diff --git a/src/cxxnet_main.cpp b/src/cxxnet_main.cpp
index 95df6e63..f6d2dda8 100644
--- a/src/cxxnet_main.cpp
+++ b/src/cxxnet_main.cpp
@@ -13,6 +13,7 @@
 #include "nnet/nnet.h"
 #include "io/data.h"
 #include "utils/config.h"
+#include <iostream>
 
 #if MSHADOW_DIST_PS
 #include "ps.h"
@@ -178,23 +179,39 @@ class CXXNetLearnTask {
   }
   // load in latest model from model_folder
   inline int SyncLastestModel(void) {
-    dmlc::Stream *fi = NULL, *last = NULL;
-    int s_counter = start_counter;
-    do{
-      if (last != NULL) delete last;
-      last = fi;
-      std::ostringstream os;
-      os << name_model_dir << '/' << std::setfill('0')
-         << std::setw(4) << s_counter++ << ".model";
-      fi = dmlc::Stream::Create(os.str().c_str(), "r", true);
-    } while (fi != NULL);
+    dmlc::Stream *fi = NULL, *next = NULL;
+	if (name_model_in != "NULL")
+	{
+		if (name_model_in.find('/') == -1 )
+			name_model_in = name_model_dir + "/" + name_model_in;
+		fi = dmlc::Stream::Create( name_model_in.c_str(), "r", true);
+		const char* counter = strrchr(name_model_in.c_str(), '/');
+		sscanf(counter+1, "%d", &start_counter);
+	}
+	if (fi == NULL)
+	{
+		char model_path[50];
+		sprintf(model_path, "%s/%04d.model", name_model_dir.c_str(), start_counter);
+		fi = dmlc::Stream::Create(model_path, "r", true);
+		if (fi == NULL)
+		{
+			start_counter = 1 - save_period;
+			do{
+			  start_counter += save_period;
+			  if (fi != NULL) delete fi;
+			  fi = next;
+			  sprintf(model_path, "%s/%04d.model", name_model_dir.c_str(), start_counter);
+			  next = dmlc::Stream::Create(model_path, "r", true);
+			} while (next != NULL);
+			start_counter -= save_period;
+		}
+	}
 
-    if (last != NULL) {
-      CHECK(last->Read(&net_type, sizeof(int)) != 0) << "invalid model format";
+    if (fi != NULL) {
+      CHECK(fi->Read(&net_type, sizeof(int)) != 0) << "invalid model format";
       net_trainer = this->CreateNet();
-      net_trainer->LoadModel(*last);
-      start_counter = s_counter - 1;
-      delete last;
+      net_trainer->LoadModel(*fi);
+      delete fi;
       return 1;
     } else {
       return 0;