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stage1.log
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[2021/12/20 17:21:10] root INFO:
===========================================================
== PaddleClas is powered by PaddlePaddle ! ==
===========================================================
== ==
== For more info please go to the following website. ==
== ==
== https://github.com/PaddlePaddle/PaddleClas ==
===========================================================
[2021/12/20 17:21:10] root INFO: Arch :
[2021/12/20 17:21:10] root INFO: class_num : 1000
[2021/12/20 17:21:10] root INFO: name : OctMobileNetV2_x1_125
[2021/12/20 17:21:10] root INFO: DataLoader :
[2021/12/20 17:21:10] root INFO: Eval :
[2021/12/20 17:21:10] root INFO: dataset :
[2021/12/20 17:21:10] root INFO: cls_label_path : ../ILSVRC2012_w/val_list.txt
[2021/12/20 17:21:10] root INFO: image_root : ../ILSVRC2012_w/
[2021/12/20 17:21:10] root INFO: name : ImageNetDataset
[2021/12/20 17:21:10] root INFO: transform_ops :
[2021/12/20 17:21:10] root INFO: DecodeImage :
[2021/12/20 17:21:10] root INFO: channel_first : False
[2021/12/20 17:21:10] root INFO: to_rgb : True
[2021/12/20 17:21:10] root INFO: ResizeImage :
[2021/12/20 17:21:10] root INFO: resize_short : 232
[2021/12/20 17:21:10] root INFO: CropImage :
[2021/12/20 17:21:10] root INFO: size : 224
[2021/12/20 17:21:10] root INFO: NormalizeImage :
[2021/12/20 17:21:10] root INFO: mean : [0.485, 0.456, 0.406]
[2021/12/20 17:21:10] root INFO: order :
[2021/12/20 17:21:10] root INFO: scale : 1.0/255.0
[2021/12/20 17:21:10] root INFO: std : [0.229, 0.224, 0.225]
[2021/12/20 17:21:10] root INFO: loader :
[2021/12/20 17:21:10] root INFO: num_workers : 4
[2021/12/20 17:21:10] root INFO: use_shared_memory : True
[2021/12/20 17:21:10] root INFO: sampler :
[2021/12/20 17:21:10] root INFO: batch_size : 512
[2021/12/20 17:21:10] root INFO: drop_last : False
[2021/12/20 17:21:10] root INFO: name : DistributedBatchSampler
[2021/12/20 17:21:10] root INFO: shuffle : False
[2021/12/20 17:21:10] root INFO: Train :
[2021/12/20 17:21:10] root INFO: dataset :
[2021/12/20 17:21:10] root INFO: batch_transform_ops :
[2021/12/20 17:21:10] root INFO: MixupOperator :
[2021/12/20 17:21:10] root INFO: alpha : 0.2
[2021/12/20 17:21:10] root INFO: cls_label_path : ../ILSVRC2012_w/train_list.txt
[2021/12/20 17:21:10] root INFO: image_root : ../ILSVRC2012_w/
[2021/12/20 17:21:10] root INFO: name : ImageNetDataset
[2021/12/20 17:21:10] root INFO: transform_ops :
[2021/12/20 17:21:10] root INFO: DecodeImage :
[2021/12/20 17:21:10] root INFO: channel_first : False
[2021/12/20 17:21:10] root INFO: to_rgb : True
[2021/12/20 17:21:10] root INFO: RandCropImage :
[2021/12/20 17:21:10] root INFO: size : 192
[2021/12/20 17:21:10] root INFO: RandFlipImage :
[2021/12/20 17:21:10] root INFO: flip_code : 1
[2021/12/20 17:21:10] root INFO: NormalizeImage :
[2021/12/20 17:21:10] root INFO: mean : [0.485, 0.456, 0.406]
[2021/12/20 17:21:10] root INFO: order :
[2021/12/20 17:21:10] root INFO: scale : 1.0/255.0
[2021/12/20 17:21:10] root INFO: std : [0.229, 0.224, 0.225]
[2021/12/20 17:21:10] root INFO: loader :
[2021/12/20 17:21:10] root INFO: num_workers : 4
[2021/12/20 17:21:10] root INFO: use_shared_memory : True
[2021/12/20 17:21:10] root INFO: sampler :
[2021/12/20 17:21:10] root INFO: batch_size : 512
[2021/12/20 17:21:10] root INFO: drop_last : False
[2021/12/20 17:21:10] root INFO: name : DistributedBatchSampler
[2021/12/20 17:21:10] root INFO: shuffle : True
[2021/12/20 17:21:10] root INFO: Global :
[2021/12/20 17:21:10] root INFO: checkpoints : None
[2021/12/20 17:21:10] root INFO: device : gpu
[2021/12/20 17:21:10] root INFO: epochs : 200
[2021/12/20 17:21:10] root INFO: eval_during_train : True
[2021/12/20 17:21:10] root INFO: eval_interval : 5
[2021/12/20 17:21:10] root INFO: image_shape : [3, 224, 224]
[2021/12/20 17:21:10] root INFO: output_dir : /root/paddlejob/workspace/output/
[2021/12/20 17:21:10] root INFO: pretrained_model : None
[2021/12/20 17:21:10] root INFO: print_batch_step : 30
[2021/12/20 17:21:10] root INFO: save_inference_dir : ./inference
[2021/12/20 17:21:10] root INFO: save_interval : 1
[2021/12/20 17:21:10] root INFO: seed : 134
[2021/12/20 17:21:10] root INFO: use_visualdl : False
[2021/12/20 17:21:10] root INFO: Loss :
[2021/12/20 17:21:10] root INFO: Eval :
[2021/12/20 17:21:10] root INFO: CELoss :
[2021/12/20 17:21:10] root INFO: weight : 1.0
[2021/12/20 17:21:10] root INFO: Train :
[2021/12/20 17:21:10] root INFO: CELoss :
[2021/12/20 17:21:10] root INFO: epsilon : 0.1
[2021/12/20 17:21:10] root INFO: weight : 1.0
[2021/12/20 17:21:10] root INFO: Metric :
[2021/12/20 17:21:10] root INFO: Eval :
[2021/12/20 17:21:10] root INFO: TopkAcc :
[2021/12/20 17:21:10] root INFO: topk : [1]
[2021/12/20 17:21:10] root INFO: Optimizer :
[2021/12/20 17:21:10] root INFO: lr :
[2021/12/20 17:21:10] root INFO: eta_min : 0.25
[2021/12/20 17:21:10] root INFO: learning_rate : 0.5
[2021/12/20 17:21:10] root INFO: name : Cosine
[2021/12/20 17:21:10] root INFO: warmup_epoch : 5
[2021/12/20 17:21:10] root INFO: momentum : 0.9
[2021/12/20 17:21:10] root INFO: name : Momentum
[2021/12/20 17:21:10] root INFO: regularizer :
[2021/12/20 17:21:10] root INFO: coeff : 3e-05
[2021/12/20 17:21:10] root INFO: name : L2
[2021/12/20 17:21:10] root INFO: profiler_options : None
[2021/12/20 17:21:10] root INFO: train with paddle 2.2.1 and device CUDAPlace(0)
[2021/12/20 17:24:10] root INFO: [Train][Epoch 1/200][Iter: 0/626]lr: 0.00016, CELoss: 7.10895, loss: 7.10895, batch_cost: 125.84506s, reader_cost: 125.31965, ips: 4.06849 images/sec, eta: 182 days, 8:36:41
[2021/12/20 17:31:12] root INFO: [Train][Epoch 1/200][Iter: 30/626]lr: 0.00495, CELoss: 7.06577, loss: 7.06577, batch_cost: 11.99772s, reader_cost: 10.34133, ips: 42.67477 images/sec, eta: 17 days, 9:09:14
[2021/12/20 17:32:21] root INFO: [Train][Epoch 1/200][Iter: 60/626]lr: 0.00974, CELoss: 7.02496, loss: 7.02496, batch_cost: 6.79919s, reader_cost: 4.85533, ips: 75.30311 images/sec, eta: 9 days, 20:20:50
[2021/12/20 17:33:21] root INFO: [Train][Epoch 1/200][Iter: 90/626]lr: 0.01454, CELoss: 6.98854, loss: 6.98854, batch_cost: 5.12090s, reader_cost: 3.17102, ips: 99.98237 images/sec, eta: 7 days, 9:57:56
[2021/12/20 17:34:27] root INFO: [Train][Epoch 1/200][Iter: 120/626]lr: 0.01933, CELoss: 6.96062, loss: 6.96062, batch_cost: 4.36784s, reader_cost: 2.35432, ips: 117.22043 images/sec, eta: 6 days, 7:45:29
[2021/12/20 17:35:28] root INFO: [Train][Epoch 1/200][Iter: 150/626]lr: 0.02412, CELoss: 6.93957, loss: 6.93957, batch_cost: 3.88471s, reader_cost: 1.87158, ips: 131.79894 images/sec, eta: 5 days, 14:56:22
[2021/12/20 17:36:33] root INFO: [Train][Epoch 1/200][Iter: 180/626]lr: 0.02891, CELoss: 6.91727, loss: 6.91727, batch_cost: 3.59533s, reader_cost: 1.55352, ips: 142.40698 images/sec, eta: 5 days, 4:51:28
[2021/12/20 17:37:34] root INFO: [Train][Epoch 1/200][Iter: 210/626]lr: 0.03371, CELoss: 6.89119, loss: 6.89119, batch_cost: 3.36631s, reader_cost: 1.32808, ips: 152.09523 images/sec, eta: 4 days, 20:52:35
[2021/12/20 17:38:41] root INFO: [Train][Epoch 1/200][Iter: 240/626]lr: 0.03850, CELoss: 6.86311, loss: 6.86311, batch_cost: 3.22270s, reader_cost: 1.15995, ips: 158.87321 images/sec, eta: 4 days, 15:51:48
[2021/12/20 17:39:41] root INFO: [Train][Epoch 1/200][Iter: 270/626]lr: 0.04329, CELoss: 6.83696, loss: 6.83696, batch_cost: 3.08572s, reader_cost: 1.02973, ips: 165.92570 images/sec, eta: 4 days, 11:04:58
[2021/12/20 17:40:48] root INFO: [Train][Epoch 1/200][Iter: 300/626]lr: 0.04808, CELoss: 6.81355, loss: 6.81355, batch_cost: 2.99651s, reader_cost: 0.92592, ips: 170.86550 images/sec, eta: 4 days, 7:57:43
[2021/12/20 17:41:46] root INFO: [Train][Epoch 1/200][Iter: 330/626]lr: 0.05288, CELoss: 6.78392, loss: 6.78392, batch_cost: 2.89873s, reader_cost: 0.84120, ips: 176.62920 images/sec, eta: 4 days, 4:32:44
[2021/12/20 17:42:51] root INFO: [Train][Epoch 1/200][Iter: 360/626]lr: 0.05767, CELoss: 6.75867, loss: 6.75867, batch_cost: 2.83869s, reader_cost: 0.77381, ips: 180.36481 images/sec, eta: 4 days, 2:26:22
[2021/12/20 17:43:50] root INFO: [Train][Epoch 1/200][Iter: 390/626]lr: 0.06246, CELoss: 6.73180, loss: 6.73180, batch_cost: 2.77121s, reader_cost: 0.75049, ips: 184.75714 images/sec, eta: 4 days, 0:04:34
[2021/12/20 17:44:54] root INFO: [Train][Epoch 1/200][Iter: 420/626]lr: 0.06725, CELoss: 6.70417, loss: 6.70417, batch_cost: 2.72571s, reader_cost: 0.75551, ips: 187.84062 images/sec, eta: 3 days, 22:28:34
[2021/12/20 17:45:57] root INFO: [Train][Epoch 1/200][Iter: 450/626]lr: 0.07204, CELoss: 6.67779, loss: 6.67779, batch_cost: 2.68353s, reader_cost: 0.77581, ips: 190.79333 images/sec, eta: 3 days, 20:59:30
[2021/12/20 17:47:01] root INFO: [Train][Epoch 1/200][Iter: 480/626]lr: 0.07684, CELoss: 6.65297, loss: 6.65297, batch_cost: 2.64868s, reader_cost: 0.76926, ips: 193.30405 images/sec, eta: 3 days, 19:45:42
[2021/12/20 17:48:05] root INFO: [Train][Epoch 1/200][Iter: 510/626]lr: 0.08163, CELoss: 6.62725, loss: 6.62725, batch_cost: 2.61746s, reader_cost: 0.74882, ips: 195.60949 images/sec, eta: 3 days, 18:39:31
[2021/12/20 17:49:10] root INFO: [Train][Epoch 1/200][Iter: 540/626]lr: 0.08642, CELoss: 6.60150, loss: 6.60150, batch_cost: 2.59181s, reader_cost: 0.74769, ips: 197.54509 images/sec, eta: 3 days, 17:44:55
[2021/12/20 17:50:21] root INFO: [Train][Epoch 1/200][Iter: 570/626]lr: 0.09121, CELoss: 6.57289, loss: 6.57289, batch_cost: 2.58065s, reader_cost: 0.79842, ips: 198.39934 images/sec, eta: 3 days, 17:20:26
[2021/12/20 17:51:24] root INFO: [Train][Epoch 1/200][Iter: 600/626]lr: 0.09601, CELoss: 6.54884, loss: 6.54884, batch_cost: 2.55657s, reader_cost: 0.83802, ips: 200.26839 images/sec, eta: 3 days, 16:29:08
[2021/12/20 17:52:14] root INFO: [Train][Epoch 1/200][Avg]CELoss: 6.52720, loss: 6.52720
[2021/12/20 17:52:15] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_1
[2021/12/20 17:52:15] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 17:52:20] root INFO: [Train][Epoch 2/200][Iter: 0/626]lr: 0.10016, CELoss: 5.75045, loss: 5.75045, batch_cost: 2.53883s, reader_cost: 0.87093, ips: 201.66751 images/sec, eta: 3 days, 15:51:12
[2021/12/20 17:52:50] root INFO: [Train][Epoch 2/200][Iter: 30/626]lr: 0.10495, CELoss: 5.93805, loss: 5.93805, batch_cost: 0.99143s, reader_cost: 0.38070, ips: 516.42342 images/sec, eta: 1 day, 10:17:57
[2021/12/20 17:53:21] root INFO: [Train][Epoch 2/200][Iter: 60/626]lr: 0.10974, CELoss: 5.92268, loss: 5.92268, batch_cost: 1.00542s, reader_cost: 0.22521, ips: 509.24146 images/sec, eta: 1 day, 10:46:28
[2021/12/20 17:53:51] root INFO: [Train][Epoch 2/200][Iter: 90/626]lr: 0.11454, CELoss: 5.92794, loss: 5.92794, batch_cost: 1.00837s, reader_cost: 0.17341, ips: 507.75220 images/sec, eta: 1 day, 10:52:05
[2021/12/20 17:54:21] root INFO: [Train][Epoch 2/200][Iter: 120/626]lr: 0.11933, CELoss: 5.92952, loss: 5.92952, batch_cost: 1.00718s, reader_cost: 0.15214, ips: 508.35185 images/sec, eta: 1 day, 10:49:07
[2021/12/20 17:54:50] root INFO: [Train][Epoch 2/200][Iter: 150/626]lr: 0.12412, CELoss: 5.90540, loss: 5.90540, batch_cost: 0.99891s, reader_cost: 0.14168, ips: 512.55634 images/sec, eta: 1 day, 10:31:28
[2021/12/20 17:55:22] root INFO: [Train][Epoch 2/200][Iter: 180/626]lr: 0.12891, CELoss: 5.88812, loss: 5.88812, batch_cost: 1.00668s, reader_cost: 0.12698, ips: 508.60320 images/sec, eta: 1 day, 10:47:04
[2021/12/20 17:55:52] root INFO: [Train][Epoch 2/200][Iter: 210/626]lr: 0.13371, CELoss: 5.88364, loss: 5.88364, batch_cost: 1.00947s, reader_cost: 0.11141, ips: 507.19654 images/sec, eta: 1 day, 10:52:21
[2021/12/20 17:56:24] root INFO: [Train][Epoch 2/200][Iter: 240/626]lr: 0.13850, CELoss: 5.86009, loss: 5.86009, batch_cost: 1.01302s, reader_cost: 0.09889, ips: 505.42135 images/sec, eta: 1 day, 10:59:12
[2021/12/20 17:56:53] root INFO: [Train][Epoch 2/200][Iter: 270/626]lr: 0.14329, CELoss: 5.83895, loss: 5.83895, batch_cost: 1.00960s, reader_cost: 0.09189, ips: 507.13254 images/sec, eta: 1 day, 10:51:37
[2021/12/20 17:57:26] root INFO: [Train][Epoch 2/200][Iter: 300/626]lr: 0.14808, CELoss: 5.82816, loss: 5.82816, batch_cost: 1.01995s, reader_cost: 0.08578, ips: 501.98752 images/sec, eta: 1 day, 11:12:32
[2021/12/20 17:57:56] root INFO: [Train][Epoch 2/200][Iter: 330/626]lr: 0.15288, CELoss: 5.81426, loss: 5.81426, batch_cost: 1.01687s, reader_cost: 0.07864, ips: 503.50596 images/sec, eta: 1 day, 11:05:39
[2021/12/20 17:58:29] root INFO: [Train][Epoch 2/200][Iter: 360/626]lr: 0.15767, CELoss: 5.78365, loss: 5.78365, batch_cost: 1.02350s, reader_cost: 0.07295, ips: 500.24480 images/sec, eta: 1 day, 11:18:52
[2021/12/20 17:58:59] root INFO: [Train][Epoch 2/200][Iter: 390/626]lr: 0.16246, CELoss: 5.75666, loss: 5.75666, batch_cost: 1.02195s, reader_cost: 0.06758, ips: 501.00334 images/sec, eta: 1 day, 11:15:09
[2021/12/20 17:59:33] root INFO: [Train][Epoch 2/200][Iter: 420/626]lr: 0.16725, CELoss: 5.74441, loss: 5.74441, batch_cost: 1.02985s, reader_cost: 0.06287, ips: 497.16123 images/sec, eta: 1 day, 11:30:59
[2021/12/20 18:00:03] root INFO: [Train][Epoch 2/200][Iter: 450/626]lr: 0.17204, CELoss: 5.73433, loss: 5.73433, batch_cost: 1.02903s, reader_cost: 0.05986, ips: 497.55487 images/sec, eta: 1 day, 11:28:47
[2021/12/20 18:00:38] root INFO: [Train][Epoch 2/200][Iter: 480/626]lr: 0.17684, CELoss: 5.71857, loss: 5.71857, batch_cost: 1.03631s, reader_cost: 0.07364, ips: 494.06229 images/sec, eta: 1 day, 11:43:19
[2021/12/20 18:01:12] root INFO: [Train][Epoch 2/200][Iter: 510/626]lr: 0.18163, CELoss: 5.70084, loss: 5.70084, batch_cost: 1.04344s, reader_cost: 0.07646, ips: 490.68275 images/sec, eta: 1 day, 11:57:33
[2021/12/20 18:01:54] root INFO: [Train][Epoch 2/200][Iter: 540/626]lr: 0.18642, CELoss: 5.68890, loss: 5.68890, batch_cost: 1.06227s, reader_cost: 0.07246, ips: 481.98629 images/sec, eta: 1 day, 12:35:57
[2021/12/20 18:02:36] root INFO: [Train][Epoch 2/200][Iter: 570/626]lr: 0.19121, CELoss: 5.68071, loss: 5.68071, batch_cost: 1.08011s, reader_cost: 0.06927, ips: 474.02520 images/sec, eta: 1 day, 13:12:18
[2021/12/20 18:03:22] root INFO: [Train][Epoch 2/200][Iter: 600/626]lr: 0.19601, CELoss: 5.66921, loss: 5.66921, batch_cost: 1.10373s, reader_cost: 0.06751, ips: 463.88021 images/sec, eta: 1 day, 14:00:34
[2021/12/20 18:03:57] root INFO: [Train][Epoch 2/200][Avg]CELoss: 5.65714, loss: 5.65714
[2021/12/20 18:03:57] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_2
[2021/12/20 18:03:57] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 18:04:03] root INFO: [Train][Epoch 3/200][Iter: 0/626]lr: 0.20016, CELoss: 5.45984, loss: 5.45984, batch_cost: 1.12204s, reader_cost: 0.07342, ips: 456.31101 images/sec, eta: 1 day, 14:37:54
[2021/12/20 18:04:33] root INFO: [Train][Epoch 3/200][Iter: 30/626]lr: 0.20495, CELoss: 5.34211, loss: 5.34211, batch_cost: 1.00567s, reader_cost: 0.46221, ips: 509.11342 images/sec, eta: 1 day, 10:37:00
[2021/12/20 18:05:04] root INFO: [Train][Epoch 3/200][Iter: 60/626]lr: 0.20974, CELoss: 5.37665, loss: 5.37665, batch_cost: 1.02266s, reader_cost: 0.39800, ips: 500.65581 images/sec, eta: 1 day, 11:11:35
[2021/12/20 18:05:35] root INFO: [Train][Epoch 3/200][Iter: 90/626]lr: 0.21454, CELoss: 5.35419, loss: 5.35419, batch_cost: 1.01924s, reader_cost: 0.30450, ips: 502.33500 images/sec, eta: 1 day, 11:04:01
[2021/12/20 18:06:07] root INFO: [Train][Epoch 3/200][Iter: 120/626]lr: 0.21933, CELoss: 5.33771, loss: 5.33771, batch_cost: 1.02973s, reader_cost: 0.22822, ips: 497.21624 images/sec, eta: 1 day, 11:25:09
[2021/12/20 18:06:38] root INFO: [Train][Epoch 3/200][Iter: 150/626]lr: 0.22412, CELoss: 5.30282, loss: 5.30282, batch_cost: 1.03290s, reader_cost: 0.18283, ips: 495.69213 images/sec, eta: 1 day, 11:31:10
[2021/12/20 18:07:07] root INFO: [Train][Epoch 3/200][Iter: 180/626]lr: 0.22891, CELoss: 5.30808, loss: 5.30808, batch_cost: 1.01968s, reader_cost: 0.15272, ips: 502.11796 images/sec, eta: 1 day, 11:03:23
[2021/12/20 18:07:39] root INFO: [Train][Epoch 3/200][Iter: 210/626]lr: 0.23371, CELoss: 5.28986, loss: 5.28986, batch_cost: 1.02702s, reader_cost: 0.13126, ips: 498.52929 images/sec, eta: 1 day, 11:18:01
[2021/12/20 18:08:08] root INFO: [Train][Epoch 3/200][Iter: 240/626]lr: 0.23850, CELoss: 5.26683, loss: 5.26683, batch_cost: 1.02181s, reader_cost: 0.11867, ips: 501.07335 images/sec, eta: 1 day, 11:06:45
[2021/12/20 18:08:39] root INFO: [Train][Epoch 3/200][Iter: 270/626]lr: 0.24329, CELoss: 5.25502, loss: 5.25502, batch_cost: 1.02334s, reader_cost: 0.11829, ips: 500.32376 images/sec, eta: 1 day, 11:09:24
[2021/12/20 18:09:10] root INFO: [Train][Epoch 3/200][Iter: 300/626]lr: 0.24808, CELoss: 5.24023, loss: 5.24023, batch_cost: 1.02179s, reader_cost: 0.12890, ips: 501.08010 images/sec, eta: 1 day, 11:05:42
[2021/12/20 18:09:41] root INFO: [Train][Epoch 3/200][Iter: 330/626]lr: 0.25288, CELoss: 5.24517, loss: 5.24517, batch_cost: 1.02421s, reader_cost: 0.13302, ips: 499.89687 images/sec, eta: 1 day, 11:10:10
[2021/12/20 18:10:13] root INFO: [Train][Epoch 3/200][Iter: 360/626]lr: 0.25767, CELoss: 5.22686, loss: 5.22686, batch_cost: 1.02636s, reader_cost: 0.12636, ips: 498.85253 images/sec, eta: 1 day, 11:14:05
[2021/12/20 18:10:48] root INFO: [Train][Epoch 3/200][Iter: 390/626]lr: 0.26246, CELoss: 5.21628, loss: 5.21628, batch_cost: 1.03878s, reader_cost: 0.13756, ips: 492.88399 images/sec, eta: 1 day, 11:39:10
[2021/12/20 18:11:21] root INFO: [Train][Epoch 3/200][Iter: 420/626]lr: 0.26725, CELoss: 5.21715, loss: 5.21715, batch_cost: 1.04196s, reader_cost: 0.15210, ips: 491.37938 images/sec, eta: 1 day, 11:45:11
[2021/12/20 18:11:56] root INFO: [Train][Epoch 3/200][Iter: 450/626]lr: 0.27204, CELoss: 5.20817, loss: 5.20817, batch_cost: 1.05093s, reader_cost: 0.14857, ips: 487.18783 images/sec, eta: 1 day, 12:03:07
[2021/12/20 18:12:29] root INFO: [Train][Epoch 3/200][Iter: 480/626]lr: 0.27684, CELoss: 5.20068, loss: 5.20068, batch_cost: 1.05465s, reader_cost: 0.14936, ips: 485.47040 images/sec, eta: 1 day, 12:10:15
[2021/12/20 18:13:05] root INFO: [Train][Epoch 3/200][Iter: 510/626]lr: 0.28163, CELoss: 5.19884, loss: 5.19884, batch_cost: 1.06276s, reader_cost: 0.15249, ips: 481.76285 images/sec, eta: 1 day, 12:26:25
[2021/12/20 18:13:39] root INFO: [Train][Epoch 3/200][Iter: 540/626]lr: 0.28642, CELoss: 5.18412, loss: 5.18412, batch_cost: 1.06692s, reader_cost: 0.16008, ips: 479.88383 images/sec, eta: 1 day, 12:34:27
[2021/12/20 18:14:14] root INFO: [Train][Epoch 3/200][Iter: 570/626]lr: 0.29121, CELoss: 5.16858, loss: 5.16858, batch_cost: 1.07161s, reader_cost: 0.17136, ips: 477.78618 images/sec, eta: 1 day, 12:43:32
[2021/12/20 18:14:46] root INFO: [Train][Epoch 3/200][Iter: 600/626]lr: 0.29601, CELoss: 5.15738, loss: 5.15738, batch_cost: 1.07259s, reader_cost: 0.17531, ips: 477.34717 images/sec, eta: 1 day, 12:45:02
[2021/12/20 18:15:14] root INFO: [Train][Epoch 3/200][Avg]CELoss: 5.15301, loss: 5.15301
[2021/12/20 18:15:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_3
[2021/12/20 18:15:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 18:15:20] root INFO: [Train][Epoch 4/200][Iter: 0/626]lr: 0.30016, CELoss: 4.55362, loss: 4.55362, batch_cost: 1.08035s, reader_cost: 0.19214, ips: 473.92120 images/sec, eta: 1 day, 13:00:30
[2021/12/20 18:15:48] root INFO: [Train][Epoch 4/200][Iter: 30/626]lr: 0.30495, CELoss: 4.88357, loss: 4.88357, batch_cost: 0.94723s, reader_cost: 0.26789, ips: 540.52541 images/sec, eta: 1 day, 8:26:25
[2021/12/20 18:16:18] root INFO: [Train][Epoch 4/200][Iter: 60/626]lr: 0.30974, CELoss: 4.88214, loss: 4.88214, batch_cost: 0.96926s, reader_cost: 0.16923, ips: 528.23756 images/sec, eta: 1 day, 9:11:13
[2021/12/20 18:16:48] root INFO: [Train][Epoch 4/200][Iter: 90/626]lr: 0.31454, CELoss: 4.89796, loss: 4.89796, batch_cost: 0.97368s, reader_cost: 0.12531, ips: 525.84031 images/sec, eta: 1 day, 9:19:48
[2021/12/20 18:17:19] root INFO: [Train][Epoch 4/200][Iter: 120/626]lr: 0.31933, CELoss: 4.90699, loss: 4.90699, batch_cost: 0.98924s, reader_cost: 0.09519, ips: 517.56821 images/sec, eta: 1 day, 9:51:16
[2021/12/20 18:17:46] root INFO: [Train][Epoch 4/200][Iter: 150/626]lr: 0.32412, CELoss: 4.85829, loss: 4.85829, batch_cost: 0.97420s, reader_cost: 0.07756, ips: 525.56024 images/sec, eta: 1 day, 9:19:53
[2021/12/20 18:18:15] root INFO: [Train][Epoch 4/200][Iter: 180/626]lr: 0.32891, CELoss: 4.86833, loss: 4.86833, batch_cost: 0.97232s, reader_cost: 0.09164, ips: 526.57480 images/sec, eta: 1 day, 9:15:33
[2021/12/20 18:18:43] root INFO: [Train][Epoch 4/200][Iter: 210/626]lr: 0.33371, CELoss: 4.86324, loss: 4.86324, batch_cost: 0.96817s, reader_cost: 0.11298, ips: 528.83522 images/sec, eta: 1 day, 9:06:32
[2021/12/20 18:19:13] root INFO: [Train][Epoch 4/200][Iter: 240/626]lr: 0.33850, CELoss: 4.85588, loss: 4.85588, batch_cost: 0.97022s, reader_cost: 0.11000, ips: 527.71676 images/sec, eta: 1 day, 9:10:16
[2021/12/20 18:19:42] root INFO: [Train][Epoch 4/200][Iter: 270/626]lr: 0.34329, CELoss: 4.85569, loss: 4.85569, batch_cost: 0.97139s, reader_cost: 0.10162, ips: 527.07860 images/sec, eta: 1 day, 9:12:11
[2021/12/20 18:20:12] root INFO: [Train][Epoch 4/200][Iter: 300/626]lr: 0.34808, CELoss: 4.84696, loss: 4.84696, batch_cost: 0.97272s, reader_cost: 0.09456, ips: 526.35676 images/sec, eta: 1 day, 9:14:26
[2021/12/20 18:20:43] root INFO: [Train][Epoch 4/200][Iter: 330/626]lr: 0.35288, CELoss: 4.84577, loss: 4.84577, batch_cost: 0.97779s, reader_cost: 0.08726, ips: 523.62739 images/sec, eta: 1 day, 9:24:20
