diff --git a/src/classifier.c b/src/classifier.c
index 5f5ab1bf..4cfbedb0 100644
--- a/src/classifier.c
+++ b/src/classifier.c
@@ -133,7 +133,7 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
     float topk = 0;
 
     int count = 0;
-    double start, end, tmp, time_remaining[1000] = {0};
+    double start, end, time_remaining, avg_t_minus_1, avg_t, alpha = 0.01;
     start = what_time_is_it_now();
 
     while(get_current_batch(net) < net.max_batches || net.max_batches == 0){
@@ -187,16 +187,15 @@ void train_classifier(char *datacfg, char *cfgfile, char *weightfile, int *gpus,
         printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)(*net.seen)/ train_images_num, loss, avg_loss, get_current_rate(net), sec(clock()-time), *net.seen);
 #ifdef OPENCV
         end = what_time_is_it_now();
-        time_remaining[i%1000] = (net.max_batches - i)*(end - start) / 60 / 60;
-        tmp = 0.0;
-        int j, count = 0;
-        for (j = 0; j < 1000; ++j){
-            if (time_remaining[j] != 0){
-                tmp += time_remaining[j];
-                count++;
+        time_remaining = (net.max_batches - i)*(end - start) / 60 / 60;
+        if (i > 1){  // ignore the first iteration
+            if (i == 2){
+                avg_t_minus_1 = time_remaining;
             }
+            avg_t = alpha * time_remaining + (1 - alpha) * avg_t_minus_1;
+            avg_t_minus_1 = avg_t;
         }
-        if (!dontuse_opencv) draw_train_loss(windows_name, img, img_size, avg_loss, max_img_loss, i, net.max_batches, topk, draw_precision, topk_buff, dont_show, mjpeg_port, tmp/count);
+        if (!dontuse_opencv) draw_train_loss(windows_name, img, img_size, avg_loss, max_img_loss, i, net.max_batches, topk, draw_precision, topk_buff, dont_show, mjpeg_port, avg_t);
         start = what_time_is_it_now();
 #endif  // OPENCV