avemio
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GRAG-ModernBERT-Base-TRIPLES

Sentence Similarity

sentence-transformers

feature-extraction

Generated from Trainer

dataset_size:264810

loss:MatryoshkaLoss

loss:MultipleNegativesRankingLoss

Inference Endpoints

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avemio-digital commited on 8 days ago

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@@ -243,7 +243,7 @@ datasets:
 - avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI
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-# BGE base Financial Matryoshka
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI](https://huggingface.co/datasets/avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

 - avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI
 ---
+# ModernBERT-Base
 This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the [avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI](https://huggingface.co/datasets/avemio/GRAG-EMBEDDING-TRIPLES-HESSIAN-AI) dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.