sync EmbedEd artifacts (phase01-v8)

report/measurements.md

@@ -608,9 +608,15 @@ Generated from `artifacts/runs/<condition>_<seed>/eval_metrics.json` by `python
 | C5 | 13 | 0.7269 | 0.7074 | 0.7474 | 0.6496 | 0.3945 | 415416 |
 | C5 | 14 | 0.7273 | 0.7004 | 0.7563 | 0.6379 | 0.4048 | 415416 |
 | C5 | 15 | 0.7321 | 0.7092 | 0.7566 | 0.6424 | 0.4314 | 415416 |
+| C5 | 16 | 0.7490 | 0.7307 | 0.7684 | 0.6777 | 0.4011 | 415416 |
+| C5 | 17 | 0.7623 | 0.7490 | 0.7762 | 0.6977 | 0.4317 | 415416 |
+| C5 | 18 | 0.7420 | 0.7109 | 0.7759 | 0.6721 | 0.4115 | 415416 |
 | C6 | 13 | 0.4381 | 0.3049 | 0.7777 | 0.2031 | 0.8252 | 415416 |
 | C6 | 14 | 0.4760 | 0.3542 | 0.7255 | 0.1367 | 0.7955 | 415416 |
 | C6 | 15 | 0.4922 | 0.3608 | 0.7743 | 0.1482 | 0.8344 | 415416 |
+| C6 | 16 | 0.4524 | 0.3909 | 0.5368 | 0.2871 | 0.6253 | 415416 |
+| C6 | 17 | 0.5151 | 0.3986 | 0.7281 | 0.2069 | 0.8229 | 415416 |
+| C6 | 18 | 0.4596 | 0.3348 | 0.7328 | 0.1137 | 0.6831 | 415416 |
 
 | condition | runs | mean F1 | sd F1 | mean P | mean R | mean MAP@R |
 |---|---|---|---|---|---|---|
@@ -619,12 +625,12 @@ Generated from `artifacts/runs/<condition>_<seed>/eval_metrics.json` by `python
 | C2 | 6 | 0.2555 | 0.0123 | 0.1547 | 0.7713 | 0.0474 |
 | C3 | 6 | 0.2733 | 0.0091 | 0.1854 | 0.5234 | 0.0772 |
 | C4 | 6 | 0.4349 | 0.0246 | 0.3597 | 0.5553 | 0.2760 |
-| C5 | 3 | 0.7288 | 0.0029 | 0.7057 | 0.7534 | 0.6433 |
-| C6 | 3 | 0.4688 | 0.0278 | 0.3400 | 0.7592 | 0.1627 |
+| C5 | 6 | 0.7399 | 0.0140 | 0.7179 | 0.7635 | 0.6629 |
+| C6 | 6 | 0.4722 | 0.0282 | 0.3574 | 0.7125 | 0.1826 |
 
 - 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 (0.7464); 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.
+- Sanity reference: published CodeXGLUE fine-tuned-CodeBERT F1 ~ 0.95 under a different model/protocol. Observed F1 range 0.2408–0.7623. A large discrepancy is a harness/protocol check (metric implementation, pair order, labels, threshold handling), not a reason to tune against the test split.
 - 3 smoke-run result(s) are excluded from this table (harness checks, not measurements).
 - 2 result file(s) with conditions outside ['C0', 'C1', 'C2', 'C3', 'C4', 'C5', 'C6'] (Phase 3 sprime runs) are excluded from this table.
 

