Update Python

Python

@@ -21,7 +21,7 @@ train_data = dataset.map(preprocess_function, batched=True)
 
 # Define training arguments
 training_args = TrainingArguments(
-    output_dir="./outputs",  # Change this to your desired output directory
+    output_dir="./outputs",  # any desired output directory
     per_device_train_batch_size=8,
     per_device_eval_batch_size=8,
     num_train_epochs=3,  # Adjust number of epochs for training
@@ -48,4 +48,4 @@ trainer.train()
 
 # Model is now trained and uploaded to the Hub if push_to_hub was True
 
-# For manual upload after training, use the Hub API (refer to Hugging Face documentation)
+# For manual upload after training, we use the Hub API (refer to Hugging Face documentation)