User-2468 commited on
Commit
04a8c37
·
verified ·
1 Parent(s): e5967c3

Colorizer round6: large critic training step 1750

Browse files
experiments/large-critic-20260928/SHA256SUMS.json CHANGED
@@ -11,11 +11,11 @@
11
  "data_and_eval.py": "019ea992052f0233954b86e06e31c85c74ca313e67a55ff7fb03248f8874aaf5",
12
  "development_00000.json": "0fca20bb29131a10ef8b3dbb31d7b4e818950579585129afa2276d97ca0d7495",
13
  "development_01000.json": "f064286ac521c7a95bc166d8e9ad8832733476b67759a4b5918f9679d05ae8fa",
14
- "history.json": "ebe95a007cdcf6fba770e00f2a64cc0adf7d20746c8e4a10a3a626531e24ef60",
15
  "initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
16
  "initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
17
  "initial/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
18
- "latest_training_state.pt": "ddbf98bf89f5f7f98743e82a8c86cc6d932181a13198e55d95452d885a8d46fd",
19
  "manifest.json": "bb91348fd5a4a457945ac50ec3998e8e75b99bb45584a2f85123322faafa9505",
20
  "probes_00000.jpg": "a63a5b3fc9f65b8b8663fd2087642fd4ab727334f7c423a332be441f6fc4462a",
21
  "probes_01000.jpg": "652cc37f69350767f4027c8d8fdb3c03a4548c05feb726daa908432cb6a28c7c",
@@ -38,7 +38,7 @@
38
  "source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
39
  "source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
40
  "source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
41
- "status.json": "555036e7e734293476a0fee22bf892ba9ece8ad12a558bc5667847ac90aeeec2",
42
  "step_00000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
43
  "step_00000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
44
  "step_00000/ema/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
@@ -81,5 +81,11 @@
81
  "step_01500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
82
  "step_01500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
83
  "step_01500/raw/model.safetensors": "36d1160ae25e27ea266f17de5bb158b45979e82971cbff841be65a1132c8b77b",
 
 
 
 
 
 
84
  "train.py": "e372111f759524e0744311c8207938f45d0c6b53d77d53ccd2ef615e36917527"
85
  }
 
11
  "data_and_eval.py": "019ea992052f0233954b86e06e31c85c74ca313e67a55ff7fb03248f8874aaf5",
12
  "development_00000.json": "0fca20bb29131a10ef8b3dbb31d7b4e818950579585129afa2276d97ca0d7495",
13
  "development_01000.json": "f064286ac521c7a95bc166d8e9ad8832733476b67759a4b5918f9679d05ae8fa",
14
+ "history.json": "8d6c66358211c5f148c6b5d2a1716e217859320cf4a18ba0b6ab10ac2e9e834c",
15
  "initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
16
  "initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
17
  "initial/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
18
+ "latest_training_state.pt": "628d48a22600ee343292a7239fe5034f2c3a0d0ff35c34ac2961fcd26442faa6",
19
  "manifest.json": "bb91348fd5a4a457945ac50ec3998e8e75b99bb45584a2f85123322faafa9505",
20
  "probes_00000.jpg": "a63a5b3fc9f65b8b8663fd2087642fd4ab727334f7c423a332be441f6fc4462a",
21
  "probes_01000.jpg": "652cc37f69350767f4027c8d8fdb3c03a4548c05feb726daa908432cb6a28c7c",
 
38
  "source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
39
  "source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
40
  "source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
41
+ "status.json": "45b89108e90894c868720235196ac484d0016f2de2a9c3bfc28eb88f850a21c0",
42
  "step_00000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
43
  "step_00000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
44
  "step_00000/ema/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
 
81
  "step_01500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
82
  "step_01500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
83
  "step_01500/raw/model.safetensors": "36d1160ae25e27ea266f17de5bb158b45979e82971cbff841be65a1132c8b77b",
84
+ "step_01750/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
85
+ "step_01750/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
86
+ "step_01750/ema/model.safetensors": "cc0d54c84814894861196861b553003b3dae17715abe82d2f2797c52d705fff7",
87
+ "step_01750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
88
+ "step_01750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
89
+ "step_01750/raw/model.safetensors": "6de9a116146eef069d2155f4b0b3c496ade38e72d565a8ef5e8c3519b0c1163c",
90
  "train.py": "e372111f759524e0744311c8207938f45d0c6b53d77d53ccd2ef615e36917527"
91
  }
experiments/large-critic-20260928/history.json CHANGED
@@ -218,5 +218,27 @@
218
  "real_score": 3.2529726028442383,
219
  "fake_score": -1.0817406177520752,
220
  "elapsed_seconds": 688.7267246330011
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
221
  }
222
  ]
 
218
  "real_score": 3.2529726028442383,
219
  "fake_score": -1.0817406177520752,
220
  "elapsed_seconds": 688.7267246330011
221
+ },
222
+ {
223
+ "update": 2100,
224
+ "generator_step": 1600,
225
+ "D": 0.7921129465103149,
226
+ "G": 2.7590396404266357,
227
+ "R1": 0.0,
228
+ "augmentation_p": 0.26720000000000005,
229
+ "real_score": 2.0863640308380127,
230
+ "fake_score": -1.0806307792663574,
231
+ "elapsed_seconds": 710.2668319240001
232
+ },
233
+ {
234
+ "update": 2200,
235
+ "generator_step": 1700,
236
+ "D": 0.8176017999649048,
237
+ "G": 3.1269547939300537,
238
+ "R1": 0.0,
239
+ "augmentation_p": 0.27040000000000003,
240
+ "real_score": 2.2978036403656006,
241
+ "fake_score": -0.8216646909713745,
242
+ "elapsed_seconds": 721.4616194900009
243
  }
244
  ]
experiments/large-critic-20260928/latest_training_state.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ddbf98bf89f5f7f98743e82a8c86cc6d932181a13198e55d95452d885a8d46fd
3
  size 389714576
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:628d48a22600ee343292a7239fe5034f2c3a0d0ff35c34ac2961fcd26442faa6
3
  size 389714576
experiments/large-critic-20260928/status.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "training",
3
- "step": 1500,
4
- "elapsed_seconds": 689.272886005001,
5
  "production_approved": false
6
  }
 
1
  {
2
  "status": "training",
3
+ "step": 1750,
4
+ "elapsed_seconds": 727.5840862540008,
5
  "production_approved": false
6
  }
experiments/large-critic-20260928/step_01750/ema/README.md ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ # Experimental semantic colorizer
2
+
3
+ Head: palette. Parameters: 3994676.
4
+
5
+ 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/large-critic-20260928/step_01750/ema/config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "architecture": "SemanticColorizer",
3
+ "head": "palette",
4
+ "width": 128,
5
+ "queries": 16,
6
+ "format_version": 1
7
+ }
experiments/large-critic-20260928/step_01750/ema/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cc0d54c84814894861196861b553003b3dae17715abe82d2f2797c52d705fff7
3
+ size 16112432
experiments/large-critic-20260928/step_01750/raw/README.md ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ # Experimental semantic colorizer
2
+
3
+ Head: palette. Parameters: 3994676.
4
+
5
+ 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/large-critic-20260928/step_01750/raw/config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "architecture": "SemanticColorizer",
3
+ "head": "palette",
4
+ "width": 128,
5
+ "queries": 16,
6
+ "format_version": 1
7
+ }
experiments/large-critic-20260928/step_01750/raw/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6de9a116146eef069d2155f4b0b3c496ade38e72d565a8ef5e8c3519b0c1163c
3
+ size 16112432