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LightningModule/RequiredTrainerInterface/index.html

@@ -1303,8 +1303,8 @@ the <a href="https://williamfalcon.github.io/pytorch-lightning/Trainer/hooks/#op
 
 <p><strong>OPTIONAL</strong>  <br />
 If you don't need to validate you don't need to implement this method.    </p>
-<p>In this step you'd normally do the forward pass and calculate the loss for a batch. You can also do fancier things like multiple forward passes, calculate accuracy, or save example outputs (using self.experiment or whatever you want). Really, anything you want.       </p>
-<p>This is most likely the same as your training_step. But unlike training step, the outputs from here will go to validation_end for collation.</p>
+<p>In this step you'd normally generate examples or calculate anything of interest such as accuracy. </p>
+<p>The dict you return here will be available in the validation_end method. </p>
 <p><strong>Params</strong>   </p>
 <table>
 <thead>
@@ -1340,7 +1340,7 @@ If you don't need to validate you don't need to implement this method.    </p>
 <tbody>
 <tr>
 <td>dict</td>
-<td>Dict of OrderedDict with metrics to display in progress bar. All keys must be tensors.</td>
+<td>Dict or OrderedDict with metrics to display in progress bar. All keys must be tensors.</td>
 <td>Y</td>
 </tr>
 </tbody>