ft_k600_log.txt

[2022-11-07 23:50:17 eva-1b/14] (main_k722.py 473): INFO working dir: /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10
[2022-11-07 23:50:24 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: kinetics600
  INPUT_SIZE: 224
  LABEL_LIST: labels/kinetics_600_labels.csv
  NUM_CLASSES: 600
  NUM_FRAMES: 16
  ROOT: data/
  TRAIN_FILE: data/k600_train.txt
  TUBELET_SIZE: 1
  VAL_FILE: data/k600_val.txt
LOCAL_RANK: 0
MODEL:
  ARCH: eva-1b/14
  CLASS_MAPPING: data/k722_to_k600_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/k600/k722init_allft-1107-10
PRINT_FREQ: 10
SAVE_FREQ: 1
SEED: 1024
TEST:
  BATCH_SIZE: 2
  MULTI_VIEW: False
  NUM_CLIP: 4
  NUM_CROP: 3
  ONLY_TEST: False
TRAIN:
  ACCUMULATION_STEPS: 4
  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 23:50:48 eva-1b/14] (yclip_mae.py 295): INFO Loading masked key head.weight from data/k722_to_k600_mapping.npy
[2022-11-07 23:50:48 eva-1b/14] (yclip_mae.py 295): INFO Loading masked key head.bias from data/k722_to_k600_mapping.npy
[2022-11-07 23:50:50 eva-1b/14] (yclip_mae.py 339): INFO Loading pretrained: <All keys matched successfully>
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO cls_token requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO pos_embed requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO patch_embed.proj.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO patch_embed.proj.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.0.norm1.weight requires_grad = True
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[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.37.mlp.fc2.weight requires_grad = True
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[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm1.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm1.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.q_bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.v_bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.qkv.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.proj.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.attn.proj.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm2.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.norm2.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc1.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc1.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc2.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.38.mlp.fc2.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm1.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm1.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.q_bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.v_bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.qkv.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.proj.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.attn.proj.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm2.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.norm2.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc1.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc1.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc2.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO blocks.39.mlp.fc2.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO fc_norm.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO fc_norm.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO head.weight requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 142): INFO head.bias requires_grad = True
[2022-11-07 23:50:51 eva-1b/14] (main_k722.py 148): INFO number of params: 1017.3982MB
[2022-11-07 23:50:51 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 23:51:12 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][0/1612]	eta 9:07:40 lr_first 0.000000122 lr_last 0.000001000	time 20.3848 (20.3848)	tot_loss 0.2493 (0.2493)	mem 15885MB
[2022-11-07 23:51:47 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][2/1612]	eta 2:16:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5452 (5.0704)	tot_loss 0.2544 (0.3225)	mem 19779MB
[2022-11-07 23:52:25 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][5/1612]	eta 1:58:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5213 (4.4414)	tot_loss 0.5681 (0.3153)	mem 27548MB
[2022-11-07 23:53:01 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][7/1612]	eta 1:51:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5139 (4.1599)	tot_loss 0.2459 (0.3370)	mem 27548MB
[2022-11-07 23:53:36 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][10/1612]	eta 1:47:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5194 (4.0135)	tot_loss 0.3542 (0.3378)	mem 27552MB
[2022-11-07 23:54:12 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][12/1612]	eta 1:44:36 lr_first 0.000000122 lr_last 0.000001000	time 3.5388 (3.9229)	tot_loss 0.3866 (0.3378)	mem 27552MB
[2022-11-07 23:54:47 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][15/1612]	eta 1:42:49 lr_first 0.000000122 lr_last 0.000001000	time 3.5270 (3.8630)	tot_loss 0.6614 (0.3600)	mem 27552MB
[2022-11-07 23:55:23 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][17/1612]	eta 1:41:31 lr_first 0.000000122 lr_last 0.000001000	time 3.5198 (3.8189)	tot_loss 0.2577 (0.3467)	mem 27552MB
[2022-11-07 23:55:58 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][20/1612]	eta 1:40:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5181 (3.7859)	tot_loss 0.2631 (0.3449)	mem 27552MB
[2022-11-07 23:56:34 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][22/1612]	eta 1:39:38 lr_first 0.000000122 lr_last 0.000001000	time 3.5173 (3.7601)	tot_loss 0.2622 (0.3391)	mem 27552MB
