diff --git a/src/nnetbin/nnet-train-frmshuff.cc b/src/nnetbin/nnet-train-frmshuff.cc
index 5b7a6af6f60..cc50e33ea42 100644
--- a/src/nnetbin/nnet-train-frmshuff.cc
+++ b/src/nnetbin/nnet-train-frmshuff.cc
@@ -159,7 +159,7 @@ int main(int argc, char *argv[]) {
 
     CuMatrix<BaseFloat> feats_transf, nnet_out, obj_diff;
 
-    Timer time;
+    Timer time, time_io;
     KALDI_LOG << (crossvalidate ? "CROSS-VALIDATION" : "TRAINING")
               << " STARTED";
 
@@ -167,6 +167,8 @@ int main(int argc, char *argv[]) {
           num_no_tgt_mat = 0,
           num_other_error = 0;
 
+    double time_io_accu = 0.0;
+
     // main loop,
     while (!feature_reader.Done()) {
 #if HAVE_CUDA == 1
@@ -174,6 +176,7 @@ int main(int argc, char *argv[]) {
       CuDevice::Instantiate().CheckGpuHealth();
 #endif
       // fill the randomizer,
+      time_io.Reset();
       for ( ; !feature_reader.Done(); feature_reader.Next()) {
         if (feature_randomizer.IsFull()) {
           // break the loop without calling Next(),
@@ -219,6 +222,10 @@ int main(int argc, char *argv[]) {
           weights.Scale(w);
         }
 
+        // accumulate the I/O time,
+        time_io_accu += time_io.Elapsed();
+        time_io.Reset(); // to be sure we don't count 2x,
+
         // skip too long utterances (or we run out of memory),
         if (mat.NumRows() > max_frames) {
           KALDI_WARN << "Utterance too long, skipping! " << utt
@@ -299,13 +306,7 @@ int main(int argc, char *argv[]) {
         weights_randomizer.AddData(weights);
         num_done++;
 
-        // report the speed,
-        if (num_done % 5000 == 0) {
-          double time_now = time.Elapsed();
-          KALDI_VLOG(1) << "After " << num_done << " utterances: "
-            << "time elapsed = " << time_now / 60 << " min; "
-            << "processed " << total_frames / time_now << " frames per sec.";
-        }
+        time_io.Reset(); // reset before reading next feature matrix,
       }
 
       // randomize,
@@ -350,11 +351,11 @@ int main(int argc, char *argv[]) {
 
         // 1st mini-batch : show what happens in network,
         if (total_frames == 0) {
-          KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-          KALDI_VLOG(1) << nnet.InfoPropagate();
+          KALDI_LOG << "### After " << total_frames << " frames,";
+          KALDI_LOG << nnet.InfoPropagate();
           if (!crossvalidate) {
-            KALDI_VLOG(1) << nnet.InfoBackPropagate();
-            KALDI_VLOG(1) << nnet.InfoGradient();
+            KALDI_LOG << nnet.InfoBackPropagate();
+            KALDI_LOG << nnet.InfoGradient();
           }
         }
 
@@ -380,11 +381,11 @@ int main(int argc, char *argv[]) {
     }  // main loop,
 
     // after last mini-batch : show what happens in network,
-    KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-    KALDI_VLOG(1) << nnet.InfoPropagate();
+    KALDI_LOG << "### After " << total_frames << " frames,";
+    KALDI_LOG << nnet.InfoPropagate();
     if (!crossvalidate) {
-      KALDI_VLOG(1) << nnet.InfoBackPropagate();
-      KALDI_VLOG(1) << nnet.InfoGradient();
+      KALDI_LOG << nnet.InfoBackPropagate();
+      KALDI_LOG << nnet.InfoGradient();
     }
 
     if (!crossvalidate) {
@@ -397,7 +398,8 @@ int main(int argc, char *argv[]) {
       << "[" << (crossvalidate ? "CROSS-VALIDATION" : "TRAINING")
       << ", " << (randomize ? "RANDOMIZED" : "NOT-RANDOMIZED")
       << ", " << time.Elapsed() / 60 << " min, processing "
-      << total_frames / time.Elapsed() << " frames per sec.]";
+      << total_frames / time.Elapsed() << " frames per sec;"
+      << " i/o time " << 100.*time_io_accu/time.Elapsed() << "%]";
 
