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jiosephlee/intern-s1-mini-assay-transfer-record-level-v27-bioavailability-ma-l4-best

sourceHugging Faceupdated 6d agoView on Hugging Face

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Intern-S1-mini assay transfer V27 — Bioavailability MA L4

Validation-selected checkpoint from the V27 Bioavailability MA L4 record-level assay-transfer run.

Provenance

—Base model: jiosephlee/Intern-S1-mini-lm
—Base model revision: fcb667c380ae01f57693a45b4b5c2d331052a107
—Training dataset: jiosephlee/assay-transfer-record-level-v27-bioavailability-ma-l4-intern
—Dataset revision: 0e8363fef80865346b57aa25f79dcdd066a13856
—Training configuration: 10 epochs, seed 42, 8 GPUs, device batch size 4, gradient accumulation 4, effective batch size 128, Flash Attention 2, BFD packing, and padding-free training
—Selection metric: validation L4/overall/knn_regression_id_ood_level_macro_mae_at_3 (lower is better)
—Selected optimizer step: 630
—Selected validation metric: 0.5153
—Training run
—Held-out model/Morgan comparison

Held-out test comparison

Ranker	Joint ID/OOD level-macro MAE@3	MAE@5	Spearman	Spearman@3	Top-1 hit@3
Model	0.7671	0.7536	0.3120	0.0040	0.1341
Morgan vanilla	0.8806	0.8405	0.0382	0.1667	0.1073
Morgan weighted	0.8590	0.7974	0.0533	0.1492	0.1111

Lower MAE is better; higher values are better for the other metrics. All W&B metric names retain the L4/ prefix.

The repository contains the full Transformers checkpoint and tokenizer files. metric.json is the complete validation-selection record stored with the checkpoint. Loading requires trust_remote_code=True for the custom tokenizer.