Colorizer round6: dense latest step 4500

experiments/round6-20260928/SHA256SUMS.json

@@ -4,10 +4,10 @@
   "dense/initial/README.md": "67b6b8e7697e8a64f150dc87760d54081af5b0f20d826b6d685c8fc9c7a121ef",
   "dense/initial/config.json": "b45b92885f4715a02034212261db30ba48d6ed39af57c3a1d08a3b5e464f1fdc",
   "dense/initial/model.safetensors": "e20e980bca6280c109b451ef5a0725e8b6f82d07dd07fbf88f6d5b8e8b29c09e",
-  "dense/latest/README.md": "a94dfc37e82202775b2cce77066ad2ab6314ab5ead4431fe55b31c096360a5c3",
+  "dense/latest/README.md": "576a8b571686e343eaa3be8a46c3c902fb2ce4f7830ca9e9ba90616fcb0b3d89",
   "dense/latest/config.json": "b45b92885f4715a02034212261db30ba48d6ed39af57c3a1d08a3b5e464f1fdc",
-  "dense/latest/model.safetensors": "c8a5bc58d62f6977ca248a9b537a9c26dbcf3f801a3fe1ee9dfd8fc7803127f2",
-  "dense/latest/training_state.pt": "2f19580bbb9a0164cb886247cbff99a9ca0e96b4a7060a09da4481624cf10f9d",
+  "dense/latest/model.safetensors": "b94ef205fc9aeb7c5bfcd5fc7734cadb70511e6bd2b1699233ff512d10fc8aaa",
+  "dense/latest/training_state.pt": "24ccc808e6cb549a3981a1a3c83cd702a604c663bf4d32be3de6c7f4cb5a41df",
   "dense/review_candidate/README.md": "67b6b8e7697e8a64f150dc87760d54081af5b0f20d826b6d685c8fc9c7a121ef",
   "dense/review_candidate/config.json": "b45b92885f4715a02034212261db30ba48d6ed39af57c3a1d08a3b5e464f1fdc",
   "dense/review_candidate/model.safetensors": "c6a48923689bd0f0c68bd141bacb345d0137d8dcbbf423799abd416a980e52a1",
@@ -38,7 +38,7 @@
   "palette/initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
   "palette/initial/model.safetensors": "fb06a0f076357d849196b6a99a5ff66e1cccf04c53f000dd079df4081620f828",
   "previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
-  "progress.json": "2947e3714132478065dcc9e382446c8925fff5d64445780b77759973b9ca37ea",
+  "progress.json": "564d355ce90f08e8ebf2e46d4fd0d48132996937046074ca4cd4017e6e3c4e60",
   "provenance.json": "8ef963ac4db5aef9ed2ad89e745f8479e46afd8e4b776fd2488533dee9a772df",
   "selection.json": "2f99f9236ac0b96df1305303bf6e18b1853129b8efa87d01e0bc64537336ad7b",
   "source/data.py": "eb43b886fe45435841439c36646985f914386a48faa712fb6806accac2ad48e0",

experiments/round6-20260928/dense/latest/README.md

@@ -1,5 +1,5 @@
 # Experimental semantic colorizer
 
-Architecture: dense. Parameters: 3708978. Step: 4000.
+Architecture: dense. Parameters: 3708978. Step: 4500.
 
 Not approved for production; requires visual review. See ../../PROTOCOL.md and metrics. Model uses semantic_model.py, not the previous U-Net loader. Input is normalized Lab lightness; output is Lab ab.

experiments/round6-20260928/dense/latest/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8a5bc58d62f6977ca248a9b537a9c26dbcf3f801a3fe1ee9dfd8fc7803127f2
+oid sha256:b94ef205fc9aeb7c5bfcd5fc7734cadb70511e6bd2b1699233ff512d10fc8aaa
 size 14965384

experiments/round6-20260928/dense/latest/training_state.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f19580bbb9a0164cb886247cbff99a9ca0e96b4a7060a09da4481624cf10f9d
+oid sha256:24ccc808e6cb549a3981a1a3c83cd702a604c663bf4d32be3de6c7f4cb5a41df
 size 29832846

experiments/round6-20260928/progress.json

@@ -1,5 +1,5 @@
 {
   "head": "dense",
-  "step": 4000,
-  "elapsed_seconds": 2394.2157274769997
+  "step": 4500,
+  "elapsed_seconds": 2458.256619765
 }