[2022-11-07 23:57:09 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][25/1612]	eta 1:38:55 lr_first 0.000000122 lr_last 0.000001000	time 3.5179 (3.7402)	tot_loss 0.2432 (0.3338)	mem 27552MB
[2022-11-07 23:57:45 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][27/1612]	eta 1:38:20 lr_first 0.000000122 lr_last 0.000001000	time 3.5212 (3.7227)	tot_loss 0.2440 (0.3337)	mem 27552MB
[2022-11-07 23:58:20 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][30/1612]	eta 1:37:46 lr_first 0.000000122 lr_last 0.000001000	time 3.5184 (3.7084)	tot_loss 0.2441 (0.3422)	mem 27552MB
[2022-11-07 23:58:56 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][32/1612]	eta 1:37:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5458 (3.7009)	tot_loss 0.2436 (0.3383)	mem 27552MB
[2022-11-07 23:59:33 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][35/1612]	eta 1:37:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5627 (3.6952)	tot_loss 0.2558 (0.3379)	mem 27552MB
[2022-11-08 00:00:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][37/1612]	eta 1:36:45 lr_first 0.000000122 lr_last 0.000001000	time 3.5431 (3.6858)	tot_loss 0.2418 (0.3365)	mem 27552MB
[2022-11-08 00:00:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][40/1612]	eta 1:36:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5441 (3.6782)	tot_loss 0.2420 (0.3385)	mem 27552MB
[2022-11-08 00:01:19 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][42/1612]	eta 1:36:04 lr_first 0.000000122 lr_last 0.000001000	time 3.5446 (3.6714)	tot_loss 0.5019 (0.3362)	mem 27552MB
[2022-11-08 00:01:55 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][45/1612]	eta 1:35:43 lr_first 0.000000122 lr_last 0.000001000	time 3.5488 (3.6652)	tot_loss 0.2548 (0.3377)	mem 27553MB
[2022-11-08 00:02:31 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][47/1612]	eta 1:35:31 lr_first 0.000000122 lr_last 0.000001000	time 4.0264 (3.6623)	tot_loss 0.7421 (0.3431)	mem 27556MB
[2022-11-08 00:03:07 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][50/1612]	eta 1:35:12 lr_first 0.000000122 lr_last 0.000001000	time 3.5477 (3.6572)	tot_loss 0.2437 (0.3391)	mem 27556MB
[2022-11-08 00:03:42 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][52/1612]	eta 1:34:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5543 (3.6526)	tot_loss 0.2474 (0.3362)	mem 27556MB
[2022-11-08 00:04:18 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][55/1612]	eta 1:34:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5510 (3.6483)	tot_loss 0.4783 (0.3338)	mem 27556MB
[2022-11-08 00:04:53 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][57/1612]	eta 1:34:26 lr_first 0.000000122 lr_last 0.000001000	time 3.5305 (3.6440)	tot_loss 0.3992 (0.3309)	mem 27556MB
[2022-11-08 00:05:29 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][60/1612]	eta 1:34:10 lr_first 0.000000122 lr_last 0.000001000	time 3.5238 (3.6410)	tot_loss 0.2458 (0.3292)	mem 27556MB
[2022-11-08 00:06:05 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][62/1612]	eta 1:34:00 lr_first 0.000000122 lr_last 0.000001000	time 3.5185 (3.6389)	tot_loss 0.2437 (0.3282)	mem 27556MB
[2022-11-08 00:06:41 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][65/1612]	eta 1:33:45 lr_first 0.000000122 lr_last 0.000001000	time 3.5261 (3.6367)	tot_loss 0.4342 (0.3299)	mem 27556MB
[2022-11-08 00:07:16 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][67/1612]	eta 1:33:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5237 (3.6336)	tot_loss 0.2442 (0.3297)	mem 27556MB
[2022-11-08 00:07:52 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][70/1612]	eta 1:33:18 lr_first 0.000000122 lr_last 0.000001000	time 3.5218 (3.6309)	tot_loss 0.2437 (0.3269)	mem 27556MB
[2022-11-08 00:08:27 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][72/1612]	eta 1:33:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5192 (3.6280)	tot_loss 0.3297 (0.3244)	mem 27556MB
[2022-11-08 00:09:03 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][75/1612]	eta 1:32:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5427 (3.6272)	tot_loss 0.2451 (0.3278)	mem 27556MB
[2022-11-08 00:09:39 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][77/1612]	eta 1:32:44 lr_first 0.000000122 lr_last 0.000001000	time 3.5481 (3.6250)	tot_loss 0.2511 (0.3297)	mem 27556MB
[2022-11-08 00:10:15 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][80/1612]	eta 1:32:30 lr_first 0.000000122 lr_last 0.000001000	time 3.5466 (3.6232)	tot_loss 0.2489 (0.3291)	mem 27556MB
[2022-11-08 00:10:50 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][82/1612]	eta 1:32:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5197 (3.6219)	tot_loss 0.2426 (0.3266)	mem 27556MB
[2022-11-08 00:11:26 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][85/1612]	eta 1:32:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5157 (3.6202)	tot_loss 0.2657 (0.3264)	mem 27556MB
[2022-11-08 00:12:02 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][87/1612]	eta 1:31:57 lr_first 0.000000122 lr_last 0.000001000	time 3.5199 (3.6182)	tot_loss 0.2476 (0.3255)	mem 27556MB
[2022-11-08 00:12:37 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][90/1612]	eta 1:31:44 lr_first 0.000000122 lr_last 0.000001000	time 3.5179 (3.6164)	tot_loss 0.2491 (0.3235)	mem 27556MB
[2022-11-08 00:13:13 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][92/1612]	eta 1:31:37 lr_first 0.000000122 lr_last 0.000001000	time 3.5452 (3.6167)	tot_loss 0.2440 (0.3232)	mem 27556MB
