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/9f1d308cb3d13c7358eefd027ba1de04
	save_model_every_checkpoint: False
	seed: 1443892482
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [1]
	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    
0.6095406360  0.6219081272  0.4070588235  0.3992467043  0.3549124143  0.3414634146  0.3661606812  0.3792592593  0.0000000000  1.6126624346  0             1.0119540691 
0.9982332155  0.9964664311  0.6141176471  0.5988700565  0.8309215537  0.7987804878  0.8507960015  0.7985185185  2.1201413428  0.4554009163  300           0.1058194629 
0.9991166078  0.9929328622  0.6310588235  0.6082862524  0.8518659558  0.8323170732  0.8933728249  0.8400000000  4.2402826855  0.2957518518  600           0.1057730643 
1.0000000000  0.9929328622  0.5642352941  0.5630885122  0.8526275704  0.8094512195  0.8952239911  0.8444444444  6.3604240283  0.2582681263  900           0.1059892249 
1.0000000000  0.9964664311  0.6197647059  0.6026365348  0.8659558264  0.8185975610  0.8918918919  0.8133333333  7.0671378092  0.2397152161  1000          0.1159045529 