[2021/12/20 18:21:12] root INFO: [Train][Epoch 4/200][Iter: 360/626]lr: 0.35767, CELoss: 4.83711, loss: 4.83711, batch_cost: 0.97726s, reader_cost: 0.08318, ips: 523.91287 images/sec, eta: 1 day, 9:22:46
[2021/12/20 18:21:43] root INFO: [Train][Epoch 4/200][Iter: 390/626]lr: 0.36246, CELoss: 4.83479, loss: 4.83479, batch_cost: 0.98123s, reader_cost: 0.07903, ips: 521.79147 images/sec, eta: 1 day, 9:30:25
[2021/12/20 18:22:13] root INFO: [Train][Epoch 4/200][Iter: 420/626]lr: 0.36725, CELoss: 4.83148, loss: 4.83148, batch_cost: 0.98357s, reader_cost: 0.07612, ips: 520.55015 images/sec, eta: 1 day, 9:34:43
[2021/12/20 18:22:45] root INFO: [Train][Epoch 4/200][Iter: 450/626]lr: 0.37204, CELoss: 4.82437, loss: 4.82437, batch_cost: 0.98804s, reader_cost: 0.07483, ips: 518.19572 images/sec, eta: 1 day, 9:43:22
[2021/12/20 18:23:16] root INFO: [Train][Epoch 4/200][Iter: 480/626]lr: 0.37684, CELoss: 4.83838, loss: 4.83838, batch_cost: 0.99223s, reader_cost: 0.07277, ips: 516.01192 images/sec, eta: 1 day, 9:51:26
[2021/12/20 18:23:49] root INFO: [Train][Epoch 4/200][Iter: 510/626]lr: 0.38163, CELoss: 4.85506, loss: 4.85506, batch_cost: 0.99767s, reader_cost: 0.07135, ips: 513.19561 images/sec, eta: 1 day, 10:02:05
[2021/12/20 18:24:20] root INFO: [Train][Epoch 4/200][Iter: 540/626]lr: 0.38642, CELoss: 4.83637, loss: 4.83637, batch_cost: 1.00083s, reader_cost: 0.08273, ips: 511.57656 images/sec, eta: 1 day, 10:08:03
[2021/12/20 18:24:52] root INFO: [Train][Epoch 4/200][Iter: 570/626]lr: 0.39121, CELoss: 4.82165, loss: 4.82165, batch_cost: 1.00424s, reader_cost: 0.09115, ips: 509.83881 images/sec, eta: 1 day, 10:14:32
[2021/12/20 18:25:26] root INFO: [Train][Epoch 4/200][Iter: 600/626]lr: 0.39601, CELoss: 4.81400, loss: 4.81400, batch_cost: 1.01096s, reader_cost: 0.09738, ips: 506.45128 images/sec, eta: 1 day, 10:27:46
[2021/12/20 18:25:53] root INFO: [Train][Epoch 4/200][Avg]CELoss: 4.81085, loss: 4.81085
[2021/12/20 18:25:53] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_4
[2021/12/20 18:25:53] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 18:25:58] root INFO: [Train][Epoch 5/200][Iter: 0/626]lr: 0.40016, CELoss: 4.23673, loss: 4.23673, batch_cost: 1.01930s, reader_cost: 0.11362, ips: 502.30622 images/sec, eta: 1 day, 10:44:23
[2021/12/20 18:26:28] root INFO: [Train][Epoch 5/200][Iter: 30/626]lr: 0.40495, CELoss: 4.57639, loss: 4.57639, batch_cost: 0.98631s, reader_cost: 0.13056, ips: 519.10577 images/sec, eta: 1 day, 9:36:26
[2021/12/20 18:26:57] root INFO: [Train][Epoch 5/200][Iter: 60/626]lr: 0.40974, CELoss: 4.69766, loss: 4.69766, batch_cost: 0.97447s, reader_cost: 0.06494, ips: 525.41140 images/sec, eta: 1 day, 9:11:45
[2021/12/20 18:27:28] root INFO: [Train][Epoch 5/200][Iter: 90/626]lr: 0.41454, CELoss: 4.69521, loss: 4.69521, batch_cost: 0.99461s, reader_cost: 0.04610, ips: 514.77257 images/sec, eta: 1 day, 9:52:25
[2021/12/20 18:27:57] root INFO: [Train][Epoch 5/200][Iter: 120/626]lr: 0.41933, CELoss: 4.68405, loss: 4.68405, batch_cost: 0.98461s, reader_cost: 0.03698, ips: 520.00285 images/sec, eta: 1 day, 9:31:29
[2021/12/20 18:28:26] root INFO: [Train][Epoch 5/200][Iter: 150/626]lr: 0.42412, CELoss: 4.67072, loss: 4.67072, batch_cost: 0.98432s, reader_cost: 0.03144, ips: 520.15764 images/sec, eta: 1 day, 9:30:24
[2021/12/20 18:28:54] root INFO: [Train][Epoch 5/200][Iter: 180/626]lr: 0.42891, CELoss: 4.63502, loss: 4.63502, batch_cost: 0.97435s, reader_cost: 0.02760, ips: 525.47595 images/sec, eta: 1 day, 9:09:34
[2021/12/20 18:29:26] root INFO: [Train][Epoch 5/200][Iter: 210/626]lr: 0.43371, CELoss: 4.63111, loss: 4.63111, batch_cost: 0.98463s, reader_cost: 0.02523, ips: 519.98993 images/sec, eta: 1 day, 9:30:03
[2021/12/20 18:29:54] root INFO: [Train][Epoch 5/200][Iter: 240/626]lr: 0.43850, CELoss: 4.63437, loss: 4.63437, batch_cost: 0.98217s, reader_cost: 0.02350, ips: 521.29682 images/sec, eta: 1 day, 9:24:32
[2021/12/20 18:30:25] root INFO: [Train][Epoch 5/200][Iter: 270/626]lr: 0.44329, CELoss: 4.62352, loss: 4.62352, batch_cost: 0.98537s, reader_cost: 0.02207, ips: 519.60051 images/sec, eta: 1 day, 9:30:35
[2021/12/20 18:30:54] root INFO: [Train][Epoch 5/200][Iter: 300/626]lr: 0.44808, CELoss: 4.59573, loss: 4.59573, batch_cost: 0.98308s, reader_cost: 0.02079, ips: 520.81438 images/sec, eta: 1 day, 9:25:24
[2021/12/20 18:31:24] root INFO: [Train][Epoch 5/200][Iter: 330/626]lr: 0.45288, CELoss: 4.58294, loss: 4.58294, batch_cost: 0.98709s, reader_cost: 0.01997, ips: 518.69488 images/sec, eta: 1 day, 9:33:06
[2021/12/20 18:31:53] root INFO: [Train][Epoch 5/200][Iter: 360/626]lr: 0.45767, CELoss: 4.57819, loss: 4.57819, batch_cost: 0.98529s, reader_cost: 0.01901, ips: 519.64618 images/sec, eta: 1 day, 9:28:55
[2021/12/20 18:32:25] root INFO: [Train][Epoch 5/200][Iter: 390/626]lr: 0.46246, CELoss: 4.57077, loss: 4.57077, batch_cost: 0.99009s, reader_cost: 0.01840, ips: 517.12413 images/sec, eta: 1 day, 9:38:14
[2021/12/20 18:32:54] root INFO: [Train][Epoch 5/200][Iter: 420/626]lr: 0.46725, CELoss: 4.57434, loss: 4.57434, batch_cost: 0.98825s, reader_cost: 0.01796, ips: 518.08778 images/sec, eta: 1 day, 9:33:59
[2021/12/20 18:33:25] root INFO: [Train][Epoch 5/200][Iter: 450/626]lr: 0.47204, CELoss: 4.55837, loss: 4.55837, batch_cost: 0.99092s, reader_cost: 0.01744, ips: 516.69339 images/sec, eta: 1 day, 9:38:55
[2021/12/20 18:33:54] root INFO: [Train][Epoch 5/200][Iter: 480/626]lr: 0.47684, CELoss: 4.54368, loss: 4.54368, batch_cost: 0.98950s, reader_cost: 0.01700, ips: 517.43117 images/sec, eta: 1 day, 9:35:33
[2021/12/20 18:34:26] root INFO: [Train][Epoch 5/200][Iter: 510/626]lr: 0.48163, CELoss: 4.53915, loss: 4.53915, batch_cost: 0.99478s, reader_cost: 0.01655, ips: 514.68919 images/sec, eta: 1 day, 9:45:47
[2021/12/20 18:34:56] root INFO: [Train][Epoch 5/200][Iter: 540/626]lr: 0.48642, CELoss: 4.54483, loss: 4.54483, batch_cost: 0.99522s, reader_cost: 0.01628, ips: 514.45841 images/sec, eta: 1 day, 9:46:12
[2021/12/20 18:35:28] root INFO: [Train][Epoch 5/200][Iter: 570/626]lr: 0.49121, CELoss: 4.55456, loss: 4.55456, batch_cost: 0.99869s, reader_cost: 0.01605, ips: 512.67285 images/sec, eta: 1 day, 9:52:45
[2021/12/20 18:35:56] root INFO: [Train][Epoch 5/200][Iter: 600/626]lr: 0.49601, CELoss: 4.54705, loss: 4.54705, batch_cost: 0.99627s, reader_cost: 0.01571, ips: 513.91556 images/sec, eta: 1 day, 9:47:20
[2021/12/20 18:36:21] root INFO: [Train][Epoch 5/200][Avg]CELoss: 4.54577, loss: 4.54577
[2021/12/20 18:36:30] root INFO: [Eval][Epoch 5][Iter: 0/25]CELoss: 3.61512, loss: 3.61512, top1: 0.30029, batch_cost: 8.80291s, reader_cost: 8.30633, ips: 58.16257 images/sec
[2021/12/20 18:37:12] root INFO: [Eval][Epoch 5][Avg]CELoss: 3.66019, loss: 3.66019, top1: 0.30420
[2021/12/20 18:37:12] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 18:37:12] root INFO: [Eval][Epoch 5][best metric: 0.30419999980926515]
[2021/12/20 18:37:12] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_5
[2021/12/20 18:37:12] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 18:37:18] root INFO: [Train][Epoch 6/200][Iter: 0/626]lr: 0.50000, CELoss: 3.96139, loss: 3.96139, batch_cost: 1.00300s, reader_cost: 0.02327, ips: 510.46981 images/sec, eta: 1 day, 10:00:35
[2021/12/20 18:37:49] root INFO: [Train][Epoch 6/200][Iter: 30/626]lr: 0.50000, CELoss: 4.50207, loss: 4.50207, batch_cost: 1.02059s, reader_cost: 0.23726, ips: 501.67239 images/sec, eta: 1 day, 10:35:52
[2021/12/20 18:38:18] root INFO: [Train][Epoch 6/200][Iter: 60/626]lr: 0.50000, CELoss: 4.51819, loss: 4.51819, batch_cost: 1.00638s, reader_cost: 0.11465, ips: 508.75164 images/sec, eta: 1 day, 10:06:29
[2021/12/20 18:38:50] root INFO: [Train][Epoch 6/200][Iter: 90/626]lr: 0.50000, CELoss: 4.48156, loss: 4.48156, batch_cost: 1.01799s, reader_cost: 0.07832, ips: 502.95171 images/sec, eta: 1 day, 10:29:34
[2021/12/20 18:39:19] root INFO: [Train][Epoch 6/200][Iter: 120/626]lr: 0.50000, CELoss: 4.46636, loss: 4.46636, batch_cost: 1.00447s, reader_cost: 0.06111, ips: 509.72184 images/sec, eta: 1 day, 10:01:35
[2021/12/20 18:39:49] root INFO: [Train][Epoch 6/200][Iter: 150/626]lr: 0.50000, CELoss: 4.46578, loss: 4.46578, batch_cost: 1.00705s, reader_cost: 0.05077, ips: 508.41660 images/sec, eta: 1 day, 10:06:19
[2021/12/20 18:40:19] root INFO: [Train][Epoch 6/200][Iter: 180/626]lr: 0.50000, CELoss: 4.47913, loss: 4.47913, batch_cost: 1.00293s, reader_cost: 0.04321, ips: 510.50629 images/sec, eta: 1 day, 9:57:26
[2021/12/20 18:40:50] root INFO: [Train][Epoch 6/200][Iter: 210/626]lr: 0.50000, CELoss: 4.45516, loss: 4.45516, batch_cost: 1.01079s, reader_cost: 0.03853, ips: 506.53565 images/sec, eta: 1 day, 10:12:54
[2021/12/20 18:41:19] root INFO: [Train][Epoch 6/200][Iter: 240/626]lr: 0.50000, CELoss: 4.45936, loss: 4.45936, batch_cost: 1.00498s, reader_cost: 0.03487, ips: 509.46461 images/sec, eta: 1 day, 10:00:36
[2021/12/20 18:41:50] root INFO: [Train][Epoch 6/200][Iter: 270/626]lr: 0.50000, CELoss: 4.43922, loss: 4.43922, batch_cost: 1.00878s, reader_cost: 0.03211, ips: 507.54612 images/sec, eta: 1 day, 10:07:48
[2021/12/20 18:42:20] root INFO: [Train][Epoch 6/200][Iter: 300/626]lr: 0.50000, CELoss: 4.44907, loss: 4.44907, batch_cost: 1.00584s, reader_cost: 0.03007, ips: 509.02650 images/sec, eta: 1 day, 10:01:21
[2021/12/20 18:42:50] root INFO: [Train][Epoch 6/200][Iter: 330/626]lr: 0.50000, CELoss: 4.44269, loss: 4.44269, batch_cost: 1.00636s, reader_cost: 0.02809, ips: 508.76596 images/sec, eta: 1 day, 10:01:53
[2021/12/20 18:43:19] root INFO: [Train][Epoch 6/200][Iter: 360/626]lr: 0.49999, CELoss: 4.45091, loss: 4.45091, batch_cost: 1.00346s, reader_cost: 0.02637, ips: 510.23404 images/sec, eta: 1 day, 9:55:31
[2021/12/20 18:43:51] root INFO: [Train][Epoch 6/200][Iter: 390/626]lr: 0.49999, CELoss: 4.46013, loss: 4.46013, batch_cost: 1.00828s, reader_cost: 0.02496, ips: 507.79581 images/sec, eta: 1 day, 10:04:47
[2021/12/20 18:44:21] root INFO: [Train][Epoch 6/200][Iter: 420/626]lr: 0.49999, CELoss: 4.45625, loss: 4.45625, batch_cost: 1.00717s, reader_cost: 0.02396, ips: 508.35380 images/sec, eta: 1 day, 10:02:02
[2021/12/20 18:44:55] root INFO: [Train][Epoch 6/200][Iter: 450/626]lr: 0.49999, CELoss: 4.45817, loss: 4.45817, batch_cost: 1.01458s, reader_cost: 0.02321, ips: 504.64322 images/sec, eta: 1 day, 10:16:32
[2021/12/20 18:45:25] root INFO: [Train][Epoch 6/200][Iter: 480/626]lr: 0.49999, CELoss: 4.45014, loss: 4.45014, batch_cost: 1.01393s, reader_cost: 0.02242, ips: 504.96582 images/sec, eta: 1 day, 10:14:43
[2021/12/20 18:45:56] root INFO: [Train][Epoch 6/200][Iter: 510/626]lr: 0.49999, CELoss: 4.43385, loss: 4.43385, batch_cost: 1.01509s, reader_cost: 0.02160, ips: 504.38778 images/sec, eta: 1 day, 10:16:34
[2021/12/20 18:46:27] root INFO: [Train][Epoch 6/200][Iter: 540/626]lr: 0.49999, CELoss: 4.43312, loss: 4.43312, batch_cost: 1.01660s, reader_cost: 0.02097, ips: 503.63971 images/sec, eta: 1 day, 10:19:07
[2021/12/20 18:47:00] root INFO: [Train][Epoch 6/200][Iter: 570/626]lr: 0.49999, CELoss: 4.43794, loss: 4.43794, batch_cost: 1.02060s, reader_cost: 0.02028, ips: 501.66721 images/sec, eta: 1 day, 10:26:42
[2021/12/20 18:47:30] root INFO: [Train][Epoch 6/200][Iter: 600/626]lr: 0.49999, CELoss: 4.42961, loss: 4.42961, batch_cost: 1.02019s, reader_cost: 0.01981, ips: 501.86588 images/sec, eta: 1 day, 10:25:22
[2021/12/20 18:47:57] root INFO: [Train][Epoch 6/200][Avg]CELoss: 4.42386, loss: 4.42386
[2021/12/20 18:47:57] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_6
[2021/12/20 18:47:57] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 18:48:02] root INFO: [Train][Epoch 7/200][Iter: 0/626]lr: 0.49998, CELoss: 3.70438, loss: 3.70438, batch_cost: 1.02852s, reader_cost: 0.02700, ips: 497.80352 images/sec, eta: 1 day, 10:41:47
[2021/12/20 18:48:33] root INFO: [Train][Epoch 7/200][Iter: 30/626]lr: 0.49998, CELoss: 4.20388, loss: 4.20388, batch_cost: 1.01139s, reader_cost: 0.45673, ips: 506.23312 images/sec, eta: 1 day, 10:06:37
[2021/12/20 18:49:04] root INFO: [Train][Epoch 7/200][Iter: 60/626]lr: 0.49998, CELoss: 4.16718, loss: 4.16718, batch_cost: 1.02440s, reader_cost: 0.44648, ips: 499.80375 images/sec, eta: 1 day, 10:32:26
[2021/12/20 18:49:33] root INFO: [Train][Epoch 7/200][Iter: 90/626]lr: 0.49998, CELoss: 4.21899, loss: 4.21899, batch_cost: 1.00429s, reader_cost: 0.34077, ips: 509.81512 images/sec, eta: 1 day, 9:51:14
[2021/12/20 18:50:03] root INFO: [Train][Epoch 7/200][Iter: 120/626]lr: 0.49998, CELoss: 4.22310, loss: 4.22310, batch_cost: 1.00927s, reader_cost: 0.25484, ips: 507.29746 images/sec, eta: 1 day, 10:00:48
[2021/12/20 18:50:32] root INFO: [Train][Epoch 7/200][Iter: 150/626]lr: 0.49998, CELoss: 4.20474, loss: 4.20474, batch_cost: 0.99591s, reader_cost: 0.20420, ips: 514.10050 images/sec, eta: 1 day, 9:33:18
[2021/12/20 18:51:02] root INFO: [Train][Epoch 7/200][Iter: 180/626]lr: 0.49997, CELoss: 4.18936, loss: 4.18936, batch_cost: 0.99635s, reader_cost: 0.17339, ips: 513.87517 images/sec, eta: 1 day, 9:33:41
[2021/12/20 18:51:31] root INFO: [Train][Epoch 7/200][Iter: 210/626]lr: 0.49997, CELoss: 4.18920, loss: 4.18920, batch_cost: 0.99335s, reader_cost: 0.15019, ips: 515.42561 images/sec, eta: 1 day, 9:27:08
[2021/12/20 18:52:01] root INFO: [Train][Epoch 7/200][Iter: 240/626]lr: 0.49997, CELoss: 4.20402, loss: 4.20402, batch_cost: 0.99502s, reader_cost: 0.13214, ips: 514.56018 images/sec, eta: 1 day, 9:30:00
[2021/12/20 18:52:31] root INFO: [Train][Epoch 7/200][Iter: 270/626]lr: 0.49997, CELoss: 4.18673, loss: 4.18673, batch_cost: 0.99658s, reader_cost: 0.11828, ips: 513.75809 images/sec, eta: 1 day, 9:32:39
[2021/12/20 18:53:01] root INFO: [Train][Epoch 7/200][Iter: 300/626]lr: 0.49996, CELoss: 4.19231, loss: 4.19231, batch_cost: 0.99458s, reader_cost: 0.10712, ips: 514.78818 images/sec, eta: 1 day, 9:28:07
[2021/12/20 18:53:32] root INFO: [Train][Epoch 7/200][Iter: 330/626]lr: 0.49996, CELoss: 4.18823, loss: 4.18823, batch_cost: 0.99786s, reader_cost: 0.09845, ips: 513.09601 images/sec, eta: 1 day, 9:34:15
[2021/12/20 18:54:01] root INFO: [Train][Epoch 7/200][Iter: 360/626]lr: 0.49996, CELoss: 4.17787, loss: 4.17787, batch_cost: 0.99750s, reader_cost: 0.09108, ips: 513.28481 images/sec, eta: 1 day, 9:33:00
[2021/12/20 18:54:32] root INFO: [Train][Epoch 7/200][Iter: 390/626]lr: 0.49996, CELoss: 4.17928, loss: 4.17928, batch_cost: 0.99821s, reader_cost: 0.08466, ips: 512.91931 images/sec, eta: 1 day, 9:33:57
[2021/12/20 18:55:03] root INFO: [Train][Epoch 7/200][Iter: 420/626]lr: 0.49995, CELoss: 4.17871, loss: 4.17871, batch_cost: 1.00144s, reader_cost: 0.07945, ips: 511.26443 images/sec, eta: 1 day, 9:39:58
[2021/12/20 18:55:35] root INFO: [Train][Epoch 7/200][Iter: 450/626]lr: 0.49995, CELoss: 4.18086, loss: 4.18086, batch_cost: 1.00512s, reader_cost: 0.07488, ips: 509.39211 images/sec, eta: 1 day, 9:46:53
[2021/12/20 18:56:04] root INFO: [Train][Epoch 7/200][Iter: 480/626]lr: 0.49995, CELoss: 4.17956, loss: 4.17956, batch_cost: 1.00370s, reader_cost: 0.07080, ips: 510.11226 images/sec, eta: 1 day, 9:43:31
[2021/12/20 18:56:36] root INFO: [Train][Epoch 7/200][Iter: 510/626]lr: 0.49995, CELoss: 4.18835, loss: 4.18835, batch_cost: 1.00650s, reader_cost: 0.06695, ips: 508.69371 images/sec, eta: 1 day, 9:48:40
[2021/12/20 18:57:06] root INFO: [Train][Epoch 7/200][Iter: 540/626]lr: 0.49994, CELoss: 4.19563, loss: 4.19563, batch_cost: 1.00635s, reader_cost: 0.06359, ips: 508.76986 images/sec, eta: 1 day, 9:47:51
[2021/12/20 18:57:38] root INFO: [Train][Epoch 7/200][Iter: 570/626]lr: 0.49994, CELoss: 4.18289, loss: 4.18289, batch_cost: 1.01048s, reader_cost: 0.06061, ips: 506.68884 images/sec, eta: 1 day, 9:55:41
[2021/12/20 18:58:09] root INFO: [Train][Epoch 7/200][Iter: 600/626]lr: 0.49994, CELoss: 4.18632, loss: 4.18632, batch_cost: 1.01111s, reader_cost: 0.05788, ips: 506.37334 images/sec, eta: 1 day, 9:56:26
[2021/12/20 18:58:34] root INFO: [Train][Epoch 7/200][Avg]CELoss: 4.18362, loss: 4.18362
[2021/12/20 18:58:34] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_7
[2021/12/20 18:58:34] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 18:58:39] root INFO: [Train][Epoch 8/200][Iter: 0/626]lr: 0.49994, CELoss: 3.61011, loss: 3.61011, batch_cost: 1.01690s, reader_cost: 0.06329, ips: 503.49188 images/sec, eta: 1 day, 10:07:39
[2021/12/20 18:59:09] root INFO: [Train][Epoch 8/200][Iter: 30/626]lr: 0.49993, CELoss: 4.19620, loss: 4.19620, batch_cost: 0.96395s, reader_cost: 0.22986, ips: 531.15041 images/sec, eta: 1 day, 8:20:33
[2021/12/20 18:59:37] root INFO: [Train][Epoch 8/200][Iter: 60/626]lr: 0.49993, CELoss: 4.13711, loss: 4.13711, batch_cost: 0.95839s, reader_cost: 0.15689, ips: 534.22987 images/sec, eta: 1 day, 8:08:53
[2021/12/20 19:00:06] root INFO: [Train][Epoch 8/200][Iter: 90/626]lr: 0.49993, CELoss: 4.12492, loss: 4.12492, batch_cost: 0.96127s, reader_cost: 0.13971, ips: 532.62963 images/sec, eta: 1 day, 8:14:12
[2021/12/20 19:00:38] root INFO: [Train][Epoch 8/200][Iter: 120/626]lr: 0.49992, CELoss: 4.06711, loss: 4.06711, batch_cost: 0.99091s, reader_cost: 0.10882, ips: 516.69640 images/sec, eta: 1 day, 9:13:20
[2021/12/20 19:01:07] root INFO: [Train][Epoch 8/200][Iter: 150/626]lr: 0.49992, CELoss: 4.10092, loss: 4.10092, batch_cost: 0.98213s, reader_cost: 0.08825, ips: 521.31439 images/sec, eta: 1 day, 8:55:12
[2021/12/20 19:01:37] root INFO: [Train][Epoch 8/200][Iter: 180/626]lr: 0.49992, CELoss: 4.09573, loss: 4.09573, batch_cost: 0.98530s, reader_cost: 0.07423, ips: 519.64112 images/sec, eta: 1 day, 9:01:04
[2021/12/20 19:02:06] root INFO: [Train][Epoch 8/200][Iter: 210/626]lr: 0.49991, CELoss: 4.10083, loss: 4.10083, batch_cost: 0.98177s, reader_cost: 0.06485, ips: 521.50692 images/sec, eta: 1 day, 8:53:29
[2021/12/20 19:02:36] root INFO: [Train][Epoch 8/200][Iter: 240/626]lr: 0.49991, CELoss: 4.13189, loss: 4.13189, batch_cost: 0.98569s, reader_cost: 0.05777, ips: 519.43215 images/sec, eta: 1 day, 9:00:52
[2021/12/20 19:03:04] root INFO: [Train][Epoch 8/200][Iter: 270/626]lr: 0.49990, CELoss: 4.14314, loss: 4.14314, batch_cost: 0.97865s, reader_cost: 0.05206, ips: 523.17133 images/sec, eta: 1 day, 8:46:13
[2021/12/20 19:03:34] root INFO: [Train][Epoch 8/200][Iter: 300/626]lr: 0.49990, CELoss: 4.13694, loss: 4.13694, batch_cost: 0.98011s, reader_cost: 0.04756, ips: 522.38870 images/sec, eta: 1 day, 8:48:41
[2021/12/20 19:04:02] root INFO: [Train][Epoch 8/200][Iter: 330/626]lr: 0.49990, CELoss: 4.12180, loss: 4.12180, batch_cost: 0.97791s, reader_cost: 0.04379, ips: 523.56432 images/sec, eta: 1 day, 8:43:46
[2021/12/20 19:04:34] root INFO: [Train][Epoch 8/200][Iter: 360/626]lr: 0.49989, CELoss: 4.11303, loss: 4.11303, batch_cost: 0.98334s, reader_cost: 0.04076, ips: 520.67605 images/sec, eta: 1 day, 8:54:10
[2021/12/20 19:05:03] root INFO: [Train][Epoch 8/200][Iter: 390/626]lr: 0.49989, CELoss: 4.11614, loss: 4.11614, batch_cost: 0.98408s, reader_cost: 0.03838, ips: 520.28144 images/sec, eta: 1 day, 8:55:11
[2021/12/20 19:05:34] root INFO: [Train][Epoch 8/200][Iter: 420/626]lr: 0.49988, CELoss: 4.12119, loss: 4.12119, batch_cost: 0.98737s, reader_cost: 0.03621, ips: 518.55061 images/sec, eta: 1 day, 9:01:17
[2021/12/20 19:06:03] root INFO: [Train][Epoch 8/200][Iter: 450/626]lr: 0.49988, CELoss: 4.10020, loss: 4.10020, batch_cost: 0.98625s, reader_cost: 0.03418, ips: 519.13676 images/sec, eta: 1 day, 8:58:33
[2021/12/20 19:06:33] root INFO: [Train][Epoch 8/200][Iter: 480/626]lr: 0.49988, CELoss: 4.08807, loss: 4.08807, batch_cost: 0.98612s, reader_cost: 0.03235, ips: 519.20914 images/sec, eta: 1 day, 8:57:47
[2021/12/20 19:07:03] root INFO: [Train][Epoch 8/200][Iter: 510/626]lr: 0.49987, CELoss: 4.07790, loss: 4.07790, batch_cost: 0.98758s, reader_cost: 0.03204, ips: 518.44090 images/sec, eta: 1 day, 9:00:13
[2021/12/20 19:07:35] root INFO: [Train][Epoch 8/200][Iter: 540/626]lr: 0.49987, CELoss: 4.07110, loss: 4.07110, batch_cost: 0.99096s, reader_cost: 0.03071, ips: 516.67175 images/sec, eta: 1 day, 9:06:30
[2021/12/20 19:08:04] root INFO: [Train][Epoch 8/200][Iter: 570/626]lr: 0.49986, CELoss: 4.06636, loss: 4.06636, batch_cost: 0.98966s, reader_cost: 0.03105, ips: 517.34748 images/sec, eta: 1 day, 9:03:25
[2021/12/20 19:08:34] root INFO: [Train][Epoch 8/200][Iter: 600/626]lr: 0.49986, CELoss: 4.05629, loss: 4.05629, batch_cost: 0.99140s, reader_cost: 0.03294, ips: 516.44158 images/sec, eta: 1 day, 9:06:24
[2021/12/20 19:08:59] root INFO: [Train][Epoch 8/200][Avg]CELoss: 4.05389, loss: 4.05389
[2021/12/20 19:08:59] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_8
[2021/12/20 19:09:00] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 19:09:05] root INFO: [Train][Epoch 9/200][Iter: 0/626]lr: 0.49985, CELoss: 3.45162, loss: 3.45162, batch_cost: 0.99761s, reader_cost: 0.04783, ips: 513.22550 images/sec, eta: 1 day, 9:18:25
[2021/12/20 19:09:33] root INFO: [Train][Epoch 9/200][Iter: 30/626]lr: 0.49985, CELoss: 3.90377, loss: 3.90377, batch_cost: 0.92802s, reader_cost: 0.29542, ips: 551.71252 images/sec, eta: 1 day, 6:58:32
[2021/12/20 19:10:03] root INFO: [Train][Epoch 9/200][Iter: 60/626]lr: 0.49984, CELoss: 3.97876, loss: 3.97876, batch_cost: 0.96163s, reader_cost: 0.28670, ips: 532.43135 images/sec, eta: 1 day, 8:05:22
[2021/12/20 19:10:31] root INFO: [Train][Epoch 9/200][Iter: 90/626]lr: 0.49984, CELoss: 4.02475, loss: 4.02475, batch_cost: 0.94987s, reader_cost: 0.23500, ips: 539.02211 images/sec, eta: 1 day, 7:41:21