[2022-11-08 00:13:49 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][95/1612]	eta 1:31:24 lr_first 0.000000122 lr_last 0.000001000	time 3.5828 (3.6153)	tot_loss 0.2457 (0.3213)	mem 27556MB
[2022-11-08 00:14:25 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][97/1612]	eta 1:31:14 lr_first 0.000000122 lr_last 0.000001000	time 3.5344 (3.6137)	tot_loss 0.2439 (0.3217)	mem 27556MB
[2022-11-08 00:15:00 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][100/1612]	eta 1:31:01 lr_first 0.000000122 lr_last 0.000001000	time 3.5175 (3.6122)	tot_loss 0.2435 (0.3235)	mem 27556MB
[2022-11-08 00:15:36 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][102/1612]	eta 1:30:55 lr_first 0.000000122 lr_last 0.000001000	time 3.5186 (3.6128)	tot_loss 0.2567 (0.3245)	mem 27556MB
[2022-11-08 00:16:12 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][105/1612]	eta 1:30:42 lr_first 0.000000122 lr_last 0.000001000	time 3.5278 (3.6115)	tot_loss 0.2436 (0.3228)	mem 27556MB
[2022-11-08 00:16:48 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][107/1612]	eta 1:30:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5300 (3.6115)	tot_loss 0.2438 (0.3251)	mem 27556MB
[2022-11-08 00:17:24 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][110/1612]	eta 1:30:24 lr_first 0.000000122 lr_last 0.000001000	time 3.6424 (3.6115)	tot_loss 0.2493 (0.3244)	mem 27556MB
[2022-11-08 00:18:00 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][112/1612]	eta 1:30:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5489 (3.6106)	tot_loss 0.2433 (0.3230)	mem 27556MB
[2022-11-08 00:18:36 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][115/1612]	eta 1:30:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5483 (3.6095)	tot_loss 0.2548 (0.3226)	mem 27556MB
[2022-11-08 00:19:11 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][117/1612]	eta 1:29:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5179 (3.6081)	tot_loss 0.2438 (0.3273)	mem 27556MB
[2022-11-08 00:19:47 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][120/1612]	eta 1:29:41 lr_first 0.000000122 lr_last 0.000001000	time 3.5437 (3.6070)	tot_loss 0.2676 (0.3262)	mem 27556MB
[2022-11-08 00:20:22 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][122/1612]	eta 1:29:32 lr_first 0.000000122 lr_last 0.000001000	time 3.5463 (3.6059)	tot_loss 0.2892 (0.3295)	mem 27556MB
[2022-11-08 00:20:58 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][125/1612]	eta 1:29:20 lr_first 0.000000122 lr_last 0.000001000	time 3.5471 (3.6051)	tot_loss 0.2433 (0.3342)	mem 27556MB
[2022-11-08 00:21:33 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][127/1612]	eta 1:29:12 lr_first 0.000000122 lr_last 0.000001000	time 3.5485 (3.6041)	tot_loss 0.2422 (0.3325)	mem 27556MB
[2022-11-08 00:22:09 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][130/1612]	eta 1:29:01 lr_first 0.000000122 lr_last 0.000001000	time 3.5303 (3.6040)	tot_loss 0.2451 (0.3310)	mem 27556MB
[2022-11-08 00:22:45 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][132/1612]	eta 1:28:52 lr_first 0.000000122 lr_last 0.000001000	time 3.5236 (3.6032)	tot_loss 0.2473 (0.3298)	mem 27556MB
[2022-11-08 00:23:21 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][135/1612]	eta 1:28:40 lr_first 0.000000122 lr_last 0.000001000	time 3.6155 (3.6025)	tot_loss 0.2464 (0.3312)	mem 27556MB
[2022-11-08 00:23:56 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][137/1612]	eta 1:28:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5573 (3.6023)	tot_loss 0.3761 (0.3309)	mem 27556MB
[2022-11-08 00:24:32 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][140/1612]	eta 1:28:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5710 (3.6015)	tot_loss 0.2986 (0.3297)	mem 27556MB
[2022-11-08 00:25:08 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][142/1612]	eta 1:28:13 lr_first 0.000000122 lr_last 0.000001000	time 3.5611 (3.6013)	tot_loss 0.2810 (0.3292)	mem 27556MB
[2022-11-08 00:25:44 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][145/1612]	eta 1:28:02 lr_first 0.000000122 lr_last 0.000001000	time 3.5454 (3.6007)	tot_loss 0.2439 (0.3308)	mem 27556MB
[2022-11-08 00:26:19 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][147/1612]	eta 1:27:53 lr_first 0.000000122 lr_last 0.000001000	time 3.5433 (3.5999)	tot_loss 0.2730 (0.3313)	mem 27556MB
[2022-11-08 00:26:55 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][150/1612]	eta 1:27:42 lr_first 0.000000122 lr_last 0.000001000	time 3.5447 (3.5993)	tot_loss 0.2461 (0.3312)	mem 27556MB
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[2022-11-08 06:03:53 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1567/1612]	eta 0:02:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5268 (3.5690)	tot_loss 0.2423 (0.3130)	mem 27559MB
[2022-11-08 06:04:29 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1570/1612]	eta 0:02:29 lr_first 0.000000122 lr_last 0.000001000	time 3.5213 (3.5691)	tot_loss 0.2601 (0.3132)	mem 27559MB
[2022-11-08 06:05:04 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1572/1612]	eta 0:02:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5198 (3.5691)	tot_loss 0.2430 (0.3132)	mem 27559MB
[2022-11-08 06:05:40 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1575/1612]	eta 0:02:12 lr_first 0.000000122 lr_last 0.000001000	time 3.5179 (3.5690)	tot_loss 0.4042 (0.3132)	mem 27559MB
[2022-11-08 06:06:16 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1577/1612]	eta 0:02:04 lr_first 0.000000122 lr_last 0.000001000	time 3.5173 (3.5690)	tot_loss 0.4493 (0.3132)	mem 27559MB
