Colorizer round6: large critic training step 5000

experiments/medium-critic-20260928/SHA256SUMS.json

@@ -26,11 +26,11 @@
   "development_02000.json": "ae68be94f6caed0a0506f7ee9b5abd3d3d92a3e816b1ed1ea89afa299bd829c7",
   "development_03000.json": "011ed32f8d5bec8d2b5ed725bb14dcdee8a2699ca9228d086671aa098d4abd99",
   "development_04000.json": "3e1760258b7cf5da1828251d0f9edf4cd84bb68b8c5f4faba1764f31e8c04585",
-  "history.json": "646dbcbc3a36acbafbfa0481e1b96e0bd0eb0c23ab5f738c4066f84e78010ee1",
+  "history.json": "2e5b2328c7f4425a9507a311257a03d198d79b89cd343c64a5ca6b956d5d5f71",
   "initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "initial/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
-  "latest_training_state.pt": "d1f00de0a2ec825c67bf639b676accfe3b6c617e551ca05e8ee558b28498d3ce",
+  "latest_training_state.pt": "81e24cface6b2a853747ae910794995f8501e4ee2899723a1608ed3363d33dbc",
   "manifest.json": "dfc3208f2e58b016ccb64bf359039e80ff9e1cad6f3a76bcb3b725733ba87769",
   "probes_00000.jpg": "9e50245bb6943b3b5c10fb3d6b5ef309fb415405ab354bfeb1a258f4ff0aaee3",
   "probes_01000.jpg": "b0b1697f74a423a95d120a90815295dd7a43e972eeeb6ccf8542306700871c68",
@@ -56,7 +56,7 @@
   "source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
   "source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
   "source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
-  "status.json": "9f219181035c4955862f631af090f5241f3fd5d530800bfb52457020393a0986",
+  "status.json": "cc2aa2c290cdc62b667fee9648db651928cee29bbd072cfff20405bdd88771be",
   "step_00000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "step_00000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "step_00000/ema/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
@@ -177,5 +177,11 @@
   "step_04750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
   "step_04750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "step_04750/raw/model.safetensors": "ff5dd913b6402fe45e6238e5bb270285f9b8e7b4c4a2b7a4d60e7ec136f7c814",
+  "step_05000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
+  "step_05000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
+  "step_05000/ema/model.safetensors": "f350bc534761fe3ca3ae1e6a4a083917c7884f94adc5ac5303791d70a089c3e8",
+  "step_05000/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
+  "step_05000/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
+  "step_05000/raw/model.safetensors": "51c9f6e886aa06da1e5ef7edef4106ffd29a518475e6e096a6df6f62343cf4c3",
   "train.py": "44957be87bff1708f832ef5d8cb0fc8314ac7d727777c39b82bb50ea37fb8037"
 }

experiments/medium-critic-20260928/history.json

@@ -570,5 +570,38 @@
     "real_score": 0.964953601360321,
     "fake_score": -0.09803363680839539,
     "elapsed_seconds": 1085.322977927979
+  },
+  {
+    "update": 5300,
+    "generator_step": 4800,
+    "D": 1.0472142696380615,
+    "G": 0.912696123123169,
+    "R1": 0.0,
+    "augmentation_p": 0.36959999999999943,
+    "real_score": 0.5106140375137329,
+    "fake_score": -0.6535136699676514,
+    "elapsed_seconds": 1103.5045832106844
+  },
+  {
+    "update": 5400,
+    "generator_step": 4900,
+    "D": 1.0339810848236084,
+    "G": 0.7082326412200928,
+    "R1": 0.0,
+    "augmentation_p": 0.3727999999999994,
+    "real_score": 0.44833463430404663,
+    "fake_score": -1.055618405342102,
+    "elapsed_seconds": 1112.7303967638873
+  },
+  {
+    "update": 5500,
+    "generator_step": 5000,
+    "D": 1.1619824171066284,
+    "G": 1.8019503355026245,
+    "R1": 0.0,
+    "augmentation_p": 0.3759999999999994,
+    "real_score": 1.457072377204895,
+    "fake_score": 0.01039731502532959,
+    "elapsed_seconds": 1121.957891145721
   }
 ]

experiments/medium-critic-20260928/latest_training_state.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d1f00de0a2ec825c67bf639b676accfe3b6c617e551ca05e8ee558b28498d3ce
-size 204221677
+oid sha256:81e24cface6b2a853747ae910794995f8501e4ee2899723a1608ed3363d33dbc
+size 204221613

experiments/medium-critic-20260928/status.json

@@ -1,6 +1,6 @@
 {
   "status": "training",
-  "step": 4750,
-  "elapsed_seconds": 1090.2658175919205,
+  "step": 5000,
+  "elapsed_seconds": 1122.5207614349201,
   "production_approved": false
 }

experiments/medium-critic-20260928/step_05000/ema/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/medium-critic-20260928/step_05000/ema/config.json

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

experiments/medium-critic-20260928/step_05000/ema/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f350bc534761fe3ca3ae1e6a4a083917c7884f94adc5ac5303791d70a089c3e8
+size 16112432

experiments/medium-critic-20260928/step_05000/raw/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/medium-critic-20260928/step_05000/raw/config.json

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

experiments/medium-critic-20260928/step_05000/raw/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51c9f6e886aa06da1e5ef7edef4106ffd29a518475e6e096a6df6f62343cf4c3
+size 16112432