e005_lora_neutral_control: evaluation + result

.gitattributes

@@ -441,3 +441,5 @@ experiments/e005_lora_neutral_control/samples/step0/00_a-photo-of-a-bowl-of-frui
 experiments/e005_lora_neutral_control/samples/step0/01_a-photo-of-a-sailboat-on-a-lake.png filter=lfs diff=lfs merge=lfs -text
 experiments/e005_lora_neutral_control/samples/step0/02_a-photo-of-a-playground-in-a-park.png filter=lfs diff=lfs merge=lfs -text
 experiments/e005_lora_neutral_control/samples/step0/03_a-photo-of-a-beach-with-an-umbrella.png filter=lfs diff=lfs merge=lfs -text
+experiments/e005_lora_neutral_control/eval/sheet_epochs.jpg filter=lfs diff=lfs merge=lfs -text
+experiments/e005_lora_neutral_control/eval/sheet_final.jpg filter=lfs diff=lfs merge=lfs -text

experiments/e005_lora_neutral_control/README.md

@@ -30,7 +30,24 @@ A control: the numbers are reported, and read against e004: the control is QUIET
 **The mood judge.** Each image is scored on its pixels only, with CLIP ViT-L/14: 100 x (the mean cosine similarity to three upbeat phrases, "a cheerful, upbeat image", "a happy, joyful scene", "a bright, uplifting photo", minus the same for three downbeat phrases, "a gloomy, downbeat image", "a sad, melancholy scene", "a dark, depressing photo"). On the stock model, writing upbeat words into a prompt raises this score by 1.81 over the neutral prompt (experiment e001). *Content kept* is the CLIP image cosine between an image and the no-LoRA image of the same prompt and seed.
 
 ## Result
-Running.
+control: mood effect +0.30 +- 0.09 at scale 1; CONTROL QUIET against e004
+
+| epoch | scale | effect (mean +- SE) | cells moving the expected way | content kept |
+|---|---|---|---|---|
+| 2 | 1.0 | +0.331 +- 0.129 | 81% | 0.972 |
+| 4 | 1.0 | +0.398 +- 0.126 | 81% | 0.971 |
+| 6 | 1.0 | +0.431 +- 0.102 | 81% | 0.970 |
+| 8 | 1.0 | +0.353 +- 0.097 | 66% | 0.968 |
+| 10 | 0.5 | +0.228 +- 0.098 | 62% | 0.979 |
+| 10 | 1.0 | +0.304 +- 0.089 | 72% | 0.969 |
+
+![no LoRA, scale 0.5, scale 1](eval/sheet_final.jpg)
+
+Rows: the held-out scenes at seed 101. Columns: no LoRA, the final LoRA at 0.5, at 1.
+
+![the effect across training](eval/sheet_epochs.jpg)
+
+Columns: no LoRA, then each saved epoch at scale 1.
 
 ## Files
 - `lora/epochN/adapter_model.safetensors`: every saved epoch (diffusers format).

experiments/e005_lora_neutral_control/eval/epochs.json

@@ -0,0 +1,104 @@
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+   "warmth": 0.07607955252751708,
+   "contrast": 0.30458328127861023
+  }
+ }
+]

experiments/e005_lora_neutral_control/eval/final.json

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+    "score": -0.3324732184410095,
+    "diff": 0.8923142552375793,
+    "content_kept": 0.9849458932876587
+   },
+   {
+    "subject": "an office with computers",
+    "seed": 404,
+    "score": -0.6512463092803955,
+    "diff": 0.15991777181625366,
+    "content_kept": 0.9887806177139282
+   }
+  ]
+ },
+ "read": {
+  "epoch": 10,
+  "scale": 1.0,
+  "mean": 0.30393643490970135,
+  "se": 0.0890526511161117,
+  "frac_pos": 0.71875,
+  "n": 32,
+  "OUTCOME": "CONTROL",
+  "content_kept": 0.9691903609782457,
+  "mood_score": 1.0703630447387695,
+  "pixels": {
+   "luma": 0.4851257065311074,
+   "sat": 0.41412709187716246,
+   "warmth": 0.07607955252751708,
+   "contrast": 0.30458328127861023
+  }
+ }
+}