[2022-11-08 06:06:51 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1580/1612]	eta 0:01:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5180 (3.5690)	tot_loss 0.2439 (0.3132)	mem 27559MB
[2022-11-08 06:07:27 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1582/1612]	eta 0:01:47 lr_first 0.000000122 lr_last 0.000001000	time 3.5163 (3.5691)	tot_loss 0.2468 (0.3132)	mem 27559MB
[2022-11-08 06:08:04 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1585/1612]	eta 0:01:36 lr_first 0.000000122 lr_last 0.000001000	time 3.8740 (3.5692)	tot_loss 0.2429 (0.3135)	mem 27559MB
[2022-11-08 06:08:39 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1587/1612]	eta 0:01:29 lr_first 0.000000122 lr_last 0.000001000	time 3.5454 (3.5691)	tot_loss 0.2434 (0.3136)	mem 27559MB
[2022-11-08 06:09:15 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1590/1612]	eta 0:01:18 lr_first 0.000000122 lr_last 0.000001000	time 3.5501 (3.5691)	tot_loss 0.3133 (0.3137)	mem 27559MB
[2022-11-08 06:09:50 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1592/1612]	eta 0:01:11 lr_first 0.000000122 lr_last 0.000001000	time 3.5448 (3.5691)	tot_loss 0.2676 (0.3138)	mem 27559MB
[2022-11-08 06:10:26 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1595/1612]	eta 0:01:00 lr_first 0.000000122 lr_last 0.000001000	time 3.5539 (3.5691)	tot_loss 0.2441 (0.3137)	mem 27559MB
[2022-11-08 06:11:01 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1597/1612]	eta 0:00:53 lr_first 0.000000122 lr_last 0.000001000	time 3.5221 (3.5690)	tot_loss 0.2420 (0.3137)	mem 27559MB
[2022-11-08 06:11:37 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1600/1612]	eta 0:00:42 lr_first 0.000000122 lr_last 0.000001000	time 3.5141 (3.5691)	tot_loss 0.2439 (0.3136)	mem 27559MB
[2022-11-08 06:12:13 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1602/1612]	eta 0:00:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5196 (3.5691)	tot_loss 0.2609 (0.3138)	mem 27559MB
[2022-11-08 06:12:49 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1605/1612]	eta 0:00:24 lr_first 0.000000122 lr_last 0.000001000	time 3.5427 (3.5691)	tot_loss 0.6780 (0.3142)	mem 27559MB
[2022-11-08 06:13:24 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1607/1612]	eta 0:00:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5157 (3.5690)	tot_loss 0.7176 (0.3143)	mem 27559MB
[2022-11-08 06:14:00 eva-1b/14] (main_k722.py 359): INFO Train: [0/10][1610/1612]	eta 0:00:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5165 (3.5690)	tot_loss 0.2431 (0.3143)	mem 27559MB
[2022-11-08 06:14:29 eva-1b/14] (main_k722.py 378): INFO EPOCH 0 training takes 6:23:37
[2022-11-08 06:14:29 eva-1b/14] (main_k722.py 398): INFO 4 * 3 views inference
[2022-11-08 06:14:54 eva-1b/14] (main_k722.py 436): INFO Test: [0/233]	Acc@1: 100.000	Acc@5: 100.000	
[2022-11-08 06:17:49 eva-1b/14] (main_k722.py 436): INFO Test: [10/233]	Acc@1: 86.364	Acc@5: 100.000	
[2022-11-08 06:20:44 eva-1b/14] (main_k722.py 436): INFO Test: [20/233]	Acc@1: 85.714	Acc@5: 97.619	
[2022-11-08 06:23:38 eva-1b/14] (main_k722.py 436): INFO Test: [30/233]	Acc@1: 88.710	Acc@5: 96.774	
[2022-11-08 06:26:33 eva-1b/14] (main_k722.py 436): INFO Test: [40/233]	Acc@1: 89.024	Acc@5: 96.341	
[2022-11-08 06:29:28 eva-1b/14] (main_k722.py 436): INFO Test: [50/233]	Acc@1: 88.235	Acc@5: 97.059	
[2022-11-08 06:32:23 eva-1b/14] (main_k722.py 436): INFO Test: [60/233]	Acc@1: 87.705	Acc@5: 96.721	
[2022-11-08 06:35:17 eva-1b/14] (main_k722.py 436): INFO Test: [70/233]	Acc@1: 88.732	Acc@5: 97.183	
[2022-11-08 06:38:12 eva-1b/14] (main_k722.py 436): INFO Test: [80/233]	Acc@1: 88.889	Acc@5: 97.531	
[2022-11-08 06:41:07 eva-1b/14] (main_k722.py 436): INFO Test: [90/233]	Acc@1: 89.560	Acc@5: 97.802	
[2022-11-08 06:44:02 eva-1b/14] (main_k722.py 436): INFO Test: [100/233]	Acc@1: 89.604	Acc@5: 98.020	
[2022-11-08 06:46:56 eva-1b/14] (main_k722.py 436): INFO Test: [110/233]	Acc@1: 90.541	Acc@5: 98.198	
[2022-11-08 06:49:51 eva-1b/14] (main_k722.py 436): INFO Test: [120/233]	Acc@1: 91.322	Acc@5: 98.347	
[2022-11-08 06:52:46 eva-1b/14] (main_k722.py 436): INFO Test: [130/233]	Acc@1: 91.221	Acc@5: 98.473	
[2022-11-08 06:55:41 eva-1b/14] (main_k722.py 436): INFO Test: [140/233]	Acc@1: 91.135	Acc@5: 98.582	
[2022-11-08 06:58:35 eva-1b/14] (main_k722.py 436): INFO Test: [150/233]	Acc@1: 90.397	Acc@5: 98.675	
[2022-11-08 07:01:30 eva-1b/14] (main_k722.py 436): INFO Test: [160/233]	Acc@1: 90.373	Acc@5: 98.447	
[2022-11-08 07:04:25 eva-1b/14] (main_k722.py 436): INFO Test: [170/233]	Acc@1: 90.643	Acc@5: 98.538	
[2022-11-08 07:07:20 eva-1b/14] (main_k722.py 436): INFO Test: [180/233]	Acc@1: 90.608	Acc@5: 98.343	
[2022-11-08 07:10:14 eva-1b/14] (main_k722.py 436): INFO Test: [190/233]	Acc@1: 90.838	Acc@5: 98.429	
[2022-11-08 07:13:09 eva-1b/14] (main_k722.py 436): INFO Test: [200/233]	Acc@1: 91.045	Acc@5: 98.507	
[2022-11-08 07:16:04 eva-1b/14] (main_k722.py 436): INFO Test: [210/233]	Acc@1: 90.995	Acc@5: 98.578	
[2022-11-08 07:18:59 eva-1b/14] (main_k722.py 436): INFO Test: [220/233]	Acc@1: 90.498	Acc@5: 98.643	
[2022-11-08 07:21:53 eva-1b/14] (main_k722.py 436): INFO Test: [230/233]	Acc@1: 90.693	Acc@5: 98.701	
[2022-11-08 07:22:37 eva-1b/14] (main_k722.py 442): INFO  * Acc@1 89.755 Acc@5 98.375
[2022-11-08 07:22:37 eva-1b/14] (main_k722.py 219): INFO Accuracy of the network on (29779) test videos: 89.8% (acc@1) / 98.4% (acc@5)
[2022-11-08 07:22:37 eva-1b/14] (main_k722.py 243): INFO Max accuracy: 89.75%
[2022-11-08 07:22:37 eva-1b/14] (tools.py 57): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10/ckpt_epoch_0.pth saving......
