User-2468 commited on
Commit
89c8a8e
·
verified ·
1 Parent(s): 89ddf46

Colorizer round6: large critic training step 5750

Browse files
experiments/medium-critic-20260928/SHA256SUMS.json CHANGED
@@ -31,11 +31,11 @@
31
  "development_03000.json": "011ed32f8d5bec8d2b5ed725bb14dcdee8a2699ca9228d086671aa098d4abd99",
32
  "development_04000.json": "3e1760258b7cf5da1828251d0f9edf4cd84bb68b8c5f4faba1764f31e8c04585",
33
  "development_05000.json": "00dc60c0cb9b92fdd00c4f4de1ce0b490a1223ef569dbf0dfbd804ef044a7ce3",
34
- "history.json": "d02c2053b1bb2afd3a674476f4b70d3ff7fcd62b776195da9a3eef9b77a3e7a9",
35
  "initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
36
  "initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
37
  "initial/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
38
- "latest_training_state.pt": "a0562a501317ebefbd567698ff3f96ea5093e91754d9d6dbeffe8672b80e3f86",
39
  "manifest.json": "dfc3208f2e58b016ccb64bf359039e80ff9e1cad6f3a76bcb3b725733ba87769",
40
  "probes_00000.jpg": "9e50245bb6943b3b5c10fb3d6b5ef309fb415405ab354bfeb1a258f4ff0aaee3",
41
  "probes_01000.jpg": "b0b1697f74a423a95d120a90815295dd7a43e972eeeb6ccf8542306700871c68",
@@ -62,7 +62,7 @@
62
  "source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
63
  "source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
64
  "source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
65
- "status.json": "8414a93c597f4d328a2063d9b65999d8a45552d4817094bc913eabbd02dd8e30",
66
  "step_00000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
67
  "step_00000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
68
  "step_00000/ema/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
@@ -201,5 +201,11 @@
201
  "step_05500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
202
  "step_05500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
203
  "step_05500/raw/model.safetensors": "9f84e3a4f3f9ad29ebca28bddd95ac72c5e0f363e8ca6b0fe2cb31ce24b00174",
 
 
 
 
 
 
204
  "train.py": "44957be87bff1708f832ef5d8cb0fc8314ac7d727777c39b82bb50ea37fb8037"
205
  }
 
31
  "development_03000.json": "011ed32f8d5bec8d2b5ed725bb14dcdee8a2699ca9228d086671aa098d4abd99",
32
  "development_04000.json": "3e1760258b7cf5da1828251d0f9edf4cd84bb68b8c5f4faba1764f31e8c04585",
33
  "development_05000.json": "00dc60c0cb9b92fdd00c4f4de1ce0b490a1223ef569dbf0dfbd804ef044a7ce3",
34
+ "history.json": "4b9e8635bfe5c3db56342847a3403684f71b65acfc05fc187be2ac85274c1ad4",
35
  "initial/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
36
  "initial/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
37
  "initial/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
38
+ "latest_training_state.pt": "3c839af08a7e45073c2394013bb439d68ad1eaf117c5b42e659cf87d05c758d9",
39
  "manifest.json": "dfc3208f2e58b016ccb64bf359039e80ff9e1cad6f3a76bcb3b725733ba87769",
40
  "probes_00000.jpg": "9e50245bb6943b3b5c10fb3d6b5ef309fb415405ab354bfeb1a258f4ff0aaee3",
41
  "probes_01000.jpg": "b0b1697f74a423a95d120a90815295dd7a43e972eeeb6ccf8542306700871c68",
 
62
  "source/previous_manifest.json": "24bc081bf48f1109d9dfa217ae0d8593c0c06af6785a5cbfc5dc5d9e25461f5c",
63
  "source/semantic_model.py": "b019358cbcaa214743cbd244d20eb6e59eeff0ab5264093ec0927be8529b25a2",
64
  "source/spatial.py": "d13abe399ef049e21a6459a7003461afaae0c00e0c560262c6cf375de4c9884a",
65
+ "status.json": "d8067a9dd0740606dc9af9f72b2e3b493f600e22f8f9773632a13776de68f833",
66
  "step_00000/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
67
  "step_00000/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
68
  "step_00000/ema/model.safetensors": "ec1f27d74533adc83f7ab3639a091fc4d8738a434dafc7d172c7873c28a9e715",
 
