Update README.md

README.md

@@ -6,12 +6,11 @@ language:
 - en
 tags:
 - colpali
-- vidore
 - vidore-experimental
 ---
 # ColQwen2: Visual Retriever based on Qwen2-VL-2B-Instruct with ColBERT strategy
 
-### This is the base version trained with batch_size 256 instead of 32
+### This is the base version trained with batch_size 256 instead of 32 for 1 epoch
 
 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](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct) extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images.