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/1b0678ef843d122c17404ab8bd138523
	save_model_every_checkpoint: False
	seed: 703675087
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0, 3]
	trial_seed: 1
	uda_holdout_fraction: 0
HParams:
	batch_size: 8
	class_balanced: False
	data_augmentation: True
	lr: 2.2352558725944602e-05
	nonlinear_classifier: False
	resnet18: False
	resnet_dropout: 0.5
	weight_decay: 1.9967320578799288e-06
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    
0.6033568905  0.6007067138  0.3477647059  0.3521657250  0.3335872049  0.3780487805  0.3791188449  0.3318518519  0.0000000000  1.6503455639  0             1.3420743942 
0.8966431095  0.8692579505  0.7712941176  0.7514124294  0.8042650419  0.7865853659  0.7049241022  0.6829629630  2.1201413428  0.7344291466  300           0.1374709209 
0.8984098940  0.8763250883  0.7802352941  0.7438794727  0.8297791318  0.8201219512  0.7334320622  0.7155555556  4.2402826855  0.5958860209  600           0.1401097918 
0.4355123675  0.4628975265  0.7924705882  0.7401129944  0.8191165270  0.7713414634  0.6467974824  0.6311111111  6.3604240283  0.5318177843  900           0.1377514847 
0.9107773852  0.8727915194  0.8061176471  0.7740112994  0.8206397563  0.8003048780  0.7600888560  0.7200000000  7.0671378092  0.4978464527  1000          0.1623143768 