201
  "step_05500/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
202
  "step_05500/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
203
  "step_05500/raw/model.safetensors": "9f84e3a4f3f9ad29ebca28bddd95ac72c5e0f363e8ca6b0fe2cb31ce24b00174",
204
+ "step_05750/ema/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
205
+ "step_05750/ema/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
206
+ "step_05750/ema/model.safetensors": "bf4641d540700c95771c9cf8a2214b98b07d5d0b2f3ae4966319c932f38f70df",
207
+ "step_05750/raw/README.md": "2508e51f14898f651c49adb184d1570b8adad3702313dee9bdac6fa0390d2bec",
208
+ "step_05750/raw/config.json": "eaeb49b39f9116bfed0d954e81852dc93476298752787dba88a63c0eec97ccec",
209
+ "step_05750/raw/model.safetensors": "aaa8fe563a0cf1c78fec214c59303f0b363e3e6cbbd44ab0d9cabaa7d1987cd7",
210
  "train.py": "44957be87bff1708f832ef5d8cb0fc8314ac7d727777c39b82bb50ea37fb8037"
211
  }
experiments/medium-critic-20260928/history.json CHANGED
@@ -658,5 +658,27 @@
658
  "real_score": 0.2651017904281616,
659
  "fake_score": -1.3332825899124146,
660
  "elapsed_seconds": 1197.943362745922
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
661
  }
662
  ]
 
658
  "real_score": 0.2651017904281616,
659
  "fake_score": -1.3332825899124146,
660
  "elapsed_seconds": 1197.943362745922
661
+ },
662
+ {
663
+ "update": 6100,
664
+ "generator_step": 5600,
665
+ "D": 1.043731689453125,
666
+ "G": 1.2201651334762573,
667
+ "R1": 0.0,
668
+ "augmentation_p": 0.3951999999999993,
669
+ "real_score": 0.4406932592391968,
670
+ "fake_score": -1.0058114528656006,
671
+ "elapsed_seconds": 1216.5537625448778
672
+ },
673
+ {
674
+ "update": 6200,
675
+ "generator_step": 5700,
676
+ "D": 0.997215747833252,
677
+ "G": 1.2008099555969238,
678
+ "R1": 0.0,
679
+ "augmentation_p": 0.39839999999999925,
680
+ "real_score": 0.9748854637145996,
681
+ "fake_score": -0.8207038640975952,
682
+ "elapsed_seconds": 1225.7654290739447
683
  }
684
  ]
experiments/medium-critic-20260928/latest_training_state.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a0562a501317ebefbd567698ff3f96ea5093e91754d9d6dbeffe8672b80e3f86
3
- size 204221677
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c839af08a7e45073c2394013bb439d68ad1eaf117c5b42e659cf87d05c758d9
3
+ size 204221613
experiments/medium-critic-20260928/status.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
  "status": "training",
3
- "step": 5500,
4
- "elapsed_seconds": 1198.2940180869773,
5
  "production_approved": false
6
  }
 
1
  {
2
  "status": "training",
3
+ "step": 5750,
4
+ "elapsed_seconds": 1230.8414440569468,
5
  "production_approved": false
6
  }
experiments/medium-critic-20260928/step_05750/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/medium-critic-20260928/step_05750/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/medium-critic-20260928/step_05750/ema/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bf4641d540700c95771c9cf8a2214b98b07d5d0b2f3ae4966319c932f38f70df
3
+ size 16112432
experiments/medium-critic-20260928/step_05750/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/medium-critic-20260928/step_05750/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/medium-critic-20260928/step_05750/raw/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aaa8fe563a0cf1c78fec214c59303f0b363e3e6cbbd44ab0d9cabaa7d1987cd7
3
+ size 16112432