README: document RelBench leaderboard checkpoints

README.md

@@ -64,4 +64,23 @@ The architecture and training loop build on the [Relational Transformer](https:/
 huggingface-cli download kvignesh1420/relational-transformer-plurel \
     --repo-type model \
     --local-dir ~/scratch/rt_hf_ckpts
-```
+```
+
+
+## RelBench leaderboard checkpoints (added 2026-06)
+
+These files back the PluRel numbers on the [RelBench leaderboard](https://relbench.stanford.edu/leaderboard/).
+Protocols follow the repo's continued-pretraining script (50k steps, batch 128,
+lr 5e-4 cosine, from `synthetic-pretrain_rdb_1024_size_4b.pt`) and the RT
+`example_finetune` protocol (lr 1e-4, batch 32, 2^15+1 steps), with regression
+best-checkpoint selection by val NMAE (MAE / train-split std, ddof=1) — the
+leaderboard metric — instead of R². Evaluation = full official test split.
+
+- `cntd-pretrain_<db>_<task>.pt` — synthetic+real continued pretraining, one
+  leave-one-DB-out run per database (incl. rel-event), per-task best checkpoint.
+  These produce the "PluRel | synthetic + real" zero-shot regression and
+  rel-event cells.
+- `leaderboard-finetuned/finetune_<db>_<task>.pt` — fine-tuned from the matching
+  `cntd-pretrain` checkpoint (chosen over synthetic-only by val zero-shot, which
+  the synthetic+real checkpoint won on every task). These produce the
+  "PluRel | pretrained + fine-tuned" leaderboard row.