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@@ -46,3 +46,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260305_134923/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260305_150950/analysis_bundle/cartography/task1_cartography.csv 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

20260305_170447/analysis_bundle/cartography/summary.json

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+{
+  "epochs": 5,
+  "task1_rows": 19481,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 575,
+  "plot_saved": true
+}

20260305_170447/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:ea9bbf08238497a77a9e5906185f6a07b1ac7cbe7b82331c134051e459cd5b3b
+size 68960077

20260305_170447/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,5 @@
+{"epoch": 1, "train_loss": 0.29671126801355424, "acc": 0.8493222106360793, "f1": 0.8172043010752689, "precision": 0.7690476190476191, "recall": 0.8717948717948718, "score": 0.8493222106360793}
+{"epoch": 2, "train_loss": 0.1462959592461537, "acc": 0.8472367049009385, "f1": 0.7975120939875605, "precision": 0.8172804532577904, "recall": 0.7786774628879892, "score": 0.8472367049009385}
+{"epoch": 3, "train_loss": 0.1161972609163554, "acc": 0.864963503649635, "f1": 0.8148677626876341, "precision": 0.8662613981762918, "recall": 0.7692307692307693, "score": 0.864963503649635}
+{"epoch": 4, "train_loss": 0.09678352671279304, "acc": 0.8587069864442127, "f1": 0.8106219426974144, "precision": 0.8405797101449275, "recall": 0.7827260458839406, "score": 0.8587069864442127}
+{"epoch": 5, "train_loss": 0.0822617255873085, "acc": 0.8576642335766423, "f1": 0.8048606147248034, "precision": 0.8556231003039514, "recall": 0.7597840755735492, "score": 0.8576642335766423}

20260305_170447/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,2879,0.8603681833970128,0.8039024390243903,0.8538860103626943,0.759447004608295,0.37686696769711703,0.623133032302883

20260305_170447/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/20260305_170447,outputs/task1_positive_binary_runs/20260305_170447/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8603681833970128,0.8039024390243903,0.8538860103626943,0.759447004608295,0.37686696769711703,0.623133032302883

20260305_170447/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
+  "best_epoch": 3,
+  "best_score": 0.864963503649635,
+  "train_rows": 19481,
+  "val_rows": 1918,
+  "final_eval_rows": 2879,
+  "val_metrics": {
+    "acc": 0.864963503649635,
+    "f1": 0.8148677626876341,
+    "precision": 0.8662613981762918,
+    "recall": 0.7692307692307693
+  },
+  "final_eval_metrics": {
+    "acc": 0.8603681833970128,
+    "f1": 0.8039024390243903,
+    "precision": 0.8538860103626943,
+    "recall": 0.759447004608295
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.37686696769711703,
+    "always_decline_acc": 0.623133032302883
+  }
+}