Update README.md

README.md

@@ -19,7 +19,10 @@ This modelcard aims to be a base template for new models. It has been generated
 
 ### Model Description
 
-<!-- ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features. It is a Qwen2-VL-2B extension that generates ColBERT- style multi-vector representations of text and images. It was introduced in the paper ColPali: Efficient Document Retrieval with Vision Language Models and first released in this repository. -->
+ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features. 
+It is a Qwen2-VL-7B extension that generates ColBERT- style multi-vector representations of text and images. 
+It was introduced in the paper ColPali: Efficient Document Retrieval with Vision Language Models and first released in this repository.
+This version is trained with batch_size 256 for 3 epochs.