fix a typo in optimization_tutorial.py

partev · partev · commit d45521eac8cd · 2025-04-21T15:30:32.000-04:00
diff --git a/beginner_source/basics/optimization_tutorial.py b/beginner_source/basics/optimization_tutorial.py
@@ -76,7 +76,7 @@ def forward(self, x):
 # (`read more <https://pytorch.org/tutorials/beginner/hyperparameter_tuning_tutorial.html>`__ about hyperparameter tuning)
 #
 # We define the following hyperparameters for training:
-#  - **Number of Epochs** - the number times to iterate over the dataset
+#  - **Number of Epochs** - the number of times to iterate over the dataset
 #  - **Batch Size** - the number of data samples propagated through the network before the parameters are updated
 #  - **Learning Rate** - how much to update models parameters at each batch/epoch. Smaller values yield slow learning speed, while large values may result in unpredictable behavior during training.
 #

Original file line number	Diff line number	Diff line change
`@@ -76,7 +76,7 @@ def forward(self, x):`
`76`	`76`	# (`read more <https://pytorch.org/tutorials/beginner/hyperparameter_tuning_tutorial.html>`__ about hyperparameter tuning)
`77`	`77`	`#`
`78`	`78`	`# We define the following hyperparameters for training:`
`79`		`-# - Number of Epochs - the number times to iterate over the dataset`
	`79`	`+# - Number of Epochs - the number of times to iterate over the dataset`
`80`	`80`	`# - Batch Size - the number of data samples propagated through the network before the parameters are updated`
`81`	`81`	`# - Learning Rate - how much to update models parameters at each batch/epoch. Smaller values yield slow learning speed, while large values may result in unpredictable behavior during training.`
`82`	`82`	`#`