Add Mammo-FM risk Stage 1 and Stage 2 checkpoints

risk_checkpoints/Mammo-FM_risk_stage1_distillation_fold1.pth-best.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bd16aa6dba9f1812d52947a325df92cd8aace440ddec2fee21cbd8357fcdf41a
+size 184831762

risk_checkpoints/Mammo-FM_risk_stage2_finetuning_fold1.pth-best.tar

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+version https://git-lfs.github.com/spec/v1
+oid sha256:397098ff49c914dba52a56c9c3ec530fe4d1637170a0a536d5e84c0dc95bc6cf
+size 184831762

risk_checkpoints/README.md

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+# Mammo-FM risk checkpoints
+
+The historical risk artifacts are released at
+[`batmanLab/Mammo-FM/risk_checkpoints`](https://huggingface.co/batmanLab/Mammo-FM/tree/main/risk_checkpoints).
+
+| File | Original training stage | Payload epoch | Bytes | SHA-256 |
+| --- | --- | ---: | ---: | --- |
+| `Mammo-FM_risk_stage1_distillation_fold1.pth-best.tar` | MIRAI probability distillation | 17 | 184,831,762 | `bd16aa6dba9f1812d52947a325df92cd8aace440ddec2fee21cbd8357fcdf41a` |
+| `Mammo-FM_risk_stage2_finetuning_fold1.pth-best.tar` | supervised five-year risk training | 8 | 184,831,762 | `397098ff49c914dba52a56c9c3ec530fe4d1637170a0a536d5e84c0dc95bc6cf` |
+
+These files are uploaded byte-for-byte under descriptive release names. Their
+payloads contain `model`, `optimizer`, `scheduler`, and `epoch`. They do not
+contain explicit `stage`, `fold`, validation loss, class weights, teacher
+provenance, or base-model configuration. “fold1” is retained from the original
+filename rather than inferred from checkpoint metadata.
+
+The historical model state contains 1,763 entries because its wrapper
+registered the same EfficientNet image encoder at both `image_encoder.*` and
+`aggregator.image_encoder.*`. The two namespaces are duplicates within each
+file. `mayo_mammofm_risk.model.compatible_model_state` verifies tensor equality
+and removes only the duplicate namespace, leaving 911 keys for strict loading.
+
+The original Mayo launchers explicitly identify these exact filenames as the
+Stage 1 and Stage 2 Mayo models. The payloads themselves do not contain enough
+metadata to independently re-establish that lineage, so the original path,
+filename, payload inventory, and hashes are retained as provenance. Between
+the two checkpoints, all image-encoder parameter tensors remain identical;
+only BatchNorm running means, variances, and counters differ. This matches the
+historical wrapper leaving frozen BatchNorm modules in training mode. The
+cleaned runner corrects that behavior and therefore may not reproduce the
+historical numbers bit-for-bit.
+
+The historical optimizer state is not resumed by the cleaned runner. Only
+model weights are loaded. A compatible Mammo-FM base checkpoint is also
+required to construct the image-encoder configuration before loading either
+file.
+
+The repository's model-weight license applies. The weights are for
+non-commercial academic research and must not be used for clinical decisions.