metadata
license: cc-by-nc-2.0
language:
- en
base_model:
- dunzhang/stella_en_1.5B_v5
library_name: sentence-transformers
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 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
- Maximum Sequence Length: 512 tokens
- Output Dimensionality: 1024 tokens
- Similarity Function: Cosine Similarity