train_2020-04-03-17-09-59_MobilenetV3_block_4.log 1.09 KB
2020-04-03-17-09-59
use seed 420
use dataset : E:/code/detection/data/Fifth_data/Error
{'task': 'Error/train_2020-04-03-17-09-59_model=MobilenetV3-ep=3000-block=4-class=2', 'modelname': 'MobilenetV3', 'output': 'output', 'checkpoint': 'output/Error/2456_model=MobilenetV3-ep=3000-block=4/model_best.pth.tar', 'gpu': [1], 'data': {'train': 'E:/code/detection/data/Fifth_data/Error', 'val': '../data/Fifth_data/Error', 'test': '../data/Fifth_data/Error'}, 'train': {'epochs': 3000, 'start-epoch': 0, 'batch-size': 256, 'worker': 16, 'resume': '', 'augment': True, 'size': 64, 'confidence': False, 'weight': [1.0, 1.0]}, 'predict': {'batch-size': 256, 'worker': 16, 'cam': False, 'cam-class': 'Error', 'normalize': True, 'save': False}, 'optimizer': {'type': 'SGD', 'lr': 0.001, 'momentum': 0.9, 'weight_decay': 0.0001}, 'loss': {'gamma': 2.0, 'alpha': 0.8}, 'model': {'blocks': 4, 'class': 2}, 'etc': {'tensorboard': False, 'print_freq': 10}, 'id': 'train_2020-04-03-17-09-59'}
Number of model parameters: 154706
Epoch: [0][0/26]	Time 32.853 (32.853)	Loss 0.6907 (0.6907)	Prec@1 56.641 (56.641)	Precision 0.000 (0.000)