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Models/GIT-Mol-caption

GIT-Mol-caption

Reported on 14 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical14 results

  • Drug DiscoveryonChEBI-20
    BLEU· 2023-08-14
    75.6
    best: 92.6 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Drug DiscoveryonChEBI-20
    Exact Match· 2023-08-14
    5.1
    best: 53.3 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Drug DiscoveryonChEBI-20
    Levenshtein· 2023-08-14
    26.315
    best: 28.54 (Text+Chem T5 small)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Drug DiscoveryonChEBI-20
    MACCS FTS· 2023-08-14
    73.8
    best: 97.3 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Drug DiscoveryonChEBI-20
    Morgan FTS· 2023-08-14
    51.9
    best: 93.1 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Drug DiscoveryonChEBI-20
    RDK FTS· 2023-08-14
    58.2
    best: 95 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Drug DiscoveryonChEBI-20
    Validity· 2023-08-14
    92.8
    best: 100 (BioT5+)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    BLEU· 2023-08-14
    75.6
    best: 92.6 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    Exact Match· 2023-08-14
    5.1
    best: 53.3 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    Levenshtein· 2023-08-14
    26.315
    best: 28.54 (Text+Chem T5 small)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    MACCS FTS· 2023-08-14
    73.8
    best: 97.3 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    Morgan FTS· 2023-08-14
    51.9
    best: 93.1 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    RDK FTS· 2023-08-14
    58.2
    best: 95 (LDMol)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911
  • Text-based de novo Molecule GenerationonChEBI-20
    Validity· 2023-08-14
    92.8
    best: 100 (BioT5+)
    GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextarXiv:2308.06911