[2021/12/20 19:11:01] root INFO: [Train][Epoch 9/200][Iter: 120/626]lr: 0.49983, CELoss: 4.04879, loss: 4.04879, batch_cost: 0.96395s, reader_cost: 0.18373, ips: 531.15032 images/sec, eta: 1 day, 8:09:02
[2021/12/20 19:11:30] root INFO: [Train][Epoch 9/200][Iter: 150/626]lr: 0.49983, CELoss: 4.03638, loss: 4.03638, batch_cost: 0.96582s, reader_cost: 0.14702, ips: 530.12135 images/sec, eta: 1 day, 8:12:18
[2021/12/20 19:12:00] root INFO: [Train][Epoch 9/200][Iter: 180/626]lr: 0.49982, CELoss: 3.99661, loss: 3.99661, batch_cost: 0.96989s, reader_cost: 0.12298, ips: 527.89684 images/sec, eta: 1 day, 8:19:58
[2021/12/20 19:12:28] root INFO: [Train][Epoch 9/200][Iter: 210/626]lr: 0.49982, CELoss: 3.98619, loss: 3.98619, batch_cost: 0.96518s, reader_cost: 0.10590, ips: 530.46949 images/sec, eta: 1 day, 8:10:04
[2021/12/20 19:12:58] root INFO: [Train][Epoch 9/200][Iter: 240/626]lr: 0.49981, CELoss: 3.97057, loss: 3.97057, batch_cost: 0.97044s, reader_cost: 0.09335, ips: 527.59659 images/sec, eta: 1 day, 8:20:06
[2021/12/20 19:13:26] root INFO: [Train][Epoch 9/200][Iter: 270/626]lr: 0.49981, CELoss: 3.99252, loss: 3.99252, batch_cost: 0.96582s, reader_cost: 0.08365, ips: 530.12050 images/sec, eta: 1 day, 8:10:22
[2021/12/20 19:13:56] root INFO: [Train][Epoch 9/200][Iter: 300/626]lr: 0.49980, CELoss: 3.99067, loss: 3.99067, batch_cost: 0.96999s, reader_cost: 0.07592, ips: 527.84195 images/sec, eta: 1 day, 8:18:13
[2021/12/20 19:14:24] root INFO: [Train][Epoch 9/200][Iter: 330/626]lr: 0.49980, CELoss: 3.97200, loss: 3.97200, batch_cost: 0.96721s, reader_cost: 0.08002, ips: 529.35593 images/sec, eta: 1 day, 8:12:12
[2021/12/20 19:14:54] root INFO: [Train][Epoch 9/200][Iter: 360/626]lr: 0.49979, CELoss: 3.99794, loss: 3.99794, batch_cost: 0.97000s, reader_cost: 0.09383, ips: 527.83554 images/sec, eta: 1 day, 8:17:16
[2021/12/20 19:15:24] root INFO: [Train][Epoch 9/200][Iter: 390/626]lr: 0.49979, CELoss: 3.99291, loss: 3.99291, batch_cost: 0.97164s, reader_cost: 0.10536, ips: 526.94646 images/sec, eta: 1 day, 8:20:03
[2021/12/20 19:15:54] root INFO: [Train][Epoch 9/200][Iter: 420/626]lr: 0.49978, CELoss: 3.98345, loss: 3.98345, batch_cost: 0.97432s, reader_cost: 0.12973, ips: 525.49456 images/sec, eta: 1 day, 8:24:56
[2021/12/20 19:16:23] root INFO: [Train][Epoch 9/200][Iter: 450/626]lr: 0.49978, CELoss: 3.97951, loss: 3.97951, batch_cost: 0.97339s, reader_cost: 0.14849, ips: 525.99549 images/sec, eta: 1 day, 8:22:35
[2021/12/20 19:16:54] root INFO: [Train][Epoch 9/200][Iter: 480/626]lr: 0.49977, CELoss: 3.98006, loss: 3.98006, batch_cost: 0.97656s, reader_cost: 0.16816, ips: 524.29033 images/sec, eta: 1 day, 8:28:25
[2021/12/20 19:17:23] root INFO: [Train][Epoch 9/200][Iter: 510/626]lr: 0.49976, CELoss: 3.97218, loss: 3.97218, batch_cost: 0.97668s, reader_cost: 0.18297, ips: 524.22397 images/sec, eta: 1 day, 8:28:11
[2021/12/20 19:17:55] root INFO: [Train][Epoch 9/200][Iter: 540/626]lr: 0.49976, CELoss: 3.99040, loss: 3.99040, batch_cost: 0.98159s, reader_cost: 0.19258, ips: 521.60149 images/sec, eta: 1 day, 8:37:29
[2021/12/20 19:18:26] root INFO: [Train][Epoch 9/200][Iter: 570/626]lr: 0.49975, CELoss: 3.98016, loss: 3.98016, batch_cost: 0.98486s, reader_cost: 0.20095, ips: 519.86839 images/sec, eta: 1 day, 8:43:31
[2021/12/20 19:18:58] root INFO: [Train][Epoch 9/200][Iter: 600/626]lr: 0.49975, CELoss: 3.98574, loss: 3.98574, batch_cost: 0.98838s, reader_cost: 0.21647, ips: 518.02145 images/sec, eta: 1 day, 8:50:01
[2021/12/20 19:19:23] root INFO: [Train][Epoch 9/200][Avg]CELoss: 3.98387, loss: 3.98387
[2021/12/20 19:19:23] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_9
[2021/12/20 19:19:23] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 19:19:29] root INFO: [Train][Epoch 10/200][Iter: 0/626]lr: 0.49974, CELoss: 3.29060, loss: 3.29060, batch_cost: 0.99594s, reader_cost: 0.23405, ips: 514.08928 images/sec, eta: 1 day, 9:04:40
[2021/12/20 19:19:58] root INFO: [Train][Epoch 10/200][Iter: 30/626]lr: 0.49973, CELoss: 4.02839, loss: 4.02839, batch_cost: 0.97353s, reader_cost: 0.24312, ips: 525.92007 images/sec, eta: 1 day, 8:19:32
[2021/12/20 19:20:28] root INFO: [Train][Epoch 10/200][Iter: 60/626]lr: 0.49973, CELoss: 3.92485, loss: 3.92485, batch_cost: 0.98137s, reader_cost: 0.22888, ips: 521.72134 images/sec, eta: 1 day, 8:34:39
[2021/12/20 19:20:56] root INFO: [Train][Epoch 10/200][Iter: 90/626]lr: 0.49972, CELoss: 3.91788, loss: 3.91788, batch_cost: 0.97383s, reader_cost: 0.17915, ips: 525.76019 images/sec, eta: 1 day, 8:19:09
[2021/12/20 19:21:27] root INFO: [Train][Epoch 10/200][Iter: 120/626]lr: 0.49971, CELoss: 3.94797, loss: 3.94797, batch_cost: 0.98323s, reader_cost: 0.15149, ips: 520.73007 images/sec, eta: 1 day, 8:37:23
[2021/12/20 19:21:56] root INFO: [Train][Epoch 10/200][Iter: 150/626]lr: 0.49971, CELoss: 3.94492, loss: 3.94492, batch_cost: 0.98223s, reader_cost: 0.16637, ips: 521.26057 images/sec, eta: 1 day, 8:34:54
[2021/12/20 19:22:25] root INFO: [Train][Epoch 10/200][Iter: 180/626]lr: 0.49970, CELoss: 3.89179, loss: 3.89179, batch_cost: 0.97886s, reader_cost: 0.17475, ips: 523.05707 images/sec, eta: 1 day, 8:27:42
[2021/12/20 19:22:56] root INFO: [Train][Epoch 10/200][Iter: 210/626]lr: 0.49969, CELoss: 3.85829, loss: 3.85829, batch_cost: 0.98524s, reader_cost: 0.20540, ips: 519.67192 images/sec, eta: 1 day, 8:39:53
[2021/12/20 19:23:26] root INFO: [Train][Epoch 10/200][Iter: 240/626]lr: 0.49969, CELoss: 3.87937, loss: 3.87937, batch_cost: 0.98685s, reader_cost: 0.21344, ips: 518.82311 images/sec, eta: 1 day, 8:42:36
[2021/12/20 19:23:56] root INFO: [Train][Epoch 10/200][Iter: 270/626]lr: 0.49968, CELoss: 3.87293, loss: 3.87293, batch_cost: 0.98883s, reader_cost: 0.22399, ips: 517.78399 images/sec, eta: 1 day, 8:46:03
[2021/12/20 19:24:26] root INFO: [Train][Epoch 10/200][Iter: 300/626]lr: 0.49967, CELoss: 3.88124, loss: 3.88124, batch_cost: 0.98982s, reader_cost: 0.23134, ips: 517.26710 images/sec, eta: 1 day, 8:47:31
[2021/12/20 19:24:57] root INFO: [Train][Epoch 10/200][Iter: 330/626]lr: 0.49967, CELoss: 3.87729, loss: 3.87729, batch_cost: 0.99502s, reader_cost: 0.24957, ips: 514.56220 images/sec, eta: 1 day, 8:57:22
[2021/12/20 19:25:27] root INFO: [Train][Epoch 10/200][Iter: 360/626]lr: 0.49966, CELoss: 3.87999, loss: 3.87999, batch_cost: 0.99521s, reader_cost: 0.26545, ips: 514.46274 images/sec, eta: 1 day, 8:57:15
[2021/12/20 19:25:59] root INFO: [Train][Epoch 10/200][Iter: 390/626]lr: 0.49965, CELoss: 3.86873, loss: 3.86873, batch_cost: 1.00058s, reader_cost: 0.28705, ips: 511.70345 images/sec, eta: 1 day, 9:07:25
[2021/12/20 19:26:29] root INFO: [Train][Epoch 10/200][Iter: 420/626]lr: 0.49965, CELoss: 3.88023, loss: 3.88023, batch_cost: 1.00208s, reader_cost: 0.29588, ips: 510.93822 images/sec, eta: 1 day, 9:09:53
[2021/12/20 19:27:00] root INFO: [Train][Epoch 10/200][Iter: 450/626]lr: 0.49964, CELoss: 3.88610, loss: 3.88610, batch_cost: 1.00371s, reader_cost: 0.28446, ips: 510.10585 images/sec, eta: 1 day, 9:12:38
[2021/12/20 19:27:31] root INFO: [Train][Epoch 10/200][Iter: 480/626]lr: 0.49963, CELoss: 3.86769, loss: 3.86769, batch_cost: 1.00595s, reader_cost: 0.26712, ips: 508.97288 images/sec, eta: 1 day, 9:16:34
[2021/12/20 19:28:02] root INFO: [Train][Epoch 10/200][Iter: 510/626]lr: 0.49962, CELoss: 3.86344, loss: 3.86344, batch_cost: 1.00741s, reader_cost: 0.26776, ips: 508.23552 images/sec, eta: 1 day, 9:18:57
[2021/12/20 19:28:33] root INFO: [Train][Epoch 10/200][Iter: 540/626]lr: 0.49962, CELoss: 3.87760, loss: 3.87760, batch_cost: 1.00843s, reader_cost: 0.26714, ips: 507.72186 images/sec, eta: 1 day, 9:20:28
[2021/12/20 19:29:04] root INFO: [Train][Epoch 10/200][Iter: 570/626]lr: 0.49961, CELoss: 3.87640, loss: 3.87640, batch_cost: 1.00956s, reader_cost: 0.25643, ips: 507.15247 images/sec, eta: 1 day, 9:22:13
[2021/12/20 19:29:36] root INFO: [Train][Epoch 10/200][Iter: 600/626]lr: 0.49960, CELoss: 3.88095, loss: 3.88095, batch_cost: 1.01204s, reader_cost: 0.24890, ips: 505.90950 images/sec, eta: 1 day, 9:26:38
[2021/12/20 19:30:02] root INFO: [Train][Epoch 10/200][Avg]CELoss: 3.87479, loss: 3.87479
[2021/12/20 19:30:11] root INFO: [Eval][Epoch 10][Iter: 0/25]CELoss: 2.53654, loss: 2.53654, top1: 0.45264, batch_cost: 9.65846s, reader_cost: 8.60849, ips: 53.01052 images/sec
[2021/12/20 19:30:59] root INFO: [Eval][Epoch 10][Avg]CELoss: 2.73175, loss: 2.73175, top1: 0.46240
[2021/12/20 19:30:59] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 19:30:59] root INFO: [Eval][Epoch 10][best metric: 0.4623999999809265]
[2021/12/20 19:30:59] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_10
[2021/12/20 19:30:59] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 19:31:04] root INFO: [Train][Epoch 11/200][Iter: 0/626]lr: 0.49959, CELoss: 3.11967, loss: 3.11967, batch_cost: 1.01974s, reader_cost: 0.26200, ips: 502.08929 images/sec, eta: 1 day, 9:41:27
[2021/12/20 19:31:34] root INFO: [Train][Epoch 11/200][Iter: 30/626]lr: 0.49959, CELoss: 3.78693, loss: 3.78693, batch_cost: 1.00540s, reader_cost: 0.41705, ips: 509.24774 images/sec, eta: 1 day, 9:12:32
[2021/12/20 19:32:05] root INFO: [Train][Epoch 11/200][Iter: 60/626]lr: 0.49958, CELoss: 3.92807, loss: 3.92807, batch_cost: 1.01899s, reader_cost: 0.27529, ips: 502.45612 images/sec, eta: 1 day, 9:38:58
[2021/12/20 19:32:34] root INFO: [Train][Epoch 11/200][Iter: 90/626]lr: 0.49957, CELoss: 3.90514, loss: 3.90514, batch_cost: 0.99684s, reader_cost: 0.19830, ips: 513.62480 images/sec, eta: 1 day, 8:54:34
[2021/12/20 19:33:04] root INFO: [Train][Epoch 11/200][Iter: 120/626]lr: 0.49956, CELoss: 3.89078, loss: 3.89078, batch_cost: 0.99649s, reader_cost: 0.15654, ips: 513.80478 images/sec, eta: 1 day, 8:53:22
[2021/12/20 19:33:34] root INFO: [Train][Epoch 11/200][Iter: 150/626]lr: 0.49955, CELoss: 3.86241, loss: 3.86241, batch_cost: 0.99594s, reader_cost: 0.12981, ips: 514.08633 images/sec, eta: 1 day, 8:51:47
[2021/12/20 19:34:03] root INFO: [Train][Epoch 11/200][Iter: 180/626]lr: 0.49955, CELoss: 3.87031, loss: 3.87031, batch_cost: 0.99281s, reader_cost: 0.10944, ips: 515.70572 images/sec, eta: 1 day, 8:45:06
[2021/12/20 19:34:35] root INFO: [Train][Epoch 11/200][Iter: 210/626]lr: 0.49954, CELoss: 3.85998, loss: 3.85998, batch_cost: 1.00370s, reader_cost: 0.09478, ips: 510.11012 images/sec, eta: 1 day, 9:06:09
[2021/12/20 19:35:04] root INFO: [Train][Epoch 11/200][Iter: 240/626]lr: 0.49953, CELoss: 3.86715, loss: 3.86715, batch_cost: 1.00015s, reader_cost: 0.08426, ips: 511.92275 images/sec, eta: 1 day, 8:58:37
[2021/12/20 19:35:36] root INFO: [Train][Epoch 11/200][Iter: 270/626]lr: 0.49952, CELoss: 3.85054, loss: 3.85054, batch_cost: 1.00447s, reader_cost: 0.07613, ips: 509.72180 images/sec, eta: 1 day, 9:06:40
[2021/12/20 19:36:04] root INFO: [Train][Epoch 11/200][Iter: 300/626]lr: 0.49951, CELoss: 3.87166, loss: 3.87166, batch_cost: 1.00053s, reader_cost: 0.06953, ips: 511.73004 images/sec, eta: 1 day, 8:58:22
[2021/12/20 19:36:36] root INFO: [Train][Epoch 11/200][Iter: 330/626]lr: 0.49950, CELoss: 3.86463, loss: 3.86463, batch_cost: 1.00621s, reader_cost: 0.06428, ips: 508.84072 images/sec, eta: 1 day, 9:09:06
[2021/12/20 19:37:06] root INFO: [Train][Epoch 11/200][Iter: 360/626]lr: 0.49950, CELoss: 3.85554, loss: 3.85554, batch_cost: 1.00554s, reader_cost: 0.06006, ips: 509.18043 images/sec, eta: 1 day, 9:07:16
[2021/12/20 19:37:39] root INFO: [Train][Epoch 11/200][Iter: 390/626]lr: 0.49949, CELoss: 3.86887, loss: 3.86887, batch_cost: 1.01331s, reader_cost: 0.05645, ips: 505.27432 images/sec, eta: 1 day, 9:22:08
[2021/12/20 19:38:10] root INFO: [Train][Epoch 11/200][Iter: 420/626]lr: 0.49948, CELoss: 3.86988, loss: 3.86988, batch_cost: 1.01411s, reader_cost: 0.05340, ips: 504.87840 images/sec, eta: 1 day, 9:23:11
[2021/12/20 19:38:41] root INFO: [Train][Epoch 11/200][Iter: 450/626]lr: 0.49947, CELoss: 3.87112, loss: 3.87112, batch_cost: 1.01581s, reader_cost: 0.05041, ips: 504.03153 images/sec, eta: 1 day, 9:26:03
[2021/12/20 19:39:11] root INFO: [Train][Epoch 11/200][Iter: 480/626]lr: 0.49946, CELoss: 3.87532, loss: 3.87532, batch_cost: 1.01418s, reader_cost: 0.04783, ips: 504.83902 images/sec, eta: 1 day, 9:22:20
[2021/12/20 19:39:44] root INFO: [Train][Epoch 11/200][Iter: 510/626]lr: 0.49945, CELoss: 3.86960, loss: 3.86960, batch_cost: 1.01866s, reader_cost: 0.04575, ips: 502.62211 images/sec, eta: 1 day, 9:30:39
[2021/12/20 19:40:14] root INFO: [Train][Epoch 11/200][Iter: 540/626]lr: 0.49944, CELoss: 3.86473, loss: 3.86473, batch_cost: 1.01854s, reader_cost: 0.04384, ips: 502.67884 images/sec, eta: 1 day, 9:29:55
[2021/12/20 19:40:47] root INFO: [Train][Epoch 11/200][Iter: 570/626]lr: 0.49943, CELoss: 3.86580, loss: 3.86580, batch_cost: 1.02196s, reader_cost: 0.04209, ips: 500.99584 images/sec, eta: 1 day, 9:36:09
[2021/12/20 19:41:18] root INFO: [Train][Epoch 11/200][Iter: 600/626]lr: 0.49942, CELoss: 3.86267, loss: 3.86267, batch_cost: 1.02247s, reader_cost: 0.04054, ips: 500.74745 images/sec, eta: 1 day, 9:36:39
[2021/12/20 19:41:45] root INFO: [Train][Epoch 11/200][Avg]CELoss: 3.84776, loss: 3.84776
[2021/12/20 19:41:45] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_11
[2021/12/20 19:41:45] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 19:41:51] root INFO: [Train][Epoch 12/200][Iter: 0/626]lr: 0.49942, CELoss: 4.17957, loss: 4.17957, batch_cost: 1.03222s, reader_cost: 0.04629, ips: 496.01702 images/sec, eta: 1 day, 9:55:26
[2021/12/20 19:42:20] root INFO: [Train][Epoch 12/200][Iter: 30/626]lr: 0.49941, CELoss: 3.69105, loss: 3.69105, batch_cost: 0.95784s, reader_cost: 0.40720, ips: 534.53421 images/sec, eta: 1 day, 7:28:17
[2021/12/20 19:42:50] root INFO: [Train][Epoch 12/200][Iter: 60/626]lr: 0.49940, CELoss: 3.68750, loss: 3.68750, batch_cost: 0.97922s, reader_cost: 0.42038, ips: 522.86477 images/sec, eta: 1 day, 8:09:56
[2021/12/20 19:43:20] root INFO: [Train][Epoch 12/200][Iter: 90/626]lr: 0.49939, CELoss: 3.72292, loss: 3.72292, batch_cost: 0.98824s, reader_cost: 0.39903, ips: 518.09285 images/sec, eta: 1 day, 8:27:13
[2021/12/20 19:43:48] root INFO: [Train][Epoch 12/200][Iter: 120/626]lr: 0.49938, CELoss: 3.76379, loss: 3.76379, batch_cost: 0.97742s, reader_cost: 0.40405, ips: 523.82972 images/sec, eta: 1 day, 8:05:24
[2021/12/20 19:44:19] root INFO: [Train][Epoch 12/200][Iter: 150/626]lr: 0.49937, CELoss: 3.78021, loss: 3.78021, batch_cost: 0.98833s, reader_cost: 0.42614, ips: 518.04319 images/sec, eta: 1 day, 8:26:25
[2021/12/20 19:44:48] root INFO: [Train][Epoch 12/200][Iter: 180/626]lr: 0.49936, CELoss: 3.83787, loss: 3.83787, batch_cost: 0.98565s, reader_cost: 0.42769, ips: 519.45244 images/sec, eta: 1 day, 8:20:39
[2021/12/20 19:45:19] root INFO: [Train][Epoch 12/200][Iter: 210/626]lr: 0.49935, CELoss: 3.86562, loss: 3.86562, batch_cost: 0.99173s, reader_cost: 0.43624, ips: 516.27043 images/sec, eta: 1 day, 8:32:07
[2021/12/20 19:45:49] root INFO: [Train][Epoch 12/200][Iter: 240/626]lr: 0.49934, CELoss: 3.86620, loss: 3.86620, batch_cost: 0.99065s, reader_cost: 0.43681, ips: 516.83474 images/sec, eta: 1 day, 8:29:29
[2021/12/20 19:46:20] root INFO: [Train][Epoch 12/200][Iter: 270/626]lr: 0.49933, CELoss: 3.84696, loss: 3.84696, batch_cost: 0.99515s, reader_cost: 0.44246, ips: 514.49529 images/sec, eta: 1 day, 8:37:51
[2021/12/20 19:46:50] root INFO: [Train][Epoch 12/200][Iter: 300/626]lr: 0.49932, CELoss: 3.85370, loss: 3.85370, batch_cost: 0.99760s, reader_cost: 0.44593, ips: 513.22935 images/sec, eta: 1 day, 8:42:11
[2021/12/20 19:47:21] root INFO: [Train][Epoch 12/200][Iter: 330/626]lr: 0.49931, CELoss: 3.85408, loss: 3.85408, batch_cost: 1.00155s, reader_cost: 0.45258, ips: 511.20962 images/sec, eta: 1 day, 8:49:26
[2021/12/20 19:47:50] root INFO: [Train][Epoch 12/200][Iter: 360/626]lr: 0.49930, CELoss: 3.83847, loss: 3.83847, batch_cost: 0.99732s, reader_cost: 0.44920, ips: 513.37405 images/sec, eta: 1 day, 8:40:38
[2021/12/20 19:48:22] root INFO: [Train][Epoch 12/200][Iter: 390/626]lr: 0.49929, CELoss: 3.84334, loss: 3.84334, batch_cost: 1.00216s, reader_cost: 0.45446, ips: 510.89858 images/sec, eta: 1 day, 8:49:38
[2021/12/20 19:48:52] root INFO: [Train][Epoch 12/200][Iter: 420/626]lr: 0.49928, CELoss: 3.84861, loss: 3.84861, batch_cost: 1.00219s, reader_cost: 0.45512, ips: 510.88053 images/sec, eta: 1 day, 8:49:12
[2021/12/20 19:49:24] root INFO: [Train][Epoch 12/200][Iter: 450/626]lr: 0.49927, CELoss: 3.84322, loss: 3.84322, batch_cost: 1.00694s, reader_cost: 0.46044, ips: 508.47292 images/sec, eta: 1 day, 8:58:01
[2021/12/20 19:49:55] root INFO: [Train][Epoch 12/200][Iter: 480/626]lr: 0.49926, CELoss: 3.83508, loss: 3.83508, batch_cost: 1.00905s, reader_cost: 0.46415, ips: 507.40982 images/sec, eta: 1 day, 9:01:39
[2021/12/20 19:50:28] root INFO: [Train][Epoch 12/200][Iter: 510/626]lr: 0.49925, CELoss: 3.84030, loss: 3.84030, batch_cost: 1.01334s, reader_cost: 0.47012, ips: 505.25916 images/sec, eta: 1 day, 9:09:35
[2021/12/20 19:50:59] root INFO: [Train][Epoch 12/200][Iter: 540/626]lr: 0.49924, CELoss: 3.83603, loss: 3.83603, batch_cost: 1.01553s, reader_cost: 0.47367, ips: 504.16998 images/sec, eta: 1 day, 9:13:23
[2021/12/20 19:51:31] root INFO: [Train][Epoch 12/200][Iter: 570/626]lr: 0.49923, CELoss: 3.83557, loss: 3.83557, batch_cost: 1.01803s, reader_cost: 0.47758, ips: 502.93339 images/sec, eta: 1 day, 9:17:46
[2021/12/20 19:52:01] root INFO: [Train][Epoch 12/200][Iter: 600/626]lr: 0.49921, CELoss: 3.82214, loss: 3.82214, batch_cost: 1.01731s, reader_cost: 0.47805, ips: 503.28919 images/sec, eta: 1 day, 9:15:51
[2021/12/20 19:52:27] root INFO: [Train][Epoch 12/200][Avg]CELoss: 3.82113, loss: 3.82113
[2021/12/20 19:52:27] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_12
[2021/12/20 19:52:27] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 19:52:32] root INFO: [Train][Epoch 13/200][Iter: 0/626]lr: 0.49921, CELoss: 3.26312, loss: 3.26312, batch_cost: 1.02423s, reader_cost: 0.48620, ips: 499.88784 images/sec, eta: 1 day, 9:28:59
[2021/12/20 19:53:03] root INFO: [Train][Epoch 13/200][Iter: 30/626]lr: 0.49919, CELoss: 3.72497, loss: 3.72497, batch_cost: 1.00373s, reader_cost: 0.40323, ips: 510.09733 images/sec, eta: 1 day, 8:48:16
[2021/12/20 19:53:31] root INFO: [Train][Epoch 13/200][Iter: 60/626]lr: 0.49918, CELoss: 3.72710, loss: 3.72710, batch_cost: 0.98052s, reader_cost: 0.41878, ips: 522.17005 images/sec, eta: 1 day, 8:02:17
[2021/12/20 19:54:02] root INFO: [Train][Epoch 13/200][Iter: 90/626]lr: 0.49917, CELoss: 3.71323, loss: 3.71323, batch_cost: 0.99059s, reader_cost: 0.43681, ips: 516.86427 images/sec, eta: 1 day, 8:21:31
[2021/12/20 19:54:32] root INFO: [Train][Epoch 13/200][Iter: 120/626]lr: 0.49916, CELoss: 3.76535, loss: 3.76535, batch_cost: 0.99496s, reader_cost: 0.37594, ips: 514.59481 images/sec, eta: 1 day, 8:29:35
[2021/12/20 19:55:03] root INFO: [Train][Epoch 13/200][Iter: 150/626]lr: 0.49915, CELoss: 3.77866, loss: 3.77866, batch_cost: 1.00338s, reader_cost: 0.30552, ips: 510.27746 images/sec, eta: 1 day, 8:45:34
[2021/12/20 19:55:32] root INFO: [Train][Epoch 13/200][Iter: 180/626]lr: 0.49914, CELoss: 3.76823, loss: 3.76823, batch_cost: 0.99481s, reader_cost: 0.26193, ips: 514.66982 images/sec, eta: 1 day, 8:28:18
[2021/12/20 19:56:02] root INFO: [Train][Epoch 13/200][Iter: 210/626]lr: 0.49913, CELoss: 3.80263, loss: 3.80263, batch_cost: 0.99968s, reader_cost: 0.22639, ips: 512.16349 images/sec, eta: 1 day, 8:37:20
[2021/12/20 19:56:31] root INFO: [Train][Epoch 13/200][Iter: 240/626]lr: 0.49912, CELoss: 3.81350, loss: 3.81350, batch_cost: 0.99489s, reader_cost: 0.19879, ips: 514.62902 images/sec, eta: 1 day, 8:27:28
[2021/12/20 19:57:03] root INFO: [Train][Epoch 13/200][Iter: 270/626]lr: 0.49910, CELoss: 3.81047, loss: 3.81047, batch_cost: 1.00365s, reader_cost: 0.17759, ips: 510.13571 images/sec, eta: 1 day, 8:44:07
[2021/12/20 19:57:33] root INFO: [Train][Epoch 13/200][Iter: 300/626]lr: 0.49909, CELoss: 3.81828, loss: 3.81828, batch_cost: 1.00147s, reader_cost: 0.16081, ips: 511.25045 images/sec, eta: 1 day, 8:39:20
[2021/12/20 19:58:04] root INFO: [Train][Epoch 13/200][Iter: 330/626]lr: 0.49908, CELoss: 3.81239, loss: 3.81239, batch_cost: 1.00564s, reader_cost: 0.14695, ips: 509.12627 images/sec, eta: 1 day, 8:47:00
[2021/12/20 19:58:33] root INFO: [Train][Epoch 13/200][Iter: 360/626]lr: 0.49907, CELoss: 3.80723, loss: 3.80723, batch_cost: 1.00041s, reader_cost: 0.13540, ips: 511.79095 images/sec, eta: 1 day, 8:36:15
[2021/12/20 19:59:04] root INFO: [Train][Epoch 13/200][Iter: 390/626]lr: 0.49906, CELoss: 3.81239, loss: 3.81239, batch_cost: 1.00465s, reader_cost: 0.12556, ips: 509.62837 images/sec, eta: 1 day, 8:44:03
[2021/12/20 19:59:34] root INFO: [Train][Epoch 13/200][Iter: 420/626]lr: 0.49905, CELoss: 3.80482, loss: 3.80482, batch_cost: 1.00399s, reader_cost: 0.11726, ips: 509.96488 images/sec, eta: 1 day, 8:42:15
[2021/12/20 20:00:06] root INFO: [Train][Epoch 13/200][Iter: 450/626]lr: 0.49903, CELoss: 3.77976, loss: 3.77976, batch_cost: 1.00677s, reader_cost: 0.11016, ips: 508.55491 images/sec, eta: 1 day, 8:47:12
[2021/12/20 20:00:36] root INFO: [Train][Epoch 13/200][Iter: 480/626]lr: 0.49902, CELoss: 3.77675, loss: 3.77675, batch_cost: 1.00726s, reader_cost: 0.10397, ips: 508.30745 images/sec, eta: 1 day, 8:47:39
[2021/12/20 20:01:07] root INFO: [Train][Epoch 13/200][Iter: 510/626]lr: 0.49901, CELoss: 3.77292, loss: 3.77292, batch_cost: 1.00912s, reader_cost: 0.09842, ips: 507.37476 images/sec, eta: 1 day, 8:50:46
