Update README.md

README.md

@@ -24,7 +24,7 @@ library_name: peft
 # ColQwen2.5-3b-multilingual: Multilingual Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy
 
 ### This is the base version trained on 4xA100 80GB with per_device_batch_size=128 and gradient_accumulation_steps=2 for 5 epoch. 
-### The ported scores are for the "checkpoint-1800".
+### The reported scores are for the "checkpoint-1800".
 
 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 [Qwen2.5-VL-3B](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) extension that generates [ColBERT](https://arxiv.org/abs/2004.12832)- style multi-vector representations of text and images.