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@@ -44,3 +44,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260305_122917/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260305_134923/analysis_bundle/cartography/task1_cartography.csv 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_150950/analysis_bundle/cartography/summary.json

@@ -0,0 +1,7 @@
+{
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+  "task1_rows": 19483,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 2094,
+  "plot_saved": true
+}

20260305_150950/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:211190792ee4deab0288ead02543d5c978671ebe9ed9e80fbb06ebc1323f67f5
+size 68922853

20260305_150950/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,3 @@
+{"epoch": 1, "train_loss": 0.31556070297772953, "acc": 0.8884254431699687, "f1": 0.8573333333333333, "precision": 0.8275418275418276, "recall": 0.8893499308437067, "score": 0.8884254431699687}
+{"epoch": 2, "train_loss": 0.16042823203776663, "acc": 0.8842544316996872, "f1": 0.8508064516129032, "precision": 0.8274509803921568, "recall": 0.8755186721991701, "score": 0.8842544316996872}
+{"epoch": 3, "train_loss": 0.12056007395591739, "acc": 0.8753910323253389, "f1": 0.8422442244224423, "precision": 0.8055555555555556, "recall": 0.8824343015214384, "score": 0.8753910323253389}

20260305_150950/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,2879,0.8621048975338659,0.8247240618101546,0.7948936170212766,0.8568807339449541,0.37860368183397014,0.6213963181660299

20260305_150950/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_150950,outputs/task1_positive_binary_runs/20260305_150950/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8621048975338659,0.8247240618101546,0.7948936170212766,0.8568807339449541,0.37860368183397014,0.6213963181660299

20260305_150950/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": 0.8621048975338659,
+    "f1": 0.8247240618101546,
+    "precision": 0.7948936170212766,
+    "recall": 0.8568807339449541
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.37860368183397014,
+    "always_decline_acc": 0.6213963181660299
+  }
+}