sync EmbedEd artifacts (phase01-v6)

report/measurements.md

@@ -587,26 +587,31 @@ Generated from `artifacts/runs/<condition>_<seed>/eval_metrics.json` by `python
 | C1 | 14 | 0.7564 | 0.6576 | 0.8900 | 0.6225 | 0.6022 | 600 |
 | C1 | 15 | 0.7599 | 0.7394 | 0.7815 | 0.6862 | 0.4492 | 415416 |
 | C1 | 16 | 0.7545 | 0.7496 | 0.7595 | 0.6774 | 0.4396 | 415416 |
+| C1 | 17 | 0.7118 | 0.6774 | 0.7500 | 0.6026 | 0.4622 | 415416 |
 | C1 | 18 | 0.7522 | 0.7751 | 0.7306 | 0.6906 | 0.4581 | 415416 |
 | C2 | 13 | 0.2438 | 0.1410 | 0.8997 | 0.0210 | 1.0000 | 415416 |
 | C2 | 14 | 0.2534 | 0.1573 | 0.6510 | 0.0648 | 1.0000 | 415416 |
 | C2 | 15 | 0.2653 | 0.1704 | 0.5989 | 0.0758 | 0.8355 | 415416 |
+| C2 | 16 | 0.2572 | 0.1584 | 0.6826 | 0.0479 | 1.0000 | 415416 |
+| C2 | 17 | 0.2408 | 0.1370 | 0.9907 | 0.0172 | 1.0000 | 415416 |
+| C2 | 18 | 0.2728 | 0.1642 | 0.8052 | 0.0580 | 0.9793 | 415416 |
 | C3 | 13 | 0.2594 | 0.1712 | 0.5348 | 0.0776 | 1.0000 | 415416 |
 | C3 | 14 | 0.2865 | 0.2015 | 0.4952 | 0.0834 | 1.0000 | 415416 |
 | C3 | 15 | 0.2726 | 0.1807 | 0.5542 | 0.0699 | 1.0000 | 415416 |
 | C3 | 16 | 0.2727 | 0.1875 | 0.4994 | 0.0790 | 1.0000 | 415416 |
+| C3 | 17 | 0.2697 | 0.1877 | 0.4792 | 0.0722 | 1.0000 | 415416 |
 | C3 | 18 | 0.2789 | 0.1839 | 0.5774 | 0.0813 | 1.0000 | 415416 |
 
 | condition | runs | mean F1 | sd F1 | mean P | mean R | mean MAP@R |
 |---|---|---|---|---|---|---|
 | C0 | 1 | 0.2572 | 0.0000 | 0.2075 | 0.3383 | 0.1024 |
-| C1 | 7 | 0.7494 | 0.0125 | 0.7249 | 0.7802 | 0.6578 |
-| C2 | 3 | 0.2542 | 0.0108 | 0.1562 | 0.7165 | 0.0539 |
-| C3 | 5 | 0.2740 | 0.0100 | 0.1850 | 0.5322 | 0.0782 |
+| C1 | 8 | 0.7447 | 0.0176 | 0.7190 | 0.7764 | 0.6509 |
+| C2 | 6 | 0.2555 | 0.0123 | 0.1547 | 0.7713 | 0.0474 |
+| C3 | 6 | 0.2733 | 0.0091 | 0.1854 | 0.5234 | 0.0772 |
 
 - C0 is the untuned baseline (one evaluation, not a trained condition) at mean F1 0.2572.
-- Among the trained conditions the highest mean F1 is C1 (0.7494); per-seed values above, not the best seed.
-- Sanity reference: published CodeXGLUE fine-tuned-CodeBERT F1 ~ 0.95 under a different model/protocol. Observed F1 range 0.2438–0.7599. A large discrepancy is a harness/protocol check (metric implementation, pair order, labels, threshold handling), not a reason to tune against the test split.
+- Among the trained conditions the highest mean F1 is C1 (0.7447); per-seed values above, not the best seed.
+- Sanity reference: published CodeXGLUE fine-tuned-CodeBERT F1 ~ 0.95 under a different model/protocol. Observed F1 range 0.2408–0.7599. A large discrepancy is a harness/protocol check (metric implementation, pair order, labels, threshold handling), not a reason to tune against the test split.
 - 1 smoke-run result(s) are excluded from this table (harness checks, not measurements).
 