[2021/12/20 20:01:36] root INFO: [Train][Epoch 13/200][Iter: 540/626]lr: 0.49900, CELoss: 3.78392, loss: 3.78392, batch_cost: 1.00690s, reader_cost: 0.09332, ips: 508.49306 images/sec, eta: 1 day, 8:45:55
[2021/12/20 20:02:08] root INFO: [Train][Epoch 13/200][Iter: 570/626]lr: 0.49899, CELoss: 3.77969, loss: 3.77969, batch_cost: 1.00991s, reader_cost: 0.08870, ips: 506.97389 images/sec, eta: 1 day, 8:51:19
[2021/12/20 20:02:38] root INFO: [Train][Epoch 13/200][Iter: 600/626]lr: 0.49897, CELoss: 3.77063, loss: 3.77063, batch_cost: 1.00879s, reader_cost: 0.08455, ips: 507.53754 images/sec, eta: 1 day, 8:48:37
[2021/12/20 20:03:03] root INFO: [Train][Epoch 13/200][Avg]CELoss: 3.77949, loss: 3.77949
[2021/12/20 20:03:03] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_13
[2021/12/20 20:03:03] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 20:03:09] root INFO: [Train][Epoch 14/200][Iter: 0/626]lr: 0.49896, CELoss: 3.06448, loss: 3.06448, batch_cost: 1.01544s, reader_cost: 0.08873, ips: 504.21522 images/sec, eta: 1 day, 9:01:09
[2021/12/20 20:03:39] root INFO: [Train][Epoch 14/200][Iter: 30/626]lr: 0.49895, CELoss: 3.64171, loss: 3.64171, batch_cost: 1.00127s, reader_cost: 0.08239, ips: 511.34879 images/sec, eta: 1 day, 8:33:01
[2021/12/20 20:04:11] root INFO: [Train][Epoch 14/200][Iter: 60/626]lr: 0.49894, CELoss: 3.72145, loss: 3.72145, batch_cost: 1.04118s, reader_cost: 0.04367, ips: 491.75159 images/sec, eta: 1 day, 9:50:19
[2021/12/20 20:04:40] root INFO: [Train][Epoch 14/200][Iter: 90/626]lr: 0.49893, CELoss: 3.66846, loss: 3.66846, batch_cost: 1.02006s, reader_cost: 0.03240, ips: 501.93033 images/sec, eta: 1 day, 9:08:38
[2021/12/20 20:05:12] root INFO: [Train][Epoch 14/200][Iter: 120/626]lr: 0.49891, CELoss: 3.73550, loss: 3.73550, batch_cost: 1.03128s, reader_cost: 0.02687, ips: 496.47227 images/sec, eta: 1 day, 9:29:59
[2021/12/20 20:05:41] root INFO: [Train][Epoch 14/200][Iter: 150/626]lr: 0.49890, CELoss: 3.73785, loss: 3.73785, batch_cost: 1.01829s, reader_cost: 0.02346, ips: 502.80448 images/sec, eta: 1 day, 9:04:10
[2021/12/20 20:06:13] root INFO: [Train][Epoch 14/200][Iter: 180/626]lr: 0.49889, CELoss: 3.75991, loss: 3.75991, batch_cost: 1.02464s, reader_cost: 0.02088, ips: 499.68999 images/sec, eta: 1 day, 9:16:01
[2021/12/20 20:06:43] root INFO: [Train][Epoch 14/200][Iter: 210/626]lr: 0.49887, CELoss: 3.74318, loss: 3.74318, batch_cost: 1.02221s, reader_cost: 0.01970, ips: 500.87772 images/sec, eta: 1 day, 9:10:46
[2021/12/20 20:07:15] root INFO: [Train][Epoch 14/200][Iter: 240/626]lr: 0.49886, CELoss: 3.75039, loss: 3.75039, batch_cost: 1.02526s, reader_cost: 0.01882, ips: 499.38597 images/sec, eta: 1 day, 9:16:12
[2021/12/20 20:07:44] root INFO: [Train][Epoch 14/200][Iter: 270/626]lr: 0.49885, CELoss: 3.71494, loss: 3.71494, batch_cost: 1.02031s, reader_cost: 0.01819, ips: 501.80957 images/sec, eta: 1 day, 9:06:03
[2021/12/20 20:08:15] root INFO: [Train][Epoch 14/200][Iter: 300/626]lr: 0.49884, CELoss: 3.72832, loss: 3.72832, batch_cost: 1.02212s, reader_cost: 0.01747, ips: 500.92118 images/sec, eta: 1 day, 9:09:04
[2021/12/20 20:08:44] root INFO: [Train][Epoch 14/200][Iter: 330/626]lr: 0.49882, CELoss: 3.71726, loss: 3.71726, batch_cost: 1.01549s, reader_cost: 0.01678, ips: 504.18992 images/sec, eta: 1 day, 8:55:40
[2021/12/20 20:09:15] root INFO: [Train][Epoch 14/200][Iter: 360/626]lr: 0.49881, CELoss: 3.73130, loss: 3.73130, batch_cost: 1.01715s, reader_cost: 0.01623, ips: 503.36510 images/sec, eta: 1 day, 8:58:23
[2021/12/20 20:09:43] root INFO: [Train][Epoch 14/200][Iter: 390/626]lr: 0.49880, CELoss: 3.72900, loss: 3.72900, batch_cost: 1.01128s, reader_cost: 0.01556, ips: 506.29053 images/sec, eta: 1 day, 8:46:27
[2021/12/20 20:10:13] root INFO: [Train][Epoch 14/200][Iter: 420/626]lr: 0.49878, CELoss: 3.71743, loss: 3.71743, batch_cost: 1.01127s, reader_cost: 0.01497, ips: 506.29564 images/sec, eta: 1 day, 8:45:56
[2021/12/20 20:10:42] root INFO: [Train][Epoch 14/200][Iter: 450/626]lr: 0.49877, CELoss: 3.71653, loss: 3.71653, batch_cost: 1.00709s, reader_cost: 0.01429, ips: 508.39460 images/sec, eta: 1 day, 8:37:18
[2021/12/20 20:11:13] root INFO: [Train][Epoch 14/200][Iter: 480/626]lr: 0.49875, CELoss: 3.70835, loss: 3.70835, batch_cost: 1.00834s, reader_cost: 0.01419, ips: 507.76502 images/sec, eta: 1 day, 8:39:14
[2021/12/20 20:11:42] root INFO: [Train][Epoch 14/200][Iter: 510/626]lr: 0.49874, CELoss: 3.70506, loss: 3.70506, batch_cost: 1.00669s, reader_cost: 0.01400, ips: 508.59975 images/sec, eta: 1 day, 8:35:31
[2021/12/20 20:12:13] root INFO: [Train][Epoch 14/200][Iter: 540/626]lr: 0.49873, CELoss: 3.70854, loss: 3.70854, batch_cost: 1.00833s, reader_cost: 0.01359, ips: 507.76896 images/sec, eta: 1 day, 8:38:12
[2021/12/20 20:12:42] root INFO: [Train][Epoch 14/200][Iter: 570/626]lr: 0.49871, CELoss: 3.71943, loss: 3.71943, batch_cost: 1.00626s, reader_cost: 0.01327, ips: 508.81322 images/sec, eta: 1 day, 8:33:41
[2021/12/20 20:13:13] root INFO: [Train][Epoch 14/200][Iter: 600/626]lr: 0.49870, CELoss: 3.70964, loss: 3.70964, batch_cost: 1.00779s, reader_cost: 0.01294, ips: 508.04273 images/sec, eta: 1 day, 8:36:09
[2021/12/20 20:13:38] root INFO: [Train][Epoch 14/200][Avg]CELoss: 3.70471, loss: 3.70471
[2021/12/20 20:13:38] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_14
[2021/12/20 20:13:39] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 20:13:44] root INFO: [Train][Epoch 15/200][Iter: 0/626]lr: 0.49869, CELoss: 3.14875, loss: 3.14875, batch_cost: 1.01395s, reader_cost: 0.02035, ips: 504.95466 images/sec, eta: 1 day, 8:47:40
[2021/12/20 20:14:13] root INFO: [Train][Epoch 15/200][Iter: 30/626]lr: 0.49867, CELoss: 3.60541, loss: 3.60541, batch_cost: 0.96054s, reader_cost: 0.41949, ips: 533.03484 images/sec, eta: 1 day, 7:03:32
[2021/12/20 20:14:43] root INFO: [Train][Epoch 15/200][Iter: 60/626]lr: 0.49866, CELoss: 3.71097, loss: 3.71097, batch_cost: 0.97422s, reader_cost: 0.41311, ips: 525.54717 images/sec, eta: 1 day, 7:29:36
[2021/12/20 20:15:10] root INFO: [Train][Epoch 15/200][Iter: 90/626]lr: 0.49865, CELoss: 3.66110, loss: 3.66110, batch_cost: 0.95724s, reader_cost: 0.35611, ips: 534.86867 images/sec, eta: 1 day, 6:56:11
[2021/12/20 20:15:40] root INFO: [Train][Epoch 15/200][Iter: 120/626]lr: 0.49863, CELoss: 3.64894, loss: 3.64894, batch_cost: 0.96614s, reader_cost: 0.28435, ips: 529.94413 images/sec, eta: 1 day, 7:12:57
[2021/12/20 20:16:08] root INFO: [Train][Epoch 15/200][Iter: 150/626]lr: 0.49862, CELoss: 3.64401, loss: 3.64401, batch_cost: 0.96045s, reader_cost: 0.22799, ips: 533.08403 images/sec, eta: 1 day, 7:01:26
[2021/12/20 20:16:39] root INFO: [Train][Epoch 15/200][Iter: 180/626]lr: 0.49860, CELoss: 3.63692, loss: 3.63692, batch_cost: 0.97235s, reader_cost: 0.19087, ips: 526.55988 images/sec, eta: 1 day, 7:24:01
[2021/12/20 20:17:09] root INFO: [Train][Epoch 15/200][Iter: 210/626]lr: 0.49859, CELoss: 3.63431, loss: 3.63431, batch_cost: 0.97605s, reader_cost: 0.16488, ips: 524.56339 images/sec, eta: 1 day, 7:30:42
[2021/12/20 20:17:40] root INFO: [Train][Epoch 15/200][Iter: 240/626]lr: 0.49857, CELoss: 3.63534, loss: 3.63534, batch_cost: 0.98267s, reader_cost: 0.14537, ips: 521.02693 images/sec, eta: 1 day, 7:43:02
[2021/12/20 20:18:09] root INFO: [Train][Epoch 15/200][Iter: 270/626]lr: 0.49856, CELoss: 3.63655, loss: 3.63655, batch_cost: 0.97984s, reader_cost: 0.13017, ips: 522.53600 images/sec, eta: 1 day, 7:37:03
[2021/12/20 20:18:40] root INFO: [Train][Epoch 15/200][Iter: 300/626]lr: 0.49854, CELoss: 3.63881, loss: 3.63881, batch_cost: 0.98574s, reader_cost: 0.11795, ips: 519.40454 images/sec, eta: 1 day, 7:48:00
[2021/12/20 20:19:09] root INFO: [Train][Epoch 15/200][Iter: 330/626]lr: 0.49853, CELoss: 3.61954, loss: 3.61954, batch_cost: 0.98488s, reader_cost: 0.10822, ips: 519.85832 images/sec, eta: 1 day, 7:45:50
[2021/12/20 20:19:40] root INFO: [Train][Epoch 15/200][Iter: 360/626]lr: 0.49852, CELoss: 3.62313, loss: 3.62313, batch_cost: 0.98907s, reader_cost: 0.09992, ips: 517.65909 images/sec, eta: 1 day, 7:53:27
[2021/12/20 20:20:10] root INFO: [Train][Epoch 15/200][Iter: 390/626]lr: 0.49850, CELoss: 3.61635, loss: 3.61635, batch_cost: 0.99050s, reader_cost: 0.09319, ips: 516.91048 images/sec, eta: 1 day, 7:55:43
[2021/12/20 20:20:41] root INFO: [Train][Epoch 15/200][Iter: 420/626]lr: 0.49849, CELoss: 3.62042, loss: 3.62042, batch_cost: 0.99313s, reader_cost: 0.08719, ips: 515.54375 images/sec, eta: 1 day, 8:00:18
[2021/12/20 20:21:12] root INFO: [Train][Epoch 15/200][Iter: 450/626]lr: 0.49847, CELoss: 3.62247, loss: 3.62247, batch_cost: 0.99459s, reader_cost: 0.08209, ips: 514.78579 images/sec, eta: 1 day, 8:02:38
[2021/12/20 20:21:43] root INFO: [Train][Epoch 15/200][Iter: 480/626]lr: 0.49846, CELoss: 3.63630, loss: 3.63630, batch_cost: 0.99661s, reader_cost: 0.07751, ips: 513.74130 images/sec, eta: 1 day, 8:06:02
[2021/12/20 20:22:12] root INFO: [Train][Epoch 15/200][Iter: 510/626]lr: 0.49844, CELoss: 3.63080, loss: 3.63080, batch_cost: 0.99510s, reader_cost: 0.07352, ips: 514.52179 images/sec, eta: 1 day, 8:02:37
[2021/12/20 20:22:42] root INFO: [Train][Epoch 15/200][Iter: 540/626]lr: 0.49842, CELoss: 3.63947, loss: 3.63947, batch_cost: 0.99669s, reader_cost: 0.06994, ips: 513.70061 images/sec, eta: 1 day, 8:05:12
[2021/12/20 20:23:12] root INFO: [Train][Epoch 15/200][Iter: 570/626]lr: 0.49841, CELoss: 3.63814, loss: 3.63814, batch_cost: 0.99589s, reader_cost: 0.06671, ips: 514.11093 images/sec, eta: 1 day, 8:03:10
[2021/12/20 20:23:43] root INFO: [Train][Epoch 15/200][Iter: 600/626]lr: 0.49839, CELoss: 3.64008, loss: 3.64008, batch_cost: 0.99795s, reader_cost: 0.06378, ips: 513.05154 images/sec, eta: 1 day, 8:06:38
[2021/12/20 20:24:08] root INFO: [Train][Epoch 15/200][Avg]CELoss: 3.64150, loss: 3.64150
[2021/12/20 20:24:16] root INFO: [Eval][Epoch 15][Iter: 0/25]CELoss: 2.24105, loss: 2.24105, top1: 0.53369, batch_cost: 8.77773s, reader_cost: 8.16447, ips: 58.32945 images/sec
[2021/12/20 20:25:03] root INFO: [Eval][Epoch 15][Avg]CELoss: 2.40147, loss: 2.40147, top1: 0.53230
[2021/12/20 20:25:03] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 20:25:03] root INFO: [Eval][Epoch 15][best metric: 0.5323000001144409]
[2021/12/20 20:25:03] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_15
[2021/12/20 20:25:03] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 20:25:09] root INFO: [Train][Epoch 16/200][Iter: 0/626]lr: 0.49838, CELoss: 2.88294, loss: 2.88294, batch_cost: 1.00366s, reader_cost: 0.06889, ips: 510.13396 images/sec, eta: 1 day, 8:17:13
[2021/12/20 20:25:37] root INFO: [Train][Epoch 16/200][Iter: 30/626]lr: 0.49837, CELoss: 3.68690, loss: 3.68690, batch_cost: 0.94392s, reader_cost: 0.41153, ips: 542.41923 images/sec, eta: 1 day, 6:21:26
[2021/12/20 20:26:07] root INFO: [Train][Epoch 16/200][Iter: 60/626]lr: 0.49835, CELoss: 3.62947, loss: 3.62947, batch_cost: 0.97495s, reader_cost: 0.38648, ips: 525.15415 images/sec, eta: 1 day, 7:20:50
[2021/12/20 20:26:36] root INFO: [Train][Epoch 16/200][Iter: 90/626]lr: 0.49833, CELoss: 3.62628, loss: 3.62628, batch_cost: 0.96495s, reader_cost: 0.38863, ips: 530.59979 images/sec, eta: 1 day, 7:01:03
[2021/12/20 20:27:06] root INFO: [Train][Epoch 16/200][Iter: 120/626]lr: 0.49832, CELoss: 3.62629, loss: 3.62629, batch_cost: 0.97571s, reader_cost: 0.38727, ips: 524.74542 images/sec, eta: 1 day, 7:21:20
[2021/12/20 20:27:35] root INFO: [Train][Epoch 16/200][Iter: 150/626]lr: 0.49830, CELoss: 3.68883, loss: 3.68883, batch_cost: 0.97396s, reader_cost: 0.37412, ips: 525.68791 images/sec, eta: 1 day, 7:17:28
[2021/12/20 20:28:05] root INFO: [Train][Epoch 16/200][Iter: 180/626]lr: 0.49829, CELoss: 3.66469, loss: 3.66469, batch_cost: 0.97931s, reader_cost: 0.33719, ips: 522.81688 images/sec, eta: 1 day, 7:27:17
[2021/12/20 20:28:34] root INFO: [Train][Epoch 16/200][Iter: 210/626]lr: 0.49827, CELoss: 3.66425, loss: 3.66425, batch_cost: 0.97540s, reader_cost: 0.29498, ips: 524.91348 images/sec, eta: 1 day, 7:19:16
[2021/12/20 20:29:03] root INFO: [Train][Epoch 16/200][Iter: 240/626]lr: 0.49825, CELoss: 3.66584, loss: 3.66584, batch_cost: 0.97517s, reader_cost: 0.27191, ips: 525.03924 images/sec, eta: 1 day, 7:18:19
[2021/12/20 20:29:32] root INFO: [Train][Epoch 16/200][Iter: 270/626]lr: 0.49824, CELoss: 3.67323, loss: 3.67323, batch_cost: 0.97514s, reader_cost: 0.26776, ips: 525.05022 images/sec, eta: 1 day, 7:17:48
[2021/12/20 20:30:02] root INFO: [Train][Epoch 16/200][Iter: 300/626]lr: 0.49822, CELoss: 3.65359, loss: 3.65359, batch_cost: 0.97619s, reader_cost: 0.26385, ips: 524.49029 images/sec, eta: 1 day, 7:19:19
[2021/12/20 20:30:31] root INFO: [Train][Epoch 16/200][Iter: 330/626]lr: 0.49821, CELoss: 3.64444, loss: 3.64444, batch_cost: 0.97462s, reader_cost: 0.26352, ips: 525.33136 images/sec, eta: 1 day, 7:15:49
[2021/12/20 20:31:00] root INFO: [Train][Epoch 16/200][Iter: 360/626]lr: 0.49819, CELoss: 3.65391, loss: 3.65391, batch_cost: 0.97615s, reader_cost: 0.25911, ips: 524.50840 images/sec, eta: 1 day, 7:18:16
[2021/12/20 20:31:30] root INFO: [Train][Epoch 16/200][Iter: 390/626]lr: 0.49817, CELoss: 3.65470, loss: 3.65470, batch_cost: 0.97672s, reader_cost: 0.26098, ips: 524.20217 images/sec, eta: 1 day, 7:18:53
[2021/12/20 20:32:01] root INFO: [Train][Epoch 16/200][Iter: 420/626]lr: 0.49816, CELoss: 3.65767, loss: 3.65767, batch_cost: 0.98182s, reader_cost: 0.24964, ips: 521.48223 images/sec, eta: 1 day, 7:28:11
[2021/12/20 20:32:32] root INFO: [Train][Epoch 16/200][Iter: 450/626]lr: 0.49814, CELoss: 3.65174, loss: 3.65174, batch_cost: 0.98359s, reader_cost: 0.24484, ips: 520.54081 images/sec, eta: 1 day, 7:31:07
[2021/12/20 20:33:03] root INFO: [Train][Epoch 16/200][Iter: 480/626]lr: 0.49812, CELoss: 3.66525, loss: 3.66525, batch_cost: 0.98703s, reader_cost: 0.23257, ips: 518.72643 images/sec, eta: 1 day, 7:37:14
[2021/12/20 20:33:32] root INFO: [Train][Epoch 16/200][Iter: 510/626]lr: 0.49811, CELoss: 3.67162, loss: 3.67162, batch_cost: 0.98725s, reader_cost: 0.23016, ips: 518.61074 images/sec, eta: 1 day, 7:37:10
[2021/12/20 20:34:03] root INFO: [Train][Epoch 16/200][Iter: 540/626]lr: 0.49809, CELoss: 3.69330, loss: 3.69330, batch_cost: 0.98908s, reader_cost: 0.23008, ips: 517.65501 images/sec, eta: 1 day, 7:40:10
[2021/12/20 20:34:33] root INFO: [Train][Epoch 16/200][Iter: 570/626]lr: 0.49807, CELoss: 3.68162, loss: 3.68162, batch_cost: 0.98973s, reader_cost: 0.22509, ips: 517.31202 images/sec, eta: 1 day, 7:40:56
[2021/12/20 20:35:05] root INFO: [Train][Epoch 16/200][Iter: 600/626]lr: 0.49806, CELoss: 3.68085, loss: 3.68085, batch_cost: 0.99285s, reader_cost: 0.21538, ips: 515.68523 images/sec, eta: 1 day, 7:46:26
[2021/12/20 20:35:29] root INFO: [Train][Epoch 16/200][Avg]CELoss: 3.68840, loss: 3.68840
[2021/12/20 20:35:29] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_16
[2021/12/20 20:35:29] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 20:35:34] root INFO: [Train][Epoch 17/200][Iter: 0/626]lr: 0.49804, CELoss: 3.07974, loss: 3.07974, batch_cost: 0.99812s, reader_cost: 0.21639, ips: 512.96649 images/sec, eta: 1 day, 7:56:06
[2021/12/20 20:36:03] root INFO: [Train][Epoch 17/200][Iter: 30/626]lr: 0.49802, CELoss: 3.42889, loss: 3.42889, batch_cost: 0.94009s, reader_cost: 0.17151, ips: 544.63121 images/sec, eta: 1 day, 6:04:14
[2021/12/20 20:36:32] root INFO: [Train][Epoch 17/200][Iter: 60/626]lr: 0.49801, CELoss: 3.59204, loss: 3.59204, batch_cost: 0.94958s, reader_cost: 0.21320, ips: 539.18666 images/sec, eta: 1 day, 6:21:59
[2021/12/20 20:37:00] root INFO: [Train][Epoch 17/200][Iter: 90/626]lr: 0.49799, CELoss: 3.65440, loss: 3.65440, batch_cost: 0.94894s, reader_cost: 0.21525, ips: 539.55129 images/sec, eta: 1 day, 6:20:16
[2021/12/20 20:37:30] root INFO: [Train][Epoch 17/200][Iter: 120/626]lr: 0.49797, CELoss: 3.64843, loss: 3.64843, batch_cost: 0.95888s, reader_cost: 0.26955, ips: 533.95653 images/sec, eta: 1 day, 6:38:52
[2021/12/20 20:37:58] root INFO: [Train][Epoch 17/200][Iter: 150/626]lr: 0.49796, CELoss: 3.66003, loss: 3.66003, batch_cost: 0.95279s, reader_cost: 0.27827, ips: 537.36842 images/sec, eta: 1 day, 6:26:43
[2021/12/20 20:38:29] root INFO: [Train][Epoch 17/200][Iter: 180/626]lr: 0.49794, CELoss: 3.66369, loss: 3.66369, batch_cost: 0.96524s, reader_cost: 0.25849, ips: 530.44023 images/sec, eta: 1 day, 6:50:05
[2021/12/20 20:38:57] root INFO: [Train][Epoch 17/200][Iter: 210/626]lr: 0.49792, CELoss: 3.65377, loss: 3.65377, batch_cost: 0.96217s, reader_cost: 0.27622, ips: 532.12851 images/sec, eta: 1 day, 6:43:44
[2021/12/20 20:39:27] root INFO: [Train][Epoch 17/200][Iter: 240/626]lr: 0.49790, CELoss: 3.64217, loss: 3.64217, batch_cost: 0.96833s, reader_cost: 0.30450, ips: 528.74437 images/sec, eta: 1 day, 6:55:03
[2021/12/20 20:39:56] root INFO: [Train][Epoch 17/200][Iter: 270/626]lr: 0.49789, CELoss: 3.65352, loss: 3.65352, batch_cost: 0.96776s, reader_cost: 0.32092, ips: 529.05474 images/sec, eta: 1 day, 6:53:29
[2021/12/20 20:40:26] root INFO: [Train][Epoch 17/200][Iter: 300/626]lr: 0.49787, CELoss: 3.62413, loss: 3.62413, batch_cost: 0.97008s, reader_cost: 0.33683, ips: 527.79326 images/sec, eta: 1 day, 6:57:26
[2021/12/20 20:40:54] root INFO: [Train][Epoch 17/200][Iter: 330/626]lr: 0.49785, CELoss: 3.63220, loss: 3.63220, batch_cost: 0.96850s, reader_cost: 0.34638, ips: 528.65091 images/sec, eta: 1 day, 6:53:56
[2021/12/20 20:41:25] root INFO: [Train][Epoch 17/200][Iter: 360/626]lr: 0.49783, CELoss: 3.64480, loss: 3.64480, batch_cost: 0.97166s, reader_cost: 0.35717, ips: 526.93341 images/sec, eta: 1 day, 6:59:29
[2021/12/20 20:41:54] root INFO: [Train][Epoch 17/200][Iter: 390/626]lr: 0.49781, CELoss: 3.64256, loss: 3.64256, batch_cost: 0.97343s, reader_cost: 0.36176, ips: 525.97601 images/sec, eta: 1 day, 7:02:23
[2021/12/20 20:42:27] root INFO: [Train][Epoch 17/200][Iter: 420/626]lr: 0.49780, CELoss: 3.65533, loss: 3.65533, batch_cost: 0.98100s, reader_cost: 0.34124, ips: 521.91411 images/sec, eta: 1 day, 7:16:23
[2021/12/20 20:42:55] root INFO: [Train][Epoch 17/200][Iter: 450/626]lr: 0.49778, CELoss: 3.67535, loss: 3.67535, batch_cost: 0.97858s, reader_cost: 0.31966, ips: 523.20713 images/sec, eta: 1 day, 7:11:16
[2021/12/20 20:43:25] root INFO: [Train][Epoch 17/200][Iter: 480/626]lr: 0.49776, CELoss: 3.68573, loss: 3.68573, batch_cost: 0.98039s, reader_cost: 0.31567, ips: 522.24141 images/sec, eta: 1 day, 7:14:14
[2021/12/20 20:43:54] root INFO: [Train][Epoch 17/200][Iter: 510/626]lr: 0.49774, CELoss: 3.68092, loss: 3.68092, batch_cost: 0.97957s, reader_cost: 0.31684, ips: 522.67571 images/sec, eta: 1 day, 7:12:11
[2021/12/20 20:44:25] root INFO: [Train][Epoch 17/200][Iter: 540/626]lr: 0.49772, CELoss: 3.66802, loss: 3.66802, batch_cost: 0.98136s, reader_cost: 0.31500, ips: 521.72428 images/sec, eta: 1 day, 7:15:07
[2021/12/20 20:44:55] root INFO: [Train][Epoch 17/200][Iter: 570/626]lr: 0.49771, CELoss: 3.66910, loss: 3.66910, batch_cost: 0.98261s, reader_cost: 0.30216, ips: 521.05909 images/sec, eta: 1 day, 7:17:01
[2021/12/20 20:45:26] root INFO: [Train][Epoch 17/200][Iter: 600/626]lr: 0.49769, CELoss: 3.66862, loss: 3.66862, batch_cost: 0.98516s, reader_cost: 0.29774, ips: 519.71270 images/sec, eta: 1 day, 7:21:23
[2021/12/20 20:45:52] root INFO: [Train][Epoch 17/200][Avg]CELoss: 3.66854, loss: 3.66854
[2021/12/20 20:45:52] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_17
[2021/12/20 20:45:52] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 20:45:57] root INFO: [Train][Epoch 18/200][Iter: 0/626]lr: 0.49767, CELoss: 5.40133, loss: 5.40133, batch_cost: 0.99317s, reader_cost: 0.30751, ips: 515.52052 images/sec, eta: 1 day, 7:36:15
[2021/12/20 20:46:26] root INFO: [Train][Epoch 18/200][Iter: 30/626]lr: 0.49765, CELoss: 3.69357, loss: 3.69357, batch_cost: 0.96945s, reader_cost: 0.36320, ips: 528.13506 images/sec, eta: 1 day, 6:50:29
[2021/12/20 20:46:56] root INFO: [Train][Epoch 18/200][Iter: 60/626]lr: 0.49763, CELoss: 3.62934, loss: 3.62934, batch_cost: 0.98445s, reader_cost: 0.18333, ips: 520.08655 images/sec, eta: 1 day, 7:18:37
[2021/12/20 20:47:26] root INFO: [Train][Epoch 18/200][Iter: 90/626]lr: 0.49761, CELoss: 3.71345, loss: 3.71345, batch_cost: 0.98332s, reader_cost: 0.12534, ips: 520.68357 images/sec, eta: 1 day, 7:15:58
[2021/12/20 20:47:55] root INFO: [Train][Epoch 18/200][Iter: 120/626]lr: 0.49760, CELoss: 3.69902, loss: 3.69902, batch_cost: 0.97789s, reader_cost: 0.09557, ips: 523.57831 images/sec, eta: 1 day, 7:05:07
[2021/12/20 20:48:26] root INFO: [Train][Epoch 18/200][Iter: 150/626]lr: 0.49758, CELoss: 3.72577, loss: 3.72577, batch_cost: 0.98840s, reader_cost: 0.07853, ips: 518.00900 images/sec, eta: 1 day, 7:24:40
[2021/12/20 20:48:55] root INFO: [Train][Epoch 18/200][Iter: 180/626]lr: 0.49756, CELoss: 3.73822, loss: 3.73822, batch_cost: 0.98614s, reader_cost: 0.06755, ips: 519.19399 images/sec, eta: 1 day, 7:19:53
[2021/12/20 20:49:26] root INFO: [Train][Epoch 18/200][Iter: 210/626]lr: 0.49754, CELoss: 3.76223, loss: 3.76223, batch_cost: 0.99581s, reader_cost: 0.05952, ips: 514.15383 images/sec, eta: 1 day, 7:37:48
[2021/12/20 20:49:56] root INFO: [Train][Epoch 18/200][Iter: 240/626]lr: 0.49752, CELoss: 3.74413, loss: 3.74413, batch_cost: 0.99315s, reader_cost: 0.05361, ips: 515.53341 images/sec, eta: 1 day, 7:32:14
[2021/12/20 20:50:26] root INFO: [Train][Epoch 18/200][Iter: 270/626]lr: 0.49750, CELoss: 3.75602, loss: 3.75602, batch_cost: 0.99498s, reader_cost: 0.04886, ips: 514.58459 images/sec, eta: 1 day, 7:35:13
