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/1b424e4ac8bc11c9d3f36b1729e19547
	save_model_every_checkpoint: False
	seed: 808031485
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [2, 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  0.6148409894  0.4550588235  0.4595103578  0.3450114242  0.3932926829  0.4420584969  0.3985185185  0.0000000000  1.4451200962  0             1.4165942669 
0.9867491166  0.9787985866  0.7491764706  0.7325800377  0.5639756283  0.6006097561  0.7001110700  0.6518518519  2.1201413428  0.4410370264  300           0.1582184227 
0.9991166078  0.9929328622  0.7783529412  0.7288135593  0.5662604722  0.5807926829  0.6878933728  0.6681481481  4.2402826855  0.3040031821  600           0.1537931506 
1.0000000000  1.0000000000  0.8084705882  0.7288135593  0.5982482864  0.6112804878  0.7230655313  0.6888888889  6.3604240283  0.2854706001  900           0.1461815945 
0.9991166078  1.0000000000  0.8141176471  0.7532956685  0.6587966489  0.6493902439  0.7152906331  0.6992592593  7.0671378092  0.2706131497  1000          0.1883794379 
