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@@ -48,3 +48,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260305_150950/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260305_170447/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260305_170447/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
+20260306_010338/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
+20260306_010338/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text

20260306_010338/analysis_bundle/cartography/summary.json

@@ -0,0 +1,7 @@
+{
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+  "task1_rows": 19481,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 2092,
+  "plot_saved": true
+}

20260306_010338/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:cb1e8450922d6a25ff26517254343306b91ceae0de8724d56156f83793637a09
+size 68910026

20260306_010338/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,3 @@
+{"epoch": 1, "train_loss": 0.2981848690891256, "acc": 0.8587806149035956, "f1": 0.7957799547852299, "precision": 0.8262910798122066, "recall": 0.7674418604651163, "score": 0.8587806149035956}
+{"epoch": 2, "train_loss": 0.1504280993008408, "acc": 0.8457529963522668, "f1": 0.7726574500768049, "precision": 0.8192182410423453, "recall": 0.7311046511627907, "score": 0.8457529963522668}
+{"epoch": 3, "train_loss": 0.11574762833896529, "acc": 0.8488796248045857, "f1": 0.7873900293255132, "precision": 0.7943786982248521, "recall": 0.7805232558139535, "score": 0.8488796248045857}

20260306_010338/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,2879,0.8562000694685655,0.8011527377521613,0.834,0.7707948243992606,0.3758249392150052,0.6241750607849947

20260306_010338/analysis_bundle/summaries/final_eval_summary_evalonly.csv

@@ -0,0 +1,2 @@
+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_010338,outputs/task1_positive_binary_runs/20260306_010338/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8562000694685655,0.8011527377521613,0.834,0.7707948243992606,0.3758249392150052,0.6241750607849947

20260306_010338/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
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+  "best_score": 0.8587806149035956,
+  "train_rows": 19481,
+  "val_rows": 1919,
+  "final_eval_rows": 2879,
+  "val_metrics": {
+    "acc": 0.8587806149035956,
+    "f1": 0.7957799547852299,
+    "precision": 0.8262910798122066,
+    "recall": 0.7674418604651163
+  },
+  "final_eval_metrics": {
+    "acc": 0.8562000694685655,
+    "f1": 0.8011527377521613,
+    "precision": 0.834,
+    "recall": 0.7707948243992606
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.3758249392150052,
+    "always_decline_acc": 0.6241750607849947
+  }
+}