diff --git a/docs/guides/checkpointing.md b/docs/guides/checkpointing.md
index a5e4b3502..623582824 100644
--- a/docs/guides/checkpointing.md
+++ b/docs/guides/checkpointing.md
@@ -228,13 +228,14 @@ uv run torchrun --nproc-per-node=2 examples/llm_finetune/finetune.py --step_sche
 
 ## Saving Checkpoints When Using Docker
 
-When training inside a Docker container (see [Installation Guide](installation.md)), any files written to the container's filesystem are lost when the container exits (especially with `--rm`). To keep your checkpoints, **bind-mount a host directory** to the checkpoint path before starting the container:
+When training inside a Docker container (see [Installation Guide](installation.md)), any files written to the container's filesystem are lost when the container exits (especially with `--rm`). To keep your checkpoints, you must **bind-mount a host directory** to the checkpoint path before starting the container:
 
 ```bash
 docker run --gpus all -it --rm \
   --shm-size=8g \
   -v "$(pwd)"/checkpoints:/opt/Automodel/checkpoints \
   nvcr.io/nvidia/nemo-automodel:25.11.00
+```
 
 You can also set a custom checkpoint directory via the YAML config or CLI override:
 ```yaml
diff --git a/docs/guides/llm/finetune.md b/docs/guides/llm/finetune.md
index 3ca81700e..a5ad7fe23 100644
--- a/docs/guides/llm/finetune.md
+++ b/docs/guides/llm/finetune.md
@@ -282,6 +282,10 @@ In these scenarios, you can pass `is_meta_device: true` in the model config. The
 ## Run the Fine-Tune Recipe
 Assuming the above `yaml` is saved in a file named `sft_guide.yaml` (or `peft_guide.yaml` if you want to do PEFT), you can run the fine-tuning workflow either using the AutoModel CLI or by directly invoking the recipe Python script.
 
+:::{note}
+**Fine-tuning in Docker.** When you run inside the NeMo AutoModel container, checkpoints are lost when the container exits unless you save them on the host. Use a bind-mount for your checkpoint directory (see [Install with NeMo Docker Container](../installation.md#install-with-nemo-docker-container)) and set `checkpoint.checkpoint_dir` to that path. Full details: [Saving Checkpoints When Using Docker](../checkpointing.md#saving-checkpoints-when-using-docker).
+:::
+
 ### AutoModel CLI
 
 When NeMo AutoModel is installed on your system, it includes the `automodel` CLI program that you