diff --git a/core/__init__.py b/core/__init__.py
index 03af283..c5d4bdc 100644
--- a/core/__init__.py
+++ b/core/__init__.py
@@ -90,17 +90,17 @@ def setup_extras_pre(self) -> Extras:
# setup dataset & dataloader, return a dict contained dataser, dataloader and/or iterator
@abstractmethod
def setup_data(self, extras: Extras) -> Data:
- raise NotImplementedError("This method needs to be overriden")
+ raise NotImplementedError("This method needs to be overridden")
# return a dict with all models that are going to be used in the training
@abstractmethod
def setup_models(self, extras: Extras) -> Models:
- raise NotImplementedError("This method needs to be overriden")
+ raise NotImplementedError("This method needs to be overridden")
# return a dict with all optimizers that are going to be used in the training
@abstractmethod
def setup_optimizers(self, extras: Extras, models: Models) -> Optimizers:
- raise NotImplementedError("This method needs to be overriden")
+ raise NotImplementedError("This method needs to be overridden")
# [optionally] return a dict with all schedulers that are going to be used in the training
def setup_schedulers(self, extras: Extras, models: Models, optimizers: Optimizers) -> Schedulers:
@@ -113,7 +113,7 @@ def setup_extras_post(self, extras: Extras, models: Models, optimizers: Optimize
# perform the training here
@abstractmethod
def train(self, data: Data, extras: Extras, models: Models, optimizers: Optimizers, schedulers: Schedulers):
- raise NotImplementedError("This method needs to be overriden")
+ raise NotImplementedError("This method needs to be overridden")
# ------------
def setup_info(self, full_path=None) -> Info:
@@ -278,7 +278,7 @@ def save_optimizer(self, optim, optim_id=None, full_path=None, fsdp_model=None):
# -----
def __init__(self, config_file_path=None, config_dict=None, device="cpu", training=True):
- # Temporary setup, will be overriden by setup_ddp if required
+ # Temporary setup, will be overridden by setup_ddp if required
self.device = device
self.process_id = 0
self.is_main_node = True