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: 0
	output_dir: domainbed/misc/test_sweep_data/7a6119601f2d7f4ce36e0d5d478332dd
	save_model_every_checkpoint: False
	seed: 745093665
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0]
	trial_seed: 1
	uda_holdout_fraction: 0
HParams:
	batch_size: 32
	class_balanced: False
	data_augmentation: True
	lr: 5e-05
	nonlinear_classifier: False
	resnet18: False
	resnet_dropout: 0.0
	weight_decay: 0.0
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    
0.6272084806  0.6395759717  0.4964705882  0.4632768362  0.4329779132  0.4710365854  0.4742687893  0.4237037037  0.0000000000  1.6059685946  0             1.8818829060 
0.9911660777  0.9787985866  0.7374117647  0.7099811676  0.8476770754  0.8094512195  0.9059607553  0.8296296296  8.4805653710  0.5164279704  300           0.6003480299 
0.9628975265  0.9611307420  0.8588235294  0.7589453861  0.8933739528  0.8201219512  0.9278045168  0.8207407407  16.961130742  0.3321266067  600           0.6016749573 
0.9761484099  0.9752650177  0.9091764706  0.7419962335  0.9424980960  0.7865853659  0.9685301740  0.8222222222  25.441696113  0.2240007397  900           0.5920131238 
0.9779151943  0.9681978799  0.9322352941  0.7532956685  0.9531607007  0.7942073171  0.9592743428  0.8325925926  28.268551236  0.1744494830  1000          0.5965073538 
