sentence-transformers safetensors qwen2 sentence-similarity medical clinicaltrials cancer feature-extraction generated_from_trainer dataset_size:1395384 loss:OnlineContrastiveLoss loss:MultipleNegativesRankingLoss custom_code en base_model:NovaSearch/stella_en_1.5B_v5 base_model:finetune:NovaSearch/stella_en_1.5B_v5 license:cc-by-nc-2.0 autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
base_model:
- dunzhang/stella_en_1.5B_v5
language:
- en
library_name: sentence-transformers
license: cc-by-nc-2.0
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- medical
- clinicaltrials
- cancer
- feature-extraction
- generated_from_trainer
- dataset_size:1395384
- loss:OnlineContrastiveLoss
- loss:MultipleNegativesRankingLoss
---
# SentenceTransformer

This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

## Model Details

### Model Description
- **Model Type:** Sentence Transformer
<!-- - **Base model:** [dunzhang/stella_en_1.5B_v5](https://huggingface.co/dunzhang/stella_en_1.5B_v5) -->
- **Maximum Sequence Length:** 512 tokens
- **Output Dimensionality:** 1024 tokens
- **Similarity Function:** Cosine Similarity
