ft_k700_log.txt

[2022-11-07 16:28:30 eva-1b/14] (main_k722.py 473): INFO working dir: /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08
[2022-11-07 16:28:38 eva-1b/14] (main_k722.py 499): INFO AUG:
  COLOR_JITTER: 0.8
  CUTMIX: 0.0
  GRAY_SCALE: 0.2
  LABEL_SMOOTH: 0.1
  MIXUP: 0.0
  MIXUP_SWITCH_PROB: 0.5
BASE: ['']
DATA:
  DATASET: kinetics700
  INPUT_SIZE: 224
  LABEL_LIST: labels/kinetics_700_labels.csv
  NUM_CLASSES: 700
  NUM_FRAMES: 16
  ROOT: data/
  TRAIN_FILE: data/k700_train.txt
  TUBELET_SIZE: 1
  VAL_FILE: data/k700_val.txt
LOCAL_RANK: 0
MODEL:
  ARCH: eva-1b/14
  CLASS_MAPPING: data/k722_to_k700_mapping.npy
  DROP_PATH_RATE: 0.2
  FIX_FINE_TUNE: 0
  FIX_TEXT: True
  INIT_VALUES: 0.0
  PRETRAINED: /home/binhuixie/outputs/cvpr/K722_1b/k722_ft_1104/ckpt_epoch_39.pth
  PRETRAINED_MODE: eva_k722
  RESUME: None
MYCLIP:
  CHECKPOINT_SEGMENTS: 3
  FT_FRAMES: 8
  FT_IMAGE_SIZE: 224
  NUM_EXTRA_TOKENS: 1
  STOP_GRAD_CONV1: False
  USE_GLOBAL_ATTEN: True
  USE_LEARNABLE_POS_EMB: True
  USE_MEAN_POOLING: True
  USE_SAME_PE: False
  USE_TEXT_EMBED: False
OUTPUT: /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08
PRINT_FREQ: 10
SAVE_FREQ: 1
SEED: 1024
TEST:
  BATCH_SIZE: 2
  CLASS_MAPPING: data/k722_to_k700_mapping.npy
  MULTI_VIEW: False
  NUM_CLIP: 4
  NUM_CROP: 3
  ONLY_TEST: False
TRAIN:
  ACCUMULATION_STEPS: 2
  AUTO_RESUME: False
  BATCH_SIZE: 1
  BETAS: (0.9, 0.98)
  EPOCHS: 2
  EPS: 1e-06
  LAYER_WISE_DECAY: 0.95
  LR: 1e-06
  LR_MIN: 1e-06
  LR_SCHEDULER: cosine
  LR_SCHEDULER_WARMUP_PREFIX: True
  OPTIMIZER: adamw
  OPT_LEVEL: O1
  USE_CHECKPOINT: True
  WARMUP_EPOCHS: 0.0
  WARMUP_START_LR: 1e-06
  WEIGHT_DECAY: 0.05
WANDB: True
[2022-11-07 16:29:06 eva-1b/14] (yclip_mae.py 295): INFO Loading masked key head.weight from data/k722_to_k700_mapping.npy
[2022-11-07 16:29:06 eva-1b/14] (yclip_mae.py 295): INFO Loading masked key head.bias from data/k722_to_k700_mapping.npy
[2022-11-07 16:29:07 eva-1b/14] (yclip_mae.py 339): INFO Loading pretrained: <All keys matched successfully>
[2022-11-07 16:29:09 eva-1b/14] (main_k722.py 142): INFO cls_token requires_grad = True
[2022-11-07 16:29:09 eva-1b/14] (main_k722.py 142): INFO pos_embed requires_grad = True
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[2022-11-07 16:29:09 eva-1b/14] (main_k722.py 142): INFO patch_embed.proj.bias requires_grad = True
[2022-11-07 16:29:09 eva-1b/14] (main_k722.py 142): INFO blocks.0.norm1.weight requires_grad = True
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[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm1.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm1.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.q_bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.v_bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.qkv.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.proj.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.proj.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm2.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm2.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc1.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc1.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc2.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc2.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm1.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm1.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.q_bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.v_bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.qkv.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.proj.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.proj.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm2.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm2.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc1.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc1.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc2.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc2.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO fc_norm.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO fc_norm.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO head.weight requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 142): INFO head.bias requires_grad = True
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 148): INFO number of params: 1017.5391MB
[2022-11-07 16:29:10 eva-1b/14] (main_k722.py 159): INFO Assigned values: [0.12208654873684796, 0.12851215656510312, 0.13527595427905592, 0.14239574134637467, 0.14989025404881545, 0.1577792147882268, 0.16608338398760716, 0.174824614723797, 0.18402591023557582, 0.19371148445850087, 0.2039068257457904, 0.21463876394293727, 0.22593554099256555, 0.23782688525533216, 0.2503440897424549, 0.26352009446574204, 0.27738957312183377, 0.2919890243387724, 0.3073568677250236, 0.323533544973709, 0.3405616262881148, 0.3584859224085419, 0.37735360253530725, 0.3972143184582182, 0.4181203352191771, 0.44012666865176536, 0.46329123015975304, 0.48767497911552954, 0.5133420832795048, 0.5403600876626367, 0.5688000922764597, 0.5987369392383787, 0.6302494097246091, 0.6634204312890623, 0.6983372960937497, 0.7350918906249998, 0.7737809374999998, 0.8145062499999999, 0.8573749999999999, 0.9025, 0.95, 1.0]
[2022-11-07 16:29:28 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][0/2086]	eta 9:44:31 lr_first 0.000000122 lr_last 0.000001000	time 16.8128 (16.8128)	tot_loss 0.4955 (0.4955)	mem 15888MB
[2022-11-07 16:30:05 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][5/2086]	eta 2:49:30 lr_first 0.000000122 lr_last 0.000001000	time 4.0383 (4.8875)	tot_loss 0.8790 (1.0394)	mem 27549MB
