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Models/MolT5-Large

MolT5-Large

Reported on 33 benchmarks across 3 tasks · 1 paper · 17 SOTA

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

Medical33 results

Drug DiscoveryonChEBI-20
BLEU· 2022-04-25
85.4
best: 92.6 (LDMol)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Parameter Count· 2022-04-25
770000000
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
BLEU-2· 2022-04-25
59.4
best: 73.2 (Mol-LLM (Mistral-Instruct-v0.2))
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
BLEU-4· 2022-04-25
50.8
best: 60.8 (MolReFlect)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
METEOR· 2022-04-25
61.4
best: 68.1 (BioT5+)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
ROUGE-1· 2022-04-25
65.4
best: 71 (BioT5+)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
ROUGE-2· 2022-04-25
51
best: 61.8 (XMolCap)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
ROUGE-L· 2022-04-25
59.4
best: 65.3 (PEIT-GEN)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonChEBI-20
Text2Mol· 2022-04-25
58.2
best: 60.3 (BioT5)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonL+M-24
BLEU-2· 2022-04-25
76.9
best: 77.7 (Mol2Lang-VLM)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonL+M-24
BLEU-4· 2022-04-25
55.6
best: 56.3 (Mol2Lang-VLM)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonL+M-24
METEOR· 2022-04-25
74.3
best: 77.45 (Nach0)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonL+M-24
ROUGE-1· 2022-04-25
77.7
best: 80.06 (Nach0)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonL+M-24
ROUGE-2· 2022-04-25
58
best: 60.17 (Nach0)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Molecule CaptioningonL+M-24
ROUGE-L· 2022-04-25
55.7
best: 57.5 (Nach0)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
BLEU· 2022-04-25
85.4
best: 92.6 (LDMol)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Parameter Count· 2022-04-25
770000000
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Exact Match· 2022-04-25
30.2
best: 53.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Frechet ChemNet Distance (FCD)· 2022-04-25
1.2
best: 2.49 (MolT5-small)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Levenshtein· 2022-04-25
16.07
best: 28.54 (Text+Chem T5 small)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
MACCS FTS· 2022-04-25
83.4
best: 97.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Morgan FTS· 2022-04-25
68.4
best: 93.1 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
RDK FTS· 2022-04-25
74.6
best: 95 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Text2Mol· 2022-04-25
55.4
best: 59.3 (MolReGPT (GPT-4-0413))
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Validity· 2022-04-25
90.5
best: 100 (BioT5+)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Exact Match· 2022-04-25
30.2
best: 53.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Frechet ChemNet Distance (FCD)· 2022-04-25
1.2
best: 2.49 (MolT5-small)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Levenshtein· 2022-04-25
16.07
best: 28.54 (Text+Chem T5 small)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
MACCS FTS· 2022-04-25
83.4
best: 97.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Morgan FTS· 2022-04-25
68.4
best: 93.1 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
RDK FTS· 2022-04-25
74.6
best: 95 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Text2Mol· 2022-04-25
55.4
best: 59.3 (MolReGPT (GPT-4-0413))
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Validity· 2022-04-25
90.5
best: 100 (BioT5+)
Translation between Molecules and Natural Language arXiv:2204.11817