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/ee8f05db2b9ae5a36273cc0d2161f8c0
	save_model_every_checkpoint: False
	seed: 901962056
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [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    
0.6130742049  0.6325088339  0.4564705882  0.4896421846  0.3865194212  0.3826219512  0.4357645317  0.4222222222  0.0000000000  1.5491540432  0             1.1524951458 
1.0000000000  1.0000000000  0.8183529412  0.7664783427  0.7117288652  0.6890243902  0.9059607553  0.8518518519  10.335689045  0.3856955582  300           0.6124396364 
0.9991166078  1.0000000000  0.8541176471  0.7401129944  0.7520944402  0.7439024390  0.9489078119  0.8444444444  20.671378091  0.2231503439  600           0.6130792896 
0.9982332155  0.9964664311  0.9261176471  0.7777777778  0.6984006093  0.6753048780  0.9603850426  0.8237037037  31.007067137  0.1381842596  900           0.6130368471 
1.0000000000  1.0000000000  0.9449411765  0.7683615819  0.7349581112  0.7195121951  0.9766753054  0.8562962963  34.452296819  0.1258270860  1000          0.6275756717 