[2022-11-07 16:30:41 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][10/2086]	eta 2:27:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5652 (4.2680)	tot_loss 0.8532 (0.8903)	mem 27552MB
[2022-11-07 16:31:17 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][15/2086]	eta 2:20:08 lr_first 0.000000122 lr_last 0.000001000	time 3.5224 (4.0602)	tot_loss 0.4935 (0.7776)	mem 27552MB
[2022-11-07 16:31:54 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][20/2086]	eta 2:16:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5360 (3.9607)	tot_loss 0.4932 (0.7559)	mem 27552MB
[2022-11-07 16:32:30 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][25/2086]	eta 2:13:30 lr_first 0.000000122 lr_last 0.000001000	time 3.5276 (3.8865)	tot_loss 0.5066 (0.7635)	mem 27552MB
[2022-11-07 16:33:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][30/2086]	eta 2:11:42 lr_first 0.000000122 lr_last 0.000001000	time 3.5700 (3.8436)	tot_loss 0.4967 (0.7572)	mem 27552MB
[2022-11-07 16:33:42 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][35/2086]	eta 2:10:10 lr_first 0.000000122 lr_last 0.000001000	time 3.5586 (3.8082)	tot_loss 0.5752 (0.8215)	mem 27552MB
[2022-11-07 16:34:18 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][40/2086]	eta 2:08:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5701 (3.7805)	tot_loss 0.4943 (0.7873)	mem 27552MB
[2022-11-07 16:34:53 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][45/2086]	eta 2:07:53 lr_first 0.000000122 lr_last 0.000001000	time 3.5587 (3.7596)	tot_loss 0.4991 (0.7925)	mem 27552MB
[2022-11-07 16:35:29 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][50/2086]	eta 2:07:01 lr_first 0.000000122 lr_last 0.000001000	time 3.6261 (3.7436)	tot_loss 0.5005 (0.7646)	mem 27552MB
[2022-11-07 16:36:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][55/2086]	eta 2:06:20 lr_first 0.000000122 lr_last 0.000001000	time 3.5301 (3.7326)	tot_loss 0.5009 (0.7422)	mem 27552MB
[2022-11-07 16:36:42 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][60/2086]	eta 2:05:43 lr_first 0.000000122 lr_last 0.000001000	time 3.5231 (3.7231)	tot_loss 1.4655 (0.7342)	mem 27552MB
[2022-11-07 16:37:18 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][65/2086]	eta 2:05:02 lr_first 0.000000122 lr_last 0.000001000	time 3.5261 (3.7124)	tot_loss 0.4941 (0.7335)	mem 27552MB
[2022-11-07 16:37:54 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][70/2086]	eta 2:04:34 lr_first 0.000000122 lr_last 0.000001000	time 3.6734 (3.7076)	tot_loss 0.5851 (0.7195)	mem 27552MB
[2022-11-07 16:38:30 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][75/2086]	eta 2:04:04 lr_first 0.000000122 lr_last 0.000001000	time 3.5541 (3.7020)	tot_loss 0.5057 (0.7071)	mem 27554MB
[2022-11-07 16:39:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][80/2086]	eta 2:03:31 lr_first 0.000000122 lr_last 0.000001000	time 3.5321 (3.6947)	tot_loss 0.5076 (0.7316)	mem 27554MB
[2022-11-07 16:39:43 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][85/2086]	eta 2:03:06 lr_first 0.000000122 lr_last 0.000001000	time 3.5910 (3.6915)	tot_loss 0.4978 (0.7194)	mem 27554MB
[2022-11-07 16:40:19 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][90/2086]	eta 2:02:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5225 (3.6874)	tot_loss 0.6075 (0.7168)	mem 27554MB
[2022-11-07 16:40:55 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][95/2086]	eta 2:02:11 lr_first 0.000000122 lr_last 0.000001000	time 3.5326 (3.6823)	tot_loss 1.9343 (0.7141)	mem 27554MB
[2022-11-07 16:41:31 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][100/2086]	eta 2:01:44 lr_first 0.000000122 lr_last 0.000001000	time 3.6005 (3.6780)	tot_loss 0.4968 (0.7161)	mem 27554MB
[2022-11-07 16:42:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][105/2086]	eta 2:01:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5239 (3.6733)	tot_loss 0.8657 (0.7235)	mem 27554MB
[2022-11-07 16:42:43 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][110/2086]	eta 2:00:56 lr_first 0.000000122 lr_last 0.000001000	time 3.5543 (3.6722)	tot_loss 0.4952 (0.7133)	mem 27554MB
[2022-11-07 16:43:19 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][115/2086]	eta 2:00:32 lr_first 0.000000122 lr_last 0.000001000	time 3.5527 (3.6693)	tot_loss 0.5113 (0.7158)	mem 27554MB
[2022-11-07 16:43:55 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][120/2086]	eta 2:00:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5243 (3.6669)	tot_loss 0.5095 (0.7096)	mem 27554MB
[2022-11-07 16:44:31 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][125/2086]	eta 1:59:48 lr_first 0.000000122 lr_last 0.000001000	time 3.5609 (3.6655)	tot_loss 0.4980 (0.7067)	mem 27554MB
[2022-11-07 16:45:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][130/2086]	eta 1:59:28 lr_first 0.000000122 lr_last 0.000001000	time 3.5212 (3.6646)	tot_loss 0.5157 (0.7096)	mem 27554MB
[2022-11-07 16:45:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][135/2086]	eta 1:59:07 lr_first 0.000000122 lr_last 0.000001000	time 3.6708 (3.6636)	tot_loss 0.5107 (0.7070)	mem 27554MB
[2022-11-07 16:46:20 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][140/2086]	eta 1:58:43 lr_first 0.000000122 lr_last 0.000001000	time 3.5556 (3.6607)	tot_loss 0.4947 (0.7072)	mem 27554MB
[2022-11-07 16:46:56 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][145/2086]	eta 1:58:20 lr_first 0.000000122 lr_last 0.000001000	time 3.5540 (3.6582)	tot_loss 0.5022 (0.7082)	mem 27554MB
[2022-11-07 16:47:32 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][150/2086]	eta 1:58:01 lr_first 0.000000122 lr_last 0.000001000	time 3.5183 (3.6579)	tot_loss 0.4944 (0.7051)	mem 27554MB
[2022-11-07 16:48:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][155/2086]	eta 1:57:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5252 (3.6559)	tot_loss 2.3855 (0.7121)	mem 27554MB
