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: 0
	output_dir: domainbed/misc/test_sweep_data/c62625063d3aee2f08e5c908e7677e83
	save_model_every_checkpoint: False
	seed: 99481980
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0, 3]
	trial_seed: 1
	uda_holdout_fraction: 0
HParams:
	batch_size: 32
	class_balanced: False
	data_augmentation: True
	lr: 5e-05
	nonlinear_classifier: False
	resnet18: False
	resnet_dropout: 0.0
	weight_decay: 0.0
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    
0.5821554770  0.5971731449  0.4663529412  0.4613935970  0.3716679360  0.4146341463  0.4424287301  0.4014814815  0.0000000000  1.7584050894  0             1.1681911945 
0.7579505300  0.7738515901  0.7632941176  0.7024482109  0.8632901752  0.7942073171  0.7023324695  0.7155555556  8.4805653710  0.5978830648  300           0.4919224509 
0.7279151943  0.6749116608  0.8592941176  0.7306967985  0.9116527037  0.8109756098  0.7045538689  0.6711111111  16.961130742  0.3988586284  600           0.4802287292 
0.3683745583  0.3568904594  0.9143529412  0.7325800377  0.9592536177  0.8079268293  0.7067752684  0.7125925926  25.441696113  0.2422290696  900           0.4851771371 
0.7393992933  0.7279151943  0.9298823529  0.7683615819  0.9306930693  0.7957317073  0.7467604591  0.7525925926  28.268551236  0.1837190475  1000          0.5015410733 
