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@@ -56,3 +56,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260306_052539/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260306_070444/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260306_070444/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
+20260306_092824/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
+20260306_092824/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text

20260306_092824/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_092824/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:dcc3737b6396931f363ce6ae8dd7584be35a03ef2ed92c38c5d1742db70e9aa2
+size 68941261

20260306_092824/analysis_bundle/metrics/metrics.jsonl

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+{"epoch": 1, "train_loss": 0.2981664543368889, "acc": 0.8593017196456487, "f1": 0.7960725075528701, "precision": 0.8286163522012578, "recall": 0.7659883720930233, "score": 0.8593017196456487}
+{"epoch": 2, "train_loss": 0.14901353706940643, "acc": 0.8650338718082334, "f1": 0.8042328042328042, "precision": 0.8377952755905512, "recall": 0.7732558139534884, "score": 0.8650338718082334}
+{"epoch": 3, "train_loss": 0.1165201541996746, "acc": 0.8577384054194893, "f1": 0.8034557235421166, "precision": 0.7960057061340942, "recall": 0.811046511627907, "score": 0.8577384054194893}
+{"epoch": 4, "train_loss": 0.09333308770555288, "acc": 0.8467952058363731, "f1": 0.7632850241545893, "precision": 0.855595667870036, "recall": 0.688953488372093, "score": 0.8467952058363731}

20260306_092824/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,2879,0.8482111844390413,0.7881725642268541,0.8287461773700305,0.7513863216266173,0.3758249392150052,0.6241750607849947

20260306_092824/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_092824,outputs/task1_positive_binary_runs/20260306_092824/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8482111844390413,0.7881725642268541,0.8287461773700305,0.7513863216266173,0.3758249392150052,0.6241750607849947

20260306_092824/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
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+  "best_score": 0.8650338718082334,
+  "train_rows": 19481,
+  "val_rows": 1919,
+  "final_eval_rows": 2879,
+  "val_metrics": {
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+    "f1": 0.8042328042328042,
+    "precision": 0.8377952755905512,
+    "recall": 0.7732558139534884
+  },
+  "final_eval_metrics": {
+    "acc": 0.8482111844390413,
+    "f1": 0.7881725642268541,
+    "precision": 0.8287461773700305,
+    "recall": 0.7513863216266173
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.3758249392150052,
+    "always_decline_acc": 0.6241750607849947
+  }
+}