[2022-11-07 16:48:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][160/2086]	eta 1:57:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5234 (3.6535)	tot_loss 0.8543 (0.7118)	mem 27554MB
[2022-11-07 16:49:20 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][165/2086]	eta 1:56:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5592 (3.6530)	tot_loss 0.4970 (0.7060)	mem 27554MB
[2022-11-07 16:49:56 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][170/2086]	eta 1:56:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5508 (3.6511)	tot_loss 0.5015 (0.7001)	mem 27554MB
[2022-11-07 16:50:32 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][175/2086]	eta 1:56:13 lr_first 0.000000122 lr_last 0.000001000	time 3.5564 (3.6490)	tot_loss 0.5133 (0.7017)	mem 27554MB
[2022-11-07 16:51:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][180/2086]	eta 1:55:50 lr_first 0.000000122 lr_last 0.000001000	time 3.5615 (3.6469)	tot_loss 0.5549 (0.6983)	mem 27555MB
[2022-11-07 16:51:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][185/2086]	eta 1:55:29 lr_first 0.000000122 lr_last 0.000001000	time 3.5435 (3.6453)	tot_loss 0.5068 (0.6995)	mem 27555MB
[2022-11-07 16:52:20 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][190/2086]	eta 1:55:10 lr_first 0.000000122 lr_last 0.000001000	time 3.5269 (3.6448)	tot_loss 0.4977 (0.6978)	mem 27555MB
[2022-11-07 16:52:56 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][195/2086]	eta 1:54:50 lr_first 0.000000122 lr_last 0.000001000	time 3.5345 (3.6436)	tot_loss 1.0457 (0.6953)	mem 27555MB
[2022-11-07 16:53:32 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][200/2086]	eta 1:54:28 lr_first 0.000000122 lr_last 0.000001000	time 3.5195 (3.6418)	tot_loss 0.4974 (0.6918)	mem 27555MB
[2022-11-07 16:54:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][205/2086]	eta 1:54:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5494 (3.6415)	tot_loss 0.5124 (0.6945)	mem 27555MB
[2022-11-07 16:54:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][210/2086]	eta 1:53:48 lr_first 0.000000122 lr_last 0.000001000	time 3.5675 (3.6401)	tot_loss 0.5136 (0.6968)	mem 27555MB
[2022-11-07 16:55:20 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][215/2086]	eta 1:53:28 lr_first 0.000000122 lr_last 0.000001000	time 3.5302 (3.6387)	tot_loss 1.1233 (0.7023)	mem 27555MB
[2022-11-07 16:55:56 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][220/2086]	eta 1:53:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5238 (3.6384)	tot_loss 1.4920 (0.7044)	mem 27555MB
[2022-11-07 16:56:32 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][225/2086]	eta 1:52:48 lr_first 0.000000122 lr_last 0.000001000	time 3.5240 (3.6371)	tot_loss 0.5175 (0.7017)	mem 27555MB
[2022-11-07 16:57:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][230/2086]	eta 1:52:29 lr_first 0.000000122 lr_last 0.000001000	time 3.8425 (3.6365)	tot_loss 0.4958 (0.7017)	mem 27555MB
[2022-11-07 16:57:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][235/2086]	eta 1:52:11 lr_first 0.000000122 lr_last 0.000001000	time 3.5641 (3.6366)	tot_loss 0.4959 (0.7044)	mem 27555MB
[2022-11-07 16:58:21 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][240/2086]	eta 1:51:53 lr_first 0.000000122 lr_last 0.000001000	time 3.5423 (3.6368)	tot_loss 0.8443 (0.7013)	mem 27555MB
[2022-11-07 16:58:57 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][245/2086]	eta 1:51:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5241 (3.6371)	tot_loss 0.4975 (0.7007)	mem 27555MB
[2022-11-07 16:59:33 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][250/2086]	eta 1:51:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5214 (3.6362)	tot_loss 0.4940 (0.7038)	mem 27555MB
[2022-11-07 17:00:09 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][255/2086]	eta 1:50:56 lr_first 0.000000122 lr_last 0.000001000	time 3.5247 (3.6353)	tot_loss 0.4932 (0.7051)	mem 27555MB
[2022-11-07 17:00:45 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][260/2086]	eta 1:50:36 lr_first 0.000000122 lr_last 0.000001000	time 3.5380 (3.6343)	tot_loss 0.5055 (0.7069)	mem 27555MB
[2022-11-07 17:01:21 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][265/2086]	eta 1:50:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5206 (3.6332)	tot_loss 1.0114 (0.7049)	mem 27555MB
[2022-11-07 17:01:57 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][270/2086]	eta 1:49:58 lr_first 0.000000122 lr_last 0.000001000	time 3.5805 (3.6333)	tot_loss 1.2937 (0.7026)	mem 27555MB
[2022-11-07 17:02:33 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][275/2086]	eta 1:49:38 lr_first 0.000000122 lr_last 0.000001000	time 3.5561 (3.6326)	tot_loss 0.5052 (0.7017)	mem 27555MB
[2022-11-07 17:03:09 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][280/2086]	eta 1:49:18 lr_first 0.000000122 lr_last 0.000001000	time 3.5521 (3.6318)	tot_loss 0.7674 (0.7101)	mem 27555MB
[2022-11-07 17:03:45 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][285/2086]	eta 1:49:00 lr_first 0.000000122 lr_last 0.000001000	time 3.5229 (3.6316)	tot_loss 0.4967 (0.7109)	mem 27555MB
[2022-11-07 17:04:21 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][290/2086]	eta 1:48:41 lr_first 0.000000122 lr_last 0.000001000	time 3.5333 (3.6310)	tot_loss 0.4977 (0.7099)	mem 27555MB
[2022-11-07 17:04:57 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][295/2086]	eta 1:48:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5247 (3.6302)	tot_loss 0.7007 (0.7071)	mem 27555MB
[2022-11-07 17:05:33 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][300/2086]	eta 1:48:03 lr_first 0.000000122 lr_last 0.000001000	time 3.9253 (3.6300)	tot_loss 0.5443 (0.7087)	mem 27555MB
