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Italian-ModernBERT-base-embed-mmarco-triplet

Sentence Similarity
sentence-transformers
Safetensors
modernbert
feature-extraction
Generated from Trainer
dataset_size:39780811
loss:TripletLoss
Eval Results
Inference Endpoints
Model card Files Community
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  name: Cosine Accuracy on Test
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- # SentenceTransformer based on DeepMount00/Italian-ModernBERT-base
 
 
 
 
 
 
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  This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [DeepMount00/Italian-ModernBERT-base](https://huggingface.co/DeepMount00/Italian-ModernBERT-base) on the mmarco 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.
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  name: Cosine Accuracy on Test
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/624402e3c839178f5521d963/ZGkxItfkgXqn_t1VDn4HH.png)
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+ # Italian-ModernBERT-base-embed-mmarco-triplet
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  This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [DeepMount00/Italian-ModernBERT-base](https://huggingface.co/DeepMount00/Italian-ModernBERT-base) on the mmarco 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.
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