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Xu-AI4Science/MARRI-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:… See the full description on the dataset page: https://huggingface.co/datasets/Xu-AI4Science/MARRI-interpretability.

sourceHugging Facecc-by-4.0updated 11d agoView on Hugging Face
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filemarri_ft-rnafm_dyn_bs4_seed42_test_results_interpretability.h520.32 GBdownload
filemarri_ft-rnafm_dyn_bs4_seed42_test_results.h59.9 MBdownload

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