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/728347e87d1c533379956bf94dca6fef
	save_model_every_checkpoint: False
	seed: 876870413
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [1, 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    
0.6492932862  0.6537102473  0.4743529412  0.4538606403  0.3651942117  0.3978658537  0.3843021103  0.3644444444  0.0000000000  1.6890671253  0             1.6487302780 
1.0000000000  0.9929328622  0.6014117647  0.6139359699  0.7372429551  0.7240853659  0.8607922991  0.8370370370  2.1201413428  0.3830932904  300           0.0842626444 
0.9964664311  0.9929328622  0.5538823529  0.5461393597  0.7448591013  0.7484756098  0.8955942244  0.8311111111  4.2402826855  0.2157828625  600           0.0850240620 
0.9982332155  0.9964664311  0.5929411765  0.5819209040  0.7760853008  0.7743902439  0.9107737875  0.8488888889  6.3604240283  0.1769324361  900           0.0844715873 
0.9973498233  0.9929328622  0.5929411765  0.5856873823  0.7757044935  0.7972560976  0.9089226213  0.8400000000  7.0671378092  0.1479099048  1000          0.0993904734 
