2020-04-03-17-08-43
use seed 420
use dataset : E:/code/detection/data/Fifth_data/All
{'task': 'Error/train_2020-04-03-17-08-43_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/All', '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_2020-04-03-17-08-43'}
Number of model parameters: 154706
Fatal error in main loop
Traceback (most recent call last):
  File "E:\code\detection\trainer\train.py", line 102, in main
    run_model(args, q)
  File "E:\code\detection\trainer\train.py", line 276, in run_model
    train(train_loader, model, criterion, optimizer, scheduler, epoch, args, q)
  File "E:\code\detection\trainer\train.py", line 327, in train
    loss = criterion(output, target)
  File "C:\Users\younho\AppData\Local\Programs\Python\Python36\lib\site-packages\torch\nn\modules\module.py", line 532, in __call__
    result = self.forward(*input, **kwargs)
  File "C:\Users\younho\AppData\Local\Programs\Python\Python36\lib\site-packages\torch\nn\modules\loss.py", line 916, in forward
    ignore_index=self.ignore_index, reduction=self.reduction)
  File "C:\Users\younho\AppData\Local\Programs\Python\Python36\lib\site-packages\torch\nn\functional.py", line 2021, in cross_entropy
    return nll_loss(log_softmax(input, 1), target, weight, None, ignore_index, None, reduction)
  File "C:\Users\younho\AppData\Local\Programs\Python\Python36\lib\site-packages\torch\nn\functional.py", line 1838, in nll_loss
    ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index)
IndexError: Target 5 is out of bounds.
[train_2020-04-03-17-08-43] failed
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)