[2022-11-08 07:22:59 eva-1b/14] (tools.py 59): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10/ckpt_epoch_0.pth saved !!!
[2022-11-08 07:23:19 eva-1b/14] (tools.py 63): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10/best.pth saved !!!
[2022-11-08 07:23:25 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][0/1612]	eta 2:37:30 lr_first 0.000000122 lr_last 0.000001000	time 5.8625 (5.8625)	tot_loss 0.2462 (0.2462)	mem 27559MB
[2022-11-08 07:24:01 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][2/1612]	eta 1:41:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5497 (3.7685)	tot_loss 0.2480 (0.2484)	mem 27559MB
[2022-11-08 07:24:36 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][5/1612]	eta 1:38:15 lr_first 0.000000122 lr_last 0.000001000	time 3.5472 (3.6684)	tot_loss 0.2450 (0.2464)	mem 27559MB
[2022-11-08 07:25:12 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][7/1612]	eta 1:37:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5346 (3.6320)	tot_loss 0.9424 (0.2724)	mem 27559MB
[2022-11-08 07:25:47 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][10/1612]	eta 1:36:24 lr_first 0.000000122 lr_last 0.000001000	time 3.5242 (3.6109)	tot_loss 0.2483 (0.2937)	mem 27559MB
[2022-11-08 07:26:24 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][12/1612]	eta 1:36:34 lr_first 0.000000122 lr_last 0.000001000	time 3.5203 (3.6217)	tot_loss 0.2546 (0.2930)	mem 27559MB
[2022-11-08 07:26:59 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][15/1612]	eta 1:36:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5213 (3.6113)	tot_loss 0.2430 (0.3373)	mem 27559MB
[2022-11-08 07:27:35 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][17/1612]	eta 1:35:45 lr_first 0.000000122 lr_last 0.000001000	time 3.5178 (3.6024)	tot_loss 0.2529 (0.3524)	mem 27559MB
[2022-11-08 07:28:10 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][20/1612]	eta 1:35:24 lr_first 0.000000122 lr_last 0.000001000	time 3.5167 (3.5960)	tot_loss 0.2465 (0.3428)	mem 27559MB
[2022-11-08 07:28:46 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][22/1612]	eta 1:35:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5169 (3.5907)	tot_loss 0.2448 (0.3325)	mem 27559MB
[2022-11-08 07:29:22 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][25/1612]	eta 1:35:00 lr_first 0.000000122 lr_last 0.000001000	time 3.6177 (3.5918)	tot_loss 0.2585 (0.3467)	mem 27559MB
[2022-11-08 07:29:57 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][27/1612]	eta 1:34:47 lr_first 0.000000122 lr_last 0.000001000	time 3.5455 (3.5880)	tot_loss 0.2460 (0.3441)	mem 27559MB
[2022-11-08 07:30:33 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][30/1612]	eta 1:34:33 lr_first 0.000000122 lr_last 0.000001000	time 3.6135 (3.5861)	tot_loss 0.2462 (0.3363)	mem 27559MB
[2022-11-08 07:31:09 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][32/1612]	eta 1:34:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5183 (3.5871)	tot_loss 0.2486 (0.3326)	mem 27559MB
[2022-11-08 07:31:45 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][35/1612]	eta 1:34:14 lr_first 0.000000122 lr_last 0.000001000	time 3.5139 (3.5853)	tot_loss 0.2507 (0.3294)	mem 27559MB
[2022-11-08 07:32:20 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][37/1612]	eta 1:34:05 lr_first 0.000000122 lr_last 0.000001000	time 3.5175 (3.5843)	tot_loss 0.4467 (0.3253)	mem 27559MB
[2022-11-08 07:32:56 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][40/1612]	eta 1:33:52 lr_first 0.000000122 lr_last 0.000001000	time 3.5167 (3.5829)	tot_loss 0.2449 (0.3243)	mem 27559MB
[2022-11-08 07:33:32 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][42/1612]	eta 1:33:42 lr_first 0.000000122 lr_last 0.000001000	time 3.5185 (3.5810)	tot_loss 0.2523 (0.3208)	mem 27559MB
[2022-11-08 07:34:07 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][45/1612]	eta 1:33:32 lr_first 0.000000122 lr_last 0.000001000	time 3.5206 (3.5816)	tot_loss 0.2430 (0.3215)	mem 27559MB
[2022-11-08 07:34:43 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][47/1612]	eta 1:33:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5176 (3.5798)	tot_loss 0.2452 (0.3177)	mem 27559MB
[2022-11-08 07:35:18 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][50/1612]	eta 1:33:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5163 (3.5784)	tot_loss 0.2619 (0.3142)	mem 27559MB
[2022-11-08 07:35:54 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][52/1612]	eta 1:32:59 lr_first 0.000000122 lr_last 0.000001000	time 3.5169 (3.5768)	tot_loss 0.2425 (0.3119)	mem 27559MB
[2022-11-08 07:36:30 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][55/1612]	eta 1:32:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5450 (3.5804)	tot_loss 0.2437 (0.3089)	mem 27559MB
[2022-11-08 07:37:06 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][57/1612]	eta 1:32:45 lr_first 0.000000122 lr_last 0.000001000	time 3.5202 (3.5792)	tot_loss 0.2434 (0.3074)	mem 27559MB
