change resnet parameters to speed up training for now

experiments/experiment_resnets.py

@@ -15,7 +15,7 @@ def run():
     # callbacks
     early_stop = EarlyStopping(
         monitor='val_loss',
-        patience=50,
+        patience=20,
         verbose=True,
         mode='min'
     )
@@ -30,7 +30,7 @@ def run():
 
     if USE_GPU:
         trainer = Trainer(gpus=[0], distributed_backend='ddp',
-                          experiment=exp, max_nb_epochs=500, train_percent_check=1.0,
+                          experiment=exp, max_nb_epochs=100, train_percent_check=1.0,
                           fast_dev_run=False, early_stop_callback=early_stop,
                           checkpoint_callback=checkpoint_callback)
     else:
@@ -42,7 +42,6 @@ def run():
     print(model)
 
     trainer.fit(model)
-    # TODO log testing results
     trainer.test()