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/bfce2823ee1c49ab624fde5c5e2c1143
	save_model_every_checkpoint: False
	seed: 729020776
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [2]
	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    
0.6192579505  0.6254416961  0.4724705882  0.4670433145  0.3773800457  0.4146341463  0.4535357275  0.4074074074  0.0000000000  1.5559741259  0             1.1550295353 
0.9991166078  0.9929328622  0.8305882353  0.7570621469  0.7395277989  0.7560975610  0.9166975194  0.8325925926  8.4805653710  0.3378844495  300           0.5076199762 
1.0000000000  0.9823321555  0.8832941176  0.7532956685  0.6622239147  0.6905487805  0.9403924472  0.8237037037  16.961130742  0.2088435666  600           0.4945691800 
1.0000000000  0.9964664311  0.9327058824  0.7419962335  0.7117288652  0.7317073171  0.9722325065  0.8340740741  25.441696113  0.1441033643  900           0.4829492307 
0.9982332155  0.9964664311  0.9327058824  0.7608286252  0.6664127951  0.6570121951  0.9592743428  0.8014814815  28.268551236  0.1133815604  1000          0.5154592729 