[2022-11-08 07:37:41 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][60/1612]	eta 1:32:33 lr_first 0.000000122 lr_last 0.000001000	time 3.5201 (3.5781)	tot_loss 0.2425 (0.3079)	mem 27559MB
[2022-11-08 07:38:17 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][62/1612]	eta 1:32:24 lr_first 0.000000122 lr_last 0.000001000	time 3.5197 (3.5768)	tot_loss 0.2466 (0.3055)	mem 27559MB
[2022-11-08 07:38:53 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][65/1612]	eta 1:32:15 lr_first 0.000000122 lr_last 0.000001000	time 3.6003 (3.5783)	tot_loss 0.2430 (0.3041)	mem 27559MB
[2022-11-08 07:39:29 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][67/1612]	eta 1:32:06 lr_first 0.000000122 lr_last 0.000001000	time 3.5228 (3.5771)	tot_loss 0.2434 (0.3023)	mem 27559MB
[2022-11-08 07:40:05 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][70/1612]	eta 1:31:58 lr_first 0.000000122 lr_last 0.000001000	time 3.6074 (3.5787)	tot_loss 0.4722 (0.3031)	mem 27559MB
[2022-11-08 07:40:40 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][72/1612]	eta 1:31:49 lr_first 0.000000122 lr_last 0.000001000	time 3.5423 (3.5777)	tot_loss 0.2446 (0.3030)	mem 27559MB
[2022-11-08 07:41:16 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][75/1612]	eta 1:31:37 lr_first 0.000000122 lr_last 0.000001000	time 3.5484 (3.5770)	tot_loss 0.2788 (0.3051)	mem 27559MB
[2022-11-08 07:41:51 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][77/1612]	eta 1:31:29 lr_first 0.000000122 lr_last 0.000001000	time 3.5447 (3.5761)	tot_loss 0.2460 (0.3072)	mem 27559MB
[2022-11-08 07:42:27 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][80/1612]	eta 1:31:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5317 (3.5754)	tot_loss 0.2441 (0.3059)	mem 27559MB
[2022-11-08 07:43:03 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][82/1612]	eta 1:31:10 lr_first 0.000000122 lr_last 0.000001000	time 3.5219 (3.5753)	tot_loss 0.2536 (0.3083)	mem 27559MB
[2022-11-08 07:43:39 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][85/1612]	eta 1:31:00 lr_first 0.000000122 lr_last 0.000001000	time 3.5145 (3.5760)	tot_loss 0.2430 (0.3068)	mem 27559MB
[2022-11-08 07:44:14 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][87/1612]	eta 1:30:52 lr_first 0.000000122 lr_last 0.000001000	time 3.5183 (3.5754)	tot_loss 0.2457 (0.3076)	mem 27559MB
[2022-11-08 07:44:50 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][90/1612]	eta 1:30:43 lr_first 0.000000122 lr_last 0.000001000	time 3.5310 (3.5762)	tot_loss 0.2861 (0.3112)	mem 27559MB
[2022-11-08 07:45:26 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][92/1612]	eta 1:30:34 lr_first 0.000000122 lr_last 0.000001000	time 3.5193 (3.5755)	tot_loss 0.2524 (0.3104)	mem 27559MB
[2022-11-08 07:46:01 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][95/1612]	eta 1:30:23 lr_first 0.000000122 lr_last 0.000001000	time 3.5423 (3.5749)	tot_loss 0.2424 (0.3090)	mem 27559MB
[2022-11-08 07:46:37 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][97/1612]	eta 1:30:14 lr_first 0.000000122 lr_last 0.000001000	time 3.5193 (3.5742)	tot_loss 0.2537 (0.3077)	mem 27559MB
[2022-11-08 07:47:12 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][100/1612]	eta 1:30:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5209 (3.5737)	tot_loss 0.2484 (0.3064)	mem 27559MB
[2022-11-08 07:47:48 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][102/1612]	eta 1:29:55 lr_first 0.000000122 lr_last 0.000001000	time 3.5175 (3.5731)	tot_loss 1.2450 (0.3077)	mem 27559MB
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[2022-11-08 13:23:48 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1515/1612]	eta 0:05:46 lr_first 0.000000122 lr_last 0.000001000	time 3.5251 (3.5685)	tot_loss 0.2444 (0.3069)	mem 27559MB
[2022-11-08 13:24:24 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1517/1612]	eta 0:05:39 lr_first 0.000000122 lr_last 0.000001000	time 3.5216 (3.5685)	tot_loss 0.2444 (0.3068)	mem 27559MB
[2022-11-08 13:24:59 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1520/1612]	eta 0:05:28 lr_first 0.000000122 lr_last 0.000001000	time 3.5229 (3.5685)	tot_loss 0.2438 (0.3069)	mem 27559MB
[2022-11-08 13:25:35 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1522/1612]	eta 0:05:21 lr_first 0.000000122 lr_last 0.000001000	time 3.5272 (3.5685)	tot_loss 0.2501 (0.3069)	mem 27559MB
[2022-11-08 13:26:10 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1525/1612]	eta 0:05:10 lr_first 0.000000122 lr_last 0.000001000	time 3.5190 (3.5685)	tot_loss 0.2580 (0.3068)	mem 27559MB
[2022-11-08 13:26:46 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1527/1612]	eta 0:05:03 lr_first 0.000000122 lr_last 0.000001000	time 3.5476 (3.5685)	tot_loss 0.2467 (0.3067)	mem 27559MB