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[2022-11-07 20:23:53 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1950/2086]	eta 0:08:10 lr_first 0.000000122 lr_last 0.000001000	time 3.5533 (3.6098)	tot_loss 0.5179 (0.6996)	mem 27558MB
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[2022-11-07 20:28:40 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1990/2086]	eta 0:05:46 lr_first 0.000000122 lr_last 0.000001000	time 3.5220 (3.6094)	tot_loss 0.5025 (0.6996)	mem 27558MB
[2022-11-07 20:29:16 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1995/2086]	eta 0:05:28 lr_first 0.000000122 lr_last 0.000001000	time 3.6196 (3.6094)	tot_loss 0.4999 (0.6991)	mem 27558MB
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[2022-11-07 20:31:04 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2010/2086]	eta 0:04:34 lr_first 0.000000122 lr_last 0.000001000	time 3.5427 (3.6093)	tot_loss 0.5122 (0.6985)	mem 27558MB
[2022-11-07 20:31:41 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2015/2086]	eta 0:04:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5178 (3.6095)	tot_loss 0.5763 (0.6989)	mem 27558MB
[2022-11-07 20:32:17 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2020/2086]	eta 0:03:58 lr_first 0.000000122 lr_last 0.000001000	time 3.5230 (3.6095)	tot_loss 1.0145 (0.6988)	mem 27558MB
[2022-11-07 20:32:54 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2025/2086]	eta 0:03:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5307 (3.6097)	tot_loss 0.7366 (0.6984)	mem 27558MB
[2022-11-07 20:33:30 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2030/2086]	eta 0:03:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5538 (3.6097)	tot_loss 0.4960 (0.6981)	mem 27558MB
[2022-11-07 20:34:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2035/2086]	eta 0:03:04 lr_first 0.000000122 lr_last 0.000001000	time 3.5512 (3.6097)	tot_loss 0.5002 (0.6977)	mem 27558MB
[2022-11-07 20:34:42 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2040/2086]	eta 0:02:46 lr_first 0.000000122 lr_last 0.000001000	time 3.5261 (3.6096)	tot_loss 0.5028 (0.6977)	mem 27558MB
[2022-11-07 20:35:18 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2045/2086]	eta 0:02:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5331 (3.6096)	tot_loss 0.7495 (0.6977)	mem 27558MB
[2022-11-07 20:35:54 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2050/2086]	eta 0:02:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5193 (3.6095)	tot_loss 3.6696 (0.6989)	mem 27558MB
[2022-11-07 20:36:30 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2055/2086]	eta 0:01:51 lr_first 0.000000122 lr_last 0.000001000	time 3.5209 (3.6095)	tot_loss 0.4925 (0.6990)	mem 27558MB
[2022-11-07 20:37:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2060/2086]	eta 0:01:33 lr_first 0.000000122 lr_last 0.000001000	time 3.6271 (3.6095)	tot_loss 0.5793 (0.6990)	mem 27558MB
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[2022-11-07 20:38:18 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2070/2086]	eta 0:00:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5544 (3.6095)	tot_loss 0.5404 (0.6987)	mem 27558MB
[2022-11-07 20:38:54 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2075/2086]	eta 0:00:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5239 (3.6095)	tot_loss 0.5009 (0.6987)	mem 27558MB
[2022-11-07 20:39:30 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2080/2086]	eta 0:00:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5269 (3.6095)	tot_loss 0.5030 (0.6991)	mem 27558MB
[2022-11-07 20:40:06 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2085/2086]	eta 0:00:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5348 (3.6094)	tot_loss 0.5034 (0.6991)	mem 27558MB
[2022-11-07 20:40:14 eva-1b/14] (main_k722.py 378): INFO EPOCH 0 training takes 4:11:02
[2022-11-07 20:40:14 eva-1b/14] (main_k722.py 398): INFO 4 * 3 views inference
[2022-11-07 20:40:41 eva-1b/14] (main_k722.py 436): INFO Test: [0/133]	Acc@1: 100.000	Acc@5: 100.000	
[2022-11-07 20:43:36 eva-1b/14] (main_k722.py 436): INFO Test: [10/133]	Acc@1: 81.818	Acc@5: 100.000	
[2022-11-07 20:46:31 eva-1b/14] (main_k722.py 436): INFO Test: [20/133]	Acc@1: 73.810	Acc@5: 92.857	
[2022-11-07 20:49:26 eva-1b/14] (main_k722.py 436): INFO Test: [30/133]	Acc@1: 74.194	Acc@5: 95.161	
[2022-11-07 20:52:21 eva-1b/14] (main_k722.py 436): INFO Test: [40/133]	Acc@1: 73.171	Acc@5: 93.902	
[2022-11-07 20:55:15 eva-1b/14] (main_k722.py 436): INFO Test: [50/133]	Acc@1: 72.549	Acc@5: 92.157	
[2022-11-07 20:58:10 eva-1b/14] (main_k722.py 436): INFO Test: [60/133]	Acc@1: 72.951	Acc@5: 91.803	
[2022-11-07 21:01:05 eva-1b/14] (main_k722.py 436): INFO Test: [70/133]	Acc@1: 75.352	Acc@5: 92.254	
[2022-11-07 21:04:00 eva-1b/14] (main_k722.py 436): INFO Test: [80/133]	Acc@1: 76.543	Acc@5: 92.593	
[2022-11-07 21:06:55 eva-1b/14] (main_k722.py 436): INFO Test: [90/133]	Acc@1: 76.923	Acc@5: 92.857	
[2022-11-07 21:09:50 eva-1b/14] (main_k722.py 436): INFO Test: [100/133]	Acc@1: 77.723	Acc@5: 93.564	
[2022-11-07 21:12:44 eva-1b/14] (main_k722.py 436): INFO Test: [110/133]	Acc@1: 78.378	Acc@5: 93.694	
[2022-11-07 21:15:39 eva-1b/14] (main_k722.py 436): INFO Test: [120/133]	Acc@1: 79.339	Acc@5: 93.802	
[2022-11-07 21:18:34 eva-1b/14] (main_k722.py 436): INFO Test: [130/133]	Acc@1: 80.153	Acc@5: 94.275	
[2022-11-07 21:19:09 eva-1b/14] (main_k722.py 442): INFO  * Acc@1 82.621 Acc@5 96.152
[2022-11-07 21:19:09 eva-1b/14] (main_k722.py 219): INFO Accuracy of the network on (33914) test videos: 82.6% (acc@1) / 96.2% (acc@5)
[2022-11-07 21:19:09 eva-1b/14] (main_k722.py 243): INFO Max accuracy: 82.62%
[2022-11-07 21:19:09 eva-1b/14] (tools.py 57): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/ckpt_epoch_0.pth saving......
