Update beginner_source/knowledge_distillation_tutorial.py

AlexandrosChrtn · svekars · web-flow · commit 1d32f4ff8625 · 2023-08-16T23:18:14.000+03:00
Co-authored-by: Svetlana Karslioglu &lt;svekars@meta.com&gt;
diff --git a/beginner_source/knowledge_distillation_tutorial.py b/beginner_source/knowledge_distillation_tutorial.py
@@ -146,7 +146,7 @@ def forward(self, x):
 # We employ 2 functions to help us produce and evaluate the results on our original classification task.
 # One function called train with the following arguments:
 #
-# - ``model``: A model instance that is to be trained (update its weights) via this function
+# - ``model``: A model instance to train (update its weights) via this function.
 # - ``train_loader``: We defined our train_loader above, its job is to feed the data into the model
 # - ``epochs``: How many times we loop over the dataset
 # - ``learning_rate``: How large do we want the steps to be towards convergence. Too large / small steps can be bad

Original file line number	Diff line number	Diff line change
`@@ -146,7 +146,7 @@ def forward(self, x):`
`146`	`146`	`# We employ 2 functions to help us produce and evaluate the results on our original classification task.`
`147`	`147`	`# One function called train with the following arguments:`
`148`	`148`	`#`
`149`		-# - ``model``: A model instance that is to be trained (update its weights) via this function
	`149`	+# - ``model``: A model instance to train (update its weights) via this function.
`150`	`150`	# - ``train_loader``: We defined our train_loader above, its job is to feed the data into the model
`151`	`151`	# - ``epochs``: How many times we loop over the dataset
`152`	`152`	# - ``learning_rate``: How large do we want the steps to be towards convergence. Too large / small steps can be bad