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@@ -17,10 +17,14 @@ being closer to `college of charleston computer science` than it is to `boston u
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  #### Training
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  This embedding model was trained using hard-negative mining and InfoNCE on a mixture of data sourced from [ROR](https://ror.org/) and hand-annotated data gathered from PubMed.
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- Hard negatives were identified using TF-IDF in conjunction with false positive high-similarity pairs derived from encoding strings with the base embedding model.
 
 
 
 
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  This finetune more aggressively separates different institutions with commonalities as compared to the base model.
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- ![finetunesvgmbertaffil](https://cdn-uploads.huggingface.co/production/uploads/62cf05b026c94b143172379c/sLZhqdII6GoVLxj91wMM1.png)
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  #### Usage
 
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  #### Training
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  This embedding model was trained using hard-negative mining and InfoNCE on a mixture of data sourced from [ROR](https://ror.org/) and hand-annotated data gathered from PubMed.
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+ Hard negatives were identifie
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+ ![finetunesvgmbertaffilwords](https://cdn-uploads.huggingface.co/production/uploads/62cf05b026c94b143172379c/DgjkXSFDoys5LO3b1MsOi.png)
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+ d using TF-IDF in conjunction with false positive high-similarity pairs derived from encoding strings with the base embedding model.
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  This finetune more aggressively separates different institutions with commonalities as compared to the base model.
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+ ![finetunesvgmbertaffilwords](https://cdn-uploads.huggingface.co/production/uploads/62cf05b026c94b143172379c/DgjkXSFDoys5LO3b1MsOi.png)
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  #### Usage