[2022-11-07 21:19:32 eva-1b/14] (tools.py 59): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/ckpt_epoch_0.pth saved !!!
[2022-11-07 21:19:54 eva-1b/14] (tools.py 63): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/best.pth saved !!!
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[2022-11-07 21:20:37 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][5/2086]	eta 2:15:23 lr_first 0.000000122 lr_last 0.000001000	time 3.5500 (3.9038)	tot_loss 0.5082 (0.9761)	mem 27558MB
[2022-11-07 21:21:13 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][10/2086]	eta 2:10:28 lr_first 0.000000122 lr_last 0.000001000	time 3.5193 (3.7710)	tot_loss 2.9777 (0.9365)	mem 27558MB
[2022-11-07 21:21:50 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][15/2086]	eta 2:09:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5245 (3.7417)	tot_loss 0.4935 (0.8105)	mem 27558MB
[2022-11-07 21:22:25 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][20/2086]	eta 2:07:30 lr_first 0.000000122 lr_last 0.000001000	time 3.5247 (3.7033)	tot_loss 0.4990 (0.8219)	mem 27558MB
[2022-11-07 21:23:02 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][25/2086]	eta 2:06:41 lr_first 0.000000122 lr_last 0.000001000	time 3.5682 (3.6882)	tot_loss 0.5013 (0.7662)	mem 27558MB
[2022-11-07 21:23:37 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][30/2086]	eta 2:05:46 lr_first 0.000000122 lr_last 0.000001000	time 3.5501 (3.6707)	tot_loss 0.5108 (0.7409)	mem 27558MB
[2022-11-07 21:24:13 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][35/2086]	eta 2:05:04 lr_first 0.000000122 lr_last 0.000001000	time 3.5237 (3.6589)	tot_loss 0.5107 (0.7239)	mem 27558MB
[2022-11-07 21:24:50 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][40/2086]	eta 2:04:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5178 (3.6564)	tot_loss 0.4958 (0.6988)	mem 27558MB
[2022-11-07 21:25:26 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][45/2086]	eta 2:04:05 lr_first 0.000000122 lr_last 0.000001000	time 3.5220 (3.6481)	tot_loss 0.4935 (0.6939)	mem 27558MB
[2022-11-07 21:26:02 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][50/2086]	eta 2:03:47 lr_first 0.000000122 lr_last 0.000001000	time 3.5806 (3.6483)	tot_loss 1.5738 (0.6917)	mem 27558MB
[2022-11-07 21:26:38 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][55/2086]	eta 2:03:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5667 (3.6425)	tot_loss 0.9103 (0.7018)	mem 27558MB
[2022-11-07 21:27:14 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][60/2086]	eta 2:02:48 lr_first 0.000000122 lr_last 0.000001000	time 3.5534 (3.6371)	tot_loss 0.4977 (0.6885)	mem 27558MB
[2022-11-07 21:27:50 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][65/2086]	eta 2:02:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5794 (3.6330)	tot_loss 0.5592 (0.6846)	mem 27558MB
[2022-11-07 21:28:26 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][70/2086]	eta 2:02:02 lr_first 0.000000122 lr_last 0.000001000	time 3.5260 (3.6323)	tot_loss 2.1532 (0.7020)	mem 27558MB
[2022-11-07 21:29:02 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][75/2086]	eta 2:01:38 lr_first 0.000000122 lr_last 0.000001000	time 3.5371 (3.6291)	tot_loss 0.6320 (0.6931)	mem 27558MB
[2022-11-07 21:29:37 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][80/2086]	eta 2:01:12 lr_first 0.000000122 lr_last 0.000001000	time 3.5187 (3.6256)	tot_loss 0.5493 (0.6886)	mem 27558MB
[2022-11-07 21:30:14 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][85/2086]	eta 2:00:56 lr_first 0.000000122 lr_last 0.000001000	time 3.6735 (3.6262)	tot_loss 0.5075 (0.6956)	mem 27558MB
[2022-11-07 21:30:50 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][90/2086]	eta 2:00:34 lr_first 0.000000122 lr_last 0.000001000	time 3.5531 (3.6245)	tot_loss 0.4968 (0.6852)	mem 27558MB
[2022-11-07 21:31:25 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][95/2086]	eta 2:00:12 lr_first 0.000000122 lr_last 0.000001000	time 3.5188 (3.6226)	tot_loss 0.6576 (0.6873)	mem 27558MB
[2022-11-07 21:32:02 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][100/2086]	eta 1:59:58 lr_first 0.000000122 lr_last 0.000001000	time 3.5231 (3.6248)	tot_loss 0.4977 (0.6794)	mem 27558MB
[2022-11-07 21:32:38 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][105/2086]	eta 1:59:37 lr_first 0.000000122 lr_last 0.000001000	time 3.5278 (3.6232)	tot_loss 0.4941 (0.6736)	mem 27558MB
[2022-11-07 21:33:14 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][110/2086]	eta 1:59:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5252 (3.6212)	tot_loss 0.5339 (0.6672)	mem 27558MB
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[2022-11-07 21:34:26 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][120/2086]	eta 1:58:37 lr_first 0.000000122 lr_last 0.000001000	time 3.5615 (3.6204)	tot_loss 2.1286 (0.6625)	mem 27558MB
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[2022-11-07 21:35:38 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][130/2086]	eta 1:57:55 lr_first 0.000000122 lr_last 0.000001000	time 3.5724 (3.6175)	tot_loss 0.5219 (0.6529)	mem 27558MB
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[2022-11-07 21:38:01 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][150/2086]	eta 1:56:36 lr_first 0.000000122 lr_last 0.000001000	time 3.5707 (3.6139)	tot_loss 0.4990 (0.6535)	mem 27558MB
[2022-11-07 21:38:37 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][155/2086]	eta 1:56:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5258 (3.6123)	tot_loss 0.9367 (0.6554)	mem 27558MB
[2022-11-07 21:39:13 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][160/2086]	eta 1:55:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5217 (3.6110)	tot_loss 0.4991 (0.6652)	mem 27558MB
