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/90961e3a45300a2d4771fc090627166e
	save_model_every_checkpoint: False
	seed: 733096875
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [1]
	trial_seed: 0
	uda_holdout_fraction: 0
HParams:
	batch_size: 39
	class_balanced: False
	data_augmentation: True
	lr: 2.7028930742148706e-05
	nonlinear_classifier: False
	resnet18: False
	resnet_dropout: 0.5
	weight_decay: 0.00044832883881609976
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    
0.6298586572  0.6431095406  0.4014117647  0.4369114878  0.4059405941  0.3932926829  0.4487226953  0.4429629630  0.0000000000  1.6435878277  0             1.4049792290 
0.9991166078  1.0000000000  0.6625882353  0.6591337100  0.8899466870  0.7987804878  0.9244724176  0.8651851852  10.335689045  0.3126775041  300           0.4027417898 
0.9973498233  0.9893992933  0.5948235294  0.5969868173  0.9173648134  0.7667682927  0.9581636431  0.8592592593  20.671378091  0.1523421495  600           0.4037892016 
1.0000000000  0.9964664311  0.6536470588  0.6497175141  0.9657273420  0.7987804878  0.9759348389  0.8829629630  31.007067137  0.1036048375  900           0.4036473759 
1.0000000000  0.9964664311  0.6578823529  0.6553672316  0.9706778370  0.7865853659  0.9748241392  0.8814814815  34.452296819  0.0652515952  1000          0.4080266762 
