diff --git a/docs/source/models/xtts.md b/docs/source/models/xtts.md
index ff6bcf97..f606bf2f 100644
--- a/docs/source/models/xtts.md
+++ b/docs/source/models/xtts.md
@@ -134,6 +134,17 @@ torchaudio.save("xtts_streaming.wav", wav.squeeze().unsqueeze(0).cpu(), 24000)
 ```
 
 
+### Training
+
+A recipe for `XTTS_v1.1` GPT encoder training using `LJSpeech` dataset looks like below. Let's be creative and call this `train_gpt_xtts.py`.
+
+    ```{literalinclude} ../../recipes/ljspeech/xtts_v1/train_gpt_xtts.py
+    ```
+
+You need to change the fields of the `BaseDatasetConfig` to match your dataset and then update `GPTArgs` and `GPTTrainerConfig` fields as you need. By default, it will use the same parameters that XTTS v1.1 model was trained with. To speed up the model convergence, as default, it will also download the XTTS v1.1 checkpoint and load it.
+
+
+
 ## Important resources & papers
 - VallE: https://arxiv.org/abs/2301.02111
 - Tortoise Repo: https://github.com/neonbjb/tortoise-tts