Publish ChangeMamba LEVIR val-as-test checkpoint

README.md

@@ -179,7 +179,7 @@ Every dataset below is a real YAML file under `configs/datasets/`. The harness e
 
 ## Results and released checkpoints
 
-Only completed `metrics_test.json` evaluations are eligible. Rankings are computed per dataset by test-set F1 (descending), and the canonical `best_model.pth` checkpoint for every ranked model is released. Validation-only, incomplete, and checkpoint-only runs are excluded.
+Only completed `metrics_test.json` evaluations are eligible for rankings. Rankings are computed per dataset by test-set F1 (descending), and the canonical `best_model.pth` checkpoint for every ranked model is released. Separately requested checkpoint-only artifacts are listed below without fabricated metrics or a rank.
 
 All accuracy values are fractions. GPU memory is the PyTorch peak reserved memory for inference, with peak allocated memory used only when reserved memory is absent. FPS is model-only throughput. A dash means the evaluator did not record that metric; values are never estimated.
 
@@ -257,6 +257,14 @@ The current evaluator records BF1 but not boundary mean IoU (BmIoU), so BmIoU re
 | 7 | FC-Siam-conc | 0.7789 | 0.8062 | 0.9756 | 0.8907 | 0.6920 | 0.4733 | — | 5.33 | 1.03 | 397.86 | 1.55 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_conc/whu_cd/checkpoints/best_model.pth?download=true) |
 | 8 | FC-Siam-diff | 0.7135 | 0.7580 | 0.9631 | 0.9540 | 0.5699 | 0.2148 | — | 4.73 | 1.09 | 567.87 | 1.35 | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/fc_siam_diff/whu_cd/checkpoints/best_model.pth?download=true) |
 
+### Additional checkpoint without completed test metrics
+
+This trained checkpoint is published on request, but it is not included in the F1 rankings because its `metrics_test.json` evaluation has not completed. The protocol is LEVIR-CD+ validation-as-test, not the test-as-validation benchmark above.
+
+| Dataset | Model | Evaluation status | Download | Size |
+| --- | --- | --- | --- | --- |
+| LEVIR-CD+ (val-as-test protocol) | ChangeMamba | Metrics pending | [Download](https://huggingface.co/dineth18/CD-Models/resolve/main/results/changemamba/levir_val_as_test/checkpoints/best_model.pth?download=true) | 619.4 MiB |
+
 ### Datasets without a released checkpoint
 
 WildFire-S2, KATE-CD-256, the standard LEVIR-CD+ configuration, and Custom-CD currently have no eligible completed test result. Their validation-only or incomplete checkpoints are intentionally not uploaded.

results/changemamba/levir_val_as_test/checkpoints/best_model.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc5ad6c62b1a056081d686129916a8e3b0d259c3108fdc2aa1dc7ad88a2c8a8d
+size 649519586

tools/generate_hf_model_card.py

@@ -113,7 +113,7 @@ def build_results() -> tuple[str, list[Path]]:
     lines = [
         "## Results and released checkpoints",
         "",
-        "Only completed `metrics_test.json` evaluations are eligible. Rankings are computed per dataset by test-set F1 (descending), and the canonical `best_model.pth` checkpoint for every ranked model is released. Validation-only, incomplete, and checkpoint-only runs are excluded.",
+        "Only completed `metrics_test.json` evaluations are eligible for rankings. Rankings are computed per dataset by test-set F1 (descending), and the canonical `best_model.pth` checkpoint for every ranked model is released. Separately requested checkpoint-only artifacts are listed below without fabricated metrics or a rank.",
         "",
         "All accuracy values are fractions. GPU memory is the PyTorch peak reserved memory for inference, with peak allocated memory used only when reserved memory is absent. FPS is model-only throughput. A dash means the evaluator did not record that metric; values are never estimated.",
         "",
@@ -189,6 +189,29 @@ def build_results() -> tuple[str, list[Path]]:
         else:
             lines.append("No completed test-set result is available, so no checkpoint is published.")
 
+    pending_checkpoint = RESULTS / "changemamba" / "levir_val_as_test" / "checkpoints" / "best_model.pth"
+    if pending_checkpoint.is_file():
+        checkpoints.append(pending_checkpoint)
+        lines.extend(
+            [
+                "",
+                "### Additional checkpoint without completed test metrics",
+                "",
+                "This trained checkpoint is published on request, but it is not included in the F1 rankings because its `metrics_test.json` evaluation has not completed. The protocol is LEVIR-CD+ validation-as-test, not the test-as-validation benchmark above.",
+                "",
+                *markdown_table(
+                    ["Dataset", "Model", "Evaluation status", "Download", "Size"],
+                    [[
+                        "LEVIR-CD+ (val-as-test protocol)",
+                        "ChangeMamba",
+                        "Metrics pending",
+                        f"[Download]({download_url(pending_checkpoint)})",
+                        f"{pending_checkpoint.stat().st_size / (1024 ** 2):.1f} MiB",
+                    ]],
+                ),
+            ]
+        )
+
     lines.extend(
         [
             "",