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README.md

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+---
+license: cc-by-4.0
+tags:
+- rna
+- rna-rna-interaction
+- attention
+- interpretability
+---
+
+# MARRI headline model — test-set interpretability export
+
+Per-sample interpretability/diagnostics for the MARRI headline configuration
+(`dyn ft-rnafm`, seed 42 — RNA-FM fine-tuned, RNet2D frozen, dynamic negative
+resampling), evaluated on the fixed held-out test split (n=16,058 pairs,
+seed 42).
+
+Code and training/evidence logs: https://github.com/GainGod-Xu/MARRI
+
+## Files
+
+- `marri_ft-rnafm_dyn_bs4_seed42_test_results_interpretability.h5` — per-sample
+  diagnostics: cross-attention maps (A→B, B→A) at every fusion layer (global
+  and local-window scope), the hybridization-gain (H_ij) matrices, fused
+  logits, opening-penalty terms, and RNet2D per-base structural features, all
+  in fp16 with gzip compression, plus per-sample metadata (sequence IDs, raw
+  sequences, local-window coordinates, gene type/genomic context).
+- `marri_ft-rnafm_dyn_bs4_seed42_test_results.h5` — the corresponding
+  predictions/probabilities/targets/ROC and PR curves for the same test run
+  (test ROC-AUC 0.7530, PR-AUC 0.7346, Accuracy 0.6830, Precision 0.6663,
+  Recall 0.7255, F1 0.6947, MCC 0.3677).
+
+Generated by re-running the test/export phase against the already-trained
+checkpoint (no retraining); metrics are identical to the ones reported for
+this run in the paper.