docs: update finetuner docs

docs/user-guides/finetuner.md

@@ -7,6 +7,8 @@ This guide will show you how to use [Finetuner](https://finetuner.jina.ai) to fi
 For installation and basic usage of Finetuner, please refer to [Finetuner documentation](https://finetuner.jina.ai).
 You can also [learn more details about fine-tuning CLIP](https://finetuner.jina.ai/tasks/text-to-image/).
 
+We use `finetuner`==0.6.2, `clip-as-service`==0.8.0 and `docarray`==0.17.0 in this tutorial.
+
 ## Prepare Training Data
 
 Finetuner accepts training data and evaluation data in the form of {class}`~docarray.array.document.DocumentArray`.
@@ -92,6 +94,7 @@ run = finetuner.fit(
     learning_rate=1e-5,
     loss='CLIPLoss',
     cpu=False,
+    to_onnx=True,
 )
 ```
 
@@ -174,10 +177,16 @@ executors:
     replicas: 1
 ```
 
+
 ```{warning}
-Note that Finetuner only support ViT-B/32 CLIP model currently. The model name should match the fine-tuned model, or you will get incorrect output.
+Note that `finetuner`==0.6.2 doesn't support these new clip models trained on Laion2B: 
+- ViT-B-32::laion2b-s34b-b79k
+- ViT-L-14::laion2b-s32b-b82k
+- ViT-H-14::laion2b-s32b-b79k
+- ViT-g-14::laion2b-s12b-b42k
 ```
 
+
 You can now start the `clip_server` using fine-tuned model to get a performance boost:
 
 ```bash