[2022-11-08 13:27:22 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1530/1612]	eta 0:04:52 lr_first 0.000000122 lr_last 0.000001000	time 3.5440 (3.5685)	tot_loss 0.2438 (0.3066)	mem 27559MB
[2022-11-08 13:27:58 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1532/1612]	eta 0:04:45 lr_first 0.000000122 lr_last 0.000001000	time 3.5481 (3.5685)	tot_loss 0.2433 (0.3067)	mem 27559MB
[2022-11-08 13:28:33 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1535/1612]	eta 0:04:34 lr_first 0.000000122 lr_last 0.000001000	time 3.5757 (3.5685)	tot_loss 0.2864 (0.3067)	mem 27559MB
[2022-11-08 13:29:09 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1537/1612]	eta 0:04:27 lr_first 0.000000122 lr_last 0.000001000	time 3.5502 (3.5684)	tot_loss 0.2429 (0.3068)	mem 27559MB
[2022-11-08 13:29:45 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1540/1612]	eta 0:04:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5148 (3.5685)	tot_loss 0.2420 (0.3070)	mem 27559MB
[2022-11-08 13:30:20 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1542/1612]	eta 0:04:09 lr_first 0.000000122 lr_last 0.000001000	time 3.5191 (3.5685)	tot_loss 1.1027 (0.3072)	mem 27559MB
[2022-11-08 13:30:56 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1545/1612]	eta 0:03:59 lr_first 0.000000122 lr_last 0.000001000	time 3.5192 (3.5685)	tot_loss 0.2594 (0.3072)	mem 27559MB
[2022-11-08 13:31:31 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1547/1612]	eta 0:03:51 lr_first 0.000000122 lr_last 0.000001000	time 3.5176 (3.5684)	tot_loss 0.2553 (0.3072)	mem 27559MB
[2022-11-08 13:32:07 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1550/1612]	eta 0:03:41 lr_first 0.000000122 lr_last 0.000001000	time 3.9381 (3.5685)	tot_loss 0.2460 (0.3071)	mem 27559MB
[2022-11-08 13:32:43 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1552/1612]	eta 0:03:34 lr_first 0.000000122 lr_last 0.000001000	time 3.5843 (3.5685)	tot_loss 0.2433 (0.3072)	mem 27559MB
[2022-11-08 13:33:19 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1555/1612]	eta 0:03:23 lr_first 0.000000122 lr_last 0.000001000	time 3.5440 (3.5685)	tot_loss 0.2548 (0.3073)	mem 27559MB
[2022-11-08 13:33:54 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1557/1612]	eta 0:03:16 lr_first 0.000000122 lr_last 0.000001000	time 3.5443 (3.5685)	tot_loss 0.2458 (0.3075)	mem 27559MB
[2022-11-08 13:34:30 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1560/1612]	eta 0:03:05 lr_first 0.000000122 lr_last 0.000001000	time 3.5546 (3.5685)	tot_loss 0.3042 (0.3074)	mem 27559MB
[2022-11-08 13:35:05 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1562/1612]	eta 0:02:58 lr_first 0.000000122 lr_last 0.000001000	time 3.5445 (3.5684)	tot_loss 0.2447 (0.3074)	mem 27559MB
[2022-11-08 13:35:41 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1565/1612]	eta 0:02:47 lr_first 0.000000122 lr_last 0.000001000	time 3.5436 (3.5684)	tot_loss 0.2448 (0.3073)	mem 27559MB
[2022-11-08 13:36:16 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1567/1612]	eta 0:02:40 lr_first 0.000000122 lr_last 0.000001000	time 3.5453 (3.5684)	tot_loss 0.2449 (0.3073)	mem 27559MB
[2022-11-08 13:36:52 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1570/1612]	eta 0:02:29 lr_first 0.000000122 lr_last 0.000001000	time 3.5207 (3.5684)	tot_loss 0.2959 (0.3072)	mem 27559MB
[2022-11-08 13:37:28 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1572/1612]	eta 0:02:22 lr_first 0.000000122 lr_last 0.000001000	time 3.5151 (3.5684)	tot_loss 0.2449 (0.3072)	mem 27559MB
[2022-11-08 13:38:04 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1575/1612]	eta 0:02:12 lr_first 0.000000122 lr_last 0.000001000	time 3.5171 (3.5684)	tot_loss 0.2433 (0.3073)	mem 27559MB
[2022-11-08 13:38:40 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1577/1612]	eta 0:02:04 lr_first 0.000000122 lr_last 0.000001000	time 3.6487 (3.5685)	tot_loss 0.2639 (0.3073)	mem 27559MB
[2022-11-08 13:39:16 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1580/1612]	eta 0:01:54 lr_first 0.000000122 lr_last 0.000001000	time 3.5161 (3.5686)	tot_loss 0.2437 (0.3072)	mem 27559MB
[2022-11-08 13:39:52 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1582/1612]	eta 0:01:47 lr_first 0.000000122 lr_last 0.000001000	time 3.8451 (3.5686)	tot_loss 0.6275 (0.3072)	mem 27559MB
[2022-11-08 13:40:29 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1585/1612]	eta 0:01:36 lr_first 0.000000122 lr_last 0.000001000	time 3.8763 (3.5687)	tot_loss 0.2496 (0.3071)	mem 27559MB
[2022-11-08 13:41:04 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1587/1612]	eta 0:01:29 lr_first 0.000000122 lr_last 0.000001000	time 3.5457 (3.5687)	tot_loss 0.2427 (0.3070)	mem 27559MB
[2022-11-08 13:41:40 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1590/1612]	eta 0:01:18 lr_first 0.000000122 lr_last 0.000001000	time 3.5588 (3.5687)	tot_loss 0.2443 (0.3069)	mem 27559MB