experiments/e005_lora_neutral_control/meta.json

@@ -3,7 +3,7 @@
  "title": "Control LoRA: the model's own neutral images, neutral captions",
  "date": "2026-10-03",
  "kind": "lora",
- "status": "running",
+ "status": "done",
  "spec": {
   "id": "e005_lora_neutral_control",
   "title": "Control LoRA: the model's own neutral images, neutral captions",
@@ -26,5 +26,164 @@
   "timestep shift": "3.0 (the checkpoint's own)",
   "precision": "bf16 (the LoRA is saved in bf16)",
   "evaluation": "8 held-out scenes x seeds 101, 202, 303, 404, 20 steps, guidance 4.5"
- }
+ },
+ "epochs": [
+  {
+   "epoch": 2,
+   "scale": 1.0,
+   "mean": 0.3306457232683897,
+   "se": 0.12893882014295094,
+   "frac_pos": 0.8125,
+   "n": 32,
+   "OUTCOME": "CONTROL",
+   "content_kept": 0.9721308220177889,
+   "mood_score": 1.0970723628997803,
+   "pixels": {
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+    "sat": 0.4129191283136606,
+    "warmth": 0.07002029614523053,
+    "contrast": 0.30231243651360273
+   }
+  },
+  {
+   "epoch": 4,
+   "scale": 1.0,
+   "mean": 0.39772655814886093,
+   "se": 0.12554822719425363,
+   "frac_pos": 0.8125,
+   "n": 32,
+   "OUTCOME": "CONTROL",
+   "content_kept": 0.9713291935622692,
+   "mood_score": 1.1641532182693481,
+   "pixels": {
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+    "sat": 0.39739791490137577,
+    "warmth": 0.07716651912778616,
+    "contrast": 0.30508847814053297
+   }
+  },
+  {
+   "epoch": 6,
+   "scale": 1.0,
+   "mean": 0.43084683269262314,
+   "se": 0.10241579250589981,
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+   "n": 32,
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+   "mood_score": 1.1972734928131104,
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+    "sat": 0.40154851227998734,
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+    "contrast": 0.306139855645597
+   }
+  },
+  {
+   "epoch": 8,
+   "scale": 1.0,
+   "mean": 0.3534310292452574,
+   "se": 0.09737796709325917,
+   "frac_pos": 0.65625,
+   "n": 32,
+   "OUTCOME": "CONTROL",
+   "content_kept": 0.968297814950347,
+   "mood_score": 1.119857668876648,
+   "pixels": {
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+    "sat": 0.39800949580967426,
+    "warmth": 0.07533816434442997,
+    "contrast": 0.3027775869704783
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+  },
+  {
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+   "se": 0.09838567401052334,
+   "frac_pos": 0.625,
+   "n": 32,
+   "OUTCOME": "CONTROL",
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+   "mood_score": 0.9940349459648132,
+   "pixels": {
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+    "sat": 0.3920339746400714,
+    "warmth": 0.0700287283398211,
+    "contrast": 0.2903351611457765
+   }
+  },
+  {
+   "epoch": 10,
+   "scale": 1.0,
+   "mean": 0.30393643490970135,
+   "se": 0.0890526511161117,
+   "frac_pos": 0.71875,
+   "n": 32,
+   "OUTCOME": "CONTROL",
+   "content_kept": 0.9691903609782457,
+   "mood_score": 1.0703630447387695,
+   "pixels": {
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+    "sat": 0.41412709187716246,
+    "warmth": 0.07607955252751708,
+    "contrast": 0.30458328127861023
+   }
+  }
+ ],
+ "final": {
+  "epoch": 10,
+  "scale": 1.0,
+  "mean": 0.30393643490970135,
+  "se": 0.0890526511161117,
+  "frac_pos": 0.71875,
+  "n": 32,
+  "OUTCOME": "CONTROL",
+  "content_kept": 0.9691903609782457,
+  "mood_score": 1.0703630447387695,
+  "pixels": {
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+   "sat": 0.41412709187716246,
+   "warmth": 0.07607955252751708,
+   "contrast": 0.30458328127861023
+  }
+ },
+ "final_diffs": [
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+ ],
+ "first_epoch_beyond_3se": 4,
+ "train_seconds": 120,
+ "summary": "control: mood effect +0.30 +- 0.09 at scale 1; CONTROL QUIET against e004",
+ "finished_utc": "2026-10-03 23:38"
 }