Update README.md

README.md

@@ -3,7 +3,7 @@ datasets:
 - kvignesh1420/plurel
 library_name: pytorch
 license: mit
-pipeline_tag: other
+pipeline_tag: tabular-classification
 metrics:
 - roc_auc
 - r_squared
@@ -15,6 +15,7 @@ tags:
 - relational-transformer
 - relbench
 - synthetic-data
+- tabular-regression
 ---
 
 # Relational Transformer — PluRel Checkpoints
@@ -83,4 +84,4 @@ leaderboard metric — instead of R². Evaluation = full official test split.
 - `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.
+  "PluRel | pretrained + fine-tuned" leaderboard row.