 ## Phase 3 — decisions (recorded before the runs)

sync_manifest.json

@@ -1,6 +1,6 @@
 {
   "version": "phase01-v6",
-  "synced_at_utc": "2026-10-01T19:24:17Z",
+  "synced_at_utc": "2026-10-01T19:26:01Z",
   "staged_files": [
     "artifacts/audit/audit_key.csv",
     "artifacts/audit/audit_labels.csv",
@@ -40,6 +40,24 @@
     "artifacts/runs/C1_15/predictions.npz",
     "artifacts/runs/C1_15/run_config.json",
     "artifacts/runs/C1_15/train_log.jsonl",
+    "artifacts/runs/C1_16/eval_config.json",
+    "artifacts/runs/C1_16/eval_metrics.json",
+    "artifacts/runs/C1_16/metrics.json",
+    "artifacts/runs/C1_16/predictions.npz",
+    "artifacts/runs/C1_16/run_config.json",
+    "artifacts/runs/C1_16/train_log.jsonl",
+    "artifacts/runs/C1_17/eval_config.json",
+    "artifacts/runs/C1_17/eval_metrics.json",
+    "artifacts/runs/C1_17/metrics.json",
+    "artifacts/runs/C1_17/predictions.npz",
+    "artifacts/runs/C1_17/run_config.json",
+    "artifacts/runs/C1_17/train_log.jsonl",
+    "artifacts/runs/C1_18/eval_config.json",
+    "artifacts/runs/C1_18/eval_metrics.json",
+    "artifacts/runs/C1_18/metrics.json",
+    "artifacts/runs/C1_18/predictions.npz",
+    "artifacts/runs/C1_18/run_config.json",
+    "artifacts/runs/C1_18/train_log.jsonl",
     "artifacts/runs/C2_13/eval_config.json",
     "artifacts/runs/C2_13/eval_metrics.json",
     "artifacts/runs/C2_13/metrics.json",
@@ -58,6 +76,12 @@
     "artifacts/runs/C2_15/predictions.npz",
     "artifacts/runs/C2_15/run_config.json",
     "artifacts/runs/C2_15/train_log.jsonl",
+    "artifacts/runs/C2_16/eval_config.json",
+    "artifacts/runs/C2_16/eval_metrics.json",
+    "artifacts/runs/C2_16/metrics.json",
+    "artifacts/runs/C2_16/predictions.npz",
+    "artifacts/runs/C2_16/run_config.json",
+    "artifacts/runs/C2_16/train_log.jsonl",
     "artifacts/runs/C2_17/checkpoint.pt",
     "artifacts/runs/C2_17/eval_config.json",
     "artifacts/runs/C2_17/eval_metrics.json",
@@ -90,6 +114,24 @@
     "artifacts/runs/C3_15/predictions.npz",
     "artifacts/runs/C3_15/run_config.json",
     "artifacts/runs/C3_15/train_log.jsonl",
+    "artifacts/runs/C3_16/eval_config.json",
+    "artifacts/runs/C3_16/eval_metrics.json",
+    "artifacts/runs/C3_16/metrics.json",
+    "artifacts/runs/C3_16/predictions.npz",
+    "artifacts/runs/C3_16/run_config.json",
+    "artifacts/runs/C3_16/train_log.jsonl",
+    "artifacts/runs/C3_17/eval_config.json",
+    "artifacts/runs/C3_17/eval_metrics.json",
+    "artifacts/runs/C3_17/metrics.json",
+    "artifacts/runs/C3_17/predictions.npz",
+    "artifacts/runs/C3_17/run_config.json",
+    "artifacts/runs/C3_17/train_log.jsonl",
+    "artifacts/runs/C3_18/eval_config.json",
+    "artifacts/runs/C3_18/eval_metrics.json",
+    "artifacts/runs/C3_18/metrics.json",
+    "artifacts/runs/C3_18/predictions.npz",
+    "artifacts/runs/C3_18/run_config.json",
+    "artifacts/runs/C3_18/train_log.jsonl",
     "artifacts/runs/smoke_C1_13/eval_config.json",
     "artifacts/runs/smoke_C1_13/eval_metrics.json",
     "artifacts/runs/smoke_C1_13/metrics.json",
@@ -127,7 +169,8 @@
     "artifacts/v5-backup/mining_summary.json",
     "artifacts/v5-backup/triples_C1.jsonl",
     "artifacts/v5-backup/triples_C2.jsonl",
-    "artifacts/v5-backup/triples_C3.jsonl"
+    "artifacts/v5-backup/triples_C3.jsonl",
+    "report/measurements.md"
   ],
   "excluded_patterns": [
     "sprime/*",