     if (objective_function == "xent") {
       KALDI_LOG << xent.ReportPerClass();
diff --git a/src/nnetbin/nnet-train-multistream-perutt.cc b/src/nnetbin/nnet-train-multistream-perutt.cc
index 7b68dee05e5..3694cf29e01 100644
--- a/src/nnetbin/nnet-train-multistream-perutt.cc
+++ b/src/nnetbin/nnet-train-multistream-perutt.cc
@@ -282,7 +282,6 @@ int main(int argc, char *argv[]) {
           os << frame_num_utt[i] << " ";
         }
         os << "]";
-
         KALDI_LOG << "frame_num_utt[" << frame_num_utt.size() << "]" << os.str();
       }
       // Reset all the streams (we have new sentences),
@@ -301,31 +300,20 @@ int main(int argc, char *argv[]) {
 
       // 1st model update : show what happens in network,
       if (total_frames == 0) {
-        KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-        KALDI_VLOG(1) << nnet.Info();
-        KALDI_VLOG(1) << nnet.InfoPropagate();
+        KALDI_LOG << "### After " << total_frames << " frames,";
+        KALDI_LOG << nnet.Info();
+        KALDI_LOG << nnet.InfoPropagate();
         if (!crossvalidate) {
-          KALDI_VLOG(1) << nnet.InfoBackPropagate();
-          KALDI_VLOG(1) << nnet.InfoGradient();
+          KALDI_LOG << nnet.InfoBackPropagate();
+          KALDI_LOG << nnet.InfoGradient();
         }
       }
 
-      int32 tmp_done = num_done;
       kaldi::int64 tmp_frames = total_frames;
 
       num_done += frame_num_utt.size();
       total_frames += std::accumulate(frame_num_utt.begin(), frame_num_utt.end(), 0);
 
-      // report the speed,
-      int32 N = 5000;
-      if (tmp_done / N != num_done / N) {
-        double time_now = time.Elapsed();
-        KALDI_VLOG(1) << "After " << num_done << " utterances, "
-          << "(" << total_frames/360000.0 << "h), "
-          << "time elapsed = " << time_now / 60 << " min; "
-          << "processed " << total_frames / time_now << " frames per sec.";
-      }
-
       // monitor the NN training (--verbose=2),
       int32 F = 25000;
       if (GetVerboseLevel() >= 3) {
@@ -343,14 +331,12 @@ int main(int argc, char *argv[]) {
     }
 
     // after last model update : show what happens in network,
-    if (GetVerboseLevel() >= 1) {  // vlog-1
-      KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-      KALDI_VLOG(1) << nnet.Info();
-      KALDI_VLOG(1) << nnet.InfoPropagate();
-      if (!crossvalidate) {
-        KALDI_VLOG(1) << nnet.InfoBackPropagate();
-        KALDI_VLOG(1) << nnet.InfoGradient();
-      }
+    KALDI_LOG << "### After " << total_frames << " frames,";
+    KALDI_LOG << nnet.Info();
+    KALDI_LOG << nnet.InfoPropagate();
+    if (!crossvalidate) {
+      KALDI_LOG << nnet.InfoBackPropagate();
+      KALDI_LOG << nnet.InfoGradient();
     }
 
     if (!crossvalidate) {
diff --git a/src/nnetbin/nnet-train-multistream.cc b/src/nnetbin/nnet-train-multistream.cc
index 5607072aa94..133c49e02a5 100644
--- a/src/nnetbin/nnet-train-multistream.cc
+++ b/src/nnetbin/nnet-train-multistream.cc
@@ -360,7 +360,6 @@ int main(int argc, char *argv[]) {
           os << frame_num_utt[i] << " ";
         }
         os << "]";
-
         KALDI_LOG << "frame_num_utt[" << frame_num_utt.size() << "]" << os.str();
       }
 
@@ -387,31 +386,20 @@ int main(int argc, char *argv[]) {
 
       // 1st minibatch : show what happens in network,
       if (total_frames == 0) {
-        KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-        KALDI_VLOG(1) << nnet.Info();
-        KALDI_VLOG(1) << nnet.InfoPropagate();
+        KALDI_LOG << "### After " << total_frames << " frames,";
+        KALDI_LOG << nnet.Info();
+        KALDI_LOG << nnet.InfoPropagate();
         if (!crossvalidate) {
-          KALDI_VLOG(1) << nnet.InfoBackPropagate();
-          KALDI_VLOG(1) << nnet.InfoGradient();
+          KALDI_LOG << nnet.InfoBackPropagate();
+          KALDI_LOG << nnet.InfoGradient();
         }
       }
 
