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/6d481a40ca86768fad6a5088cb58458e
	save_model_every_checkpoint: False
	seed: 1155380425
	skip_model_save: False
	steps: 1001
	task: domain_generalization
	test_envs: [0]
	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    
0.6095406360  0.6289752650  0.4268235294  0.4538606403  0.4002284844  0.3963414634  0.4450203628  0.4459259259  0.0000000000  1.5691214800  0             1.3228244781 
0.9681978799  0.9575971731  0.8042352941  0.7627118644  0.8476770754  0.7759146341  0.8863383932  0.8488888889  10.335689045  0.5472711667  300           0.6333832312 
0.9655477032  0.9787985866  0.8672941176  0.7608286252  0.9192688500  0.7637195122  0.9363198815  0.8385185185  20.671378091  0.3273245532  600           0.6328919633 
0.9761484099  0.9717314488  0.8917647059  0.7627118644  0.9554455446  0.8003048780  0.9626064421  0.8622222222  31.007067137  0.2252053858  900           0.6284170349 
0.9549469965  0.9611307420  0.9388235294  0.7551789077  0.9691546078  0.8033536585  0.9629766753  0.8385185185  34.452296819  0.1616993903  1000          0.6197570014 
