem": 752, "time_avg": 0.0667, "time_diff": 0.0615, "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": 0.0664, "time_diff": 0.0599, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "130/938", "mem": 752, "time_avg": 0.0658, "time_diff": 0.0608, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "140/938", "mem": 752, "time_avg": 0.0656, "time_diff": 0.0610, "top1_err": 3.1250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "150/938", "mem": 752, "time_avg": 0.0657, "time_diff": 0.0871, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "160/938", "mem": 752, "time_avg": 0.0654, "time_diff": 0.0618, "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": 0.0651, "time_diff": 0.0603, "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": 0.0651, "time_diff": 0.0568, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "190/938", "mem": 752, "time_avg": 0.0649, "time_diff": 0.0582, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "200/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0574, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "210/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0592, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "220/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0592, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "230/938", "mem": 752, "time_avg": 0.0640, "time_diff": 0.0608, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "240/938", "mem": 752, "time_avg": 0.0640, "time_diff": 0.0600, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "250/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0613, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "260/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0593, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "270/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0599, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "280/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0614, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "290/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0685, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "300/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0611, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "310/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0702, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "320/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0621, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "330/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0685, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "340/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0570, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "350/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0688, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "360/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0580, "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": 0.0638, "time_diff": 0.0619, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "380/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0611, "top1_err": 0.6250, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "390/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0613, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "400/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0615, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "410/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0612, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "420/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0615, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "430/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0600, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "440/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0645, "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": 0.0636, "time_diff": 0.0608, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "460/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0600, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "470/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0747, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "480/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0613, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "490/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0603, "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": 0.0636, "time_diff": 0.0738, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "510/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0590, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "520/938", "mem": 752, "time_avg": 0.0635, "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": 0.0635, "time_diff": 0.1010, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "540/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0609, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "550/938", "mem": 752, "time_avg": 0.0636, "time_diff": 0.0584, "top1_err": 0.3125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "560/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.1068, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "570/938", "mem": 752, "time_avg": 0.0637, "time_diff": 0.0595, "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": 0.0638, "time_diff": 0.0606, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "590/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0571, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "600/938", "mem": 752, "time_avg": 0.0638, "time_diff": 0.0588, "top1_err": 2.1875, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "610/938", "mem": 752, "time_avg": 0.0639, "time_diff": 0.0605, "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": 0.0640, "time_diff": 0.0617, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "630/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0953, "top1_err": 2.1875, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "640/938", "mem": 752, "time_avg": 0.0641, "time_diff": 0.0612, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "650/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0669, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "660/938", "mem": 752, "time_avg": 0.0643, "time_diff": 0.0606, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "670/938", "mem": 752, "time_avg": 0.0642, "time_diff": 0.0596, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "680/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0584, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "690/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0567, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "700/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0657, "top1_err": 2.5000, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "710/938", "mem": 752, "time_avg": 0.0644, "time_diff": 0.0605, "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": 0.0645, "time_diff": 0.0609, "top1_err": 0.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "730/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0623, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "740/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0586, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "750/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0616, "top1_err": 1.2500, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "760/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0581, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "770/938", "mem": 752, "time_avg": 0.0645, "time_diff": 0.0618, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "780/938", "mem": 752, "time_avg": 0.0646, "time_diff": 0.0629, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "790/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.0618, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "800/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.1064, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "810/938", "mem": 752, "time_avg": 0.0647, "time_diff": 0.0580, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "820/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0604, "top1_err": 0.9375, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "830/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0602, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "840/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0634, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "850/938", "mem": 752, "time_avg": 0.0648, "time_diff": 0.0599, "top1_err": 0.9375, "top5_err": 0.3125}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "860/938", "mem": 752, "time_avg": 0.0649, "time_diff": 0.0584, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "870/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0627, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "880/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0583, "top1_err": 1.5625, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "890/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0603, "top1_err": 1.8750, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "900/938", "mem": 752, "time_avg": 0.0650, "time_diff": 0.0612, "top1_err": 0.6250, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "910/938", "mem": 752, "time_avg": 0.0651, "time_diff": 0.1450, "top1_err": 2.8125, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "920/938", "mem": 752, "time_avg": 0.0651, "time_diff": 0.0567, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 277]: json_stats: {"_type": "test_iter", "epoch": "5/5", "iter": "930/938", "mem": 752, "time_avg": 0.0652, "time_diff": 0.0573, "top1_err": 1.2500, "top5_err": 0.0000}
- [meter.py: 297]: json_stats: {"_type": "test_epoch", "epoch": "5/5", "mem": 752, "min_top1_err": 1.3100, "min_top5_err": 0.0233, "top1_err": 1.3100, "top5_err": 0.0233}
-
- Training procedure completed for ASNG.
- Final Accuracy = 75.0
|