[2021/12/20 20:50:54] root INFO: [Train][Epoch 18/200][Iter: 300/626]lr: 0.49748, CELoss: 3.72780, loss: 3.72780, batch_cost: 0.99043s, reader_cost: 0.04466, ips: 516.94770 images/sec, eta: 1 day, 7:26:04
[2021/12/20 20:51:25] root INFO: [Train][Epoch 18/200][Iter: 330/626]lr: 0.49746, CELoss: 3.72051, loss: 3.72051, batch_cost: 0.99262s, reader_cost: 0.04135, ips: 515.80762 images/sec, eta: 1 day, 7:29:44
[2021/12/20 20:51:54] root INFO: [Train][Epoch 18/200][Iter: 360/626]lr: 0.49744, CELoss: 3.72419, loss: 3.72419, batch_cost: 0.99121s, reader_cost: 0.03865, ips: 516.54196 images/sec, eta: 1 day, 7:26:33
[2021/12/20 20:52:25] root INFO: [Train][Epoch 18/200][Iter: 390/626]lr: 0.49742, CELoss: 3.71797, loss: 3.71797, batch_cost: 0.99318s, reader_cost: 0.03661, ips: 515.51548 images/sec, eta: 1 day, 7:29:49
[2021/12/20 20:52:54] root INFO: [Train][Epoch 18/200][Iter: 420/626]lr: 0.49740, CELoss: 3.71578, loss: 3.71578, batch_cost: 0.99285s, reader_cost: 0.03492, ips: 515.68869 images/sec, eta: 1 day, 7:28:41
[2021/12/20 20:53:25] root INFO: [Train][Epoch 18/200][Iter: 450/626]lr: 0.49738, CELoss: 3.70900, loss: 3.70900, batch_cost: 0.99465s, reader_cost: 0.03329, ips: 514.75473 images/sec, eta: 1 day, 7:31:37
[2021/12/20 20:53:54] root INFO: [Train][Epoch 18/200][Iter: 480/626]lr: 0.49736, CELoss: 3.69935, loss: 3.69935, batch_cost: 0.99345s, reader_cost: 0.03178, ips: 515.37605 images/sec, eta: 1 day, 7:28:50
[2021/12/20 20:54:25] root INFO: [Train][Epoch 18/200][Iter: 510/626]lr: 0.49734, CELoss: 3.69781, loss: 3.69781, batch_cost: 0.99507s, reader_cost: 0.03037, ips: 514.53534 images/sec, eta: 1 day, 7:31:26
[2021/12/20 20:54:54] root INFO: [Train][Epoch 18/200][Iter: 540/626]lr: 0.49733, CELoss: 3.70001, loss: 3.70001, batch_cost: 0.99393s, reader_cost: 0.02917, ips: 515.12828 images/sec, eta: 1 day, 7:28:45
[2021/12/20 20:55:25] root INFO: [Train][Epoch 18/200][Iter: 570/626]lr: 0.49731, CELoss: 3.70754, loss: 3.70754, batch_cost: 0.99555s, reader_cost: 0.02854, ips: 514.28893 images/sec, eta: 1 day, 7:31:20
[2021/12/20 20:55:55] root INFO: [Train][Epoch 18/200][Iter: 600/626]lr: 0.49729, CELoss: 3.70793, loss: 3.70793, batch_cost: 0.99662s, reader_cost: 0.02793, ips: 513.73522 images/sec, eta: 1 day, 7:32:53
[2021/12/20 20:56:21] root INFO: [Train][Epoch 18/200][Avg]CELoss: 3.70695, loss: 3.70695
[2021/12/20 20:56:21] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_18
[2021/12/20 20:56:22] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 20:56:27] root INFO: [Train][Epoch 19/200][Iter: 0/626]lr: 0.49727, CELoss: 2.91368, loss: 2.91368, batch_cost: 1.00511s, reader_cost: 0.03477, ips: 509.39685 images/sec, eta: 1 day, 7:48:34
[2021/12/20 20:56:56] root INFO: [Train][Epoch 19/200][Iter: 30/626]lr: 0.49725, CELoss: 3.42893, loss: 3.42893, batch_cost: 0.97303s, reader_cost: 0.29008, ips: 526.19335 images/sec, eta: 1 day, 6:47:09
[2021/12/20 20:57:27] root INFO: [Train][Epoch 19/200][Iter: 60/626]lr: 0.49723, CELoss: 3.62858, loss: 3.62858, batch_cost: 0.99561s, reader_cost: 0.15782, ips: 514.25929 images/sec, eta: 1 day, 7:29:31
[2021/12/20 20:57:56] root INFO: [Train][Epoch 19/200][Iter: 90/626]lr: 0.49721, CELoss: 3.55981, loss: 3.55981, batch_cost: 0.98407s, reader_cost: 0.11286, ips: 520.28566 images/sec, eta: 1 day, 7:07:09
[2021/12/20 20:58:26] root INFO: [Train][Epoch 19/200][Iter: 120/626]lr: 0.49719, CELoss: 3.52067, loss: 3.52067, batch_cost: 0.99006s, reader_cost: 0.08595, ips: 517.14025 images/sec, eta: 1 day, 7:18:00
[2021/12/20 20:58:53] root INFO: [Train][Epoch 19/200][Iter: 150/626]lr: 0.49717, CELoss: 3.50745, loss: 3.50745, batch_cost: 0.97527s, reader_cost: 0.06963, ips: 524.98276 images/sec, eta: 1 day, 6:49:28
[2021/12/20 20:59:24] root INFO: [Train][Epoch 19/200][Iter: 180/626]lr: 0.49715, CELoss: 3.57008, loss: 3.57008, batch_cost: 0.98155s, reader_cost: 0.05875, ips: 521.62204 images/sec, eta: 1 day, 7:00:53
[2021/12/20 20:59:52] root INFO: [Train][Epoch 19/200][Iter: 210/626]lr: 0.49713, CELoss: 3.53520, loss: 3.53520, batch_cost: 0.97777s, reader_cost: 0.05116, ips: 523.63895 images/sec, eta: 1 day, 6:53:14
[2021/12/20 21:00:22] root INFO: [Train][Epoch 19/200][Iter: 240/626]lr: 0.49710, CELoss: 3.51663, loss: 3.51663, batch_cost: 0.97971s, reader_cost: 0.04544, ips: 522.60551 images/sec, eta: 1 day, 6:56:24
[2021/12/20 21:00:51] root INFO: [Train][Epoch 19/200][Iter: 270/626]lr: 0.49708, CELoss: 3.53067, loss: 3.53067, batch_cost: 0.97660s, reader_cost: 0.04204, ips: 524.26779 images/sec, eta: 1 day, 6:50:02
[2021/12/20 21:01:21] root INFO: [Train][Epoch 19/200][Iter: 300/626]lr: 0.49706, CELoss: 3.56948, loss: 3.56948, batch_cost: 0.97969s, reader_cost: 0.04277, ips: 522.61236 images/sec, eta: 1 day, 6:55:24
[2021/12/20 21:01:51] root INFO: [Train][Epoch 19/200][Iter: 330/626]lr: 0.49704, CELoss: 3.57091, loss: 3.57091, batch_cost: 0.98043s, reader_cost: 0.04036, ips: 522.22025 images/sec, eta: 1 day, 6:56:18
[2021/12/20 21:02:22] root INFO: [Train][Epoch 19/200][Iter: 360/626]lr: 0.49702, CELoss: 3.58785, loss: 3.58785, batch_cost: 0.98664s, reader_cost: 0.03771, ips: 518.93169 images/sec, eta: 1 day, 7:07:34
[2021/12/20 21:02:51] root INFO: [Train][Epoch 19/200][Iter: 390/626]lr: 0.49700, CELoss: 3.57498, loss: 3.57498, batch_cost: 0.98532s, reader_cost: 0.03554, ips: 519.62579 images/sec, eta: 1 day, 7:04:35
[2021/12/20 21:03:22] root INFO: [Train][Epoch 19/200][Iter: 420/626]lr: 0.49698, CELoss: 3.56872, loss: 3.56872, batch_cost: 0.98726s, reader_cost: 0.03375, ips: 518.60463 images/sec, eta: 1 day, 7:07:46
[2021/12/20 21:03:50] root INFO: [Train][Epoch 19/200][Iter: 450/626]lr: 0.49696, CELoss: 3.57589, loss: 3.57589, batch_cost: 0.98511s, reader_cost: 0.03213, ips: 519.73644 images/sec, eta: 1 day, 7:03:12
[2021/12/20 21:04:21] root INFO: [Train][Epoch 19/200][Iter: 480/626]lr: 0.49694, CELoss: 3.58474, loss: 3.58474, batch_cost: 0.98811s, reader_cost: 0.03054, ips: 518.16105 images/sec, eta: 1 day, 7:08:23
[2021/12/20 21:04:52] root INFO: [Train][Epoch 19/200][Iter: 510/626]lr: 0.49692, CELoss: 3.56890, loss: 3.56890, batch_cost: 0.99058s, reader_cost: 0.02921, ips: 516.86843 images/sec, eta: 1 day, 7:12:33
[2021/12/20 21:05:22] root INFO: [Train][Epoch 19/200][Iter: 540/626]lr: 0.49689, CELoss: 3.57480, loss: 3.57480, batch_cost: 0.99017s, reader_cost: 0.02817, ips: 517.08316 images/sec, eta: 1 day, 7:11:17
[2021/12/20 21:05:53] root INFO: [Train][Epoch 19/200][Iter: 570/626]lr: 0.49687, CELoss: 3.57196, loss: 3.57196, batch_cost: 0.99252s, reader_cost: 0.04390, ips: 515.85814 images/sec, eta: 1 day, 7:15:14
[2021/12/20 21:06:23] root INFO: [Train][Epoch 19/200][Iter: 600/626]lr: 0.49685, CELoss: 3.58222, loss: 3.58222, batch_cost: 0.99325s, reader_cost: 0.04954, ips: 515.47786 images/sec, eta: 1 day, 7:16:07
[2021/12/20 21:06:48] root INFO: [Train][Epoch 19/200][Avg]CELoss: 3.57716, loss: 3.57716
[2021/12/20 21:06:49] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_19
[2021/12/20 21:06:49] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 21:06:54] root INFO: [Train][Epoch 20/200][Iter: 0/626]lr: 0.49683, CELoss: 2.76140, loss: 2.76140, batch_cost: 1.00090s, reader_cost: 0.05621, ips: 511.53903 images/sec, eta: 1 day, 7:30:08
[2021/12/20 21:07:24] root INFO: [Train][Epoch 20/200][Iter: 30/626]lr: 0.49681, CELoss: 3.54782, loss: 3.54782, batch_cost: 0.98393s, reader_cost: 0.44927, ips: 520.36046 images/sec, eta: 1 day, 6:57:36
[2021/12/20 21:07:54] root INFO: [Train][Epoch 20/200][Iter: 60/626]lr: 0.49679, CELoss: 3.60175, loss: 3.60175, batch_cost: 1.00248s, reader_cost: 0.46288, ips: 510.73268 images/sec, eta: 1 day, 7:32:07
[2021/12/20 21:08:24] root INFO: [Train][Epoch 20/200][Iter: 90/626]lr: 0.49677, CELoss: 3.57740, loss: 3.57740, batch_cost: 0.99756s, reader_cost: 0.42960, ips: 513.24982 images/sec, eta: 1 day, 7:22:20
[2021/12/20 21:08:53] root INFO: [Train][Epoch 20/200][Iter: 120/626]lr: 0.49675, CELoss: 3.60959, loss: 3.60959, batch_cost: 0.99398s, reader_cost: 0.43454, ips: 515.10018 images/sec, eta: 1 day, 7:15:04
[2021/12/20 21:09:23] root INFO: [Train][Epoch 20/200][Iter: 150/626]lr: 0.49672, CELoss: 3.56885, loss: 3.56885, batch_cost: 0.98938s, reader_cost: 0.43481, ips: 517.49518 images/sec, eta: 1 day, 7:05:54
[2021/12/20 21:09:53] root INFO: [Train][Epoch 20/200][Iter: 180/626]lr: 0.49670, CELoss: 3.56725, loss: 3.56725, batch_cost: 0.99579s, reader_cost: 0.44664, ips: 514.16682 images/sec, eta: 1 day, 7:17:29
[2021/12/20 21:10:22] root INFO: [Train][Epoch 20/200][Iter: 210/626]lr: 0.49668, CELoss: 3.55552, loss: 3.55552, batch_cost: 0.99101s, reader_cost: 0.44649, ips: 516.64688 images/sec, eta: 1 day, 7:07:58
[2021/12/20 21:10:54] root INFO: [Train][Epoch 20/200][Iter: 240/626]lr: 0.49666, CELoss: 3.54883, loss: 3.54883, batch_cost: 1.00039s, reader_cost: 0.45942, ips: 511.80153 images/sec, eta: 1 day, 7:25:09
[2021/12/20 21:11:23] root INFO: [Train][Epoch 20/200][Iter: 270/626]lr: 0.49664, CELoss: 3.55686, loss: 3.55686, batch_cost: 0.99476s, reader_cost: 0.45650, ips: 514.69601 images/sec, eta: 1 day, 7:14:03
[2021/12/20 21:11:53] root INFO: [Train][Epoch 20/200][Iter: 300/626]lr: 0.49661, CELoss: 3.54933, loss: 3.54933, batch_cost: 0.99569s, reader_cost: 0.45989, ips: 514.21536 images/sec, eta: 1 day, 7:15:19
[2021/12/20 21:12:21] root INFO: [Train][Epoch 20/200][Iter: 330/626]lr: 0.49659, CELoss: 3.54357, loss: 3.54357, batch_cost: 0.99134s, reader_cost: 0.45659, ips: 516.47173 images/sec, eta: 1 day, 7:06:37
[2021/12/20 21:12:52] root INFO: [Train][Epoch 20/200][Iter: 360/626]lr: 0.49657, CELoss: 3.53223, loss: 3.53223, batch_cost: 0.99481s, reader_cost: 0.46012, ips: 514.66958 images/sec, eta: 1 day, 7:12:40
[2021/12/20 21:13:22] root INFO: [Train][Epoch 20/200][Iter: 390/626]lr: 0.49655, CELoss: 3.54936, loss: 3.54936, batch_cost: 0.99468s, reader_cost: 0.45989, ips: 514.73981 images/sec, eta: 1 day, 7:11:54
[2021/12/20 21:13:53] root INFO: [Train][Epoch 20/200][Iter: 420/626]lr: 0.49652, CELoss: 3.54445, loss: 3.54445, batch_cost: 0.99625s, reader_cost: 0.46224, ips: 513.92749 images/sec, eta: 1 day, 7:14:22
[2021/12/20 21:14:21] root INFO: [Train][Epoch 20/200][Iter: 450/626]lr: 0.49650, CELoss: 3.54203, loss: 3.54203, batch_cost: 0.99225s, reader_cost: 0.45778, ips: 516.00157 images/sec, eta: 1 day, 7:06:20
[2021/12/20 21:14:52] root INFO: [Train][Epoch 20/200][Iter: 480/626]lr: 0.49648, CELoss: 3.56165, loss: 3.56165, batch_cost: 0.99492s, reader_cost: 0.46039, ips: 514.61396 images/sec, eta: 1 day, 7:10:52
[2021/12/20 21:15:22] root INFO: [Train][Epoch 20/200][Iter: 510/626]lr: 0.49646, CELoss: 3.55364, loss: 3.55364, batch_cost: 0.99581s, reader_cost: 0.46167, ips: 514.15587 images/sec, eta: 1 day, 7:12:03
[2021/12/20 21:15:53] root INFO: [Train][Epoch 20/200][Iter: 540/626]lr: 0.49643, CELoss: 3.55233, loss: 3.55233, batch_cost: 0.99752s, reader_cost: 0.46443, ips: 513.27155 images/sec, eta: 1 day, 7:14:46
[2021/12/20 21:16:22] root INFO: [Train][Epoch 20/200][Iter: 570/626]lr: 0.49641, CELoss: 3.55561, loss: 3.55561, batch_cost: 0.99638s, reader_cost: 0.46424, ips: 513.85840 images/sec, eta: 1 day, 7:12:08
[2021/12/20 21:16:53] root INFO: [Train][Epoch 20/200][Iter: 600/626]lr: 0.49639, CELoss: 3.54966, loss: 3.54966, batch_cost: 0.99800s, reader_cost: 0.46644, ips: 513.02638 images/sec, eta: 1 day, 7:14:40
[2021/12/20 21:17:17] root INFO: [Train][Epoch 20/200][Avg]CELoss: 3.55205, loss: 3.55205
[2021/12/20 21:17:24] root INFO: [Eval][Epoch 20][Iter: 0/25]CELoss: 2.18897, loss: 2.18897, top1: 0.54834, batch_cost: 6.96529s, reader_cost: 5.23102, ips: 73.50735 images/sec
[2021/12/20 21:18:03] root INFO: [Eval][Epoch 20][Avg]CELoss: 2.35905, loss: 2.35905, top1: 0.53856
[2021/12/20 21:18:04] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 21:18:04] root INFO: [Eval][Epoch 20][best metric: 0.538559999961853]
[2021/12/20 21:18:04] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_20
[2021/12/20 21:18:04] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 21:18:09] root INFO: [Train][Epoch 21/200][Iter: 0/626]lr: 0.49637, CELoss: 2.95312, loss: 2.95312, batch_cost: 1.00393s, reader_cost: 0.47241, ips: 509.99523 images/sec, eta: 1 day, 7:25:22
[2021/12/20 21:18:39] root INFO: [Train][Epoch 21/200][Iter: 30/626]lr: 0.49634, CELoss: 3.72387, loss: 3.72387, batch_cost: 1.00307s, reader_cost: 0.37292, ips: 510.43381 images/sec, eta: 1 day, 7:23:15
[2021/12/20 21:19:10] root INFO: [Train][Epoch 21/200][Iter: 60/626]lr: 0.49632, CELoss: 3.72064, loss: 3.72064, batch_cost: 1.01440s, reader_cost: 0.24547, ips: 504.73322 images/sec, eta: 1 day, 7:44:01
[2021/12/20 21:19:40] root INFO: [Train][Epoch 21/200][Iter: 90/626]lr: 0.49630, CELoss: 3.71067, loss: 3.71067, batch_cost: 1.00277s, reader_cost: 0.16317, ips: 510.58543 images/sec, eta: 1 day, 7:21:41
[2021/12/20 21:20:09] root INFO: [Train][Epoch 21/200][Iter: 120/626]lr: 0.49627, CELoss: 3.66173, loss: 3.66173, batch_cost: 1.00042s, reader_cost: 0.12302, ips: 511.78423 images/sec, eta: 1 day, 7:16:47
[2021/12/20 21:20:39] root INFO: [Train][Epoch 21/200][Iter: 150/626]lr: 0.49625, CELoss: 3.61586, loss: 3.61586, batch_cost: 0.99505s, reader_cost: 0.09894, ips: 514.54718 images/sec, eta: 1 day, 7:06:12
[2021/12/20 21:21:10] root INFO: [Train][Epoch 21/200][Iter: 180/626]lr: 0.49623, CELoss: 3.55422, loss: 3.55422, batch_cost: 1.00334s, reader_cost: 0.08349, ips: 510.29638 images/sec, eta: 1 day, 7:21:15
[2021/12/20 21:21:39] root INFO: [Train][Epoch 21/200][Iter: 210/626]lr: 0.49620, CELoss: 3.55337, loss: 3.55337, batch_cost: 0.99788s, reader_cost: 0.07244, ips: 513.08574 images/sec, eta: 1 day, 7:10:32
[2021/12/20 21:22:10] root INFO: [Train][Epoch 21/200][Iter: 240/626]lr: 0.49618, CELoss: 3.57040, loss: 3.57040, batch_cost: 1.00229s, reader_cost: 0.06445, ips: 510.82903 images/sec, eta: 1 day, 7:18:17
[2021/12/20 21:22:39] root INFO: [Train][Epoch 21/200][Iter: 270/626]lr: 0.49616, CELoss: 3.56117, loss: 3.56117, batch_cost: 0.99807s, reader_cost: 0.05801, ips: 512.98790 images/sec, eta: 1 day, 7:09:53
[2021/12/20 21:23:08] root INFO: [Train][Epoch 21/200][Iter: 300/626]lr: 0.49613, CELoss: 3.56972, loss: 3.56972, batch_cost: 0.99449s, reader_cost: 0.05309, ips: 514.83769 images/sec, eta: 1 day, 7:02:40
[2021/12/20 21:23:39] root INFO: [Train][Epoch 21/200][Iter: 330/626]lr: 0.49611, CELoss: 3.57784, loss: 3.57784, batch_cost: 0.99819s, reader_cost: 0.04889, ips: 512.92921 images/sec, eta: 1 day, 7:09:06
[2021/12/20 21:24:08] root INFO: [Train][Epoch 21/200][Iter: 360/626]lr: 0.49608, CELoss: 3.58912, loss: 3.58912, batch_cost: 0.99731s, reader_cost: 0.04566, ips: 513.38100 images/sec, eta: 1 day, 7:06:57
[2021/12/20 21:24:40] root INFO: [Train][Epoch 21/200][Iter: 390/626]lr: 0.49606, CELoss: 3.58014, loss: 3.58014, batch_cost: 1.00193s, reader_cost: 0.04309, ips: 511.01501 images/sec, eta: 1 day, 7:15:06
[2021/12/20 21:25:09] root INFO: [Train][Epoch 21/200][Iter: 420/626]lr: 0.49604, CELoss: 3.58979, loss: 3.58979, batch_cost: 0.99859s, reader_cost: 0.04077, ips: 512.72291 images/sec, eta: 1 day, 7:08:21
[2021/12/20 21:25:39] root INFO: [Train][Epoch 21/200][Iter: 450/626]lr: 0.49601, CELoss: 3.59057, loss: 3.59057, batch_cost: 0.99953s, reader_cost: 0.03856, ips: 512.24113 images/sec, eta: 1 day, 7:09:37
[2021/12/20 21:26:09] root INFO: [Train][Epoch 21/200][Iter: 480/626]lr: 0.49599, CELoss: 3.60052, loss: 3.60052, batch_cost: 0.99878s, reader_cost: 0.03651, ips: 512.62516 images/sec, eta: 1 day, 7:07:43
[2021/12/20 21:26:41] root INFO: [Train][Epoch 21/200][Iter: 510/626]lr: 0.49596, CELoss: 3.60562, loss: 3.60562, batch_cost: 1.00295s, reader_cost: 0.03488, ips: 510.49595 images/sec, eta: 1 day, 7:15:00
[2021/12/20 21:27:10] root INFO: [Train][Epoch 21/200][Iter: 540/626]lr: 0.49594, CELoss: 3.59835, loss: 3.59835, batch_cost: 1.00176s, reader_cost: 0.03336, ips: 511.09853 images/sec, eta: 1 day, 7:12:17
[2021/12/20 21:27:42] root INFO: [Train][Epoch 21/200][Iter: 570/626]lr: 0.49592, CELoss: 3.58769, loss: 3.58769, batch_cost: 1.00448s, reader_cost: 0.03190, ips: 509.71608 images/sec, eta: 1 day, 7:16:52
[2021/12/20 21:28:11] root INFO: [Train][Epoch 21/200][Iter: 600/626]lr: 0.49589, CELoss: 3.59656, loss: 3.59656, batch_cost: 1.00327s, reader_cost: 0.03060, ips: 510.32927 images/sec, eta: 1 day, 7:14:06
[2021/12/20 21:28:37] root INFO: [Train][Epoch 21/200][Avg]CELoss: 3.59020, loss: 3.59020
[2021/12/20 21:28:37] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_21
[2021/12/20 21:28:37] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 21:28:43] root INFO: [Train][Epoch 22/200][Iter: 0/626]lr: 0.49587, CELoss: 2.97893, loss: 2.97893, batch_cost: 1.01163s, reader_cost: 0.03756, ips: 506.11467 images/sec, eta: 1 day, 7:29:17
[2021/12/20 21:29:13] root INFO: [Train][Epoch 22/200][Iter: 30/626]lr: 0.49584, CELoss: 3.52753, loss: 3.52753, batch_cost: 0.97721s, reader_cost: 0.10329, ips: 523.94104 images/sec, eta: 1 day, 6:24:30
[2021/12/20 21:29:42] root INFO: [Train][Epoch 22/200][Iter: 60/626]lr: 0.49582, CELoss: 3.48308, loss: 3.48308, batch_cost: 0.97340s, reader_cost: 0.06136, ips: 525.99144 images/sec, eta: 1 day, 6:16:54
[2021/12/20 21:30:10] root INFO: [Train][Epoch 22/200][Iter: 90/626]lr: 0.49580, CELoss: 3.44394, loss: 3.44394, batch_cost: 0.95615s, reader_cost: 0.07892, ips: 535.48070 images/sec, eta: 1 day, 5:44:14
[2021/12/20 21:30:38] root INFO: [Train][Epoch 22/200][Iter: 120/626]lr: 0.49577, CELoss: 3.48710, loss: 3.48710, batch_cost: 0.95307s, reader_cost: 0.13052, ips: 537.21161 images/sec, eta: 1 day, 5:38:00
[2021/12/20 21:31:07] root INFO: [Train][Epoch 22/200][Iter: 150/626]lr: 0.49575, CELoss: 3.48974, loss: 3.48974, batch_cost: 0.95947s, reader_cost: 0.15467, ips: 533.62689 images/sec, eta: 1 day, 5:49:28
[2021/12/20 21:31:36] root INFO: [Train][Epoch 22/200][Iter: 180/626]lr: 0.49572, CELoss: 3.43590, loss: 3.43590, batch_cost: 0.95909s, reader_cost: 0.17438, ips: 533.83706 images/sec, eta: 1 day, 5:48:17
[2021/12/20 21:32:05] root INFO: [Train][Epoch 22/200][Iter: 210/626]lr: 0.49570, CELoss: 3.41524, loss: 3.41524, batch_cost: 0.95993s, reader_cost: 0.20820, ips: 533.37309 images/sec, eta: 1 day, 5:49:22
[2021/12/20 21:32:35] root INFO: [Train][Epoch 22/200][Iter: 240/626]lr: 0.49567, CELoss: 3.40364, loss: 3.40364, batch_cost: 0.96639s, reader_cost: 0.20803, ips: 529.80562 images/sec, eta: 1 day, 6:00:56
[2021/12/20 21:33:06] root INFO: [Train][Epoch 22/200][Iter: 270/626]lr: 0.49564, CELoss: 3.40583, loss: 3.40583, batch_cost: 0.97113s, reader_cost: 0.18534, ips: 527.21979 images/sec, eta: 1 day, 6:09:17
[2021/12/20 21:33:34] root INFO: [Train][Epoch 22/200][Iter: 300/626]lr: 0.49562, CELoss: 3.42254, loss: 3.42254, batch_cost: 0.96959s, reader_cost: 0.16833, ips: 528.06015 images/sec, eta: 1 day, 6:05:55
[2021/12/20 21:34:05] root INFO: [Train][Epoch 22/200][Iter: 330/626]lr: 0.49559, CELoss: 3.41006, loss: 3.41006, batch_cost: 0.97586s, reader_cost: 0.15367, ips: 524.66530 images/sec, eta: 1 day, 6:17:07
[2021/12/20 21:34:33] root INFO: [Train][Epoch 22/200][Iter: 360/626]lr: 0.49557, CELoss: 3.41507, loss: 3.41507, batch_cost: 0.97241s, reader_cost: 0.14153, ips: 526.52646 images/sec, eta: 1 day, 6:10:12
[2021/12/20 21:35:03] root INFO: [Train][Epoch 22/200][Iter: 390/626]lr: 0.49554, CELoss: 3.41336, loss: 3.41336, batch_cost: 0.97433s, reader_cost: 0.13112, ips: 525.48944 images/sec, eta: 1 day, 6:13:17
[2021/12/20 21:35:32] root INFO: [Train][Epoch 22/200][Iter: 420/626]lr: 0.49552, CELoss: 3.41461, loss: 3.41461, batch_cost: 0.97256s, reader_cost: 0.12218, ips: 526.44464 images/sec, eta: 1 day, 6:09:30
[2021/12/20 21:36:02] root INFO: [Train][Epoch 22/200][Iter: 450/626]lr: 0.49549, CELoss: 3.42547, loss: 3.42547, batch_cost: 0.97555s, reader_cost: 0.11585, ips: 524.83025 images/sec, eta: 1 day, 6:14:35
[2021/12/20 21:36:31] root INFO: [Train][Epoch 22/200][Iter: 480/626]lr: 0.49547, CELoss: 3.44668, loss: 3.44668, batch_cost: 0.97521s, reader_cost: 0.11053, ips: 525.01325 images/sec, eta: 1 day, 6:13:28
[2021/12/20 21:37:01] root INFO: [Train][Epoch 22/200][Iter: 510/626]lr: 0.49544, CELoss: 3.45043, loss: 3.45043, batch_cost: 0.97501s, reader_cost: 0.11299, ips: 525.12507 images/sec, eta: 1 day, 6:12:36
[2021/12/20 21:37:31] root INFO: [Train][Epoch 22/200][Iter: 540/626]lr: 0.49541, CELoss: 3.46446, loss: 3.46446, batch_cost: 0.97778s, reader_cost: 0.13294, ips: 523.63505 images/sec, eta: 1 day, 6:17:16
[2021/12/20 21:38:00] root INFO: [Train][Epoch 22/200][Iter: 570/626]lr: 0.49539, CELoss: 3.45450, loss: 3.45450, batch_cost: 0.97680s, reader_cost: 0.14115, ips: 524.15986 images/sec, eta: 1 day, 6:14:57
[2021/12/20 21:38:31] root INFO: [Train][Epoch 22/200][Iter: 600/626]lr: 0.49536, CELoss: 3.47522, loss: 3.47522, batch_cost: 0.97988s, reader_cost: 0.13673, ips: 522.51126 images/sec, eta: 1 day, 6:20:11
[2021/12/20 21:38:56] root INFO: [Train][Epoch 22/200][Avg]CELoss: 3.47108, loss: 3.47108
[2021/12/20 21:38:56] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_22
[2021/12/20 21:38:57] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 21:39:02] root INFO: [Train][Epoch 23/200][Iter: 0/626]lr: 0.49534, CELoss: 2.92571, loss: 2.92571, batch_cost: 0.98768s, reader_cost: 0.13879, ips: 518.38676 images/sec, eta: 1 day, 6:34:15
[2021/12/20 21:39:31] root INFO: [Train][Epoch 23/200][Iter: 30/626]lr: 0.49531, CELoss: 3.59087, loss: 3.59087, batch_cost: 0.95129s, reader_cost: 0.42886, ips: 538.21414 images/sec, eta: 1 day, 5:26:12
