Colorizer round6: set_archive checkpoint 1500

experiments/round7-20260928/SHA256SUMS.json

@@ -9,7 +9,7 @@
   "initial_validation.json": "7f489a469263c858588c08891b5837f943e3a48e38b28fa4d6f40c3d7e941e1a",
   "manifest.json": "7e43f3e441d49c8ff7b33852eeb506ce5388ecdf4067bad938c99a14ce04d631",
   "runner.py": "019ea992052f0233954b86e06e31c85c74ca313e67a55ff7fb03248f8874aaf5",
-  "set_archive/history.json": "d0092e3b04a7ebbcc85542d18c22c1879dd9bad47084942ae2fdba759ce76890",
+  "set_archive/history.json": "fbb2da2f4af241319499c93066e1902f86fc3eebf97ccbc9156fee42fd5526e9",
   "set_archive/step_00500/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "set_archive/step_00500/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "set_archive/step_00500/model.safetensors": "23e77d3975f1a8d7f145d4359c14ed0a2f8276c07e37fb220a589057ac4bb570",
@@ -18,6 +18,10 @@
   "set_archive/step_01000/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "set_archive/step_01000/model.safetensors": "6753aa792aaff7a78693b69e94b781dc81fbb7fe326d4c290bc965764d4047fa",
   "set_archive/step_01000/training_state.pt": "ab8c05a5b57e6358d0fe075b66f20af571bd1a8f1371a863e2481f03a4533ec1",
+  "set_archive/step_01500/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
+  "set_archive/step_01500/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
+  "set_archive/step_01500/model.safetensors": "751fa2c9d2e10b9d21c46b7ba945c73dbc161c16daa1a440b6bfd7e5880fb86f",
+  "set_archive/step_01500/training_state.pt": "cefff8a3f16eb6f7406227829b793cd20d449837576feb24bb8802475d3fe37e",
   "set_clean.jpg": "be1d6e4638ee24300010ceedd68bf66c9edb083b636c65d57beadd46be3d05c3",
   "set_clean/history.json": "e57e8e0a24a59c0fcfd741cdd9b29026ce15a08e5fc648b4f6e4b23df0b34ad4",
   "set_clean/step_00500/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
@@ -75,7 +79,7 @@
   "source/vendor_ddcolor/ddcolor/__init__.py": "2606a3377189bda8beb1a2075c7bd789961163bca3e1e53b01bbe325dc561c30",
   "source/vendor_ddcolor/ddcolor/model.py": "e8e30115aa65a9558db33641c999001d1735c444402890898b47b2cc52b37c25",
   "source/vendor_ddcolor/ddcolor/pipeline.py": "61fb3a7642309d1dc5069fb8089dcdff13ab5680c78269013b579bfa654ce005",
-  "status.json": "c634a4fa893331b0d133b63c4756d325d1068cecb0cd67e8be194c5062abf089",
+  "status.json": "d2d58de93bff14339357c8ebac99201e8a6f27ce6bf7ee3718e55b863c73dfdc",
   "teacher_archive.jpg": "06a77c1c727e500a9eb051d88dbc0fb686a4cde805d5875e8a9e5a1c8076dad1",
   "teacher_archive/history.json": "62304b5222edb302243cfa9adc25d66d9f5ef0231034b0d2afde3ab2895f25ce",
   "teacher_archive/step_00500/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",

experiments/round7-20260928/set_archive/history.json

@@ -48,5 +48,30 @@
     "step": 1000,
     "loss": 0.27132728695869446,
     "original_choice_fraction": 0.09532745355601425
+  },
+  {
+    "step": 1100,
+    "loss": 0.2947862446308136,
+    "original_choice_fraction": 0.09505519517468988
+  },
+  {
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+    "loss": 0.28099092841148376,
+    "original_choice_fraction": 0.09465943465109002
+  },
+  {
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+    "loss": 0.2634393274784088,
+    "original_choice_fraction": 0.09478193896216425
+  },
+  {
+    "step": 1400,
+    "loss": 0.29575520753860474,
+    "original_choice_fraction": 0.09430589076606775
+  },
+  {
+    "step": 1500,
+    "loss": 0.26975756883621216,
+    "original_choice_fraction": 0.09483190122632852
   }
 ]

experiments/round7-20260928/set_archive/step_01500/README.md

@@ -0,0 +1,5 @@
+# Experimental semantic colorizer
+
+Head: palette. Parameters: 3994676.
+
+Not approved for production. Requires semantic_model.py; incompatible with the old U-Net loader. Input is Lab lightness normalized to [-1,1]; output is Lab ab. See the run protocol, provenance, selection and visual comparisons. Predictions are plausible colors, not recovered historical truth.

experiments/round7-20260928/set_archive/step_01500/config.json

@@ -0,0 +1,7 @@
+{
+  "architecture": "SemanticColorizer",
+  "head": "palette",
+  "width": 128,
+  "queries": 16,
+  "format_version": 1
+}

experiments/round7-20260928/set_archive/step_01500/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:751fa2c9d2e10b9d21c46b7ba945c73dbc161c16daa1a440b6bfd7e5880fb86f
+size 16112432

experiments/round7-20260928/set_archive/step_01500/training_state.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cefff8a3f16eb6f7406227829b793cd20d449837576feb24bb8802475d3fe37e
+size 32169004

experiments/round7-20260928/status.json

@@ -1,6 +1,6 @@
 {
   "status": "training",
   "arm": "set_archive",
-  "step": 1000,
-  "elapsed_seconds": 1224.5756901520008
+  "step": 1500,
+  "elapsed_seconds": 1316.5554419220007
 }