-      int32 tmp_done = num_done;
       kaldi::int64 tmp_frames = total_frames;
 
       num_done += std::accumulate(new_utt_flags.begin(), new_utt_flags.end(), 0);
       total_frames += std::accumulate(frame_num_utt.begin(), frame_num_utt.end(), 0);
 
-      // report the speed,
-      int32 N = 5000;
-      if (tmp_done / N != num_done / N) {
-        double time_now = time.Elapsed();
-        KALDI_VLOG(1) << "After " << num_done << " utterances, "
-          << "(" << total_frames/360000.0 << "h), "
-          << "time elapsed = " << time_now / 60 << " min; "
-          << "processed " << total_frames / time_now << " frames per sec.";
-      }
-
       // monitor the NN training (--verbose=2),
       int32 F = 25000;
       if (GetVerboseLevel() >= 2) {
@@ -429,12 +417,12 @@ int main(int argc, char *argv[]) {
     }
 
     // after last minibatch : show what happens in network,
-    KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-    KALDI_VLOG(1) << nnet.Info();
-    KALDI_VLOG(1) << nnet.InfoPropagate();
+    KALDI_LOG << "### After " << total_frames << " frames,";
+    KALDI_LOG << nnet.Info();
+    KALDI_LOG << nnet.InfoPropagate();
     if (!crossvalidate) {
-      KALDI_VLOG(1) << nnet.InfoBackPropagate();
-      KALDI_VLOG(1) << nnet.InfoGradient();
+      KALDI_LOG << nnet.InfoBackPropagate();
+      KALDI_LOG << nnet.InfoGradient();
     }
 
     if (!crossvalidate) {
diff --git a/src/nnetbin/nnet-train-perutt.cc b/src/nnetbin/nnet-train-perutt.cc
index 90e681d0f0b..8f417e1b608 100644
--- a/src/nnetbin/nnet-train-perutt.cc
+++ b/src/nnetbin/nnet-train-perutt.cc
@@ -238,11 +238,11 @@ int main(int argc, char *argv[]) {
 
       // 1st minibatch : show what happens in network,
       if (total_frames == 0) {
-        KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-        KALDI_VLOG(1) << nnet.InfoPropagate();
+        KALDI_LOG << "### After " << total_frames << " frames,";
+        KALDI_LOG << nnet.InfoPropagate();
         if (!crossvalidate) {
-          KALDI_VLOG(1) << nnet.InfoBackPropagate();
-          KALDI_VLOG(1) << nnet.InfoGradient();
+          KALDI_LOG << nnet.InfoBackPropagate();
+          KALDI_LOG << nnet.InfoGradient();
         }
       }
 
@@ -265,27 +265,14 @@ int main(int argc, char *argv[]) {
 
       num_done++;
       total_frames += frm_weights.Sum();
-
-      // do this every 5000 utterances,
-      if (num_done % 5000 == 0) {
-        // report the speed,
-        double time_now = time.Elapsed();
-        KALDI_VLOG(1) << "After " << num_done << " utterances: "
-          << "time elapsed = " << time_now / 60 << " min; "
-          << "processed " << total_frames / time_now << " frames per sec.";
-#if HAVE_CUDA == 1
-        // check that GPU computes accurately,
-        CuDevice::Instantiate().CheckGpuHealth();
-#endif
-      }
     }  // main loop,
 
     // after last minibatch : show what happens in network,
-    KALDI_VLOG(1) << "### After " << total_frames << " frames,";
-    KALDI_VLOG(1) << nnet.InfoPropagate();
+    KALDI_LOG << "### After " << total_frames << " frames,";
+    KALDI_LOG << nnet.InfoPropagate();
     if (!crossvalidate) {
-      KALDI_VLOG(1) << nnet.InfoBackPropagate();
-      KALDI_VLOG(1) << nnet.InfoGradient();
+      KALDI_LOG << nnet.InfoBackPropagate();
+      KALDI_LOG << nnet.InfoGradient();
     }
 
     if (!crossvalidate) {