[2021/12/20 21:40:01] root INFO: [Train][Epoch 23/200][Iter: 60/626]lr: 0.49529, CELoss: 3.56441, loss: 3.56441, batch_cost: 0.97613s, reader_cost: 0.41100, ips: 524.51790 images/sec, eta: 1 day, 6:11:50
[2021/12/20 21:40:29] root INFO: [Train][Epoch 23/200][Iter: 90/626]lr: 0.49526, CELoss: 3.46611, loss: 3.46611, batch_cost: 0.96519s, reader_cost: 0.36831, ips: 530.46572 images/sec, eta: 1 day, 5:51:02
[2021/12/20 21:40:58] root INFO: [Train][Epoch 23/200][Iter: 120/626]lr: 0.49524, CELoss: 3.46057, loss: 3.46057, batch_cost: 0.96543s, reader_cost: 0.35551, ips: 530.33426 images/sec, eta: 1 day, 5:50:59
[2021/12/20 21:41:27] root INFO: [Train][Epoch 23/200][Iter: 150/626]lr: 0.49521, CELoss: 3.45652, loss: 3.45652, batch_cost: 0.96747s, reader_cost: 0.30736, ips: 529.21758 images/sec, eta: 1 day, 5:54:17
[2021/12/20 21:41:56] root INFO: [Train][Epoch 23/200][Iter: 180/626]lr: 0.49518, CELoss: 3.47460, loss: 3.47460, batch_cost: 0.96620s, reader_cost: 0.30947, ips: 529.91131 images/sec, eta: 1 day, 5:51:27
[2021/12/20 21:42:24] root INFO: [Train][Epoch 23/200][Iter: 210/626]lr: 0.49516, CELoss: 3.47980, loss: 3.47980, batch_cost: 0.96249s, reader_cost: 0.31740, ips: 531.95089 images/sec, eta: 1 day, 5:44:06
[2021/12/20 21:42:54] root INFO: [Train][Epoch 23/200][Iter: 240/626]lr: 0.49513, CELoss: 3.46186, loss: 3.46186, batch_cost: 0.96533s, reader_cost: 0.33115, ips: 530.39000 images/sec, eta: 1 day, 5:48:52
[2021/12/20 21:43:23] root INFO: [Train][Epoch 23/200][Iter: 270/626]lr: 0.49510, CELoss: 3.45623, loss: 3.45623, batch_cost: 0.96506s, reader_cost: 0.34507, ips: 530.53440 images/sec, eta: 1 day, 5:47:54
[2021/12/20 21:43:53] root INFO: [Train][Epoch 23/200][Iter: 300/626]lr: 0.49508, CELoss: 3.45896, loss: 3.45896, batch_cost: 0.96854s, reader_cost: 0.34132, ips: 528.63040 images/sec, eta: 1 day, 5:53:51
[2021/12/20 21:44:21] root INFO: [Train][Epoch 23/200][Iter: 330/626]lr: 0.49505, CELoss: 3.47008, loss: 3.47008, batch_cost: 0.96748s, reader_cost: 0.33555, ips: 529.20987 images/sec, eta: 1 day, 5:51:25
[2021/12/20 21:44:52] root INFO: [Train][Epoch 23/200][Iter: 360/626]lr: 0.49502, CELoss: 3.47351, loss: 3.47351, batch_cost: 0.97196s, reader_cost: 0.32260, ips: 526.77247 images/sec, eta: 1 day, 5:59:13
[2021/12/20 21:45:20] root INFO: [Train][Epoch 23/200][Iter: 390/626]lr: 0.49499, CELoss: 3.51333, loss: 3.51333, batch_cost: 0.96937s, reader_cost: 0.31056, ips: 528.17731 images/sec, eta: 1 day, 5:53:57
[2021/12/20 21:45:50] root INFO: [Train][Epoch 23/200][Iter: 420/626]lr: 0.49497, CELoss: 3.50347, loss: 3.50347, batch_cost: 0.97224s, reader_cost: 0.30853, ips: 526.61775 images/sec, eta: 1 day, 5:58:46
[2021/12/20 21:46:19] root INFO: [Train][Epoch 23/200][Iter: 450/626]lr: 0.49494, CELoss: 3.51273, loss: 3.51273, batch_cost: 0.97160s, reader_cost: 0.29916, ips: 526.96348 images/sec, eta: 1 day, 5:57:06
[2021/12/20 21:46:50] root INFO: [Train][Epoch 23/200][Iter: 480/626]lr: 0.49491, CELoss: 3.51958, loss: 3.51958, batch_cost: 0.97389s, reader_cost: 0.28216, ips: 525.72526 images/sec, eta: 1 day, 6:00:51
[2021/12/20 21:47:18] root INFO: [Train][Epoch 23/200][Iter: 510/626]lr: 0.49489, CELoss: 3.50686, loss: 3.50686, batch_cost: 0.97317s, reader_cost: 0.26742, ips: 526.11521 images/sec, eta: 1 day, 5:59:02
[2021/12/20 21:47:48] root INFO: [Train][Epoch 23/200][Iter: 540/626]lr: 0.49486, CELoss: 3.50440, loss: 3.50440, batch_cost: 0.97431s, reader_cost: 0.26259, ips: 525.49753 images/sec, eta: 1 day, 6:00:39
[2021/12/20 21:48:17] root INFO: [Train][Epoch 23/200][Iter: 570/626]lr: 0.49483, CELoss: 3.51436, loss: 3.51436, batch_cost: 0.97420s, reader_cost: 0.27077, ips: 525.56049 images/sec, eta: 1 day, 5:59:57
[2021/12/20 21:48:49] root INFO: [Train][Epoch 23/200][Iter: 600/626]lr: 0.49480, CELoss: 3.51919, loss: 3.51919, batch_cost: 0.97759s, reader_cost: 0.28219, ips: 523.73841 images/sec, eta: 1 day, 6:05:44
[2021/12/20 21:49:13] root INFO: [Train][Epoch 23/200][Avg]CELoss: 3.51500, loss: 3.51500
[2021/12/20 21:49:13] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_23
[2021/12/20 21:49:13] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 21:49:18] root INFO: [Train][Epoch 24/200][Iter: 0/626]lr: 0.49478, CELoss: 4.27069, loss: 4.27069, batch_cost: 0.98364s, reader_cost: 0.29149, ips: 520.51421 images/sec, eta: 1 day, 6:16:29
[2021/12/20 21:49:47] root INFO: [Train][Epoch 24/200][Iter: 30/626]lr: 0.49475, CELoss: 3.39844, loss: 3.39844, batch_cost: 0.94143s, reader_cost: 0.30543, ips: 543.85305 images/sec, eta: 1 day, 4:58:04
[2021/12/20 21:50:17] root INFO: [Train][Epoch 24/200][Iter: 60/626]lr: 0.49472, CELoss: 3.43450, loss: 3.43450, batch_cost: 0.96844s, reader_cost: 0.32280, ips: 528.68281 images/sec, eta: 1 day, 5:47:27
[2021/12/20 21:50:45] root INFO: [Train][Epoch 24/200][Iter: 90/626]lr: 0.49470, CELoss: 3.46381, loss: 3.46381, batch_cost: 0.96186s, reader_cost: 0.27363, ips: 532.30208 images/sec, eta: 1 day, 5:34:49
[2021/12/20 21:51:15] root INFO: [Train][Epoch 24/200][Iter: 120/626]lr: 0.49467, CELoss: 3.55593, loss: 3.55593, batch_cost: 0.96675s, reader_cost: 0.24023, ips: 529.61155 images/sec, eta: 1 day, 5:43:21
[2021/12/20 21:51:44] root INFO: [Train][Epoch 24/200][Iter: 150/626]lr: 0.49464, CELoss: 3.52993, loss: 3.52993, batch_cost: 0.96996s, reader_cost: 0.23126, ips: 527.85862 images/sec, eta: 1 day, 5:48:47
[2021/12/20 21:52:13] root INFO: [Train][Epoch 24/200][Iter: 180/626]lr: 0.49461, CELoss: 3.53152, loss: 3.53152, batch_cost: 0.96772s, reader_cost: 0.19642, ips: 529.08047 images/sec, eta: 1 day, 5:44:10
[2021/12/20 21:52:43] root INFO: [Train][Epoch 24/200][Iter: 210/626]lr: 0.49458, CELoss: 3.51705, loss: 3.51705, batch_cost: 0.97500s, reader_cost: 0.17070, ips: 525.12633 images/sec, eta: 1 day, 5:57:07
[2021/12/20 21:53:12] root INFO: [Train][Epoch 24/200][Iter: 240/626]lr: 0.49456, CELoss: 3.50830, loss: 3.50830, batch_cost: 0.97390s, reader_cost: 0.15028, ips: 525.72139 images/sec, eta: 1 day, 5:54:36
[2021/12/20 21:53:44] root INFO: [Train][Epoch 24/200][Iter: 270/626]lr: 0.49453, CELoss: 3.51513, loss: 3.51513, batch_cost: 0.98248s, reader_cost: 0.13475, ips: 521.13071 images/sec, eta: 1 day, 6:09:55
[2021/12/20 21:54:13] root INFO: [Train][Epoch 24/200][Iter: 300/626]lr: 0.49450, CELoss: 3.53004, loss: 3.53004, batch_cost: 0.98186s, reader_cost: 0.12247, ips: 521.45975 images/sec, eta: 1 day, 6:08:17
[2021/12/20 21:54:43] root INFO: [Train][Epoch 24/200][Iter: 330/626]lr: 0.49447, CELoss: 3.51208, loss: 3.51208, batch_cost: 0.98413s, reader_cost: 0.11225, ips: 520.25720 images/sec, eta: 1 day, 6:11:58
[2021/12/20 21:55:13] root INFO: [Train][Epoch 24/200][Iter: 360/626]lr: 0.49444, CELoss: 3.52352, loss: 3.52352, batch_cost: 0.98308s, reader_cost: 0.10360, ips: 520.81285 images/sec, eta: 1 day, 6:09:33
[2021/12/20 21:55:43] root INFO: [Train][Epoch 24/200][Iter: 390/626]lr: 0.49441, CELoss: 3.52847, loss: 3.52847, batch_cost: 0.98562s, reader_cost: 0.09640, ips: 519.47096 images/sec, eta: 1 day, 6:13:44
[2021/12/20 21:56:12] root INFO: [Train][Epoch 24/200][Iter: 420/626]lr: 0.49439, CELoss: 3.54009, loss: 3.54009, batch_cost: 0.98421s, reader_cost: 0.09032, ips: 520.21440 images/sec, eta: 1 day, 6:10:39
[2021/12/20 21:56:43] root INFO: [Train][Epoch 24/200][Iter: 450/626]lr: 0.49436, CELoss: 3.52462, loss: 3.52462, batch_cost: 0.98649s, reader_cost: 0.08499, ips: 519.01068 images/sec, eta: 1 day, 6:14:21
[2021/12/20 21:57:11] root INFO: [Train][Epoch 24/200][Iter: 480/626]lr: 0.49433, CELoss: 3.53377, loss: 3.53377, batch_cost: 0.98464s, reader_cost: 0.08029, ips: 519.98617 images/sec, eta: 1 day, 6:10:27
[2021/12/20 21:57:42] root INFO: [Train][Epoch 24/200][Iter: 510/626]lr: 0.49430, CELoss: 3.53791, loss: 3.53791, batch_cost: 0.98679s, reader_cost: 0.07610, ips: 518.85591 images/sec, eta: 1 day, 6:13:54
[2021/12/20 21:58:10] root INFO: [Train][Epoch 24/200][Iter: 540/626]lr: 0.49427, CELoss: 3.52841, loss: 3.52841, batch_cost: 0.98478s, reader_cost: 0.07235, ips: 519.91226 images/sec, eta: 1 day, 6:09:43
[2021/12/20 21:58:40] root INFO: [Train][Epoch 24/200][Iter: 570/626]lr: 0.49424, CELoss: 3.53854, loss: 3.53854, batch_cost: 0.98501s, reader_cost: 0.06914, ips: 519.79068 images/sec, eta: 1 day, 6:09:39
[2021/12/20 21:59:09] root INFO: [Train][Epoch 24/200][Iter: 600/626]lr: 0.49421, CELoss: 3.54052, loss: 3.54052, batch_cost: 0.98362s, reader_cost: 0.06701, ips: 520.52594 images/sec, eta: 1 day, 6:06:36
[2021/12/20 21:59:33] root INFO: [Train][Epoch 24/200][Avg]CELoss: 3.53905, loss: 3.53905
[2021/12/20 21:59:34] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_24
[2021/12/20 21:59:34] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 21:59:39] root INFO: [Train][Epoch 25/200][Iter: 0/626]lr: 0.49419, CELoss: 3.62070, loss: 3.62070, batch_cost: 0.99057s, reader_cost: 0.07267, ips: 516.87170 images/sec, eta: 1 day, 6:18:57
[2021/12/20 22:00:08] root INFO: [Train][Epoch 25/200][Iter: 30/626]lr: 0.49416, CELoss: 3.39306, loss: 3.39306, batch_cost: 0.95766s, reader_cost: 0.42619, ips: 534.63850 images/sec, eta: 1 day, 5:18:02
[2021/12/20 22:00:40] root INFO: [Train][Epoch 25/200][Iter: 60/626]lr: 0.49413, CELoss: 3.49433, loss: 3.49433, batch_cost: 1.01270s, reader_cost: 0.30360, ips: 505.58137 images/sec, eta: 1 day, 6:58:33
[2021/12/20 22:01:09] root INFO: [Train][Epoch 25/200][Iter: 90/626]lr: 0.49410, CELoss: 3.61989, loss: 3.61989, batch_cost: 0.99306s, reader_cost: 0.20194, ips: 515.57867 images/sec, eta: 1 day, 6:22:01
[2021/12/20 22:01:40] root INFO: [Train][Epoch 25/200][Iter: 120/626]lr: 0.49407, CELoss: 3.53799, loss: 3.53799, batch_cost: 1.00088s, reader_cost: 0.15315, ips: 511.55156 images/sec, eta: 1 day, 6:35:52
[2021/12/20 22:02:07] root INFO: [Train][Epoch 25/200][Iter: 150/626]lr: 0.49404, CELoss: 3.53746, loss: 3.53746, batch_cost: 0.98280s, reader_cost: 0.12379, ips: 520.95801 images/sec, eta: 1 day, 6:02:14
[2021/12/20 22:02:37] root INFO: [Train][Epoch 25/200][Iter: 180/626]lr: 0.49401, CELoss: 3.55788, loss: 3.55788, batch_cost: 0.98494s, reader_cost: 0.10458, ips: 519.82821 images/sec, eta: 1 day, 6:05:39
[2021/12/20 22:03:06] root INFO: [Train][Epoch 25/200][Iter: 210/626]lr: 0.49398, CELoss: 3.58745, loss: 3.58745, batch_cost: 0.98052s, reader_cost: 0.09120, ips: 522.17237 images/sec, eta: 1 day, 5:57:03
[2021/12/20 22:03:36] root INFO: [Train][Epoch 25/200][Iter: 240/626]lr: 0.49395, CELoss: 3.60371, loss: 3.60371, batch_cost: 0.98634s, reader_cost: 0.08141, ips: 519.09232 images/sec, eta: 1 day, 6:07:13
[2021/12/20 22:04:05] root INFO: [Train][Epoch 25/200][Iter: 270/626]lr: 0.49392, CELoss: 3.58922, loss: 3.58922, batch_cost: 0.98290s, reader_cost: 0.07389, ips: 520.90795 images/sec, eta: 1 day, 6:00:26
[2021/12/20 22:04:35] root INFO: [Train][Epoch 25/200][Iter: 300/626]lr: 0.49389, CELoss: 3.56404, loss: 3.56404, batch_cost: 0.98314s, reader_cost: 0.06760, ips: 520.78180 images/sec, eta: 1 day, 6:00:23
[2021/12/20 22:05:04] root INFO: [Train][Epoch 25/200][Iter: 330/626]lr: 0.49386, CELoss: 3.55316, loss: 3.55316, batch_cost: 0.98324s, reader_cost: 0.06246, ips: 520.72654 images/sec, eta: 1 day, 6:00:05
[2021/12/20 22:05:34] root INFO: [Train][Epoch 25/200][Iter: 360/626]lr: 0.49383, CELoss: 3.54285, loss: 3.54285, batch_cost: 0.98465s, reader_cost: 0.05810, ips: 519.97916 images/sec, eta: 1 day, 6:02:10
[2021/12/20 22:06:03] root INFO: [Train][Epoch 25/200][Iter: 390/626]lr: 0.49380, CELoss: 3.56192, loss: 3.56192, batch_cost: 0.98331s, reader_cost: 0.05434, ips: 520.69236 images/sec, eta: 1 day, 5:59:13
[2021/12/20 22:06:34] root INFO: [Train][Epoch 25/200][Iter: 420/626]lr: 0.49377, CELoss: 3.58362, loss: 3.58362, batch_cost: 0.98624s, reader_cost: 0.05149, ips: 519.14341 images/sec, eta: 1 day, 6:04:05
[2021/12/20 22:07:05] root INFO: [Train][Epoch 25/200][Iter: 450/626]lr: 0.49374, CELoss: 3.58208, loss: 3.58208, batch_cost: 0.99065s, reader_cost: 0.04896, ips: 516.83438 images/sec, eta: 1 day, 6:11:39
[2021/12/20 22:07:35] root INFO: [Train][Epoch 25/200][Iter: 480/626]lr: 0.49371, CELoss: 3.60112, loss: 3.60112, batch_cost: 0.99011s, reader_cost: 0.04679, ips: 517.11195 images/sec, eta: 1 day, 6:10:11
[2021/12/20 22:08:07] root INFO: [Train][Epoch 25/200][Iter: 510/626]lr: 0.49368, CELoss: 3.60361, loss: 3.60361, batch_cost: 0.99478s, reader_cost: 0.04486, ips: 514.68916 images/sec, eta: 1 day, 6:18:13
[2021/12/20 22:08:36] root INFO: [Train][Epoch 25/200][Iter: 540/626]lr: 0.49365, CELoss: 3.59982, loss: 3.59982, batch_cost: 0.99410s, reader_cost: 0.04314, ips: 515.04016 images/sec, eta: 1 day, 6:16:28
[2021/12/20 22:09:08] root INFO: [Train][Epoch 25/200][Iter: 570/626]lr: 0.49362, CELoss: 3.58356, loss: 3.58356, batch_cost: 0.99790s, reader_cost: 0.04157, ips: 513.07840 images/sec, eta: 1 day, 6:22:55
[2021/12/20 22:09:38] root INFO: [Train][Epoch 25/200][Iter: 600/626]lr: 0.49359, CELoss: 3.58002, loss: 3.58002, batch_cost: 0.99724s, reader_cost: 0.03998, ips: 513.41797 images/sec, eta: 1 day, 6:21:13
[2021/12/20 22:10:03] root INFO: [Train][Epoch 25/200][Avg]CELoss: 3.57703, loss: 3.57703
[2021/12/20 22:10:11] root INFO: [Eval][Epoch 25][Iter: 0/25]CELoss: 2.18386, loss: 2.18386, top1: 0.56836, batch_cost: 8.08962s, reader_cost: 7.67074, ips: 63.29097 images/sec
[2021/12/20 22:10:53] root INFO: [Eval][Epoch 25][Avg]CELoss: 2.26214, loss: 2.26214, top1: 0.56714
[2021/12/20 22:10:53] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 22:10:53] root INFO: [Eval][Epoch 25][best metric: 0.5671400001716613]
[2021/12/20 22:10:53] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_25
[2021/12/20 22:10:53] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 22:10:58] root INFO: [Train][Epoch 26/200][Iter: 0/626]lr: 0.49357, CELoss: 2.77920, loss: 2.77920, batch_cost: 1.00412s, reader_cost: 0.04603, ips: 509.89722 images/sec, eta: 1 day, 6:33:21
[2021/12/20 22:11:28] root INFO: [Train][Epoch 26/200][Iter: 30/626]lr: 0.49354, CELoss: 3.43033, loss: 3.43033, batch_cost: 0.96572s, reader_cost: 0.33769, ips: 530.17665 images/sec, eta: 1 day, 5:22:45
[2021/12/20 22:11:57] root INFO: [Train][Epoch 26/200][Iter: 60/626]lr: 0.49350, CELoss: 3.37803, loss: 3.37803, batch_cost: 0.97024s, reader_cost: 0.32456, ips: 527.70720 images/sec, eta: 1 day, 5:30:31
[2021/12/20 22:12:25] root INFO: [Train][Epoch 26/200][Iter: 90/626]lr: 0.49347, CELoss: 3.36705, loss: 3.36705, batch_cost: 0.96279s, reader_cost: 0.25797, ips: 531.79059 images/sec, eta: 1 day, 5:16:26
[2021/12/20 22:12:55] root INFO: [Train][Epoch 26/200][Iter: 120/626]lr: 0.49344, CELoss: 3.34957, loss: 3.34957, batch_cost: 0.96701s, reader_cost: 0.23681, ips: 529.46721 images/sec, eta: 1 day, 5:23:39
[2021/12/20 22:13:25] root INFO: [Train][Epoch 26/200][Iter: 150/626]lr: 0.49341, CELoss: 3.37239, loss: 3.37239, batch_cost: 0.97753s, reader_cost: 0.28867, ips: 523.77155 images/sec, eta: 1 day, 5:42:21
[2021/12/20 22:13:52] root INFO: [Train][Epoch 26/200][Iter: 180/626]lr: 0.49338, CELoss: 3.41906, loss: 3.41906, batch_cost: 0.96549s, reader_cost: 0.30630, ips: 530.29843 images/sec, eta: 1 day, 5:19:56
[2021/12/20 22:14:23] root INFO: [Train][Epoch 26/200][Iter: 210/626]lr: 0.49335, CELoss: 3.45058, loss: 3.45058, batch_cost: 0.97386s, reader_cost: 0.31254, ips: 525.74022 images/sec, eta: 1 day, 5:34:42
[2021/12/20 22:14:52] root INFO: [Train][Epoch 26/200][Iter: 240/626]lr: 0.49332, CELoss: 3.44866, loss: 3.44866, batch_cost: 0.97114s, reader_cost: 0.29864, ips: 527.21500 images/sec, eta: 1 day, 5:29:15
[2021/12/20 22:15:23] root INFO: [Train][Epoch 26/200][Iter: 270/626]lr: 0.49329, CELoss: 3.42937, loss: 3.42937, batch_cost: 0.97764s, reader_cost: 0.27266, ips: 523.70972 images/sec, eta: 1 day, 5:40:36
[2021/12/20 22:15:52] root INFO: [Train][Epoch 26/200][Iter: 300/626]lr: 0.49326, CELoss: 3.43983, loss: 3.43983, batch_cost: 0.97681s, reader_cost: 0.24571, ips: 524.15291 images/sec, eta: 1 day, 5:38:36
[2021/12/20 22:16:23] root INFO: [Train][Epoch 26/200][Iter: 330/626]lr: 0.49323, CELoss: 3.46189, loss: 3.46189, batch_cost: 0.98280s, reader_cost: 0.22396, ips: 520.96000 images/sec, eta: 1 day, 5:49:01
[2021/12/20 22:16:53] root INFO: [Train][Epoch 26/200][Iter: 360/626]lr: 0.49319, CELoss: 3.47298, loss: 3.47298, batch_cost: 0.98452s, reader_cost: 0.20606, ips: 520.04963 images/sec, eta: 1 day, 5:51:39
[2021/12/20 22:17:24] root INFO: [Train][Epoch 26/200][Iter: 390/626]lr: 0.49316, CELoss: 3.47037, loss: 3.47037, batch_cost: 0.98932s, reader_cost: 0.19094, ips: 517.52958 images/sec, eta: 1 day, 5:59:53
[2021/12/20 22:17:53] root INFO: [Train][Epoch 26/200][Iter: 420/626]lr: 0.49313, CELoss: 3.46690, loss: 3.46690, batch_cost: 0.98711s, reader_cost: 0.17774, ips: 518.68677 images/sec, eta: 1 day, 5:55:23
[2021/12/20 22:18:26] root INFO: [Train][Epoch 26/200][Iter: 450/626]lr: 0.49310, CELoss: 3.46195, loss: 3.46195, batch_cost: 0.99332s, reader_cost: 0.16630, ips: 515.44242 images/sec, eta: 1 day, 6:06:11
[2021/12/20 22:18:55] root INFO: [Train][Epoch 26/200][Iter: 480/626]lr: 0.49307, CELoss: 3.47305, loss: 3.47305, batch_cost: 0.99328s, reader_cost: 0.15649, ips: 515.46466 images/sec, eta: 1 day, 6:05:36
[2021/12/20 22:19:27] root INFO: [Train][Epoch 26/200][Iter: 510/626]lr: 0.49304, CELoss: 3.46787, loss: 3.46787, batch_cost: 0.99607s, reader_cost: 0.14768, ips: 514.01765 images/sec, eta: 1 day, 6:10:11
[2021/12/20 22:19:56] root INFO: [Train][Epoch 26/200][Iter: 540/626]lr: 0.49300, CELoss: 3.46711, loss: 3.46711, batch_cost: 0.99615s, reader_cost: 0.13980, ips: 513.97900 images/sec, eta: 1 day, 6:09:50
[2021/12/20 22:20:28] root INFO: [Train][Epoch 26/200][Iter: 570/626]lr: 0.49297, CELoss: 3.47063, loss: 3.47063, batch_cost: 0.99817s, reader_cost: 0.13309, ips: 512.93962 images/sec, eta: 1 day, 6:13:00
[2021/12/20 22:20:57] root INFO: [Train][Epoch 26/200][Iter: 600/626]lr: 0.49294, CELoss: 3.47262, loss: 3.47262, batch_cost: 0.99740s, reader_cost: 0.12770, ips: 513.33274 images/sec, eta: 1 day, 6:11:07
[2021/12/20 22:21:22] root INFO: [Train][Epoch 26/200][Avg]CELoss: 3.47580, loss: 3.47580
[2021/12/20 22:21:22] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_26
[2021/12/20 22:21:22] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 22:21:28] root INFO: [Train][Epoch 27/200][Iter: 0/626]lr: 0.49291, CELoss: 2.86532, loss: 2.86532, batch_cost: 1.00434s, reader_cost: 0.13159, ips: 509.78688 images/sec, eta: 1 day, 6:23:16
[2021/12/20 22:21:58] root INFO: [Train][Epoch 27/200][Iter: 30/626]lr: 0.49288, CELoss: 3.44468, loss: 3.44468, batch_cost: 0.99461s, reader_cost: 0.45952, ips: 514.77345 images/sec, eta: 1 day, 6:05:07
[2021/12/20 22:22:28] root INFO: [Train][Epoch 27/200][Iter: 60/626]lr: 0.49285, CELoss: 3.49007, loss: 3.49007, batch_cost: 1.00479s, reader_cost: 0.37103, ips: 509.55912 images/sec, eta: 1 day, 6:23:05
[2021/12/20 22:22:57] root INFO: [Train][Epoch 27/200][Iter: 90/626]lr: 0.49282, CELoss: 3.41747, loss: 3.41747, batch_cost: 0.99460s, reader_cost: 0.35983, ips: 514.78098 images/sec, eta: 1 day, 6:04:06
[2021/12/20 22:23:27] root INFO: [Train][Epoch 27/200][Iter: 120/626]lr: 0.49278, CELoss: 3.52136, loss: 3.52136, batch_cost: 0.99329s, reader_cost: 0.35814, ips: 515.45620 images/sec, eta: 1 day, 6:01:14
[2021/12/20 22:23:56] root INFO: [Train][Epoch 27/200][Iter: 150/626]lr: 0.49275, CELoss: 3.51623, loss: 3.51623, batch_cost: 0.98648s, reader_cost: 0.35616, ips: 519.01958 images/sec, eta: 1 day, 5:48:22
[2021/12/20 22:24:27] root INFO: [Train][Epoch 27/200][Iter: 180/626]lr: 0.49272, CELoss: 3.51030, loss: 3.51030, batch_cost: 0.99311s, reader_cost: 0.35411, ips: 515.55426 images/sec, eta: 1 day, 5:59:54
[2021/12/20 22:24:56] root INFO: [Train][Epoch 27/200][Iter: 210/626]lr: 0.49269, CELoss: 3.54431, loss: 3.54431, batch_cost: 0.99070s, reader_cost: 0.35591, ips: 516.80742 images/sec, eta: 1 day, 5:55:02
[2021/12/20 22:25:27] root INFO: [Train][Epoch 27/200][Iter: 240/626]lr: 0.49265, CELoss: 3.52820, loss: 3.52820, batch_cost: 0.99671s, reader_cost: 0.37348, ips: 513.69101 images/sec, eta: 1 day, 6:05:26
[2021/12/20 22:25:58] root INFO: [Train][Epoch 27/200][Iter: 270/626]lr: 0.49262, CELoss: 3.54308, loss: 3.54308, batch_cost: 0.99893s, reader_cost: 0.36848, ips: 512.54948 images/sec, eta: 1 day, 6:08:57
[2021/12/20 22:26:26] root INFO: [Train][Epoch 27/200][Iter: 300/626]lr: 0.49259, CELoss: 3.51247, loss: 3.51247, batch_cost: 0.99444s, reader_cost: 0.34964, ips: 514.86072 images/sec, eta: 1 day, 6:00:20
[2021/12/20 22:26:57] root INFO: [Train][Epoch 27/200][Iter: 330/626]lr: 0.49256, CELoss: 3.51509, loss: 3.51509, batch_cost: 0.99635s, reader_cost: 0.32489, ips: 513.87406 images/sec, eta: 1 day, 6:03:17
[2021/12/20 22:27:29] root INFO: [Train][Epoch 27/200][Iter: 360/626]lr: 0.49252, CELoss: 3.52812, loss: 3.52812, batch_cost: 1.00221s, reader_cost: 0.34168, ips: 510.87102 images/sec, eta: 1 day, 6:13:23
[2021/12/20 22:27:58] root INFO: [Train][Epoch 27/200][Iter: 390/626]lr: 0.49249, CELoss: 3.54837, loss: 3.54837, batch_cost: 1.00149s, reader_cost: 0.34997, ips: 511.23921 images/sec, eta: 1 day, 6:11:35
[2021/12/20 22:28:28] root INFO: [Train][Epoch 27/200][Iter: 420/626]lr: 0.49246, CELoss: 3.55723, loss: 3.55723, batch_cost: 1.00144s, reader_cost: 0.35522, ips: 511.26252 images/sec, eta: 1 day, 6:11:00
[2021/12/20 22:28:59] root INFO: [Train][Epoch 27/200][Iter: 450/626]lr: 0.49242, CELoss: 3.54821, loss: 3.54821, batch_cost: 1.00324s, reader_cost: 0.35892, ips: 510.34707 images/sec, eta: 1 day, 6:13:45