sync_manifest.json

@@ -1,6 +1,6 @@
 {
   "version": "phase01-v8",
-  "synced_at_utc": "2026-10-02T19:22:40Z",
+  "synced_at_utc": "2026-10-02T19:28:26Z",
   "staged_files": [
     "artifacts/audit/audit_key.csv",
     "artifacts/audit/audit_labels.csv",
@@ -178,12 +178,14 @@
     "artifacts/runs/C4_18/predictions.npz",
     "artifacts/runs/C4_18/run_config.json",
     "artifacts/runs/C4_18/train_log.jsonl",
+    "artifacts/runs/C5_13/checkpoint.pt",
     "artifacts/runs/C5_13/eval_config.json",
     "artifacts/runs/C5_13/eval_metrics.json",
     "artifacts/runs/C5_13/metrics.json",
     "artifacts/runs/C5_13/predictions.npz",
     "artifacts/runs/C5_13/run_config.json",
     "artifacts/runs/C5_13/train_log.jsonl",
+    "artifacts/runs/C5_14/checkpoint.pt",
     "artifacts/runs/C5_14/eval_config.json",
     "artifacts/runs/C5_14/eval_metrics.json",
     "artifacts/runs/C5_14/metrics.json",
@@ -196,32 +198,59 @@
     "artifacts/runs/C5_15/predictions.npz",
     "artifacts/runs/C5_15/run_config.json",
     "artifacts/runs/C5_15/train_log.jsonl",
+    "artifacts/runs/C5_16/checkpoint.pt",
+    "artifacts/runs/C5_16/eval_config.json",
+    "artifacts/runs/C5_16/eval_metrics.json",
+    "artifacts/runs/C5_16/metrics.json",
+    "artifacts/runs/C5_16/predictions.npz",
+    "artifacts/runs/C5_16/run_config.json",
+    "artifacts/runs/C5_16/train_log.jsonl",
+    "artifacts/runs/C5_17/checkpoint.pt",
+    "artifacts/runs/C5_17/eval_config.json",
+    "artifacts/runs/C5_17/eval_metrics.json",
+    "artifacts/runs/C5_17/metrics.json",
+    "artifacts/runs/C5_17/predictions.npz",
+    "artifacts/runs/C5_17/run_config.json",
+    "artifacts/runs/C5_17/train_log.jsonl",
+    "artifacts/runs/C5_18/eval_config.json",
+    "artifacts/runs/C5_18/eval_metrics.json",
+    "artifacts/runs/C5_18/metrics.json",
+    "artifacts/runs/C5_18/predictions.npz",
+    "artifacts/runs/C5_18/run_config.json",
+    "artifacts/runs/C5_18/train_log.jsonl",
+    "artifacts/runs/C6_13/checkpoint.pt",
     "artifacts/runs/C6_13/eval_config.json",
     "artifacts/runs/C6_13/eval_metrics.json",
     "artifacts/runs/C6_13/metrics.json",
     "artifacts/runs/C6_13/predictions.npz",
     "artifacts/runs/C6_13/run_config.json",
     "artifacts/runs/C6_13/train_log.jsonl",
+    "artifacts/runs/C6_14/checkpoint.pt",
     "artifacts/runs/C6_14/eval_config.json",
     "artifacts/runs/C6_14/eval_metrics.json",
     "artifacts/runs/C6_14/metrics.json",
     "artifacts/runs/C6_14/predictions.npz",
     "artifacts/runs/C6_14/run_config.json",
     "artifacts/runs/C6_14/train_log.jsonl",
+    "artifacts/runs/C6_15/checkpoint.pt",
     "artifacts/runs/C6_15/eval_config.json",
     "artifacts/runs/C6_15/eval_metrics.json",
     "artifacts/runs/C6_15/metrics.json",
     "artifacts/runs/C6_15/predictions.npz",
     "artifacts/runs/C6_15/run_config.json",
     "artifacts/runs/C6_15/train_log.jsonl",
-    "artifacts/runs/C6_17/checkpoint.pt",
+    "artifacts/runs/C6_16/eval_config.json",
+    "artifacts/runs/C6_16/eval_metrics.json",
+    "artifacts/runs/C6_16/metrics.json",
+    "artifacts/runs/C6_16/predictions.npz",
+    "artifacts/runs/C6_16/run_config.json",
+    "artifacts/runs/C6_16/train_log.jsonl",
     "artifacts/runs/C6_17/eval_config.json",
     "artifacts/runs/C6_17/eval_metrics.json",
     "artifacts/runs/C6_17/metrics.json",
     "artifacts/runs/C6_17/predictions.npz",
     "artifacts/runs/C6_17/run_config.json",
     "artifacts/runs/C6_17/train_log.jsonl",
-    "artifacts/runs/C6_18/checkpoint.pt",
     "artifacts/runs/C6_18/eval_config.json",
     "artifacts/runs/C6_18/eval_metrics.json",
     "artifacts/runs/C6_18/metrics.json",
@@ -240,6 +269,7 @@
     "artifacts/runs/smoke_C4_13/predictions.npz",
     "artifacts/runs/smoke_C4_13/run_config.json",
     "artifacts/runs/smoke_C4_13/train_log.jsonl",
+    "artifacts/runs/smoke_C5_13/checkpoint.pt",
     "artifacts/runs/smoke_C5_13/eval_config.json",
     "artifacts/runs/smoke_C5_13/eval_metrics.json",
     "artifacts/runs/smoke_C5_13/metrics.json",
@@ -287,7 +317,8 @@
     "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/*",