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Trainer/Training Loop/index.html

@@ -34,7 +34,7 @@
         <meta name="lang:search.tokenizer" content="[\s\-]+">
       
       <link rel="shortcut icon" href="../../assets/images/favicon.png">
-      <meta name="generator" content="mkdocs-1.0.4, mkdocs-material-4.4.0">
+      <meta name="generator" content="mkdocs-1.0.4, mkdocs-material-4.4.2">
     
     
       
@@ -42,7 +42,7 @@
       
     
     
-      <link rel="stylesheet" href="../../assets/stylesheets/application.0284f74d.css">
+      <link rel="stylesheet" href="../../assets/stylesheets/application.30686662.css">
       
       
     
@@ -171,7 +171,7 @@
         
       
       
-      <main class="md-main">
+      <main class="md-main" role="main">
         <div class="md-main__inner md-grid" data-md-component="container">
           
             
@@ -404,42 +404,49 @@
     <ul class="md-nav__list" data-md-scrollfix>
       
         <li class="md-nav__item">
-  <a href="#accumulated-gradients" title="Accumulated gradients" class="md-nav__link">
+  <a href="#accumulated-gradients" class="md-nav__link">
     Accumulated gradients
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#force-training-for-min-or-max-epochs" title="Force training for min or max epochs" class="md-nav__link">
+  <a href="#force-training-for-min-or-max-epochs" class="md-nav__link">
     Force training for min or max epochs
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#force-disable-early-stop" title="Force disable early stop" class="md-nav__link">
+  <a href="#early-stopping" class="md-nav__link">
+    Early stopping
+  </a>
+  
+</li>
+      
+        <li class="md-nav__item">
+  <a href="#force-disable-early-stop" class="md-nav__link">
     Force disable early stop
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#gradient-clipping" title="Gradient Clipping" class="md-nav__link">
+  <a href="#gradient-clipping" class="md-nav__link">
     Gradient Clipping
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#inspect-gradient-norms" title="Inspect gradient norms" class="md-nav__link">
+  <a href="#inspect-gradient-norms" class="md-nav__link">
     Inspect gradient norms
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#set-how-much-of-the-training-set-to-check" title="Set how much of the training set to check" class="md-nav__link">
+  <a href="#set-how-much-of-the-training-set-to-check" class="md-nav__link">
     Set how much of the training set to check
   </a>
   
@@ -552,42 +559,49 @@
     <ul class="md-nav__list" data-md-scrollfix>
       
         <li class="md-nav__item">
-  <a href="#accumulated-gradients" title="Accumulated gradients" class="md-nav__link">
+  <a href="#accumulated-gradients" class="md-nav__link">
     Accumulated gradients
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#force-training-for-min-or-max-epochs" title="Force training for min or max epochs" class="md-nav__link">
+  <a href="#force-training-for-min-or-max-epochs" class="md-nav__link">
     Force training for min or max epochs
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#force-disable-early-stop" title="Force disable early stop" class="md-nav__link">
+  <a href="#early-stopping" class="md-nav__link">
+    Early stopping
+  </a>
+  
+</li>
+      
+        <li class="md-nav__item">
+  <a href="#force-disable-early-stop" class="md-nav__link">
     Force disable early stop
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#gradient-clipping" title="Gradient Clipping" class="md-nav__link">
+  <a href="#gradient-clipping" class="md-nav__link">
     Gradient Clipping
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#inspect-gradient-norms" title="Inspect gradient norms" class="md-nav__link">
+  <a href="#inspect-gradient-norms" class="md-nav__link">
     Inspect gradient norms
   </a>
   
 </li>
       
         <li class="md-nav__item">
-  <a href="#set-how-much-of-the-training-set-to-check" title="Set how much of the training set to check" class="md-nav__link">
+  <a href="#set-how-much-of-the-training-set-to-check" class="md-nav__link">
     Set how much of the training set to check
   </a>
   
@@ -634,6 +648,35 @@
 </pre></div>
 </td></tr></table>
 
+<hr />
+<h4 id="early-stopping">Early stopping</h4>
+<p>To enable ealry-stopping, define the callback and give it to the trainer.</p>
+<table class="codehilitetable"><tr><td class="linenos"><div class="linenodiv"><pre> 1
+ 2
+ 3
+ 4
+ 5
+ 6
+ 7
+ 8
+ 9
+10
+11
+12</pre></div></td><td class="code"><div class="codehilite"><pre><span></span><span class="kn">from</span> <span class="nn">pytorch_lightning.callbacks</span> <span class="kn">import</span> <span class="n">EarlyStopping</span>
+
+<span class="c1"># DEFAULTS</span>
+<span class="n">early_stop_callback</span> <span class="o">=</span> <span class="n">EarlyStopping</span><span class="p">(</span>
+    <span class="n">monitor</span><span class="o">=</span><span class="s1">&#39;val_loss&#39;</span><span class="p">,</span>
+    <span class="n">min_delta</span><span class="o">=</span><span class="mf">0.00</span><span class="p">,</span>
+    <span class="n">patience</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
+    <span class="n">verbose</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
+    <span class="n">mode</span><span class="o">=</span><span class="s1">&#39;auto&#39;</span>
+<span class="p">)</span>
+
+<span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">early_stop_callback</span><span class="o">=</span><span class="n">early_stop_callback</span><span class="p">)</span>
+</pre></div>
+</td></tr></table>
+
 <hr />
 <h4 id="force-disable-early-stop">Force disable early stop</h4>
 <p>Use this to turn off early stopping and run training to the <a href="#force-training-for-min-or-max-epochs">max_epoch</a></p>
@@ -652,10 +695,10 @@ Specifically, this will <a href="https://pytorch.org/docs/stable/nn.html#torch.n
 3
 4
 5</pre></div></td><td class="code"><div class="codehilite"><pre><span></span><span class="c1"># DEFAULT (ie: don&#39;t clip)</span>
-<span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">gradient_clip</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+<span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">gradient_clip_val</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
 
 <span class="c1"># clip gradients with norm above 0.5</span>
-<span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">gradient_clip</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+<span class="n">trainer</span> <span class="o">=</span> <span class="n">Trainer</span><span class="p">(</span><span class="n">gradient_clip_val</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
 </pre></div>
 </td></tr></table>
 
@@ -758,7 +801,7 @@ Specifically, this will <a href="https://pytorch.org/docs/stable/nn.html#torch.n
       
     </div>
     
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+      <script src="../../assets/javascripts/application.c648116f.js"></script>
       
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