[2022-11-08 13:42:16 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1592/1612]	eta 0:01:11 lr_first 0.000000122 lr_last 0.000001000	time 3.5161 (3.5687)	tot_loss 0.2441 (0.3068)	mem 27559MB
[2022-11-08 13:42:51 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1595/1612]	eta 0:01:00 lr_first 0.000000122 lr_last 0.000001000	time 3.5107 (3.5687)	tot_loss 0.2443 (0.3069)	mem 27559MB
[2022-11-08 13:43:27 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1597/1612]	eta 0:00:53 lr_first 0.000000122 lr_last 0.000001000	time 3.5253 (3.5687)	tot_loss 0.2588 (0.3069)	mem 27559MB
[2022-11-08 13:44:02 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1600/1612]	eta 0:00:42 lr_first 0.000000122 lr_last 0.000001000	time 3.5227 (3.5687)	tot_loss 0.2675 (0.3068)	mem 27559MB
[2022-11-08 13:44:38 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1602/1612]	eta 0:00:35 lr_first 0.000000122 lr_last 0.000001000	time 3.5196 (3.5687)	tot_loss 0.2425 (0.3072)	mem 27559MB
[2022-11-08 13:45:14 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1605/1612]	eta 0:00:24 lr_first 0.000000122 lr_last 0.000001000	time 3.6517 (3.5687)	tot_loss 0.2509 (0.3071)	mem 27559MB
[2022-11-08 13:45:49 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1607/1612]	eta 0:00:17 lr_first 0.000000122 lr_last 0.000001000	time 3.5546 (3.5687)	tot_loss 0.2471 (0.3072)	mem 27559MB
[2022-11-08 13:46:25 eva-1b/14] (main_k722.py 359): INFO Train: [1/10][1610/1612]	eta 0:00:07 lr_first 0.000000122 lr_last 0.000001000	time 3.5530 (3.5687)	tot_loss 0.2478 (0.3071)	mem 27559MB
[2022-11-08 13:46:55 eva-1b/14] (main_k722.py 378): INFO EPOCH 1 training takes 6:23:35
[2022-11-08 13:46:55 eva-1b/14] (main_k722.py 398): INFO 4 * 3 views inference
[2022-11-08 13:47:17 eva-1b/14] (main_k722.py 436): INFO Test: [0/233]	Acc@1: 100.000	Acc@5: 100.000	
[2022-11-08 13:50:12 eva-1b/14] (main_k722.py 436): INFO Test: [10/233]	Acc@1: 86.364	Acc@5: 100.000	
[2022-11-08 13:53:07 eva-1b/14] (main_k722.py 436): INFO Test: [20/233]	Acc@1: 88.095	Acc@5: 100.000	
[2022-11-08 13:56:02 eva-1b/14] (main_k722.py 436): INFO Test: [30/233]	Acc@1: 87.097	Acc@5: 98.387	
[2022-11-08 13:58:57 eva-1b/14] (main_k722.py 436): INFO Test: [40/233]	Acc@1: 89.024	Acc@5: 98.780	
[2022-11-08 14:01:51 eva-1b/14] (main_k722.py 436): INFO Test: [50/233]	Acc@1: 89.216	Acc@5: 98.039	
[2022-11-08 14:04:46 eva-1b/14] (main_k722.py 436): INFO Test: [60/233]	Acc@1: 90.164	Acc@5: 97.541	
[2022-11-08 14:07:41 eva-1b/14] (main_k722.py 436): INFO Test: [70/233]	Acc@1: 91.549	Acc@5: 97.887	
[2022-11-08 14:10:36 eva-1b/14] (main_k722.py 436): INFO Test: [80/233]	Acc@1: 90.741	Acc@5: 98.148	
[2022-11-08 14:13:31 eva-1b/14] (main_k722.py 436): INFO Test: [90/233]	Acc@1: 90.659	Acc@5: 97.802	
[2022-11-08 14:16:26 eva-1b/14] (main_k722.py 436): INFO Test: [100/233]	Acc@1: 89.109	Acc@5: 98.020	
[2022-11-08 14:19:20 eva-1b/14] (main_k722.py 436): INFO Test: [110/233]	Acc@1: 90.090	Acc@5: 98.198	
[2022-11-08 14:22:15 eva-1b/14] (main_k722.py 436): INFO Test: [120/233]	Acc@1: 90.083	Acc@5: 98.347	
[2022-11-08 14:25:10 eva-1b/14] (main_k722.py 436): INFO Test: [130/233]	Acc@1: 90.076	Acc@5: 98.473	
[2022-11-08 14:28:05 eva-1b/14] (main_k722.py 436): INFO Test: [140/233]	Acc@1: 89.716	Acc@5: 98.582	
[2022-11-08 14:31:00 eva-1b/14] (main_k722.py 436): INFO Test: [150/233]	Acc@1: 90.397	Acc@5: 98.675	
[2022-11-08 14:33:55 eva-1b/14] (main_k722.py 436): INFO Test: [160/233]	Acc@1: 90.994	Acc@5: 98.758	
[2022-11-08 14:36:50 eva-1b/14] (main_k722.py 436): INFO Test: [170/233]	Acc@1: 91.228	Acc@5: 98.830	
[2022-11-08 14:39:44 eva-1b/14] (main_k722.py 436): INFO Test: [180/233]	Acc@1: 90.884	Acc@5: 98.895	
[2022-11-08 14:42:39 eva-1b/14] (main_k722.py 436): INFO Test: [190/233]	Acc@1: 90.314	Acc@5: 98.953	
[2022-11-08 14:45:34 eva-1b/14] (main_k722.py 436): INFO Test: [200/233]	Acc@1: 90.299	Acc@5: 99.005	
[2022-11-08 14:48:29 eva-1b/14] (main_k722.py 436): INFO Test: [210/233]	Acc@1: 90.521	Acc@5: 99.052	
[2022-11-08 14:51:24 eva-1b/14] (main_k722.py 436): INFO Test: [220/233]	Acc@1: 90.498	Acc@5: 99.095	
[2022-11-08 14:54:19 eva-1b/14] (main_k722.py 436): INFO Test: [230/233]	Acc@1: 90.260	Acc@5: 98.918	
[2022-11-08 14:55:02 eva-1b/14] (main_k722.py 442): INFO  * Acc@1 89.808 Acc@5 98.398
[2022-11-08 14:55:02 eva-1b/14] (main_k722.py 219): INFO Accuracy of the network on (29779) test videos: 89.8% (acc@1) / 98.4% (acc@5)
[2022-11-08 14:55:02 eva-1b/14] (main_k722.py 243): INFO Max accuracy: 89.81%
[2022-11-08 14:55:02 eva-1b/14] (tools.py 57): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10/ckpt_epoch_1.pth saving......
[2022-11-08 14:55:25 eva-1b/14] (tools.py 59): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10/ckpt_epoch_1.pth saved !!!
[2022-11-08 14:55:46 eva-1b/14] (tools.py 63): INFO /home/binhuixie/outputs/cvpr/K722_1b_ft/k600/k722init_allft-1107-10/best.pth saved !!!