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/bf09cd8e443d5445cc15b7503c14264d
	save_model_every_checkpoint: False
	seed: 267264279
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [2, 3]
	trial_seed: 0
	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    
0.6333922261  0.6466431095  0.4720000000  0.5047080979  0.3990860625  0.4009146341  0.4450203628  0.4488888889  0.0000000000  1.5340688229  0             1.5293178558 
0.9964664311  1.0000000000  0.7821176471  0.7363465160  0.5913937548  0.5838414634  0.6375416512  0.6281481481  8.4805653710  0.3256840587  300           0.4966490340 
0.9982332155  0.9964664311  0.8837647059  0.7777777778  0.5194211729  0.4893292683  0.6904850056  0.6592592593  16.961130742  0.2106622866  600           0.5106681673 
1.0000000000  0.9964664311  0.9416470588  0.7325800377  0.6127189642  0.5609756098  0.6638282118  0.6251851852  25.441696113  0.1415937501  900           0.5148218004 
1.0000000000  0.9964664311  0.9374117647  0.7740112994  0.5529322163  0.5503048780  0.6704924102  0.6488888889  28.268551236  0.1061877130  1000          0.5078280520 
