diff --git a/README.md b/README.md
index 259f63cae6..9d6e01eb97 100644
--- a/README.md
+++ b/README.md
@@ -152,26 +152,9 @@ class ExampleModel(RootModule):
 | get_save_dict  | called when your model needs to be saved (checkpoints, hpc save, etc...)  | None  |  dict to be saved |
 |  load_model_specific |  called when loading a model | checkpoint: dict you created in get_save_dict  | dict: modified in whatever way you want  |
     
-    
-### Add new model
-1. Create a new model under /models.
-2. Add model name to trainer_main
-```python
-AVAILABLE_MODELS = {
-    'model_1': ExampleModel1
-}
-```
+## Optional model hooks.   
+Add these to the model whenever you want to configure training behavior.    
 
-### Model methods that can be implemented
-
-| Method | Purpose  | Input  | Output  | Required  |
-|---|---|---|---|---|
-| forward()  | Forward pass   | model_in tuple with your data  | model_out tuple to be passed to loss  | Y  |
-| loss()  | calculate model loss  | model_out tuple from forward()  | A scalar  | Y  |
-| check_performance()  | run a full loop through val data to check for metrics  | dataloader, nb_tests  | metrics tuple to be tracked  | Y  |
-| tng_dataloader  | Computed option, used to feed tng data  | -  | Pytorch DataLoader subclass  | Y  |
-| val_dataloader  | Computed option, used to feed tng data  | -  | Pytorch DataLoader subclass  | Y  |
-| test_dataloader  | Computed option, used to feed tng data  | -  | Pytorch DataLoader subclass  | Y  |
 
 ### Model lifecycle hooks
 Use these hooks to customize functionality