diff --git a/GPy/core/model.py b/GPy/core/model.py
index d61b9b43..017864b0 100644
--- a/GPy/core/model.py
+++ b/GPy/core/model.py
@@ -256,7 +256,7 @@ class Model(Parameterized):
             optimizer = optimization.get_optimizer(optimizer)
             opt = optimizer(start, model=self, max_iters=max_iters, **kwargs)
 
-        with VerboseOptimization(self, maxiters=max_iters, verbose=messages, ipython_notebook=ipython_notebook):
+        with VerboseOptimization(self, opt, maxiters=max_iters, verbose=messages, ipython_notebook=ipython_notebook):
             opt.run(f_fp=self._objective_and_grads, f=self._objective, fp=self._objective_grads)
 
         self.optimization_runs.append(opt)
@@ -406,7 +406,9 @@ class Model(Parameterized):
         from operator import itemgetter
         to_print = ["""<style type="text/css">
 .pd{
-    font-family:"Courier New", Courier, monospace !important;
+    font-family: "Courier New", Courier, monospace !important;
+    width: 100%;
+    padding: 3px;
 }
 </style>\n"""] + ["<p class=pd>"] + ["{}: {}".format(name, detail) for name, detail in model_details] + ["</p>"]
         to_print.append(super(Model, self)._repr_html_())
diff --git a/GPy/core/parameterization/param.py b/GPy/core/parameterization/param.py
index e9a42cb5..1246bc18 100644
--- a/GPy/core/parameterization/param.py
+++ b/GPy/core/parameterization/param.py
@@ -274,7 +274,7 @@ class Param(Parameterizable, ObsAr):
         header = header_format.format(x=self.hierarchy_name(), c=__constraints_name__, i=__index_name__, t=__tie_name__, p=__priors_name__)  # nice header for printing
         if not ties: ties = itertools.cycle([''])
         return "\n".join(["""<style type="text/css">
-.tg  {padding:2px 3px;word-break:normal;border-collapse:collapse;border-spacing:0;border-color:#DCDCDC;margin:0px auto;}
+.tg  {padding:2px 3px;word-break:normal;border-collapse:collapse;border-spacing:0;border-color:#DCDCDC;margin:0px auto;width:100%;}
 .tg td{font-family:"Courier New", Courier, monospace !important;font-weight:bold;color:#444;background-color:#F7FDFA;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:#DCDCDC;}
 .tg th{font-family:"Courier New", Courier, monospace !important;font-weight:normal;color:#fff;background-color:#26ADE4;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:#DCDCDC;}
 .tg .tg-left{font-family:"Courier New", Courier, monospace !important;font-weight:normal;text-align:left;}
diff --git a/GPy/core/parameterization/parameterized.py b/GPy/core/parameterization/parameterized.py
index 317f8f47..44173f58 100644
--- a/GPy/core/parameterization/parameterized.py
+++ b/GPy/core/parameterization/parameterized.py
@@ -393,7 +393,7 @@ class Parameterized(Parameterizable):
 </tr>""".format(name=name)
             to_print.insert(0, header)
         style = """<style type="text/css">
-.tg  {font-family:"Courier New", Courier, monospace !important;padding:2px 3px;word-break:normal;border-collapse:collapse;border-spacing:0;border-color:#DCDCDC;margin:0px auto;}
+.tg  {font-family:"Courier New", Courier, monospace !important;padding:2px 3px;word-break:normal;border-collapse:collapse;border-spacing:0;border-color:#DCDCDC;margin:0px auto;width:100%;}
 .tg td{font-family:"Courier New", Courier, monospace !important;font-weight:bold;color:#444;background-color:#F7FDFA;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:#DCDCDC;}
 .tg th{font-family:"Courier New", Courier, monospace !important;font-weight:normal;color:#fff;background-color:#26ADE4;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:#DCDCDC;}
 .tg .tg-left{font-family:"Courier New", Courier, monospace !important;font-weight:normal;text-align:left;}
diff --git a/GPy/core/verbose_optimization.py b/GPy/core/verbose_optimization.py
index 352621d7..6686f88d 100644
--- a/GPy/core/verbose_optimization.py
+++ b/GPy/core/verbose_optimization.py
@@ -4,13 +4,14 @@
 
 import numpy as np
 import sys
+import time
 
 def exponents(fnow, current_grad):
     exps = [np.abs(np.float(fnow)), current_grad]
     return np.sign(exps) * np.log10(exps).astype(int)
 
 class VerboseOptimization(object):
-    def __init__(self, model, maxiters, verbose=True, current_iteration=0, ipython_notebook=False):
+    def __init__(self, model, opt, maxiters, verbose=True, current_iteration=0, ipython_notebook=False):
         self.verbose = verbose
         if self.verbose:
             self.model = model
@@ -19,33 +20,68 @@ class VerboseOptimization(object):
             self.p_iter = self.iteration
             self.maxiters = maxiters
             self.len_maxiters = len(str(maxiters))
+            self.opt_name = opt.opt_name
             self.model.add_observer(self, self.print_status)
 
             self.update()
 
