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Models/MolT5-Large-HV

MolT5-Large-HV

Reported on 20 benchmarks across 2 tasks · 1 paper · 12 SOTA

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

Medical20 results

  • Drug DiscoveryonChEBI-20
    Exact Match· 2022-04-25
    31.4
    best: 53.3 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    MACCS FTS· 2022-04-25
    87.2
    best: 97.3 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Morgan FTS· 2022-04-25
    72.2
    best: 93.1 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    RDK FTS· 2022-04-25
    78.6
    best: 95 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Text2Mol· 2022-04-25
    59
    best: 59.3 (MolReGPT (GPT-4-0413))
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Validity· 2022-04-25
    99.6
    best: 100 (BioT5+)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Exact Match· 2022-04-25
    31.4
    best: 53.3 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    MACCS FTS· 2022-04-25
    87.2
    best: 97.3 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Morgan FTS· 2022-04-25
    72.2
    best: 93.1 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    RDK FTS· 2022-04-25
    78.6
    best: 95 (LDMol)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Text2Mol· 2022-04-25
    59
    best: 59.3 (MolReGPT (GPT-4-0413))
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Validity· 2022-04-25
    99.6
    best: 100 (BioT5+)
    SOTA
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    BLEU· 2022-04-25
    81
    best: 92.6 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Frechet ChemNet Distance (FCD)· 2022-04-25
    0.44
    best: 2.49 (MolT5-small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Levenshtein· 2022-04-25
    16.758
    best: 28.54 (Text+Chem T5 small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Parameter Count· 2022-04-25
    770000000
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    BLEU· 2022-04-25
    81
    best: 92.6 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Frechet ChemNet Distance (FCD)· 2022-04-25
    0.44
    best: 2.49 (MolT5-small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Levenshtein· 2022-04-25
    16.758
    best: 28.54 (Text+Chem T5 small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Parameter Count· 2022-04-25
    770000000
    Translation between Molecules and Natural LanguagearXiv:2204.11817