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experiment_log.json

@@ -1,51 +1,32 @@
 {
   "config": {
-    "timestamp": "20260629-201308",
+    "timestamp": "20260629-215434",
     "model_id": "google/diffusiongemma-26B-A4B-it",
     "gpu": "A100-80GB",
-    "quantization": "4bit-nf4",
+    "lora_rank": 8,
+    "lora_alpha": 16,
     "canvas_length": 256
   },
   "steps": {
-    "1_baseline": {
-      "num_prompts": 5,
-      "total_words": 759
-    },
-    "2_detectors_before": {
-      "num_samples": 5,
-      "perplexity": {
-        "mean": 15.49,
-        "std": 4.2
-      },
-      "burstiness": {
-        "mean": 0.6738
-      },
-      "fast_detectgpt": {
-        "mean_score": 0.0005,
-        "ai_detected": 0,
-        "human_detected": 5
-      },
-      "heuristic": {
-        "mean_ai_prob": 0.35,
-        "ai_classified": 0,
-        "human_classified": 5
-      }
+    "2_baseline": {
+      "mean_ensemble_score": 0.4787,
+      "ai_detected_pct": "2/5"
     },
     "3_dataset": {
-      "synthetic_pairs": 39,
-      "hc3_pairs": 0,
-      "note": "HC3 unavailable — dataset scripts deprecated in newer `datasets` lib"
+      "training_pairs": 46,
+      "avg_detector_improvement": 0.0257
     },
     "4_training": {
-      "status": "skipped",
-      "reason": "PEFT incompatible with DiffusionGemmaForBlockDiffusion",
-      "note": "Base model achieves 0% AI detection — fine-tuning not needed for MVP"
+      "status": "failed: RuntimeError",
+      "final_diffusion_loss": null,
+      "epochs_completed": 1,
+      "lora_modules_injected": 189,
+      "adapter_path": "/data/output/lora_weights"
     },
     "5_evaluation": {
-      "num_eval_prompts": 3,
-      "ai_mean_heuristic": 0.3805,
-      "humanized_mean_heuristic": 0.4028,
-      "improvement": -0.0222
+      "ai_mean_ensemble": 0.4744,
+      "humanized_mean_ensemble": 0.4717,
+      "improvement": 0.0027
     }
   }
 }