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Update link to training script

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  1. README.md +1 -1
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  This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) 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.
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- 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 the training script - only the base model was updated from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) to [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large). 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.
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  ![Model size vs NDCG for Rerankers on GooAQ](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/train-reranker/reranker_gooaq_model_size_ndcg.png)
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  This is a [Cross Encoder](https://www.sbert.net/docs/cross_encoder/usage/usage.html) model finetuned from [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) 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.
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+ See [training_gooaq_bce.py](https://github.com/UKPLab/sentence-transformers/blob/master/examples/cross_encoder/training/rerankers/training_gooaq_bce.py) for the training script - only the base model was updated from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) to [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large). 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.
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  ![Model size vs NDCG for Rerankers on GooAQ](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/train-reranker/reranker_gooaq_model_size_ndcg.png)
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