Update README.md

README.md

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 This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) using the [sentence-transformers](https://www.SBERT.net) library. It computes scores for pairs of texts, which can be used for text reranking and semantic search.
 
-See [training_gooaq_bce.py](https://github.com/UKPLab/sentence-transformers/blob/feat/cross_encoder_trainer/examples/cross_encoder/training/rerankers/training_gooaq_bce.py) for roughly the training script for this model. I only updated the dataset to trivia-qa, used the first 1000 samples as the evaluation dataset, and the remaining samples are used in the training dataset. This script is also described in the [Cross Encoder > Training Overview](https://sbert.net/docs/cross_encoder/training_overview.html) documentation and the [Training and Finetuning Reranker Models with Sentence Transformers v4](https://huggingface.co/blog/train-reranker) blogpost.
+See [training_trivia_qa_bce.py](training_trivia_qa_bce.py) for the training script for this model. This is a variation of the script described in the [Cross Encoder > Training Overview](https://sbert.net/docs/cross_encoder/training_overview.html) documentation and the [Training and Finetuning Reranker Models with Sentence Transformers v4](https://huggingface.co/blog/train-reranker) blogpost.
 
 ![Model size vs NDCG for Rerankers on GooAQ](https://cdn-uploads.huggingface.co/production/uploads/6317233cc92fd6fee317e030/A_4i8kuockDfavcF_aww2.png)