diff --git a/moco/main.py b/moco/main.py
index d55c56f..69512a0 100644
--- a/moco/main.py
+++ b/moco/main.py
@@ -12,6 +12,7 @@
 import argparse
 from tqdm import tqdm
 from pathlib import Path
+from datetime import datetime
 from warnings import simplefilter
 
 from moco.model import MoCo
@@ -85,7 +86,7 @@
     scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
                                                           lambda epoch: 0.1 if epoch in (120, 160) else 1)
     memo_bank = MemoryBank(f_k, device, momentum_loader, args.K)
-    writer = SummaryWriter(args.logs_root)
+    writer = SummaryWriter(args.logs_root + f'/{int(datetime.now().timestamp()*1e6)}')
 
     pbar = tqdm(range(args.epochs))
     for epoch in pbar:
diff --git a/simsiam/main.py b/simsiam/main.py
index f34085d..cc15ee3 100644
--- a/simsiam/main.py
+++ b/simsiam/main.py
@@ -13,6 +13,7 @@
 from tqdm import tqdm
 from pathlib import Path
 from warnings import simplefilter
+from datetime import datetime
 
 from simsiam.model import SimSiam
 from simsiam.data import GaussianBlur, CIFAR10Pairs
@@ -72,7 +73,7 @@
     test_data = CIFAR10(root=args.data_root, train=False, transform=test_transform, download=True)
     test_loader = DataLoader(test_data, batch_size=args.batch_size, shuffle=False, num_workers=28)
 
-    writer = SummaryWriter(args.logs_root)
+    writer = SummaryWriter(args.logs_root + f'/{int(datetime.now().timestamp()*1e6)}')
     model = torch.nn.DataParallel(SimSiam(args), device_ids=args.device_ids).to(device)
     Path('/'.join(args.check_point.split('/')[:-1])).mkdir(parents=True, exist_ok=True)
     Path(args.logs_root).mkdir(parents=True, exist_ok=True)