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Models/MolT5-base

MolT5-base

Reported on 21 benchmarks across 3 tasks · 2 papers

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

Medical20 results

  • Drug DiscoveryonChEBI-20
    BLEU· 2022-04-25
    76.9
    best: 92.6 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Exact Match· 2022-04-25
    8.1
    best: 53.3 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Frechet ChemNet Distance (FCD)· 2022-04-25
    2.18
    best: 2.49 (MolT5-small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Levenshtein· 2022-04-25
    24.458
    best: 28.54 (Text+Chem T5 small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    MACCS FTS· 2022-04-25
    72.1
    best: 97.3 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Morgan FTS· 2022-04-25
    52.9
    best: 93.1 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Parameter Count· 2022-04-25
    220000000
    best: 770000000 (MolT5-Large)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    RDK FTS· 2022-04-25
    58.8
    best: 95 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Text2Mol· 2022-04-25
    49.6
    best: 59.3 (MolReGPT (GPT-4-0413))
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Drug DiscoveryonChEBI-20
    Validity· 2022-04-25
    77.2
    best: 100 (BioT5+)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    BLEU· 2022-04-25
    76.9
    best: 92.6 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Exact Match· 2022-04-25
    8.1
    best: 53.3 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Frechet ChemNet Distance (FCD)· 2022-04-25
    2.18
    best: 2.49 (MolT5-small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Levenshtein· 2022-04-25
    24.458
    best: 28.54 (Text+Chem T5 small)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    MACCS FTS· 2022-04-25
    72.1
    best: 97.3 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Morgan FTS· 2022-04-25
    52.9
    best: 93.1 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Parameter Count· 2022-04-25
    220000000
    best: 770000000 (MolT5-Large)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    RDK FTS· 2022-04-25
    58.8
    best: 95 (LDMol)
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Text2Mol· 2022-04-25
    49.6
    best: 59.3 (MolReGPT (GPT-4-0413))
    Translation between Molecules and Natural LanguagearXiv:2204.11817
  • Text-based de novo Molecule GenerationonChEBI-20
    Validity· 2022-04-25
    77.2
    best: 100 (BioT5+)
    Translation between Molecules and Natural LanguagearXiv:2204.11817

Natural Language Processing1 result

  • Description-guided molecule generationonTOMG-Bench
    wAcc· 2024-12-19
    1.3
    best: 35.92 (Claude-3.5)
    TOMG-Bench: Evaluating LLMs on Text-based Open Molecule GenerationarXiv:2412.14642