AtmicEmbeddingv3 / README.md
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Contrastive continue-train on expert_pass (mined hard negatives)
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---
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.