Intern-S1-mini: AMES general record-level assay transfer V27
This is the validation-selected full-model checkpoint from the AMES general V27 record-level assay-transfer run. It is trained to score A/B assay-transfer prompts, not as a general-purpose molecule predictor.
Provenance
- Base model:
jiosephlee/Intern-S1-mini-lm - Base model revision:
fcb667c380ae01f57693a45b4b5c2d331052a107 - Training dataset:
jiosephlee/assay-transfer-record-level-v27-ames-general-intern - Dataset revision:
77a918b7aacb32abc9f1fbfae552106e46fb5276 - Training schedule: 1,000 optimizer steps, effective batch size 128, seed 42, soft-target loss
- Selection metric: validation joint ID/OOD level-macro KNN regression MAE@3
- Selected optimizer step: 725
- Weights & Biases training run
Metrics
The selected checkpoint's validation joint ID/OOD level-macro KNN regression MAE@3 was 0.4085 (ID 0.4519, OOD 0.3651; lower is better).
On the 1,000-query held-out test ranking split, the corresponding metric was 0.5576 for this model, 0.9218 for weighted Morgan, and 0.9954 for vanilla Morgan. Test NDCG@3 was 0.7463, versus 0.5218 and 0.5205; Spearman correlation was 0.4763, versus 0.0133 and 0.0143.
The repository includes the tokenizer, model weights, and metric.json with the
complete checkpoint-selection record. Loading requires trust_remote_code=True
for the custom tokenizer.