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@@ -40,3 +40,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260223_080517/analysis_bundle/predictions/final_eval_predictions_evalonly.csv filter=lfs diff=lfs merge=lfs -text
 20260303_181847/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260303_181847/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
+20260305_122917/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
+20260305_122917/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text

20260305_122917/analysis_bundle/cartography/summary.json

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+{
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+  "task1_rows": 19483,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 2094,
+  "plot_saved": true
+}

20260305_122917/analysis_bundle/cartography/task1_cartography.csv

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+size 68922928

20260305_122917/analysis_bundle/metrics/metrics.jsonl

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+{"epoch": 1, "train_loss": 0.31555837556438393, "acc": 0.8884254431699687, "f1": 0.8573333333333333, "precision": 0.8275418275418276, "recall": 0.8893499308437067, "score": 0.8884254431699687}
+{"epoch": 2, "train_loss": 0.15991783332330448, "acc": 0.8816475495307612, "f1": 0.8471380471380472, "precision": 0.8254593175853019, "recall": 0.8699861687413555, "score": 0.8816475495307612}
+{"epoch": 3, "train_loss": 0.12003936337793401, "acc": 0.8795620437956204, "f1": 0.8446536650975117, "precision": 0.8219895287958116, "recall": 0.8686030428769018, "score": 0.8795620437956204}

20260305_122917/analysis_bundle/summaries/final_eval_summary.csv

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+dataset,rows_evaluated,acc,f1,precision,recall,always_pick_acc,always_decline_acc
+data_for_deberta/dedup_split/positive_test.csv,2879,0.8617575547064953,0.8242049469964664,0.7947189097103918,0.8559633027522936,0.37860368183397014,0.6213963181660299

20260305_122917/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_122917,outputs/task1_positive_binary_runs/20260305_122917/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8617575547064953,0.8242049469964664,0.7947189097103918,0.8559633027522936,0.37860368183397014,0.6213963181660299

20260305_122917/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
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+  "best_score": 0.8884254431699687,
+  "train_rows": 19483,
+  "val_rows": 1918,
+  "final_eval_rows": 2879,
+  "val_metrics": {
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+    "f1": 0.8573333333333333,
+    "precision": 0.8275418275418276,
+    "recall": 0.8893499308437067
+  },
+  "final_eval_metrics": {
+    "acc": 0.8617575547064953,
+    "f1": 0.8242049469964664,
+    "precision": 0.7947189097103918,
+    "recall": 0.8559633027522936
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.37860368183397014,
+    "always_decline_acc": 0.6213963181660299
+  }
+}