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/07ea1841921ad29c18ae52563b274925
	save_model_every_checkpoint: False
	seed: 164938159
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0, 2]
	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    
0.6369257951  0.6537102473  0.5082352941  0.5348399247  0.4508758568  0.4375000000  0.4427989633  0.4607407407  0.0000000000  1.6150231361  0             2.2098460197 
0.9876325088  0.9858657244  0.8108235294  0.7947269303  0.6972581874  0.6783536585  0.8881895594  0.8325925926  10.335689045  0.5566045662  300           0.7824950083 
0.9876325088  0.9858657244  0.8978823529  0.7853107345  0.7102056359  0.7134146341  0.9511292114  0.8340740741  20.671378091  0.3126574263  600           0.7610859227 
0.9885159011  0.9858657244  0.9331764706  0.7476459510  0.7170601676  0.7012195122  0.9707515735  0.8311111111  31.007067137  0.1981815844  900           0.7655067587 
0.9805653710  0.9717314488  0.9421176471  0.7853107345  0.7307692308  0.6798780488  0.9637171418  0.8207407407  34.452296819  0.1589800572  1000          0.7399253964 
