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/8cfbf830754065d02f9723c57abc992e
	save_model_every_checkpoint: False
	seed: 1878899245
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [1, 3]
	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    
0.7544169611  0.7349823322  0.4640000000  0.4990583804  0.4185072353  0.4344512195  0.4439096631  0.4459259259  0.0000000000  1.6586600542  0             0.8204424381 
1.0000000000  1.0000000000  0.6381176471  0.6195856874  0.9021325209  0.7942073171  0.7460199926  0.7688888889  10.335689045  0.2694484687  300           0.2729239146 
0.9991166078  0.9964664311  0.6084705882  0.5969868173  0.9405940594  0.7942073171  0.7141799334  0.7200000000  20.671378091  0.1227226931  600           0.2742725794 
1.0000000000  1.0000000000  0.6475294118  0.6572504708  0.9630616908  0.8003048780  0.7671232877  0.7762962963  31.007067137  0.0694726440  900           0.2802266463 
1.0000000000  0.9964664311  0.6244705882  0.6101694915  0.9813404417  0.8079268293  0.7778600518  0.7777777778  34.452296819  0.0363020070  1000          0.2752757215 