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[2022-11-08 01:19:05 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1990/2086]	eta 0:05:46 lr_first 0.000000122 lr_last 0.000001000	time 3.5272 (3.6050)	tot_loss 0.5090 (0.6904)	mem 27558MB
[2022-11-08 01:19:41 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1995/2086]	eta 0:05:28 lr_first 0.000000122 lr_last 0.000001000	time 3.6405 (3.6049)	tot_loss 0.5000 (0.6909)	mem 27558MB
[2022-11-08 01:20:17 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2000/2086]	eta 0:05:10 lr_first 0.000000122 lr_last 0.000001000	time 3.8610 (3.6049)	tot_loss 0.4969 (0.6905)	mem 27558MB
[2022-11-08 01:20:53 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2005/2086]	eta 0:04:51 lr_first 0.000000122 lr_last 0.000001000	time 3.5577 (3.6049)	tot_loss 0.5197 (0.6904)	mem 27558MB
[2022-11-08 01:21:29 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2010/2086]	eta 0:04:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5559 (3.6048)	tot_loss 0.4938 (0.6903)	mem 27558MB
[2022-11-08 01:22:05 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2015/2086]	eta 0:04:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5739 (3.6048)	tot_loss 0.4964 (0.6899)	mem 27558MB
[2022-11-08 01:22:41 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2020/2086]	eta 0:03:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5345 (3.6050)	tot_loss 0.4963 (0.6901)	mem 27558MB
[2022-11-08 01:23:17 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2025/2086]	eta 0:03:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5210 (3.6050)	tot_loss 0.5062 (0.6902)	mem 27558MB
[2022-11-08 01:23:53 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2030/2086]	eta 0:03:21 lr_first 0.000000122 lr_last 0.000001000	time 3.8899 (3.6050)	tot_loss 1.5925 (0.6901)	mem 27558MB
[2022-11-08 01:24:29 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2035/2086]	eta 0:03:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5739 (3.6050)	tot_loss 0.6672 (0.6898)	mem 27558MB
[2022-11-08 01:25:05 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2040/2086]	eta 0:02:45 lr_first 0.000000122 lr_last 0.000001000	time 3.5582 (3.6049)	tot_loss 0.5152 (0.6902)	mem 27558MB
[2022-11-08 01:25:41 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2045/2086]	eta 0:02:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5527 (3.6048)	tot_loss 0.4985 (0.6904)	mem 27558MB
[2022-11-08 01:26:17 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2050/2086]	eta 0:02:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5500 (3.6048)	tot_loss 0.5332 (0.6902)	mem 27558MB
[2022-11-08 01:26:53 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2055/2086]	eta 0:01:51 lr_first 0.000000122 lr_last 0.000001000	time 3.5492 (3.6047)	tot_loss 0.6448 (0.6898)	mem 27558MB
[2022-11-08 01:27:28 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2060/2086]	eta 0:01:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5467 (3.6047)	tot_loss 0.5037 (0.6895)	mem 27558MB
[2022-11-08 01:28:04 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2065/2086]	eta 0:01:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5269 (3.6046)	tot_loss 0.6412 (0.6893)	mem 27558MB
[2022-11-08 01:28:41 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2070/2086]	eta 0:00:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5272 (3.6047)	tot_loss 1.3376 (0.6892)	mem 27558MB
[2022-11-08 01:29:17 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2075/2086]	eta 0:00:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5300 (3.6047)	tot_loss 0.5213 (0.6890)	mem 27558MB
[2022-11-08 01:29:52 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2080/2086]	eta 0:00:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5673 (3.6046)	tot_loss 0.5055 (0.6890)	mem 27558MB
[2022-11-08 01:30:28 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2085/2086]	eta 0:00:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5208 (3.6046)	tot_loss 0.5060 (0.6887)	mem 27558MB
[2022-11-08 01:30:36 eva-1b/14] (main_k722.py 378): INFO EPOCH 1 training takes 4:10:42
[2022-11-08 01:30:36 eva-1b/14] (main_k722.py 398): INFO 4 * 3 views inference
[2022-11-08 01:31:00 eva-1b/14] (main_k722.py 436): INFO Test: [0/133]	Acc@1: 100.000	Acc@5: 100.000	
[2022-11-08 01:33:54 eva-1b/14] (main_k722.py 436): INFO Test: [10/133]	Acc@1: 81.818	Acc@5: 95.455	
[2022-11-08 01:36:49 eva-1b/14] (main_k722.py 436): INFO Test: [20/133]	Acc@1: 73.810	Acc@5: 92.857	
[2022-11-08 01:39:44 eva-1b/14] (main_k722.py 436): INFO Test: [30/133]	Acc@1: 74.194	Acc@5: 91.935	
[2022-11-08 01:42:39 eva-1b/14] (main_k722.py 436): INFO Test: [40/133]	Acc@1: 75.610	Acc@5: 92.683	
[2022-11-08 01:45:33 eva-1b/14] (main_k722.py 436): INFO Test: [50/133]	Acc@1: 79.412	Acc@5: 94.118	
[2022-11-08 01:48:28 eva-1b/14] (main_k722.py 436): INFO Test: [60/133]	Acc@1: 79.508	Acc@5: 93.443	
[2022-11-08 01:51:23 eva-1b/14] (main_k722.py 436): INFO Test: [70/133]	Acc@1: 80.986	Acc@5: 94.366	
[2022-11-08 01:54:18 eva-1b/14] (main_k722.py 436): INFO Test: [80/133]	Acc@1: 79.012	Acc@5: 93.827	
[2022-11-08 01:57:12 eva-1b/14] (main_k722.py 436): INFO Test: [90/133]	Acc@1: 79.670	Acc@5: 93.956	
[2022-11-08 02:00:07 eva-1b/14] (main_k722.py 436): INFO Test: [100/133]	Acc@1: 79.208	Acc@5: 94.059	
[2022-11-08 02:03:02 eva-1b/14] (main_k722.py 436): INFO Test: [110/133]	Acc@1: 80.180	Acc@5: 94.595	
[2022-11-08 02:05:57 eva-1b/14] (main_k722.py 436): INFO Test: [120/133]	Acc@1: 78.926	Acc@5: 93.802	
[2022-11-08 02:08:51 eva-1b/14] (main_k722.py 436): INFO Test: [130/133]	Acc@1: 79.389	Acc@5: 94.275	
[2022-11-08 02:09:29 eva-1b/14] (main_k722.py 442): INFO  * Acc@1 82.892 Acc@5 96.146
[2022-11-08 02:09:29 eva-1b/14] (main_k722.py 219): INFO Accuracy of the network on (33914) test videos: 82.9% (acc@1) / 96.1% (acc@5)
[2022-11-08 02:09:29 eva-1b/14] (main_k722.py 243): INFO Max accuracy: 82.89%
[2022-11-08 02:09:29 eva-1b/14] (tools.py 57): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/ckpt_epoch_1.pth saving......
