jiosephlee/intern-s1-mini-context-conditioned-molecule-transfer-v10-3-1-dili-best
The jiosephlee/intern-s1-mini-context-conditioned-molecule-transfer-v10-3-1-dili-best is an 8 billion parameter model, derived from the Intern-S1-mini-lm base, specifically fine-tuned for context-conditioned molecule transfer related to drug-induced liver injury (DILI). This model excels at tasks involving the generation or modification of molecules based on specific DILI contexts, leveraging its specialized training dataset. It is designed for applications requiring precise molecular manipulation and prediction within the pharmaceutical and toxicology domains.
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Overview
This model, intern-s1-mini-context-conditioned-molecule-transfer-v10-3-1-dili-best, is an 8 billion parameter checkpoint derived from the Intern-S1-mini-lm base model. It has been specifically fine-tuned for context-conditioned molecule transfer tasks, focusing on drug-induced liver injury (DILI).
Key Capabilities
- Context-Conditioned Molecule Transfer: Specializes in generating or modifying molecules based on specific DILI-related contexts.
- DILI-Specific Optimization: Trained on a dedicated
context-conditioned-molecule-transfer-v10.3.1-dili-mixed-canonical-interndataset, ensuring high relevance to drug-induced liver injury research. - Performance Metrics: Achieved a validation Macro-F1@5 of 0.6270 and a test Macro-F1@5 of 0.6144, demonstrating its effectiveness in its specialized domain.
Good For
- Researchers and developers working on drug discovery and toxicology, particularly in understanding and predicting drug-induced liver injury.
- Applications requiring the generation or modification of molecular structures under specific DILI-related conditions.
- Projects that benefit from a model optimized for precise molecular transfer tasks within a biomedical context.