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/86394db2b6c2ecd1e3b08e99e14759f2
	save_model_every_checkpoint: False
	seed: 664692933
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [1, 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    
0.2181978799  0.2190812721  0.0418823529  0.0640301318  0.3297791318  0.2942073171  0.1355053684  0.1688888889  0.0000000000  1.5366128683  0             1.3182864189 
0.9973498233  1.0000000000  0.7072941176  0.6911487759  0.8137852247  0.7804878049  0.7649018882  0.7540740741  2.1201413428  0.4162907769  300           0.0860185695 
0.9991166078  0.9964664311  0.6687058824  0.6421845574  0.8198781417  0.8094512195  0.8019252129  0.7629629630  4.2402826855  0.2737542759  600           0.0876681225 
1.0000000000  1.0000000000  0.6508235294  0.6308851224  0.8735719726  0.8246951220  0.7526841910  0.7422222222  6.3604240283  0.2153730621  900           0.0867732620 
0.9938162544  1.0000000000  0.6221176471  0.6233521657  0.8069306931  0.7332317073  0.6319881525  0.6518518519  7.0671378092  0.2005969730  1000          0.1003058171 