[2022-11-08 02:09:53 eva-1b/14] (tools.py 59): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/ckpt_epoch_1.pth saved !!!
[2022-11-08 02:10:14 eva-1b/14] (tools.py 63): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/best.pth saved !!!
[2022-11-08 02:10:20 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][0/2086]	eta 3:20:42 lr_first 0.000000122 lr_last 0.000001000	time 5.7731 (5.7731)	tot_loss 0.5522 (0.5522)	mem 27558MB
[2022-11-08 02:10:56 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][5/2086]	eta 2:11:18 lr_first 0.000000122 lr_last 0.000001000	time 3.5443 (3.7858)	tot_loss 0.5230 (0.8694)	mem 27558MB
[2022-11-08 02:11:33 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][10/2086]	eta 2:08:58 lr_first 0.000000122 lr_last 0.000001000	time 3.5203 (3.7276)	tot_loss 0.4960 (0.7838)	mem 27558MB
[2022-11-08 02:12:09 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][15/2086]	eta 2:07:38 lr_first 0.000000122 lr_last 0.000001000	time 3.5312 (3.6979)	tot_loss 0.5514 (0.7109)	mem 27558MB
[2022-11-08 02:12:45 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][20/2086]	eta 2:06:30 lr_first 0.000000122 lr_last 0.000001000	time 3.7488 (3.6741)	tot_loss 0.5441 (0.6711)	mem 27558MB
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[2022-11-08 06:16:01 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2045/2086]	eta 0:02:27 lr_first 0.000000122 lr_last 0.000001000	time 3.7333 (3.6047)	tot_loss 0.6526 (0.7059)	mem 27558MB
[2022-11-08 06:16:38 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2050/2086]	eta 0:02:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5535 (3.6048)	tot_loss 0.8887 (0.7066)	mem 27558MB
[2022-11-08 06:17:14 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2055/2086]	eta 0:01:51 lr_first 0.000000122 lr_last 0.000001000	time 3.5857 (3.6047)	tot_loss 0.8103 (0.7065)	mem 27558MB
[2022-11-08 06:17:49 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2060/2086]	eta 0:01:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5693 (3.6047)	tot_loss 0.6978 (0.7063)	mem 27558MB
[2022-11-08 06:18:25 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2065/2086]	eta 0:01:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5734 (3.6046)	tot_loss 1.0114 (0.7066)	mem 27558MB
[2022-11-08 06:19:01 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2070/2086]	eta 0:00:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5176 (3.6047)	tot_loss 0.5082 (0.7068)	mem 27558MB
[2022-11-08 06:19:37 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2075/2086]	eta 0:00:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5216 (3.6046)	tot_loss 0.4939 (0.7063)	mem 27558MB
[2022-11-08 06:20:13 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2080/2086]	eta 0:00:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5170 (3.6046)	tot_loss 0.5044 (0.7063)	mem 27558MB
[2022-11-08 06:20:49 eva-1b/14] (main_k722.py 359): INFO Train: [2/10][2085/2086]	eta 0:00:03 lr_first 0.000000122 lr_last 0.000001000	time 3.8307 (3.6045)	tot_loss 0.5457 (0.7061)	mem 27558MB
[2022-11-08 06:20:57 eva-1b/14] (main_k722.py 378): INFO EPOCH 2 training takes 4:10:42
[2022-11-08 06:20:57 eva-1b/14] (main_k722.py 398): INFO 4 * 3 views inference
[2022-11-08 06:21:21 eva-1b/14] (main_k722.py 436): INFO Test: [0/133]	Acc@1: 100.000	Acc@5: 100.000	
[2022-11-08 06:24:16 eva-1b/14] (main_k722.py 436): INFO Test: [10/133]	Acc@1: 81.818	Acc@5: 95.455	
[2022-11-08 06:27:11 eva-1b/14] (main_k722.py 436): INFO Test: [20/133]	Acc@1: 80.952	Acc@5: 95.238	
[2022-11-08 06:30:06 eva-1b/14] (main_k722.py 436): INFO Test: [30/133]	Acc@1: 80.645	Acc@5: 95.161	
[2022-11-08 06:33:00 eva-1b/14] (main_k722.py 436): INFO Test: [40/133]	Acc@1: 80.488	Acc@5: 96.341	
[2022-11-08 06:35:55 eva-1b/14] (main_k722.py 436): INFO Test: [50/133]	Acc@1: 82.353	Acc@5: 96.078	
[2022-11-08 06:38:50 eva-1b/14] (main_k722.py 436): INFO Test: [60/133]	Acc@1: 81.967	Acc@5: 95.902	
[2022-11-08 06:41:44 eva-1b/14] (main_k722.py 436): INFO Test: [70/133]	Acc@1: 82.394	Acc@5: 95.775	
[2022-11-08 06:44:39 eva-1b/14] (main_k722.py 436): INFO Test: [80/133]	Acc@1: 80.864	Acc@5: 95.679	
[2022-11-08 06:47:34 eva-1b/14] (main_k722.py 436): INFO Test: [90/133]	Acc@1: 80.220	Acc@5: 94.505	
[2022-11-08 06:50:29 eva-1b/14] (main_k722.py 436): INFO Test: [100/133]	Acc@1: 80.693	Acc@5: 95.050	
[2022-11-08 06:53:23 eva-1b/14] (main_k722.py 436): INFO Test: [110/133]	Acc@1: 80.180	Acc@5: 94.144	
[2022-11-08 06:56:18 eva-1b/14] (main_k722.py 436): INFO Test: [120/133]	Acc@1: 80.579	Acc@5: 94.215	
[2022-11-08 06:59:13 eva-1b/14] (main_k722.py 436): INFO Test: [130/133]	Acc@1: 80.153	Acc@5: 94.656	
[2022-11-08 06:59:51 eva-1b/14] (main_k722.py 442): INFO  * Acc@1 82.742 Acc@5 96.049
[2022-11-08 06:59:51 eva-1b/14] (main_k722.py 219): INFO Accuracy of the network on (33914) test videos: 82.7% (acc@1) / 96.0% (acc@5)
[2022-11-08 06:59:51 eva-1b/14] (main_k722.py 243): INFO Max accuracy: 82.89%
[2022-11-08 06:59:51 eva-1b/14] (tools.py 57): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/ckpt_epoch_2.pth saving......
