AtmicEmbeddingv3 / README.md
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Contrastive continue-train on expert_pass (mined hard negatives)
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metadata
language:
  - en
tags:
  - embeddings
  - information-retrieval
  - ramana-maharshi
  - contrastive-learning
base_model: SriRamanaAtmic/AtmicEmbeddingv2
license: mit
pipeline_tag: sentence-similarity

AtmicEmbedding (English query→passage)

Contrastive continue-training of AtmicEmbeddingv2 on the expert_pass Q&A dataset, with up to 3 mined hard negatives per anchor. Use query: / passage: prefixes + mean pooling + L2 normalize.