added example and verified

README.md

@@ -51,8 +51,6 @@ To use lightning do 2 things:
 #### Define the trainer   
 
 ```python
-# trainer.py
-
 import os
 import sys
 
@@ -83,16 +81,14 @@ def main(hparams):
     exp.save()
 
     # build model
-    print('loading model...')
     model = ExampleModel(hparams)
-    print('model built')
 
     # callbacks
     early_stop = EarlyStopping(
-        monitor=hparams.early_stop_metric,
-        patience=hparams.early_stop_patience,
+        monitor='val_acc',
+        patience=3,
+        mode='min',
         verbose=True,
-        mode=hparams.early_stop_mode
     )
 
     model_save_path = '{}/{}/{}'.format(hparams.model_save_path, exp.name, exp.version)
@@ -101,8 +97,8 @@ def main(hparams):
         save_function=None,
         save_best_only=True,
         verbose=True,
-        monitor=hparams.model_save_monitor_value,
-        mode=hparams.model_save_monitor_mode
+        monitor='val_acc',
+        mode='min'
     )
 
     # configure trainer
@@ -129,6 +125,7 @@ if __name__ == '__main__':
 
     # train model
     main(hyperparams)
+
 ```
 
 #### Define the model   

demo/basic_trainer.py

@@ -28,16 +28,14 @@ def main(hparams):
     exp.save()
 
     # build model
-    print('loading model...')
     model = ExampleModel(hparams)
-    print('model built')
 
     # callbacks
     early_stop = EarlyStopping(
-        monitor=hparams.early_stop_metric,
-        patience=hparams.early_stop_patience,
+        monitor='val_acc',
+        patience=3,
+        mode='min',
         verbose=True,
-        mode=hparams.early_stop_mode
     )
 
     model_save_path = '{}/{}/{}'.format(hparams.model_save_path, exp.name, exp.version)
@@ -46,8 +44,8 @@ def main(hparams):
         save_function=None,
         save_best_only=True,
         verbose=True,
-        monitor=hparams.model_save_monitor_value,
-        mode=hparams.model_save_monitor_mode
+        monitor='val_acc',
+        mode='min'
     )
 
     # configure trainer