diff --git a/configs/nas-benchmark/algos/weight-sharing.config b/configs/nas-benchmark/algos/weight-sharing.config
index a58d727..18199c9 100644
--- a/configs/nas-benchmark/algos/weight-sharing.config
+++ b/configs/nas-benchmark/algos/weight-sharing.config
@@ -2,7 +2,7 @@
   "scheduler": ["str",   "cos"],
   "LR"       : ["float", "0.025"],
   "eta_min"  : ["float", "0.001"],
-  "epochs"   : ["int",   "150"],
+  "epochs"   : ["int",   "100"],
   "warmup"   : ["int",   "0"],
   "optim"    : ["str",   "SGD"],
   "decay"    : ["float", "0.0005"],
diff --git a/exps/algos-v2/search-cell.py b/exps/algos-v2/search-cell.py
index 19c9f68..ab33fb6 100644
--- a/exps/algos-v2/search-cell.py
+++ b/exps/algos-v2/search-cell.py
@@ -12,6 +12,10 @@
 # python ./exps/algos-v2/search-cell.py --dataset cifar10  --data_path $TORCH_HOME/cifar.python --algo gdas --rand_seed 1
 # python ./exps/algos-v2/search-cell.py --dataset cifar100 --data_path $TORCH_HOME/cifar.python --algo gdas
 # python ./exps/algos-v2/search-cell.py --dataset ImageNet16-120 --data_path $TORCH_HOME/cifar.python/ImageNet16 --algo gdas
+####
+# python ./exps/algos-v2/search-cell.py --dataset cifar10  --data_path $TORCH_HOME/cifar.python --algo setn --rand_seed 1
+# python ./exps/algos-v2/search-cell.py --dataset cifar100 --data_path $TORCH_HOME/cifar.python --algo setn
+# python ./exps/algos-v2/search-cell.py --dataset ImageNet16-120 --data_path $TORCH_HOME/cifar.python/ImageNet16 --algo setn
 ######################################################################################
 import os, sys, time, random, argparse
 import numpy as np
@@ -252,6 +256,7 @@ def main(xargs):
   logger.log('model config : {:}'.format(model_config))
   search_model = get_cell_based_tiny_net(model_config)
   search_model.set_algo(xargs.algo)
+  logger.log('{:}'.format(search_model))
 
   w_optimizer, w_scheduler, criterion = get_optim_scheduler(search_model.weights, config)
   a_optimizer = torch.optim.Adam(search_model.alphas, lr=xargs.arch_learning_rate, betas=(0.5, 0.999), weight_decay=xargs.arch_weight_decay)
@@ -396,6 +401,6 @@ if __name__ == '__main__':
   parser.add_argument('--rand_seed',          type=int,   help='manual seed')
   args = parser.parse_args()
   if args.rand_seed is None or args.rand_seed < 0: args.rand_seed = random.randint(1, 100000)
-  args.save_dir = os.path.join('{:}-{:}'.format(args.save_dir, args.search_space), args.dataset, args.algo)
+  args.save_dir = os.path.join('{:}-{:}'.format(args.save_dir, args.search_space), args.dataset, '{:}-{:}'.format(args.algo, args.drop_path_rate))
 
   main(args)