             if self.ipython_notebook:
                 from IPython.display import display
-                from IPython.html.widgets import IntProgressWidget, HTMLWidget
+                from IPython.html.widgets import FloatProgressWidget, HTMLWidget, ContainerWidget
                 self.text = HTMLWidget()
-                display(self.text)
-                self.progress = IntProgressWidget()
-                display(self.progress)
+                self.progress = FloatProgressWidget()
+                self.model_show = HTMLWidget()
+
+                self.text.set_css('width', '100%')
+                #self.progress.set_css('width', '100%')
+
+                left_col = ContainerWidget(children = [self.progress, self.text])
+                right_col = ContainerWidget(children = [self.model_show])
+                hor_align = ContainerWidget(children = [left_col, right_col])
+
+                display(hor_align)
+
+                left_col.set_css({
+                         'padding': '2px',
+                         'width': "100%",
+                         })
+
+                right_col.set_css({
+                         'padding': '2px',
+                         })
+
+                hor_align.set_css({
+                         'width': "100%",
+                         })
+
+                hor_align.remove_class('vbox')
+                hor_align.add_class('hbox')
+
+                left_col.add_class("box-flex1")
+                right_col.add_class('box-flex0')
+
+                #self.text.add_class('box-flex2')
+                #self.progress.add_class('box-flex1')
             else:
                 self.exps = exponents(self.fnow, self.current_gradient)
-                print ' {0:{mi}s}   {1:11s}    {2:11s}'.format("I", "F", "|g|", mi=self.len_maxiters)
+                print 'Running {} Code:'.format(self.opt_name)
+                print ' {3:5s}   {0:{mi}s}   {1:11s}    {2:11s}'.format("i", "f", "|g|", "secs", mi=self.len_maxiters)
 
     def __enter__(self):
+        self.start = time.time()
         return self
 
     def print_out(self):
         if self.ipython_notebook:
-            names_vals = [['Iteration', "{:>0{l}}".format(self.iteration, l=self.len_maxiters)],
-                          ['f', "{: > 05.3E}".format(self.fnow)],
-                          ['||Gradient||', "{: >+05.3E}".format(float(self.current_gradient))],
+            names_vals = [['optimizer', "{:s}".format(self.opt_name)],
+                          ['runtime [s]', "{:> g}".format(time.time()-self.start)],
+                          ['evaluation', "{:>0{l}}".format(self.iteration, l=self.len_maxiters)],
+                          ['objective', "{: > 12.3E}".format(self.fnow)],
+                          ['||gradient||', "{: >+12.3E}".format(float(self.current_gradient))],
                       ]
             #message = "Lik:{:5.3E} Grad:{:5.3E} Lik:{:5.3E} Len:{!s}".format(float(m.log_likelihood()), np.einsum('i,i->', grads, grads), float(m.likelihood.variance), " ".join(["{:3.2E}".format(l) for l in m.kern.lengthscale.values]))
             html_begin = """<style type="text/css">
-    .tg-opt  {font-family:"Courier New", Courier, monospace !important;padding:2px 3px;word-break:normal;border-collapse:collapse;border-spacing:0;border-color:#DCDCDC;margin:0px auto;}
+    .tg-opt  {font-family:"Courier New", Courier, monospace !important;padding:2px 3px;word-break:normal;border-collapse:collapse;border-spacing:0;border-color:#DCDCDC;margin:0px auto;width:100%;}
     .tg-opt td{font-family:"Courier New", Courier, monospace !important;font-weight:bold;color:#444;background-color:#F7FDFA;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:#DCDCDC;}
     .tg-opt th{font-family:"Courier New", Courier, monospace !important;font-weight:normal;color:#fff;background-color:#26ADE4;border-style:solid;border-width:1px;overflow:hidden;word-break:normal;border-color:#DCDCDC;}
     .tg-opt .tg-left{font-family:"Courier New", Courier, monospace !important;font-weight:normal;text-align:left;}
@@ -61,6 +97,7 @@ class VerboseOptimization(object):
                 html_body += "</tr>"
             self.text.value = html_begin + html_body + html_end
             self.progress.value = 100*(self.iteration+1)/self.maxiters
+            self.model_show.value = self.model._repr_html_()
         else:
             n_exps = exponents(self.fnow, self.current_gradient)
             if self.iteration - self.p_iter >= 20 * np.random.rand():
@@ -72,7 +109,7 @@ class VerboseOptimization(object):
                 if b:
                     self.exps = n_exps
             print '\r',
-            print '{0:>0{mi}g}  {1:> 12e}  {2:> 12e}'.format(self.iteration, float(self.fnow), float(self.current_gradient), mi=self.len_maxiters), # print 'Iteration:', iteration, ' Objective:', fnow, '  Scale:', beta, '\r',
+            print '{3:> 6.2g}  {0:>0{mi}g}  {1:> 12e}  {2:> 12e}'.format(self.iteration, float(self.fnow), float(self.current_gradient), time.time()-self.start, mi=self.len_maxiters), # print 'Iteration:', iteration, ' Objective:', fnow, '  Scale:', beta, '\r',
             sys.stdout.flush()
 
     def print_status(self, me, which=None):
@@ -93,4 +130,12 @@ class VerboseOptimization(object):
 
     def __exit__(self, type, value, traceback):
         if self.verbose:
-            self.model.remove_observer(self)
\ No newline at end of file
+            self.model.remove_observer(self)
+        self.stop = time.time()
+
+        self.print_out()
+
+        if not self.ipython_notebook:
+            print
+            print 'Optimization finished in {0:.5g} Seconds'.format(self.stop-self.start)
+            print
\ No newline at end of file