[2022-11-08 07:00:15 eva-1b/14] (tools.py 59): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k700/k722init_allft-1107-08/ckpt_epoch_2.pth saved !!!
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[2022-11-08 07:01:32 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][10/2086]	eta 2:06:50 lr_first 0.000000122 lr_last 0.000001000	time 3.5505 (3.6657)	tot_loss 0.5575 (1.0304)	mem 27558MB
[2022-11-08 07:02:08 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][15/2086]	eta 2:05:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5279 (3.6385)	tot_loss 0.5598 (0.9211)	mem 27558MB
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[2022-11-08 07:03:20 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][25/2086]	eta 2:04:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5176 (3.6263)	tot_loss 0.5370 (0.7961)	mem 27558MB
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[2022-11-08 07:06:20 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][50/2086]	eta 2:02:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5322 (3.6149)	tot_loss 0.5259 (0.7112)	mem 27558MB
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[2022-11-08 07:11:09 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][90/2086]	eta 2:00:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5344 (3.6090)	tot_loss 0.5401 (0.7157)	mem 27558MB
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[2022-11-08 07:12:21 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][100/2086]	eta 1:59:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5188 (3.6091)	tot_loss 0.4941 (0.7136)	mem 27558MB
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[2022-11-08 07:16:33 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][135/2086]	eta 1:57:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5213 (3.6073)	tot_loss 0.4953 (0.6979)	mem 27558MB
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[2022-11-08 07:25:32 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][210/2086]	eta 1:52:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5752 (3.6036)	tot_loss 0.5087 (0.7085)	mem 27558MB
[2022-11-08 07:26:08 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][215/2086]	eta 1:52:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5205 (3.6029)	tot_loss 1.6620 (0.7103)	mem 27558MB
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[2022-11-08 08:24:21 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][700/2086]	eta 1:23:11 lr_first 0.000000122 lr_last 0.000001000	time 3.5652 (3.6015)	tot_loss 0.5039 (0.6784)	mem 27558MB
[2022-11-08 08:24:57 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][705/2086]	eta 1:22:53 lr_first 0.000000122 lr_last 0.000001000	time 3.6031 (3.6015)	tot_loss 0.4978 (0.6779)	mem 27558MB
[2022-11-08 08:25:33 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][710/2086]	eta 1:22:35 lr_first 0.000000122 lr_last 0.000001000	time 3.6151 (3.6014)	tot_loss 0.4956 (0.6771)	mem 27558MB
[2022-11-08 08:26:09 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][715/2086]	eta 1:22:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5176 (3.6015)	tot_loss 0.5002 (0.6770)	mem 27558MB
[2022-11-08 08:26:45 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][720/2086]	eta 1:21:59 lr_first 0.000000122 lr_last 0.000001000	time 3.5296 (3.6014)	tot_loss 0.4972 (0.6781)	mem 27558MB
[2022-11-08 08:27:21 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][725/2086]	eta 1:21:41 lr_first 0.000000122 lr_last 0.000001000	time 3.5383 (3.6013)	tot_loss 0.4931 (0.6776)	mem 27558MB
[2022-11-08 08:27:57 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][730/2086]	eta 1:21:23 lr_first 0.000000122 lr_last 0.000001000	time 3.5255 (3.6014)	tot_loss 0.4967 (0.6777)	mem 27558MB
[2022-11-08 08:28:34 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][735/2086]	eta 1:21:06 lr_first 0.000000122 lr_last 0.000001000	time 3.5781 (3.6018)	tot_loss 0.4958 (0.6779)	mem 27558MB
[2022-11-08 08:29:09 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][740/2086]	eta 1:20:47 lr_first 0.000000122 lr_last 0.000001000	time 3.5580 (3.6017)	tot_loss 0.5048 (0.6773)	mem 27558MB
[2022-11-08 08:29:45 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][745/2086]	eta 1:20:29 lr_first 0.000000122 lr_last 0.000001000	time 3.6426 (3.6016)	tot_loss 0.5039 (0.6789)	mem 27558MB
[2022-11-08 08:30:21 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][750/2086]	eta 1:20:11 lr_first 0.000000122 lr_last 0.000001000	time 3.5919 (3.6015)	tot_loss 0.4930 (0.6787)	mem 27558MB
[2022-11-08 08:30:57 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][755/2086]	eta 1:19:53 lr_first 0.000000122 lr_last 0.000001000	time 3.5572 (3.6014)	tot_loss 1.1761 (0.6780)	mem 27558MB
[2022-11-08 08:31:33 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][760/2086]	eta 1:19:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5606 (3.6013)	tot_loss 1.0075 (0.6801)	mem 27558MB
[2022-11-08 08:32:09 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][765/2086]	eta 1:19:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5482 (3.6012)	tot_loss 0.5076 (0.6807)	mem 27558MB
[2022-11-08 08:32:45 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][770/2086]	eta 1:18:59 lr_first 0.000000122 lr_last 0.000001000	time 3.5152 (3.6012)	tot_loss 0.5133 (0.6824)	mem 27558MB
[2022-11-08 08:33:21 eva-1b/14] (main_k722.py 359): INFO Train: [3/10][775/2086]	eta 1:18:41 lr_first 0.000000122 lr_last 0.000001000	time 3.5221 (3.6011)	tot_loss 0.5459 (0.6816)	mem 27558MB