Update README.md

README.md

@@ -23,7 +23,7 @@ We train and release "Cerule", a tiny yet powerful Vision Lanuage Model based on
 
 We utilise highly efficient data selection techniques with:
 ```
-- Pretraining stage : 650K images (A LAION 2M Subset)
+- Pretraining stage : 650K images (A LAION Subset)
 - Finetuning stage : 695K images (SVIT-mix-665K modified for finetuning(Dataset SOON!))
 ```
 The training setup was `4xA100's 80GB` and took ~6 hours to pretrain and ~13 hours to finetune. We modify and adapt the training code from [LLaVA](https://github.com/haotian-liu/LLaVA).