params.csv

data_name	num_classes	device	num_workers	counter	classes_per_batch	seed	total_epochs	eval_interval	loss_name	lr_scheduler	sampler	network_name	weight_decay	trust_mode	symmetric_noise_rate	batch_size	momentum	transit_time_ratio	warmup_epochs	lr	batch_accumu_steps	milestones	gamma	loss_mode	exp_base	logit_soften_T	summary_writer_dir	train	total_iterations	warmup_iterations
cifar100	100	gpu	8	iteration	64	123	100	500	proselflc	WarmupMultiStepSchedule	BalancedBatchSampler	shufflenetv2	0.001	global*max_p	0.4	128	0.9	0.5	0	0.2	10	[20000, 30000]	0.1	cross entropy	8	0.4	/home/xinshao/tpami_proselflc_experiments_calibration//cifar100_symmetric_noise_rate_0.4/shufflenetv2/502_proselflc_warm0_20220606-150113	False	39000	0