[2021/12/20 22:29:31] root INFO: [Train][Epoch 27/200][Iter: 480/626]lr: 0.49239, CELoss: 3.54059, loss: 3.54059, batch_cost: 1.00691s, reader_cost: 0.36895, ips: 508.48482 images/sec, eta: 1 day, 6:19:53
[2021/12/20 22:30:01] root INFO: [Train][Epoch 27/200][Iter: 510/626]lr: 0.49236, CELoss: 3.56394, loss: 3.56394, batch_cost: 1.00566s, reader_cost: 0.37307, ips: 509.12090 images/sec, eta: 1 day, 6:17:07
[2021/12/20 22:30:32] root INFO: [Train][Epoch 27/200][Iter: 540/626]lr: 0.49232, CELoss: 3.55453, loss: 3.55453, batch_cost: 1.00743s, reader_cost: 0.37786, ips: 508.22590 images/sec, eta: 1 day, 6:19:48
[2021/12/20 22:31:02] root INFO: [Train][Epoch 27/200][Iter: 570/626]lr: 0.49229, CELoss: 3.56936, loss: 3.56936, batch_cost: 1.00762s, reader_cost: 0.38151, ips: 508.12787 images/sec, eta: 1 day, 6:19:39
[2021/12/20 22:31:34] root INFO: [Train][Epoch 27/200][Iter: 600/626]lr: 0.49226, CELoss: 3.56360, loss: 3.56360, batch_cost: 1.01008s, reader_cost: 0.38814, ips: 506.88949 images/sec, eta: 1 day, 6:23:36
[2021/12/20 22:31:59] root INFO: [Train][Epoch 27/200][Avg]CELoss: 3.55060, loss: 3.55060
[2021/12/20 22:31:59] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_27
[2021/12/20 22:31:59] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 22:32:04] root INFO: [Train][Epoch 28/200][Iter: 0/626]lr: 0.49223, CELoss: 3.04494, loss: 3.04494, batch_cost: 1.01630s, reader_cost: 0.39813, ips: 503.78712 images/sec, eta: 1 day, 6:34:23
[2021/12/20 22:32:33] root INFO: [Train][Epoch 28/200][Iter: 30/626]lr: 0.49220, CELoss: 3.58681, loss: 3.58681, batch_cost: 0.96388s, reader_cost: 0.39929, ips: 531.18725 images/sec, eta: 1 day, 4:59:17
[2021/12/20 22:33:04] root INFO: [Train][Epoch 28/200][Iter: 60/626]lr: 0.49216, CELoss: 3.51844, loss: 3.51844, batch_cost: 0.98686s, reader_cost: 0.43914, ips: 518.81521 images/sec, eta: 1 day, 5:40:16
[2021/12/20 22:33:32] root INFO: [Train][Epoch 28/200][Iter: 90/626]lr: 0.49213, CELoss: 3.59201, loss: 3.59201, batch_cost: 0.96936s, reader_cost: 0.42651, ips: 528.18125 images/sec, eta: 1 day, 5:08:12
[2021/12/20 22:34:01] root INFO: [Train][Epoch 28/200][Iter: 120/626]lr: 0.49209, CELoss: 3.66651, loss: 3.66651, batch_cost: 0.96946s, reader_cost: 0.42902, ips: 528.12887 images/sec, eta: 1 day, 5:07:54
[2021/12/20 22:34:30] root INFO: [Train][Epoch 28/200][Iter: 150/626]lr: 0.49206, CELoss: 3.58810, loss: 3.58810, batch_cost: 0.96698s, reader_cost: 0.43058, ips: 529.48546 images/sec, eta: 1 day, 5:02:56
[2021/12/20 22:35:00] root INFO: [Train][Epoch 28/200][Iter: 180/626]lr: 0.49203, CELoss: 3.60465, loss: 3.60465, batch_cost: 0.97472s, reader_cost: 0.44285, ips: 525.27940 images/sec, eta: 1 day, 5:16:24
[2021/12/20 22:35:28] root INFO: [Train][Epoch 28/200][Iter: 210/626]lr: 0.49199, CELoss: 3.61938, loss: 3.61938, batch_cost: 0.96859s, reader_cost: 0.43979, ips: 528.60264 images/sec, eta: 1 day, 5:04:53
[2021/12/20 22:35:59] root INFO: [Train][Epoch 28/200][Iter: 240/626]lr: 0.49196, CELoss: 3.59890, loss: 3.59890, batch_cost: 0.97882s, reader_cost: 0.45236, ips: 523.08120 images/sec, eta: 1 day, 5:22:48
[2021/12/20 22:36:28] root INFO: [Train][Epoch 28/200][Iter: 270/626]lr: 0.49192, CELoss: 3.58809, loss: 3.58809, batch_cost: 0.97592s, reader_cost: 0.45104, ips: 524.63555 images/sec, eta: 1 day, 5:17:06
[2021/12/20 22:36:58] root INFO: [Train][Epoch 28/200][Iter: 300/626]lr: 0.49189, CELoss: 3.57493, loss: 3.57493, batch_cost: 0.97940s, reader_cost: 0.45591, ips: 522.76904 images/sec, eta: 1 day, 5:22:53
[2021/12/20 22:37:27] root INFO: [Train][Epoch 28/200][Iter: 330/626]lr: 0.49186, CELoss: 3.58399, loss: 3.58399, batch_cost: 0.97762s, reader_cost: 0.45498, ips: 523.72075 images/sec, eta: 1 day, 5:19:11
[2021/12/20 22:37:58] root INFO: [Train][Epoch 28/200][Iter: 360/626]lr: 0.49182, CELoss: 3.57741, loss: 3.57741, batch_cost: 0.98271s, reader_cost: 0.46067, ips: 521.01004 images/sec, eta: 1 day, 5:27:51
[2021/12/20 22:38:28] root INFO: [Train][Epoch 28/200][Iter: 390/626]lr: 0.49179, CELoss: 3.58082, loss: 3.58082, batch_cost: 0.98322s, reader_cost: 0.46157, ips: 520.74037 images/sec, eta: 1 day, 5:28:16
[2021/12/20 22:38:59] root INFO: [Train][Epoch 28/200][Iter: 420/626]lr: 0.49175, CELoss: 3.58902, loss: 3.58902, batch_cost: 0.98747s, reader_cost: 0.46625, ips: 518.49934 images/sec, eta: 1 day, 5:35:25
[2021/12/20 22:39:30] root INFO: [Train][Epoch 28/200][Iter: 450/626]lr: 0.49172, CELoss: 3.58603, loss: 3.58603, batch_cost: 0.98956s, reader_cost: 0.46863, ips: 517.39929 images/sec, eta: 1 day, 5:38:42
[2021/12/20 22:40:01] root INFO: [Train][Epoch 28/200][Iter: 480/626]lr: 0.49168, CELoss: 3.58418, loss: 3.58418, batch_cost: 0.99224s, reader_cost: 0.47168, ips: 516.00402 images/sec, eta: 1 day, 5:43:01
[2021/12/20 22:40:30] root INFO: [Train][Epoch 28/200][Iter: 510/626]lr: 0.49165, CELoss: 3.57744, loss: 3.57744, batch_cost: 0.99131s, reader_cost: 0.47106, ips: 516.48885 images/sec, eta: 1 day, 5:40:51
[2021/12/20 22:41:01] root INFO: [Train][Epoch 28/200][Iter: 540/626]lr: 0.49161, CELoss: 3.56621, loss: 3.56621, batch_cost: 0.99392s, reader_cost: 0.47403, ips: 515.13035 images/sec, eta: 1 day, 5:45:03
[2021/12/20 22:41:30] root INFO: [Train][Epoch 28/200][Iter: 570/626]lr: 0.49158, CELoss: 3.55743, loss: 3.55743, batch_cost: 0.99164s, reader_cost: 0.47200, ips: 516.31672 images/sec, eta: 1 day, 5:40:27
[2021/12/20 22:42:02] root INFO: [Train][Epoch 28/200][Iter: 600/626]lr: 0.49155, CELoss: 3.56305, loss: 3.56305, batch_cost: 0.99559s, reader_cost: 0.47607, ips: 514.26681 images/sec, eta: 1 day, 5:47:03
[2021/12/20 22:42:26] root INFO: [Train][Epoch 28/200][Avg]CELoss: 3.55623, loss: 3.55623
[2021/12/20 22:42:26] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_28
[2021/12/20 22:42:26] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 22:42:31] root INFO: [Train][Epoch 29/200][Iter: 0/626]lr: 0.49152, CELoss: 3.57284, loss: 3.57284, batch_cost: 1.00103s, reader_cost: 0.48164, ips: 511.47445 images/sec, eta: 1 day, 5:56:22
[2021/12/20 22:43:00] root INFO: [Train][Epoch 29/200][Iter: 30/626]lr: 0.49148, CELoss: 3.66475, loss: 3.66475, batch_cost: 0.96050s, reader_cost: 0.36767, ips: 533.05471 images/sec, eta: 1 day, 4:43:10
[2021/12/20 22:43:30] root INFO: [Train][Epoch 29/200][Iter: 60/626]lr: 0.49144, CELoss: 3.65770, loss: 3.65770, batch_cost: 0.97373s, reader_cost: 0.34932, ips: 525.81302 images/sec, eta: 1 day, 5:06:25
[2021/12/20 22:44:00] root INFO: [Train][Epoch 29/200][Iter: 90/626]lr: 0.49141, CELoss: 3.60725, loss: 3.60725, batch_cost: 0.98221s, reader_cost: 0.38260, ips: 521.27467 images/sec, eta: 1 day, 5:21:07
[2021/12/20 22:44:31] root INFO: [Train][Epoch 29/200][Iter: 120/626]lr: 0.49137, CELoss: 3.67626, loss: 3.67626, batch_cost: 0.99296s, reader_cost: 0.40893, ips: 515.62830 images/sec, eta: 1 day, 5:39:55
[2021/12/20 22:45:00] root INFO: [Train][Epoch 29/200][Iter: 150/626]lr: 0.49134, CELoss: 3.66810, loss: 3.66810, batch_cost: 0.98753s, reader_cost: 0.41618, ips: 518.46366 images/sec, eta: 1 day, 5:29:41
[2021/12/20 22:45:31] root INFO: [Train][Epoch 29/200][Iter: 180/626]lr: 0.49130, CELoss: 3.65245, loss: 3.65245, batch_cost: 0.99877s, reader_cost: 0.43697, ips: 512.62835 images/sec, eta: 1 day, 5:49:20
[2021/12/20 22:46:00] root INFO: [Train][Epoch 29/200][Iter: 210/626]lr: 0.49127, CELoss: 3.61917, loss: 3.61917, batch_cost: 0.99534s, reader_cost: 0.43987, ips: 514.39966 images/sec, eta: 1 day, 5:42:40
[2021/12/20 22:46:32] root INFO: [Train][Epoch 29/200][Iter: 240/626]lr: 0.49123, CELoss: 3.60780, loss: 3.60780, batch_cost: 1.00129s, reader_cost: 0.45073, ips: 511.34236 images/sec, eta: 1 day, 5:52:50
[2021/12/20 22:47:01] root INFO: [Train][Epoch 29/200][Iter: 270/626]lr: 0.49120, CELoss: 3.60539, loss: 3.60539, batch_cost: 0.99754s, reader_cost: 0.45106, ips: 513.26183 images/sec, eta: 1 day, 5:45:37
[2021/12/20 22:47:32] root INFO: [Train][Epoch 29/200][Iter: 300/626]lr: 0.49116, CELoss: 3.60885, loss: 3.60885, batch_cost: 1.00188s, reader_cost: 0.45841, ips: 511.04053 images/sec, eta: 1 day, 5:52:53
[2021/12/20 22:48:00] root INFO: [Train][Epoch 29/200][Iter: 330/626]lr: 0.49113, CELoss: 3.62097, loss: 3.62097, batch_cost: 0.99662s, reader_cost: 0.45563, ips: 513.73721 images/sec, eta: 1 day, 5:42:59
[2021/12/20 22:48:31] root INFO: [Train][Epoch 29/200][Iter: 360/626]lr: 0.49109, CELoss: 3.61327, loss: 3.61327, batch_cost: 1.00030s, reader_cost: 0.46134, ips: 511.84794 images/sec, eta: 1 day, 5:49:03
[2021/12/20 22:49:01] root INFO: [Train][Epoch 29/200][Iter: 390/626]lr: 0.49105, CELoss: 3.61344, loss: 3.61344, batch_cost: 0.99949s, reader_cost: 0.46213, ips: 512.26022 images/sec, eta: 1 day, 5:47:07
[2021/12/20 22:49:32] root INFO: [Train][Epoch 29/200][Iter: 420/626]lr: 0.49102, CELoss: 3.60141, loss: 3.60141, batch_cost: 1.00157s, reader_cost: 0.46573, ips: 511.19566 images/sec, eta: 1 day, 5:50:20
[2021/12/20 22:50:02] root INFO: [Train][Epoch 29/200][Iter: 450/626]lr: 0.49098, CELoss: 3.58055, loss: 3.58055, batch_cost: 1.00033s, reader_cost: 0.46569, ips: 511.82859 images/sec, eta: 1 day, 5:47:37
[2021/12/20 22:50:33] root INFO: [Train][Epoch 29/200][Iter: 480/626]lr: 0.49095, CELoss: 3.58093, loss: 3.58093, batch_cost: 1.00443s, reader_cost: 0.47087, ips: 509.74364 images/sec, eta: 1 day, 5:54:26
[2021/12/20 22:51:03] root INFO: [Train][Epoch 29/200][Iter: 510/626]lr: 0.49091, CELoss: 3.57827, loss: 3.57827, batch_cost: 1.00283s, reader_cost: 0.47020, ips: 510.55588 images/sec, eta: 1 day, 5:51:05
[2021/12/20 22:51:35] root INFO: [Train][Epoch 29/200][Iter: 540/626]lr: 0.49087, CELoss: 3.58382, loss: 3.58382, batch_cost: 1.00596s, reader_cost: 0.47414, ips: 508.96683 images/sec, eta: 1 day, 5:56:10
[2021/12/20 22:52:04] root INFO: [Train][Epoch 29/200][Iter: 570/626]lr: 0.49084, CELoss: 3.57066, loss: 3.57066, batch_cost: 1.00550s, reader_cost: 0.47438, ips: 509.19742 images/sec, eta: 1 day, 5:54:51
[2021/12/20 22:52:36] root INFO: [Train][Epoch 29/200][Iter: 600/626]lr: 0.49080, CELoss: 3.55179, loss: 3.55179, batch_cost: 1.00701s, reader_cost: 0.47666, ips: 508.43710 images/sec, eta: 1 day, 5:57:02
[2021/12/20 22:53:01] root INFO: [Train][Epoch 29/200][Avg]CELoss: 3.55166, loss: 3.55166
[2021/12/20 22:53:01] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_29
[2021/12/20 22:53:01] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 22:53:06] root INFO: [Train][Epoch 30/200][Iter: 0/626]lr: 0.49077, CELoss: 5.31214, loss: 5.31214, batch_cost: 1.01349s, reader_cost: 0.48409, ips: 505.18257 images/sec, eta: 1 day, 6:08:10
[2021/12/20 22:53:36] root INFO: [Train][Epoch 30/200][Iter: 30/626]lr: 0.49073, CELoss: 3.68580, loss: 3.68580, batch_cost: 0.96935s, reader_cost: 0.17481, ips: 528.18771 images/sec, eta: 1 day, 4:48:56
[2021/12/20 22:54:06] root INFO: [Train][Epoch 30/200][Iter: 60/626]lr: 0.49070, CELoss: 3.40744, loss: 3.40744, batch_cost: 0.98597s, reader_cost: 0.10249, ips: 519.28332 images/sec, eta: 1 day, 5:18:05
[2021/12/20 22:54:35] root INFO: [Train][Epoch 30/200][Iter: 90/626]lr: 0.49066, CELoss: 3.48386, loss: 3.48386, batch_cost: 0.97975s, reader_cost: 0.07382, ips: 522.58025 images/sec, eta: 1 day, 5:06:30
[2021/12/20 22:55:04] root INFO: [Train][Epoch 30/200][Iter: 120/626]lr: 0.49062, CELoss: 3.46117, loss: 3.46117, batch_cost: 0.98024s, reader_cost: 0.05695, ips: 522.32214 images/sec, eta: 1 day, 5:06:52
[2021/12/20 22:55:35] root INFO: [Train][Epoch 30/200][Iter: 150/626]lr: 0.49059, CELoss: 3.52364, loss: 3.52364, batch_cost: 0.98911s, reader_cost: 0.04719, ips: 517.63681 images/sec, eta: 1 day, 5:22:11
[2021/12/20 22:56:04] root INFO: [Train][Epoch 30/200][Iter: 180/626]lr: 0.49055, CELoss: 3.54706, loss: 3.54706, batch_cost: 0.98491s, reader_cost: 0.04091, ips: 519.84438 images/sec, eta: 1 day, 5:14:13
[2021/12/20 22:56:35] root INFO: [Train][Epoch 30/200][Iter: 210/626]lr: 0.49051, CELoss: 3.50810, loss: 3.50810, batch_cost: 0.99038s, reader_cost: 0.03657, ips: 516.97456 images/sec, eta: 1 day, 5:23:27
[2021/12/20 22:57:04] root INFO: [Train][Epoch 30/200][Iter: 240/626]lr: 0.49048, CELoss: 3.48592, loss: 3.48592, batch_cost: 0.98730s, reader_cost: 0.03338, ips: 518.58827 images/sec, eta: 1 day, 5:17:29
[2021/12/20 22:57:35] root INFO: [Train][Epoch 30/200][Iter: 270/626]lr: 0.49044, CELoss: 3.45362, loss: 3.45362, batch_cost: 0.99292s, reader_cost: 0.03097, ips: 515.65039 images/sec, eta: 1 day, 5:27:00
[2021/12/20 22:58:04] root INFO: [Train][Epoch 30/200][Iter: 300/626]lr: 0.49040, CELoss: 3.46231, loss: 3.46231, batch_cost: 0.99086s, reader_cost: 0.02910, ips: 516.72449 images/sec, eta: 1 day, 5:22:50
[2021/12/20 22:58:36] root INFO: [Train][Epoch 30/200][Iter: 330/626]lr: 0.49037, CELoss: 3.48169, loss: 3.48169, batch_cost: 0.99745s, reader_cost: 0.02708, ips: 513.30959 images/sec, eta: 1 day, 5:34:03
[2021/12/20 22:59:05] root INFO: [Train][Epoch 30/200][Iter: 360/626]lr: 0.49033, CELoss: 3.47758, loss: 3.47758, batch_cost: 0.99422s, reader_cost: 0.02573, ips: 514.97410 images/sec, eta: 1 day, 5:27:49
[2021/12/20 22:59:35] root INFO: [Train][Epoch 30/200][Iter: 390/626]lr: 0.49029, CELoss: 3.45226, loss: 3.45226, batch_cost: 0.99615s, reader_cost: 0.02463, ips: 513.97672 images/sec, eta: 1 day, 5:30:45
[2021/12/20 23:00:04] root INFO: [Train][Epoch 30/200][Iter: 420/626]lr: 0.49025, CELoss: 3.44886, loss: 3.44886, batch_cost: 0.99341s, reader_cost: 0.02358, ips: 515.39833 images/sec, eta: 1 day, 5:25:22
[2021/12/20 23:00:35] root INFO: [Train][Epoch 30/200][Iter: 450/626]lr: 0.49022, CELoss: 3.44886, loss: 3.44886, batch_cost: 0.99645s, reader_cost: 0.02258, ips: 513.82591 images/sec, eta: 1 day, 5:30:17
[2021/12/20 23:01:03] root INFO: [Train][Epoch 30/200][Iter: 480/626]lr: 0.49018, CELoss: 3.45161, loss: 3.45161, batch_cost: 0.99334s, reader_cost: 0.02181, ips: 515.43274 images/sec, eta: 1 day, 5:24:16
[2021/12/20 23:01:35] root INFO: [Train][Epoch 30/200][Iter: 510/626]lr: 0.49014, CELoss: 3.44459, loss: 3.44459, batch_cost: 0.99588s, reader_cost: 0.02119, ips: 514.11932 images/sec, eta: 1 day, 5:28:16
[2021/12/20 23:02:04] root INFO: [Train][Epoch 30/200][Iter: 540/626]lr: 0.49010, CELoss: 3.45961, loss: 3.45961, batch_cost: 0.99570s, reader_cost: 0.02066, ips: 514.20990 images/sec, eta: 1 day, 5:27:28
[2021/12/20 23:02:35] root INFO: [Train][Epoch 30/200][Iter: 570/626]lr: 0.49007, CELoss: 3.46202, loss: 3.46202, batch_cost: 0.99786s, reader_cost: 0.02014, ips: 513.09929 images/sec, eta: 1 day, 5:30:47
[2021/12/20 23:03:05] root INFO: [Train][Epoch 30/200][Iter: 600/626]lr: 0.49003, CELoss: 3.45884, loss: 3.45884, batch_cost: 0.99721s, reader_cost: 0.01965, ips: 513.43405 images/sec, eta: 1 day, 5:29:08
[2021/12/20 23:03:29] root INFO: [Train][Epoch 30/200][Avg]CELoss: 3.46207, loss: 3.46207
[2021/12/20 23:03:36] root INFO: [Eval][Epoch 30][Iter: 0/25]CELoss: 2.12570, loss: 2.12570, top1: 0.58496, batch_cost: 6.72367s, reader_cost: 5.52618, ips: 76.14891 images/sec
[2021/12/20 23:04:13] root INFO: [Eval][Epoch 30][Avg]CELoss: 2.20500, loss: 2.20500, top1: 0.58258
[2021/12/20 23:04:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 23:04:14] root INFO: [Eval][Epoch 30][best metric: 0.5825799997329711]
[2021/12/20 23:04:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_30
[2021/12/20 23:04:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 23:04:19] root INFO: [Train][Epoch 31/200][Iter: 0/626]lr: 0.49000, CELoss: 2.75379, loss: 2.75379, batch_cost: 1.00211s, reader_cost: 0.02645, ips: 510.92301 images/sec, eta: 1 day, 5:37:24
[2021/12/20 23:04:49] root INFO: [Train][Epoch 31/200][Iter: 30/626]lr: 0.48996, CELoss: 3.24287, loss: 3.24287, batch_cost: 0.98702s, reader_cost: 0.45643, ips: 518.73395 images/sec, eta: 1 day, 5:10:08
[2021/12/20 23:05:20] root INFO: [Train][Epoch 31/200][Iter: 60/626]lr: 0.48992, CELoss: 3.33380, loss: 3.33380, batch_cost: 1.02063s, reader_cost: 0.48386, ips: 501.65168 images/sec, eta: 1 day, 6:09:14
[2021/12/20 23:05:49] root INFO: [Train][Epoch 31/200][Iter: 90/626]lr: 0.48988, CELoss: 3.40004, loss: 3.40004, batch_cost: 1.00329s, reader_cost: 0.46431, ips: 510.32080 images/sec, eta: 1 day, 5:37:59
[2021/12/20 23:06:20] root INFO: [Train][Epoch 31/200][Iter: 120/626]lr: 0.48984, CELoss: 3.43352, loss: 3.43352, batch_cost: 1.00454s, reader_cost: 0.46629, ips: 509.68451 images/sec, eta: 1 day, 5:39:42
[2021/12/20 23:06:49] root INFO: [Train][Epoch 31/200][Iter: 150/626]lr: 0.48981, CELoss: 3.47072, loss: 3.47072, batch_cost: 1.00301s, reader_cost: 0.46819, ips: 510.46351 images/sec, eta: 1 day, 5:36:29
[2021/12/20 23:07:20] root INFO: [Train][Epoch 31/200][Iter: 180/626]lr: 0.48977, CELoss: 3.47656, loss: 3.47656, batch_cost: 1.00821s, reader_cost: 0.47684, ips: 507.83071 images/sec, eta: 1 day, 5:45:12
[2021/12/20 23:07:50] root INFO: [Train][Epoch 31/200][Iter: 210/626]lr: 0.48973, CELoss: 3.45929, loss: 3.45929, batch_cost: 1.00327s, reader_cost: 0.47409, ips: 510.33331 images/sec, eta: 1 day, 5:35:56
[2021/12/20 23:08:19] root INFO: [Train][Epoch 31/200][Iter: 240/626]lr: 0.48969, CELoss: 3.50324, loss: 3.50324, batch_cost: 1.00144s, reader_cost: 0.47359, ips: 511.26354 images/sec, eta: 1 day, 5:32:12
[2021/12/20 23:08:49] root INFO: [Train][Epoch 31/200][Iter: 270/626]lr: 0.48965, CELoss: 3.49250, loss: 3.49250, batch_cost: 0.99828s, reader_cost: 0.46854, ips: 512.88205 images/sec, eta: 1 day, 5:26:07
[2021/12/20 23:09:19] root INFO: [Train][Epoch 31/200][Iter: 300/626]lr: 0.48961, CELoss: 3.47932, loss: 3.47932, batch_cost: 0.99961s, reader_cost: 0.46488, ips: 512.20178 images/sec, eta: 1 day, 5:27:58
[2021/12/20 23:09:50] root INFO: [Train][Epoch 31/200][Iter: 330/626]lr: 0.48958, CELoss: 3.45635, loss: 3.45635, batch_cost: 1.00374s, reader_cost: 0.42818, ips: 510.09198 images/sec, eta: 1 day, 5:34:46
[2021/12/20 23:10:22] root INFO: [Train][Epoch 31/200][Iter: 360/626]lr: 0.48954, CELoss: 3.46398, loss: 3.46398, batch_cost: 1.00740s, reader_cost: 0.39299, ips: 508.24037 images/sec, eta: 1 day, 5:40:44
[2021/12/20 23:10:54] root INFO: [Train][Epoch 31/200][Iter: 390/626]lr: 0.48950, CELoss: 3.44680, loss: 3.44680, batch_cost: 1.01401s, reader_cost: 0.36336, ips: 504.92700 images/sec, eta: 1 day, 5:51:55
[2021/12/20 23:11:24] root INFO: [Train][Epoch 31/200][Iter: 420/626]lr: 0.48946, CELoss: 3.45582, loss: 3.45582, batch_cost: 1.01293s, reader_cost: 0.33787, ips: 505.46454 images/sec, eta: 1 day, 5:49:30
[2021/12/20 23:11:56] root INFO: [Train][Epoch 31/200][Iter: 450/626]lr: 0.48942, CELoss: 3.45381, loss: 3.45381, batch_cost: 1.01533s, reader_cost: 0.31583, ips: 504.26783 images/sec, eta: 1 day, 5:53:14
[2021/12/20 23:12:26] root INFO: [Train][Epoch 31/200][Iter: 480/626]lr: 0.48938, CELoss: 3.45338, loss: 3.45338, batch_cost: 1.01557s, reader_cost: 0.29645, ips: 504.15192 images/sec, eta: 1 day, 5:53:09
[2021/12/20 23:13:00] root INFO: [Train][Epoch 31/200][Iter: 510/626]lr: 0.48934, CELoss: 3.44209, loss: 3.44209, batch_cost: 1.02076s, reader_cost: 0.27940, ips: 501.58508 images/sec, eta: 1 day, 6:01:49
[2021/12/20 23:13:30] root INFO: [Train][Epoch 31/200][Iter: 540/626]lr: 0.48930, CELoss: 3.43063, loss: 3.43063, batch_cost: 1.02082s, reader_cost: 0.26434, ips: 501.55630 images/sec, eta: 1 day, 6:01:24
[2021/12/20 23:14:04] root INFO: [Train][Epoch 31/200][Iter: 570/626]lr: 0.48927, CELoss: 3.43085, loss: 3.43085, batch_cost: 1.02594s, reader_cost: 0.25105, ips: 499.05366 images/sec, eta: 1 day, 6:09:55
[2021/12/20 23:14:34] root INFO: [Train][Epoch 31/200][Iter: 600/626]lr: 0.48923, CELoss: 3.43933, loss: 3.43933, batch_cost: 1.02447s, reader_cost: 0.23888, ips: 499.76919 images/sec, eta: 1 day, 6:06:49
[2021/12/20 23:15:00] root INFO: [Train][Epoch 31/200][Avg]CELoss: 3.42933, loss: 3.42933
[2021/12/20 23:15:00] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_31
[2021/12/20 23:15:00] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 23:15:05] root INFO: [Train][Epoch 32/200][Iter: 0/626]lr: 0.48919, CELoss: 2.80230, loss: 2.80230, batch_cost: 1.03213s, reader_cost: 0.23664, ips: 496.06071 images/sec, eta: 1 day, 6:19:53
[2021/12/20 23:15:35] root INFO: [Train][Epoch 32/200][Iter: 30/626]lr: 0.48915, CELoss: 3.44313, loss: 3.44313, batch_cost: 0.96975s, reader_cost: 0.44147, ips: 527.97338 images/sec, eta: 1 day, 4:29:24
[2021/12/20 23:16:04] root INFO: [Train][Epoch 32/200][Iter: 60/626]lr: 0.48911, CELoss: 3.32857, loss: 3.32857, batch_cost: 0.97807s, reader_cost: 0.45115, ips: 523.48174 images/sec, eta: 1 day, 4:43:34
[2021/12/20 23:16:34] root INFO: [Train][Epoch 32/200][Iter: 90/626]lr: 0.48907, CELoss: 3.43861, loss: 3.43861, batch_cost: 0.98452s, reader_cost: 0.33152, ips: 520.05105 images/sec, eta: 1 day, 4:54:27
[2021/12/20 23:17:04] root INFO: [Train][Epoch 32/200][Iter: 120/626]lr: 0.48903, CELoss: 3.43378, loss: 3.43378, batch_cost: 0.98442s, reader_cost: 0.24715, ips: 520.10097 images/sec, eta: 1 day, 4:53:48
[2021/12/20 23:17:35] root INFO: [Train][Epoch 32/200][Iter: 150/626]lr: 0.48899, CELoss: 3.49311, loss: 3.49311, batch_cost: 0.99529s, reader_cost: 0.19816, ips: 514.42207 images/sec, eta: 1 day, 5:12:26
[2021/12/20 23:18:05] root INFO: [Train][Epoch 32/200][Iter: 180/626]lr: 0.48896, CELoss: 3.46342, loss: 3.46342, batch_cost: 0.99484s, reader_cost: 0.16648, ips: 514.65647 images/sec, eta: 1 day, 5:11:08
[2021/12/20 23:18:36] root INFO: [Train][Epoch 32/200][Iter: 210/626]lr: 0.48892, CELoss: 3.46157, loss: 3.46157, batch_cost: 1.00197s, reader_cost: 0.14402, ips: 510.99107 images/sec, eta: 1 day, 5:23:12
