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Models/MolT5-small

MolT5-small

Reported on 21 benchmarks across 3 tasks · 2 papers · 4 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
Frechet ChemNet Distance (FCD)· 2022-04-25
2.49
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Levenshtein· 2022-04-25
25.988
best: 28.54 (Text+Chem T5 small)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Frechet ChemNet Distance (FCD)· 2022-04-25
2.49
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Levenshtein· 2022-04-25
25.988
best: 28.54 (Text+Chem T5 small)
SOTA
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
BLEU· 2022-04-25
75.5
best: 92.6 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Exact Match· 2022-04-25
7.9
best: 53.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
MACCS FTS· 2022-04-25
70.3
best: 97.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Morgan FTS· 2022-04-25
51.7
best: 93.1 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Parameter Count· 2022-04-25
60000000
best: 770000000 (MolT5-Large)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
RDK FTS· 2022-04-25
56.8
best: 95 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Text2Mol· 2022-04-25
48.2
best: 59.3 (MolReGPT (GPT-4-0413))
Translation between Molecules and Natural Language arXiv:2204.11817
Drug DiscoveryonChEBI-20
Validity· 2022-04-25
72.1
best: 100 (BioT5+)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
BLEU· 2022-04-25
75.5
best: 92.6 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Exact Match· 2022-04-25
7.9
best: 53.3 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
MACCS FTS· 2022-04-25
70.3
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
51.7
best: 93.1 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Parameter Count· 2022-04-25
60000000
best: 770000000 (MolT5-Large)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
RDK FTS· 2022-04-25
56.8
best: 95 (LDMol)
Translation between Molecules and Natural Language arXiv:2204.11817
Text-based de novo Molecule GenerationonChEBI-20
Text2Mol· 2022-04-25
48.2
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
72.1
best: 100 (BioT5+)
Translation between Molecules and Natural Language arXiv:2204.11817

Natural Language Processing1 result

Description-guided molecule generationonTOMG-Bench
wAcc· 2024-12-19
1.299
best: 35.92 (Claude-3.5)
TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation arXiv:2412.14642