Train ATI-HO and finalize project outputs

2026-09-26 16:05:44 +08:00
parent a86560da64
commit 9cdd604117
358 changed files with 10540 additions and 173 deletions
@@ -0,0 +1,119 @@
+{
+  "experiment": "ATI–HO Q3 staged training and structural attribution audit",
+  "created_utc": "2026-09-26T07:33:41Z",
+  "device": "cuda",
+  "torch_version": "2.14.0+cu130",
+  "cuda_available": true,
+  "cuda_version": "13.0",
+  "gpu": "NVIDIA GeForce RTX 5070 Ti",
+  "python": "3.14.7",
+  "seeds": [
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+    3407,
+    2026
+  ],
+  "epochs_max": 12,
+  "training_protocol": {
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+    "early_stopping_patience": 3,
+    "optimizer": "AdamW",
+    "learning_rate": 0.0003,
+    "weight_decay": 0.001,
+    "gradient_clip_norm": 1.0,
+    "training_mask_rates": [
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+      0.1,
+      0.3,
+      0.5,
+      0.7
+    ],
+    "training_mask_patterns": [
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+      "sync",
+      "partial",
+      "async"
+    ],
+    "validation_selection_scenarios": [
+      "0.0/none",
+      "0.3/single",
+      "0.3/sync",
+      "0.5/async"
+    ],
+    "held_out_attachment4_touched_during_training": false
+  },
+  "ati_output": {
+    "parameter_vector": "3 centered class logits + r_negative + r_positive",
+    "intensity": "negative/positive magnitudes are 3*sigmoid(r); neutral class is exactly zero",
+    "loss": "cross entropy + conditional magnitude SmoothL1 + 0.2*Huber(delta=0.25) + configured regularizers",
+    "baseline_checkpoint_reuse": "No: retrain B0 and B1 on the fixed ATI split/mask schedule because existing Q2 checkpoints differ in seeds, batch size, and schedule.",
+    "calibration_temperature": 1.0
+  },
+  "data": {
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+    "feature_sha256": "77eda14a06be9749a96c52ae45470c7cffcfa7219011eae391d231a0664c3762",
+    "scaler_file": "/home/gloamxun/modeling_zhaocui/final/experiments/q2/unaligned_deep_two_b128/unaligned_50_robust_stats.npz",
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+    "representation": "Q1 adapter Relative-Progress projection; 50 slots; not physical-time alignment",
+    "adapter": "final.adapter.adapt_official_split; shared train-only robust scaler retained from Q2 V2",
+    "dimensions": [
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+      35
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+    "test_samples": 727,
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+}