Upload final adaptive repair report artifacts

.gitattributes

@@ -133,3 +133,7 @@ docs/detailed-blog/rendered-assets/hugging-face-space-repair-loop-ui.png filter=
 docs/detailed-blog/rendered-assets/strict-grpo-caster-render.png filter=lfs diff=lfs merge=lfs -text
 docs/detailed-blog/rendered-assets/strict-grpo-stator-render.png filter=lfs diff=lfs merge=lfs -text
 docs/detailed-blog/rendered-assets/training-evidence-build-rate-summary.png filter=lfs diff=lfs merge=lfs -text
+training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/grpo_code_health.png filter=lfs diff=lfs merge=lfs -text
+training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/grpo_reward_curve.png filter=lfs diff=lfs merge=lfs -text
+training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/optimizer_health.png filter=lfs diff=lfs merge=lfs -text
+training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/sft_loss_curve.png filter=lfs diff=lfs merge=lfs -text

training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/debug_completion_summary.json

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+]

training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/training_curve_report.md

@@ -0,0 +1,74 @@
+# CADForge Training Curves
+
+- Log: `training/logs/grpo-9b-20260426-adaptive-repair-final-8192.log`
+- Parsed log metric rows: `46`
+- TensorBoard scalar tags: `28`
+- Train steps logged: `45`
+- Eval points logged: `0`
+- Train loss: `0.0144` -> `-0.0425`
+- GRPO reward points: `45`
+- GRPO mean/best reward: `-0.2128` / `0.7366`
+- GRPO trend slope: `-0.000669` per step
+- Completion debug rows: `180`
+- Build rate from debug rows: `29.4%`
+- Final fixture/import rates: `97.2%` / `100.0%`
+
+## Charts
+
+![sft_loss_curve](training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/sft_loss_curve.png)
+![training_timeline](training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/training_timeline.png)
+![optimizer_health](training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/optimizer_health.png)
+![grpo_reward_curve](training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/grpo_reward_curve.png)
+![grpo_code_health](training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/grpo_code_health.png)
+![grpo_error_breakdown](training/reports/qwen35-9b-grpo-20260426-adaptive-repair-final-8192/grpo_error_breakdown.png)
+
+## Final Trainer Metrics
+
+```json
+{
+  "train_runtime": 4269.0,
+  "train_samples_per_second": 0.042,
+  "train_steps_per_second": 0.011,
+  "train_loss": -0.004462,
+  "epoch": 1.875
+}
+```
+
+## Recent Train Loss
+
+| step | loss |
+|---:|---:|
+| 26 | 0.0649 |
+| 27 | 0.0120 |
+| 28 | 0.0000 |
+| 29 | 0.0395 |
+| 30 | -0.1055 |
+| 31 | 0.0580 |
+| 32 | 0.0289 |
+| 33 | -0.0186 |
+| 34 | -0.0770 |
+| 35 | -0.0182 |
+| 36 | 0.0557 |
+| 37 | 0.0222 |
+| 38 | -0.0843 |
+| 39 | 0.0414 |
+| 40 | -0.1063 |
+| 41 | 0.1229 |
+| 42 | 0.0183 |
+| 43 | -0.0280 |
+| 44 | -0.0205 |
+| 45 | -0.0425 |
+
+## GRPO Error Breakdown
+
+| outcome | count |
+|---|---:|
+| `build_ok` | 53 |
+| `NameError` | 37 |
+| `TypeError` | 21 |
+| `ValueError` | 21 |
+| `AttributeError` | 18 |
+| `SyntaxError` | 12 |
+| `BRep_API` | 9 |
+| `unknown` | 8 |
+| `StdFail` | 1 |