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/f61766414e6b0db40063d7bc4ecdaa2b
	save_model_every_checkpoint: False
	seed: 512619814
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0, 2]
	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    
0.0662544170  0.0459363958  0.2922352941  0.2617702448  0.2859862909  0.2530487805  0.1899296557  0.1940740741  0.0000000000  1.7476719618  0             1.3853642941 
0.9779151943  0.9681978799  0.7562352941  0.7438794727  0.6637471439  0.7012195122  0.8293224732  0.7807407407  2.1201413428  0.7123324679  300           0.1359348575 
0.9885159011  0.9752650177  0.7821176471  0.7777777778  0.7124904798  0.7088414634  0.8704183636  0.8148148148  4.2402826855  0.5137957147  600           0.1346128742 
0.9637809187  0.9646643110  0.7891764706  0.7382297552  0.6774562072  0.6981707317  0.8685671973  0.8118518519  6.3604240283  0.4774057284  900           0.1330896823 
0.9646643110  0.9505300353  0.7680000000  0.7363465160  0.7696115765  0.7987804878  0.8870788597  0.8370370370  7.0671378092  0.4129467555  1000          0.1624276757 
