diff --git a/chapters/en/chapter7/6.mdx b/chapters/en/chapter7/6.mdx
index 7a498a863..6c6418c75 100644
--- a/chapters/en/chapter7/6.mdx
+++ b/chapters/en/chapter7/6.mdx
@@ -870,7 +870,6 @@ for epoch in range(num_train_epochs):
         if step % 100 == 0:
             accelerator.print(
                 {
-                    "lr": get_lr(),
                     "samples": step * samples_per_step,
                     "steps": completed_steps,
                     "loss/train": loss.item() * gradient_accumulation_steps,
@@ -912,4 +911,4 @@ And that's it -- you now have your own custom training loop for causal language
 
 </Tip>
 
-{/if}
\ No newline at end of file
+{/if}