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OverSamu
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reranker-ModernBERT-base-ncbi-disease-bce

Text Ranking
sentence-transformers
Safetensors
English
modernbert
cross-encoder
reranker
Generated from Trainer
dataset_size:57130
loss:BinaryCrossEntropyLoss
Eval Results
Model card Files
xet
Community
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Update README.md

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@@ -17,7 +17,7 @@ metrics:
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  - mrr@10
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  - ndcg@10
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  model-index:
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- - name: ModernBERT-base trained on Mondo
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  results:
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  - task:
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  type: cross-encoder-reranking
@@ -37,7 +37,7 @@ model-index:
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  name: Ndcg@10
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  ---
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- # ModernBERT-base trained on Mondo
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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.
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  - mrr@10
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  - ndcg@10
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  model-index:
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+ - name: ModernBERT-base trained on NCBI disease
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  results:
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  - task:
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  type: cross-encoder-reranking
 
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  name: Ndcg@10
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  ---
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+ # ModernBERT-base trained on NCBI disease
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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.
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