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@@ -52,3 +52,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260306_010338/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260306_031627/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260306_031627/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
+20260306_052539/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
+20260306_052539/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text

20260306_052539/analysis_bundle/cartography/summary.json

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+{
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+  "task1_rows": 19481,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 1068,
+  "plot_saved": true
+}

20260306_052539/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:71d5bc1793b40750314dbf0d7ddc490171362cd4c97a622ed69947442e8b2336
+size 68941519

20260306_052539/analysis_bundle/metrics/metrics.jsonl

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+{"epoch": 1, "train_loss": 0.29818788143593594, "acc": 0.8587806149035956, "f1": 0.7957799547852299, "precision": 0.8262910798122066, "recall": 0.7674418604651163, "score": 0.8587806149035956}
+{"epoch": 2, "train_loss": 0.14909711701884157, "acc": 0.8629494528400209, "f1": 0.8015094339622642, "precision": 0.8335949764521193, "recall": 0.7718023255813954, "score": 0.8629494528400209}
+{"epoch": 3, "train_loss": 0.11901936801808025, "acc": 0.8582595101615424, "f1": 0.8014598540145985, "precision": 0.8049853372434017, "recall": 0.7979651162790697, "score": 0.8582595101615424}
+{"epoch": 4, "train_loss": 0.09573218423402173, "acc": 0.8457529963522668, "f1": 0.765079365079365, "precision": 0.8426573426573427, "recall": 0.7005813953488372, "score": 0.8457529963522668}

20260306_052539/analysis_bundle/summaries/final_eval_summary.csv

@@ -0,0 +1,2 @@
+dataset,rows_evaluated,acc,f1,precision,recall,always_pick_acc,always_decline_acc
+data_for_deberta/dedup_split/positive_test.csv,2879,0.8485585272664119,0.7905859750240154,0.823,0.7606284658040665,0.3758249392150052,0.6241750607849947

20260306_052539/analysis_bundle/summaries/final_eval_summary_evalonly.csv

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+run_dir,model_path,dataset,rows_raw,rows_evaluated,acc,f1,precision,recall,always_pick_acc,always_decline_acc
+outputs/task1_positive_binary_runs/20260306_052539,outputs/task1_positive_binary_runs/20260306_052539/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8485585272664119,0.7905859750240154,0.823,0.7606284658040665,0.3758249392150052,0.6241750607849947

20260306_052539/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
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+  "best_score": 0.8629494528400209,
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+  "val_rows": 1919,
+  "final_eval_rows": 2879,
+  "val_metrics": {
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+    "f1": 0.8015094339622642,
+    "precision": 0.8335949764521193,
+    "recall": 0.7718023255813954
+  },
+  "final_eval_metrics": {
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+    "f1": 0.7905859750240154,
+    "precision": 0.823,
+    "recall": 0.7606284658040665
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.3758249392150052,
+    "always_decline_acc": 0.6241750607849947
+  }
+}