[2021/12/20 23:19:04] root INFO: [Train][Epoch 32/200][Iter: 240/626]lr: 0.48888, CELoss: 3.47303, loss: 3.47303, batch_cost: 0.99386s, reader_cost: 0.12700, ips: 515.16412 images/sec, eta: 1 day, 5:08:25
[2021/12/20 23:19:35] root INFO: [Train][Epoch 32/200][Iter: 270/626]lr: 0.48884, CELoss: 3.48959, loss: 3.48959, batch_cost: 0.99806s, reader_cost: 0.11350, ips: 512.99284 images/sec, eta: 1 day, 5:15:19
[2021/12/20 23:20:05] root INFO: [Train][Epoch 32/200][Iter: 300/626]lr: 0.48880, CELoss: 3.49456, loss: 3.49456, batch_cost: 0.99599s, reader_cost: 0.10265, ips: 514.06217 images/sec, eta: 1 day, 5:11:10
[2021/12/20 23:20:34] root INFO: [Train][Epoch 32/200][Iter: 330/626]lr: 0.48876, CELoss: 3.49444, loss: 3.49444, batch_cost: 0.99608s, reader_cost: 0.09382, ips: 514.01458 images/sec, eta: 1 day, 5:10:50
[2021/12/20 23:21:04] root INFO: [Train][Epoch 32/200][Iter: 360/626]lr: 0.48872, CELoss: 3.49108, loss: 3.49108, batch_cost: 0.99646s, reader_cost: 0.08646, ips: 513.81854 images/sec, eta: 1 day, 5:11:00
[2021/12/20 23:21:36] root INFO: [Train][Epoch 32/200][Iter: 390/626]lr: 0.48868, CELoss: 3.50804, loss: 3.50804, batch_cost: 1.00072s, reader_cost: 0.08029, ips: 511.63354 images/sec, eta: 1 day, 5:17:59
[2021/12/20 23:22:06] root INFO: [Train][Epoch 32/200][Iter: 420/626]lr: 0.48864, CELoss: 3.50765, loss: 3.50765, batch_cost: 1.00009s, reader_cost: 0.07491, ips: 511.95532 images/sec, eta: 1 day, 5:16:23
[2021/12/20 23:22:36] root INFO: [Train][Epoch 32/200][Iter: 450/626]lr: 0.48860, CELoss: 3.51326, loss: 3.51326, batch_cost: 0.99945s, reader_cost: 0.07027, ips: 512.28306 images/sec, eta: 1 day, 5:14:45
[2021/12/20 23:23:05] root INFO: [Train][Epoch 32/200][Iter: 480/626]lr: 0.48856, CELoss: 3.50806, loss: 3.50806, batch_cost: 0.99825s, reader_cost: 0.06614, ips: 512.89788 images/sec, eta: 1 day, 5:12:09
[2021/12/20 23:23:38] root INFO: [Train][Epoch 32/200][Iter: 510/626]lr: 0.48851, CELoss: 3.51772, loss: 3.51772, batch_cost: 1.00424s, reader_cost: 0.06262, ips: 509.83597 images/sec, eta: 1 day, 5:22:10
[2021/12/20 23:24:08] root INFO: [Train][Epoch 32/200][Iter: 540/626]lr: 0.48847, CELoss: 3.53435, loss: 3.53435, batch_cost: 1.00336s, reader_cost: 0.05972, ips: 510.28752 images/sec, eta: 1 day, 5:20:07
[2021/12/20 23:24:40] root INFO: [Train][Epoch 32/200][Iter: 570/626]lr: 0.48843, CELoss: 3.52415, loss: 3.52415, batch_cost: 1.00696s, reader_cost: 0.05711, ips: 508.46063 images/sec, eta: 1 day, 5:25:56
[2021/12/20 23:25:10] root INFO: [Train][Epoch 32/200][Iter: 600/626]lr: 0.48839, CELoss: 3.52521, loss: 3.52521, batch_cost: 1.00698s, reader_cost: 0.05470, ips: 508.44945 images/sec, eta: 1 day, 5:25:28
[2021/12/20 23:25:35] root INFO: [Train][Epoch 32/200][Avg]CELoss: 3.52349, loss: 3.52349
[2021/12/20 23:25:35] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_32
[2021/12/20 23:25:35] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 23:25:40] root INFO: [Train][Epoch 33/200][Iter: 0/626]lr: 0.48836, CELoss: 2.83332, loss: 2.83332, batch_cost: 1.01303s, reader_cost: 0.06046, ips: 505.41283 images/sec, eta: 1 day, 5:35:38
[2021/12/20 23:26:11] root INFO: [Train][Epoch 33/200][Iter: 30/626]lr: 0.48832, CELoss: 3.10607, loss: 3.10607, batch_cost: 1.00769s, reader_cost: 0.07126, ips: 508.09427 images/sec, eta: 1 day, 5:25:46
[2021/12/20 23:26:42] root INFO: [Train][Epoch 33/200][Iter: 60/626]lr: 0.48828, CELoss: 3.24629, loss: 3.24629, batch_cost: 1.01389s, reader_cost: 0.03829, ips: 504.98493 images/sec, eta: 1 day, 5:36:08
[2021/12/20 23:27:10] root INFO: [Train][Epoch 33/200][Iter: 90/626]lr: 0.48824, CELoss: 3.34813, loss: 3.34813, batch_cost: 0.98894s, reader_cost: 0.02840, ips: 517.72667 images/sec, eta: 1 day, 4:51:55
[2021/12/20 23:27:40] root INFO: [Train][Epoch 33/200][Iter: 120/626]lr: 0.48819, CELoss: 3.39333, loss: 3.39333, batch_cost: 0.99645s, reader_cost: 0.02332, ips: 513.82557 images/sec, eta: 1 day, 5:04:34
[2021/12/20 23:28:09] root INFO: [Train][Epoch 33/200][Iter: 150/626]lr: 0.48815, CELoss: 3.37313, loss: 3.37313, batch_cost: 0.98644s, reader_cost: 0.02040, ips: 519.03796 images/sec, eta: 1 day, 4:46:33
[2021/12/20 23:28:39] root INFO: [Train][Epoch 33/200][Iter: 180/626]lr: 0.48811, CELoss: 3.43791, loss: 3.43791, batch_cost: 0.99174s, reader_cost: 0.01867, ips: 516.26243 images/sec, eta: 1 day, 4:55:21
[2021/12/20 23:29:08] root INFO: [Train][Epoch 33/200][Iter: 210/626]lr: 0.48807, CELoss: 3.43614, loss: 3.43614, batch_cost: 0.98764s, reader_cost: 0.01744, ips: 518.40600 images/sec, eta: 1 day, 4:47:41
[2021/12/20 23:29:37] root INFO: [Train][Epoch 33/200][Iter: 240/626]lr: 0.48803, CELoss: 3.43661, loss: 3.43661, batch_cost: 0.98592s, reader_cost: 0.01635, ips: 519.31087 images/sec, eta: 1 day, 4:44:10
[2021/12/20 23:30:08] root INFO: [Train][Epoch 33/200][Iter: 270/626]lr: 0.48799, CELoss: 3.43367, loss: 3.43367, batch_cost: 0.99140s, reader_cost: 0.01567, ips: 516.43888 images/sec, eta: 1 day, 4:53:16
[2021/12/20 23:30:38] root INFO: [Train][Epoch 33/200][Iter: 300/626]lr: 0.48795, CELoss: 3.40304, loss: 3.40304, batch_cost: 0.98908s, reader_cost: 0.01524, ips: 517.65103 images/sec, eta: 1 day, 4:48:43
[2021/12/20 23:31:08] root INFO: [Train][Epoch 33/200][Iter: 330/626]lr: 0.48791, CELoss: 3.40327, loss: 3.40327, batch_cost: 0.99177s, reader_cost: 0.01475, ips: 516.24857 images/sec, eta: 1 day, 4:52:55
[2021/12/20 23:31:38] root INFO: [Train][Epoch 33/200][Iter: 360/626]lr: 0.48787, CELoss: 3.41894, loss: 3.41894, batch_cost: 0.99256s, reader_cost: 0.01420, ips: 515.83782 images/sec, eta: 1 day, 4:53:48
[2021/12/20 23:32:08] root INFO: [Train][Epoch 33/200][Iter: 390/626]lr: 0.48782, CELoss: 3.42852, loss: 3.42852, batch_cost: 0.99356s, reader_cost: 0.01386, ips: 515.31962 images/sec, eta: 1 day, 4:55:03
[2021/12/20 23:32:39] root INFO: [Train][Epoch 33/200][Iter: 420/626]lr: 0.48778, CELoss: 3.42356, loss: 3.42356, batch_cost: 0.99538s, reader_cost: 0.01363, ips: 514.37622 images/sec, eta: 1 day, 4:57:44
[2021/12/20 23:33:10] root INFO: [Train][Epoch 33/200][Iter: 450/626]lr: 0.48774, CELoss: 3.41715, loss: 3.41715, batch_cost: 0.99836s, reader_cost: 0.01334, ips: 512.84029 images/sec, eta: 1 day, 5:02:26
[2021/12/20 23:33:41] root INFO: [Train][Epoch 33/200][Iter: 480/626]lr: 0.48770, CELoss: 3.41708, loss: 3.41708, batch_cost: 1.00128s, reader_cost: 0.01320, ips: 511.34384 images/sec, eta: 1 day, 5:07:02
[2021/12/20 23:34:13] root INFO: [Train][Epoch 33/200][Iter: 510/626]lr: 0.48766, CELoss: 3.42133, loss: 3.42133, batch_cost: 1.00366s, reader_cost: 0.01315, ips: 510.13500 images/sec, eta: 1 day, 5:10:40
[2021/12/20 23:34:44] root INFO: [Train][Epoch 33/200][Iter: 540/626]lr: 0.48761, CELoss: 3.41949, loss: 3.41949, batch_cost: 1.00564s, reader_cost: 0.01298, ips: 509.13006 images/sec, eta: 1 day, 5:13:37
[2021/12/20 23:35:17] root INFO: [Train][Epoch 33/200][Iter: 570/626]lr: 0.48757, CELoss: 3.40801, loss: 3.40801, batch_cost: 1.01074s, reader_cost: 0.01296, ips: 506.55850 images/sec, eta: 1 day, 5:22:01
[2021/12/20 23:35:48] root INFO: [Train][Epoch 33/200][Iter: 600/626]lr: 0.48753, CELoss: 3.41987, loss: 3.41987, batch_cost: 1.01157s, reader_cost: 0.01290, ips: 506.14429 images/sec, eta: 1 day, 5:22:57
[2021/12/20 23:36:14] root INFO: [Train][Epoch 33/200][Avg]CELoss: 3.41672, loss: 3.41672
[2021/12/20 23:36:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_33
[2021/12/20 23:36:14] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 23:36:19] root INFO: [Train][Epoch 34/200][Iter: 0/626]lr: 0.48749, CELoss: 4.27169, loss: 4.27169, batch_cost: 1.01889s, reader_cost: 0.02048, ips: 502.50927 images/sec, eta: 1 day, 5:35:16
[2021/12/20 23:36:48] root INFO: [Train][Epoch 34/200][Iter: 30/626]lr: 0.48745, CELoss: 3.46873, loss: 3.46873, batch_cost: 0.97640s, reader_cost: 0.44687, ips: 524.37563 images/sec, eta: 1 day, 4:20:45
[2021/12/20 23:37:17] root INFO: [Train][Epoch 34/200][Iter: 60/626]lr: 0.48741, CELoss: 3.32238, loss: 3.32238, batch_cost: 0.97262s, reader_cost: 0.39896, ips: 526.41580 images/sec, eta: 1 day, 4:13:40
[2021/12/20 23:37:47] root INFO: [Train][Epoch 34/200][Iter: 90/626]lr: 0.48737, CELoss: 3.37245, loss: 3.37245, batch_cost: 0.98357s, reader_cost: 0.40498, ips: 520.55404 images/sec, eta: 1 day, 4:32:15
[2021/12/20 23:38:15] root INFO: [Train][Epoch 34/200][Iter: 120/626]lr: 0.48733, CELoss: 3.40531, loss: 3.40531, batch_cost: 0.96815s, reader_cost: 0.40003, ips: 528.84637 images/sec, eta: 1 day, 4:04:55
[2021/12/20 23:38:44] root INFO: [Train][Epoch 34/200][Iter: 150/626]lr: 0.48728, CELoss: 3.40396, loss: 3.40396, batch_cost: 0.96396s, reader_cost: 0.39195, ips: 531.14220 images/sec, eta: 1 day, 3:57:09
[2021/12/20 23:39:13] root INFO: [Train][Epoch 34/200][Iter: 180/626]lr: 0.48724, CELoss: 3.42359, loss: 3.42359, batch_cost: 0.96593s, reader_cost: 0.34074, ips: 530.06108 images/sec, eta: 1 day, 4:00:06
[2021/12/20 23:39:41] root INFO: [Train][Epoch 34/200][Iter: 210/626]lr: 0.48720, CELoss: 3.42023, loss: 3.42023, batch_cost: 0.96110s, reader_cost: 0.30428, ips: 532.72040 images/sec, eta: 1 day, 3:51:13
[2021/12/20 23:40:09] root INFO: [Train][Epoch 34/200][Iter: 240/626]lr: 0.48716, CELoss: 3.44413, loss: 3.44413, batch_cost: 0.95742s, reader_cost: 0.27683, ips: 534.77293 images/sec, eta: 1 day, 3:44:20
[2021/12/20 23:40:38] root INFO: [Train][Epoch 34/200][Iter: 270/626]lr: 0.48711, CELoss: 3.41514, loss: 3.41514, batch_cost: 0.95865s, reader_cost: 0.27066, ips: 534.08237 images/sec, eta: 1 day, 3:46:00
[2021/12/20 23:41:07] root INFO: [Train][Epoch 34/200][Iter: 300/626]lr: 0.48707, CELoss: 3.42050, loss: 3.42050, batch_cost: 0.96036s, reader_cost: 0.27013, ips: 533.13137 images/sec, eta: 1 day, 3:48:30
[2021/12/20 23:41:36] root INFO: [Train][Epoch 34/200][Iter: 330/626]lr: 0.48703, CELoss: 3.44318, loss: 3.44318, batch_cost: 0.96051s, reader_cost: 0.26454, ips: 533.04972 images/sec, eta: 1 day, 3:48:16
[2021/12/20 23:42:05] root INFO: [Train][Epoch 34/200][Iter: 360/626]lr: 0.48698, CELoss: 3.47167, loss: 3.47167, batch_cost: 0.96187s, reader_cost: 0.25442, ips: 532.29893 images/sec, eta: 1 day, 3:50:09
[2021/12/20 23:42:35] root INFO: [Train][Epoch 34/200][Iter: 390/626]lr: 0.48694, CELoss: 3.47313, loss: 3.47313, batch_cost: 0.96448s, reader_cost: 0.23594, ips: 530.85583 images/sec, eta: 1 day, 3:54:12
[2021/12/20 23:43:04] root INFO: [Train][Epoch 34/200][Iter: 420/626]lr: 0.48690, CELoss: 3.47027, loss: 3.47027, batch_cost: 0.96494s, reader_cost: 0.21944, ips: 530.60359 images/sec, eta: 1 day, 3:54:31
[2021/12/20 23:43:35] root INFO: [Train][Epoch 34/200][Iter: 450/626]lr: 0.48686, CELoss: 3.47299, loss: 3.47299, batch_cost: 0.96853s, reader_cost: 0.20519, ips: 528.63563 images/sec, eta: 1 day, 4:00:16
[2021/12/20 23:44:03] root INFO: [Train][Epoch 34/200][Iter: 480/626]lr: 0.48681, CELoss: 3.46710, loss: 3.46710, batch_cost: 0.96614s, reader_cost: 0.19270, ips: 529.94181 images/sec, eta: 1 day, 3:55:38
[2021/12/20 23:44:33] root INFO: [Train][Epoch 34/200][Iter: 510/626]lr: 0.48677, CELoss: 3.46666, loss: 3.46666, batch_cost: 0.96827s, reader_cost: 0.18167, ips: 528.77653 images/sec, eta: 1 day, 3:58:51
[2021/12/20 23:45:02] root INFO: [Train][Epoch 34/200][Iter: 540/626]lr: 0.48673, CELoss: 3.46912, loss: 3.46912, batch_cost: 0.96864s, reader_cost: 0.17182, ips: 528.57585 images/sec, eta: 1 day, 3:59:00
[2021/12/20 23:45:32] root INFO: [Train][Epoch 34/200][Iter: 570/626]lr: 0.48668, CELoss: 3.46284, loss: 3.46284, batch_cost: 0.96966s, reader_cost: 0.16714, ips: 528.02195 images/sec, eta: 1 day, 4:00:17
[2021/12/20 23:46:03] root INFO: [Train][Epoch 34/200][Iter: 600/626]lr: 0.48664, CELoss: 3.46369, loss: 3.46369, batch_cost: 0.97276s, reader_cost: 0.16810, ips: 526.33614 images/sec, eta: 1 day, 4:05:10
[2021/12/20 23:46:27] root INFO: [Train][Epoch 34/200][Avg]CELoss: 3.46127, loss: 3.46127
[2021/12/20 23:46:27] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_34
[2021/12/20 23:46:27] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 23:46:32] root INFO: [Train][Epoch 35/200][Iter: 0/626]lr: 0.48660, CELoss: 2.82206, loss: 2.82206, batch_cost: 0.97864s, reader_cost: 0.18381, ips: 523.17725 images/sec, eta: 1 day, 4:14:55
[2021/12/20 23:47:01] root INFO: [Train][Epoch 35/200][Iter: 30/626]lr: 0.48656, CELoss: 3.41752, loss: 3.41752, batch_cost: 0.96400s, reader_cost: 0.18233, ips: 531.11758 images/sec, eta: 1 day, 3:49:06
[2021/12/20 23:47:31] root INFO: [Train][Epoch 35/200][Iter: 60/626]lr: 0.48651, CELoss: 3.51000, loss: 3.51000, batch_cost: 0.97901s, reader_cost: 0.10104, ips: 522.97732 images/sec, eta: 1 day, 4:14:36
[2021/12/20 23:48:01] root INFO: [Train][Epoch 35/200][Iter: 90/626]lr: 0.48647, CELoss: 3.51790, loss: 3.51790, batch_cost: 0.98348s, reader_cost: 0.07662, ips: 520.60148 images/sec, eta: 1 day, 4:21:50
[2021/12/20 23:48:31] root INFO: [Train][Epoch 35/200][Iter: 120/626]lr: 0.48643, CELoss: 3.55847, loss: 3.55847, batch_cost: 0.99506s, reader_cost: 0.05988, ips: 514.54322 images/sec, eta: 1 day, 4:41:22
[2021/12/20 23:48:59] root INFO: [Train][Epoch 35/200][Iter: 150/626]lr: 0.48638, CELoss: 3.49773, loss: 3.49773, batch_cost: 0.97913s, reader_cost: 0.05446, ips: 522.91273 images/sec, eta: 1 day, 4:13:20
[2021/12/20 23:49:28] root INFO: [Train][Epoch 35/200][Iter: 180/626]lr: 0.48634, CELoss: 3.54693, loss: 3.54693, batch_cost: 0.97432s, reader_cost: 0.05464, ips: 525.49516 images/sec, eta: 1 day, 4:04:31
[2021/12/20 23:49:58] root INFO: [Train][Epoch 35/200][Iter: 210/626]lr: 0.48630, CELoss: 3.53411, loss: 3.53411, batch_cost: 0.97882s, reader_cost: 0.06495, ips: 523.08142 images/sec, eta: 1 day, 4:11:49
[2021/12/20 23:50:27] root INFO: [Train][Epoch 35/200][Iter: 240/626]lr: 0.48625, CELoss: 3.55723, loss: 3.55723, batch_cost: 0.97721s, reader_cost: 0.07661, ips: 523.94195 images/sec, eta: 1 day, 4:08:32
[2021/12/20 23:50:58] root INFO: [Train][Epoch 35/200][Iter: 270/626]lr: 0.48621, CELoss: 3.55128, loss: 3.55128, batch_cost: 0.98498s, reader_cost: 0.08272, ips: 519.80949 images/sec, eta: 1 day, 4:21:28
[2021/12/20 23:51:27] root INFO: [Train][Epoch 35/200][Iter: 300/626]lr: 0.48616, CELoss: 3.55934, loss: 3.55934, batch_cost: 0.98408s, reader_cost: 0.07792, ips: 520.28334 images/sec, eta: 1 day, 4:19:26
[2021/12/20 23:51:58] root INFO: [Train][Epoch 35/200][Iter: 330/626]lr: 0.48612, CELoss: 3.53977, loss: 3.53977, batch_cost: 0.98790s, reader_cost: 0.07159, ips: 518.27267 images/sec, eta: 1 day, 4:25:32
[2021/12/20 23:52:26] root INFO: [Train][Epoch 35/200][Iter: 360/626]lr: 0.48608, CELoss: 3.54261, loss: 3.54261, batch_cost: 0.98433s, reader_cost: 0.06651, ips: 520.15204 images/sec, eta: 1 day, 4:18:53
[2021/12/20 23:52:58] root INFO: [Train][Epoch 35/200][Iter: 390/626]lr: 0.48603, CELoss: 3.54287, loss: 3.54287, batch_cost: 0.98931s, reader_cost: 0.06223, ips: 517.53119 images/sec, eta: 1 day, 4:26:59
[2021/12/20 23:53:27] root INFO: [Train][Epoch 35/200][Iter: 420/626]lr: 0.48599, CELoss: 3.53309, loss: 3.53309, batch_cost: 0.98719s, reader_cost: 0.05867, ips: 518.64576 images/sec, eta: 1 day, 4:22:49
[2021/12/20 23:53:58] root INFO: [Train][Epoch 35/200][Iter: 450/626]lr: 0.48594, CELoss: 3.52143, loss: 3.52143, batch_cost: 0.99051s, reader_cost: 0.05533, ips: 516.90633 images/sec, eta: 1 day, 4:28:03
[2021/12/20 23:54:27] root INFO: [Train][Epoch 35/200][Iter: 480/626]lr: 0.48590, CELoss: 3.51364, loss: 3.51364, batch_cost: 0.98830s, reader_cost: 0.05242, ips: 518.06122 images/sec, eta: 1 day, 4:23:45
[2021/12/20 23:54:57] root INFO: [Train][Epoch 35/200][Iter: 510/626]lr: 0.48585, CELoss: 3.49473, loss: 3.49473, batch_cost: 0.98902s, reader_cost: 0.04972, ips: 517.68235 images/sec, eta: 1 day, 4:24:30
[2021/12/20 23:55:25] root INFO: [Train][Epoch 35/200][Iter: 540/626]lr: 0.48581, CELoss: 3.49101, loss: 3.49101, batch_cost: 0.98716s, reader_cost: 0.04723, ips: 518.65780 images/sec, eta: 1 day, 4:20:49
[2021/12/20 23:55:56] root INFO: [Train][Epoch 35/200][Iter: 570/626]lr: 0.48576, CELoss: 3.49842, loss: 3.49842, batch_cost: 0.98865s, reader_cost: 0.04500, ips: 517.87766 images/sec, eta: 1 day, 4:22:53
[2021/12/20 23:56:25] root INFO: [Train][Epoch 35/200][Iter: 600/626]lr: 0.48572, CELoss: 3.49304, loss: 3.49304, batch_cost: 0.98758s, reader_cost: 0.04368, ips: 518.44081 images/sec, eta: 1 day, 4:20:32
[2021/12/20 23:56:49] root INFO: [Train][Epoch 35/200][Avg]CELoss: 3.49285, loss: 3.49285
[2021/12/20 23:56:56] root INFO: [Eval][Epoch 35][Iter: 0/25]CELoss: 2.02342, loss: 2.02342, top1: 0.57861, batch_cost: 7.48774s, reader_cost: 7.22960, ips: 68.37848 images/sec
[2021/12/20 23:57:32] root INFO: [Eval][Epoch 35][Avg]CELoss: 2.16731, loss: 2.16731, top1: 0.58422
[2021/12/20 23:57:32] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/best_model
[2021/12/20 23:57:32] root INFO: [Eval][Epoch 35][best metric: 0.5842200003051757]
[2021/12/20 23:57:33] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_35
[2021/12/20 23:57:33] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest
[2021/12/20 23:57:38] root INFO: [Train][Epoch 36/200][Iter: 0/626]lr: 0.48568, CELoss: 2.86869, loss: 2.86869, batch_cost: 0.99345s, reader_cost: 0.05196, ips: 515.37532 images/sec, eta: 1 day, 4:30:13
[2021/12/20 23:58:08] root INFO: [Train][Epoch 36/200][Iter: 30/626]lr: 0.48564, CELoss: 3.38033, loss: 3.38033, batch_cost: 0.98736s, reader_cost: 0.29834, ips: 518.55274 images/sec, eta: 1 day, 4:19:15
[2021/12/20 23:58:39] root INFO: [Train][Epoch 36/200][Iter: 60/626]lr: 0.48559, CELoss: 3.36332, loss: 3.36332, batch_cost: 1.00317s, reader_cost: 0.16202, ips: 510.38397 images/sec, eta: 1 day, 4:45:56
[2021/12/20 23:59:07] root INFO: [Train][Epoch 36/200][Iter: 90/626]lr: 0.48555, CELoss: 3.35915, loss: 3.35915, batch_cost: 0.98442s, reader_cost: 0.10942, ips: 520.10329 images/sec, eta: 1 day, 4:13:12
[2021/12/20 23:59:37] root INFO: [Train][Epoch 36/200][Iter: 120/626]lr: 0.48550, CELoss: 3.36766, loss: 3.36766, batch_cost: 0.99200s, reader_cost: 0.08436, ips: 516.12692 images/sec, eta: 1 day, 4:25:45
[2021/12/21 00:00:06] root INFO: [Train][Epoch 36/200][Iter: 150/626]lr: 0.48546, CELoss: 3.31296, loss: 3.31296, batch_cost: 0.98297s, reader_cost: 0.06970, ips: 520.87226 images/sec, eta: 1 day, 4:09:43
[2021/12/21 00:00:39] root INFO: [Train][Epoch 36/200][Iter: 180/626]lr: 0.48541, CELoss: 3.35505, loss: 3.35505, batch_cost: 1.00209s, reader_cost: 0.06045, ips: 510.93357 images/sec, eta: 1 day, 4:42:05
[2021/12/21 00:01:08] root INFO: [Train][Epoch 36/200][Iter: 210/626]lr: 0.48536, CELoss: 3.35889, loss: 3.35889, batch_cost: 0.99949s, reader_cost: 0.05385, ips: 512.26320 images/sec, eta: 1 day, 4:37:07
[2021/12/21 00:01:39] root INFO: [Train][Epoch 36/200][Iter: 240/626]lr: 0.48532, CELoss: 3.35713, loss: 3.35713, batch_cost: 1.00330s, reader_cost: 0.04893, ips: 510.31570 images/sec, eta: 1 day, 4:43:10
[2021/12/21 00:02:07] root INFO: [Train][Epoch 36/200][Iter: 270/626]lr: 0.48527, CELoss: 3.35371, loss: 3.35371, batch_cost: 0.99565s, reader_cost: 0.04453, ips: 514.23720 images/sec, eta: 1 day, 4:29:31
[2021/12/21 00:02:39] root INFO: [Train][Epoch 36/200][Iter: 300/626]lr: 0.48523, CELoss: 3.37278, loss: 3.37278, batch_cost: 1.00053s, reader_cost: 0.04095, ips: 511.73082 images/sec, eta: 1 day, 4:37:24
[2021/12/21 00:03:07] root INFO: [Train][Epoch 36/200][Iter: 330/626]lr: 0.48518, CELoss: 3.37214, loss: 3.37214, batch_cost: 0.99442s, reader_cost: 0.03814, ips: 514.87190 images/sec, eta: 1 day, 4:26:25
[2021/12/21 00:03:37] root INFO: [Train][Epoch 36/200][Iter: 360/626]lr: 0.48514, CELoss: 3.37375, loss: 3.37375, batch_cost: 0.99464s, reader_cost: 0.03574, ips: 514.75945 images/sec, eta: 1 day, 4:26:18
[2021/12/21 00:04:06] root INFO: [Train][Epoch 36/200][Iter: 390/626]lr: 0.48509, CELoss: 3.36888, loss: 3.36888, batch_cost: 0.99333s, reader_cost: 0.03386, ips: 515.43843 images/sec, eta: 1 day, 4:23:33
[2021/12/21 00:04:37] root INFO: [Train][Epoch 36/200][Iter: 420/626]lr: 0.48505, CELoss: 3.38104, loss: 3.38104, batch_cost: 0.99754s, reader_cost: 0.03245, ips: 513.26056 images/sec, eta: 1 day, 4:30:17
[2021/12/21 00:05:07] root INFO: [Train][Epoch 36/200][Iter: 450/626]lr: 0.48500, CELoss: 3.39997, loss: 3.39997, batch_cost: 0.99620s, reader_cost: 0.03103, ips: 513.95554 images/sec, eta: 1 day, 4:27:28
[2021/12/21 00:05:39] root INFO: [Train][Epoch 36/200][Iter: 480/626]lr: 0.48495, CELoss: 3.39732, loss: 3.39732, batch_cost: 1.00141s, reader_cost: 0.03000, ips: 511.27873 images/sec, eta: 1 day, 4:35:55
[2021/12/21 00:06:09] root INFO: [Train][Epoch 36/200][Iter: 510/626]lr: 0.48491, CELoss: 3.40512, loss: 3.40512, batch_cost: 1.00105s, reader_cost: 0.02903, ips: 511.46211 images/sec, eta: 1 day, 4:34:48
[2021/12/21 00:06:41] root INFO: [Train][Epoch 36/200][Iter: 540/626]lr: 0.48486, CELoss: 3.40581, loss: 3.40581, batch_cost: 1.00492s, reader_cost: 0.02808, ips: 509.49163 images/sec, eta: 1 day, 4:40:55
[2021/12/21 00:07:11] root INFO: [Train][Epoch 36/200][Iter: 570/626]lr: 0.48482, CELoss: 3.40791, loss: 3.40791, batch_cost: 1.00535s, reader_cost: 0.02731, ips: 509.27307 images/sec, eta: 1 day, 4:41:10
[2021/12/21 00:07:42] root INFO: [Train][Epoch 36/200][Iter: 600/626]lr: 0.48477, CELoss: 3.40027, loss: 3.40027, batch_cost: 1.00672s, reader_cost: 0.02652, ips: 508.58158 images/sec, eta: 1 day, 4:43:00
[2021/12/21 00:08:08] root INFO: [Train][Epoch 36/200][Avg]CELoss: 3.41132, loss: 3.41132
[2021/12/21 00:08:08] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/epoch_36
[2021/12/21 00:08:09] root INFO: Already save model in /root/paddlejob/workspace/output/OctMobileNetV2_x1_125/latest