Cybersecurity Fine-Tuned Embedding Model
This model is fine-tuned on cybersecurity documents with a focus on healthcare contexts. It can be used to encode sentences and paragraphs into fixed-size embeddings for tasks like semantic search, clustering, or similarity detection.
Usage
from sentence_transformers import SentenceTransformer
model = SentenceTransformer('pratikmurali/finetuned_artic_ft')
# Sentences are encoded by calling model.encode()
embeddings = model.encode(['How can healthcare organizations improve cybersecurity?'])
Training Details
- Fine-tuned from Snowflake/snowflake-arctic-embed-l
- Training dataset: Healthcare and cybersecurity documents
- Used MatryoshkaLoss with MultipleNegativesRankingLoss
- Dimensions: [768, 512, 256, 128, 64]
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