DAGsHubLogger: true
Learner: <fastai.learner.Learner object at 0x7fcf56717fd0>
ParamScheduler: true
ProgressCallback: true
Recorder: {add_time: true, train_metrics: false, valid_metrics: true}
TrainEvalCallback: true
batch per epoch: 159
batch size: 4
dataset.tfms: '[Pipeline: PILBase.create, Pipeline: get_y_fn -> PILBase.create]'
device: cuda
dls.after_batch: "Pipeline: IntToFloatTensor -- {'div': 255.0, 'div_mask': 1} -> Normalize\
  \ -- {'mean': tensor([[[[0.4850]],\n\n         [[0.4560]],\n\n         [[0.4060]]]],\
  \ device='cuda:0'), 'std': tensor([[[[0.2290]],\n\n         [[0.2240]],\n\n    \
  \     [[0.2250]]]], device='cuda:0'), 'axes': (0, 2, 3)}"
dls.after_item: 'Pipeline: ToTensor'
dls.before_batch: 'Pipeline: '
frozen: false
frozen idx: 0
input 1 dim 1: 4
input 1 dim 2: 3
input 1 dim 3: 480
input 1 dim 4: 640
model parameters: 41221268
n_inp: 1
success: true