Number of model parameters: 461559
=> loading checkpoint 'output/All/16166_model=MobilenetV3-ep=3000-block=6/model_best.pth.tar'
=> loaded checkpoint 'output/All/16166_model=MobilenetV3-ep=3000-block=6/model_best.pth.tar' (epoch 2382)
Test: [0/2]	Time 118.781 (118.781)	Loss 0.3068 (0.3068)	Prec@1 95.703 (95.703)
Test: [1/2]	Time 3.661 (61.221)	Loss 0.4321 (0.3358)	Prec@1 94.805 (95.495)
 * Prec@1 95.495
 * Prec@1 95.495
Best accuracy: 95.49549572460644
[validate_2020-03-31-19-08-47] done
[validate_2020-03-31-19-08-47] done
train start
2020-03-31-19-11-26
use seed 963
use dataset : ../data/Fourth_data/All
{'task': 'All/train_2020-03-31-19-11-26_model=MobilenetV3-ep=3000-block=6', 'modelname': 'MobilenetV3', 'output': 'output', 'checkpoint': 'output/All/16166_model=MobilenetV3-ep=3000-block=6/model_best.pth.tar', 'gpu': [2], 'data': {'train': '../data/Fourth_data/All', 'val': '../data/Fourth_data/All', 'test': '../data/Fourth_data/All'}, 'train': {'epochs': 3000, 'start-epoch': 0, 'batch-size': 256, 'worker': 16, 'weight': [2.0, 4.0, 1.0, 1.0, 3.0, 1.0, 1.0], 'resume': '', 'augment': True, 'size': 224, 'confidence': False}, 'predict': {'batch-size': 256, 'worker': 64, 'cam': False, 'normalize': True, 'save': False}, 'optimizer': {'lr': 0.1, 'momentum': 0.9, 'weight_decay': 0.0001}, 'loss': {'gamma': 2.0, 'alpha': 0.8}, 'model': {'blocks': 6, 'class': 7}, 'etc': {'tensorboard': False, 'print_freq': 10}, 'id': 'train_2020-03-31-19-11-26'}