Environment:
	Python: 3.7.6
	PyTorch: 1.7.0
	Torchvision: 0.8.1
	CUDA: 9.2
	CUDNN: 7603
	NumPy: 1.19.4
	PIL: 8.1.0
Args:
	algorithm: ERM
	checkpoint_freq: None
	data_dir: /checkpoint/dlp/datasets_new
	dataset: VLCS
	holdout_fraction: 0.2
	hparams: None
	hparams_seed: 1
	output_dir: domainbed/misc/test_sweep_data/4ccfd57ae38cfc8fd5fba4293614ab26
	save_model_every_checkpoint: False
	seed: 225583337
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0, 3]
	trial_seed: 0
	uda_holdout_fraction: 0
HParams:
	batch_size: 39
	class_balanced: False
	data_augmentation: True
	lr: 2.7028930742148706e-05
	nonlinear_classifier: False
	resnet18: False
	resnet_dropout: 0.5
	weight_decay: 0.00044832883881609976
env0_in_acc   env0_out_acc  env1_in_acc   env1_out_acc  env2_in_acc   env2_out_acc  env3_in_acc   env3_out_acc  epoch         loss          step          step_time    
0.5803886926  0.6007067138  0.5736470588  0.5762711864  0.4249809596  0.4161585366  0.4150314698  0.4074074074  0.0000000000  1.6056649685  0             1.2535927296 
0.6439929329  0.6678445230  0.7957647059  0.7363465160  0.8846153846  0.8125000000  0.7512032581  0.7274074074  10.335689045  0.5884232441  300           0.6497526010 
0.6925795053  0.7632508834  0.8818823529  0.7890772128  0.9280274181  0.7637195122  0.7312106627  0.7170370370  20.671378091  0.3515189211  600           0.6339190245 
0.5468197880  0.5795053004  0.9312941176  0.7514124294  0.9634424981  0.7835365854  0.7234357645  0.7318518519  31.007067137  0.2306714023  900           0.6368054978 
0.4717314488  0.4664310954  0.9487058824  0.7645951036  0.9619192688  0.7942073171  0.7171417993  0.7229629630  34.452296819  0.1516468529  1000          0.6133238769 
