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@@ -38,3 +38,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260222_105221/analysis_bundle/predictions/final_eval_predictions.csv filter=lfs diff=lfs merge=lfs -text
 20260223_080517/analysis_bundle/predictions/final_eval_predictions.csv 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

20260303_181847/analysis_bundle/cartography/summary.json

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+{
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+  "task1_rows": 19510,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 1088,
+  "plot_saved": true
+}

20260303_181847/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:25e10b48cbab20a68f60a3a842895a494ca66d658c9e758ce696f0620589ab71
+size 68924315

20260303_181847/analysis_bundle/metrics/metrics.jsonl

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+{"epoch": 1, "train_loss": 0.308912454014186, "acc": 0.8858185610010427, "f1": 0.8542914171656687, "precision": 0.8436268068331143, "recall": 0.8652291105121294, "score": 0.8858185610010427}
+{"epoch": 2, "train_loss": 0.16002334033245924, "acc": 0.8602711157455682, "f1": 0.8101983002832861, "precision": 0.8537313432835821, "recall": 0.77088948787062, "score": 0.8602711157455682}
+{"epoch": 3, "train_loss": 0.11676246049645983, "acc": 0.8670490093847758, "f1": 0.8222996515679443, "precision": 0.8513708513708513, "recall": 0.7951482479784366, "score": 0.8670490093847758}
+{"epoch": 4, "train_loss": 0.09778114812540226, "acc": 0.8279457768508863, "f1": 0.7429906542056075, "precision": 0.8800738007380073, "recall": 0.6428571428571429, "score": 0.8279457768508863}

20260303_181847/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,2879,0.8707884682181313,0.8315217391304348,0.8218442256042973,0.8414298808432631,0.37895102466134073,0.6210489753386592

20260303_181847/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/20260303_181847,outputs/task1_positive_binary_runs/20260303_181847/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8707884682181313,0.8315217391304348,0.8218442256042973,0.8414298808432631,0.37895102466134073,0.6210489753386592

20260303_181847/analysis_bundle/summaries/summary.json

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+{
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+  "best_score": 0.8858185610010427,
+  "train_rows": 19510,
+  "val_rows": 1918,
+  "final_eval_rows": 2879,
+  "val_metrics": {
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+    "f1": 0.8542914171656687,
+    "precision": 0.8436268068331143,
+    "recall": 0.8652291105121294
+  },
+  "final_eval_metrics": {
+    "acc": 0.8707884682181313,
+    "f1": 0.8315217391304348,
+    "precision": 0.8218442256042973,
+    "recall": 0.8414298808432631
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.37895102466134073,
+    "always_decline_acc": 0.6210489753386592
+  }
+}