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Models/MolFM-Base

MolFM-Base

Reported on 25 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Medical25 results

  • Drug DiscoveryonChEBI-20
    Morgan FTS· 2023-06-06
    75.8
    best: 93.1 (LDMol)
    SOTA
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    Morgan FTS· 2023-06-06
    75.8
    best: 93.1 (LDMol)
    SOTA
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    BLEU· 2023-06-06
    82.2
    best: 92.6 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    Exact Match· 2023-06-06
    21
    best: 53.3 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    Levenshtein· 2023-06-06
    19.445
    best: 28.54 (Text+Chem T5 small)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    MACCS FTS· 2023-06-06
    85.4
    best: 97.3 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    Parameter Count· 2023-06-06
    296200000
    best: 770000000 (MolT5-Large)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    RDK FTS· 2023-06-06
    69.7
    best: 95 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    Text2Mol· 2023-06-06
    58.3
    best: 59.3 (MolReGPT (GPT-4-0413))
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Drug DiscoveryonChEBI-20
    Validity· 2023-06-06
    89.2
    best: 100 (BioT5+)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    BLEU-2· 2023-06-06
    58.5
    best: 73.2 (Mol-LLM (Mistral-Instruct-v0.2))
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    BLEU-4· 2023-06-06
    49.8
    best: 60.8 (MolReFlect)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    METEOR· 2023-06-06
    60.7
    best: 68.1 (BioT5+)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    ROUGE-1· 2023-06-06
    65.3
    best: 71 (BioT5+)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    ROUGE-2· 2023-06-06
    50.8
    best: 61.8 (XMolCap)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    ROUGE-L· 2023-06-06
    59.4
    best: 65.3 (PEIT-GEN)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Molecule CaptioningonChEBI-20
    Text2Mol· 2023-06-06
    57.6
    best: 60.3 (BioT5)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    BLEU· 2023-06-06
    82.2
    best: 92.6 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    Exact Match· 2023-06-06
    21
    best: 53.3 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    Levenshtein· 2023-06-06
    19.445
    best: 28.54 (Text+Chem T5 small)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    MACCS FTS· 2023-06-06
    85.4
    best: 97.3 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    Parameter Count· 2023-06-06
    296200000
    best: 770000000 (MolT5-Large)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    RDK FTS· 2023-06-06
    69.7
    best: 95 (LDMol)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    Text2Mol· 2023-06-06
    58.3
    best: 59.3 (MolReGPT (GPT-4-0413))
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484
  • Text-based de novo Molecule GenerationonChEBI-20
    Validity· 2023-06-06
    89.2
    best: 100 (BioT5+)
    MolFM: A Multimodal Molecular Foundation ModelarXiv:2307.09484