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@@ -54,3 +54,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260306_031627/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260306_052539/analysis_bundle/cartography/task1_cartography.csv 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_070444/analysis_bundle/cartography/summary.json

@@ -0,0 +1,7 @@
+{
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+  "task1_rows": 19481,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 1068,
+  "plot_saved": true
+}

20260306_070444/analysis_bundle/cartography/task1_cartography.csv

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+oid sha256:5f909dbb86f9e4087a07aacf9edcb5ddd1946774413400934d02010e2b425910
+size 68941197

20260306_070444/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,4 @@
+{"epoch": 1, "train_loss": 0.29816600656800574, "acc": 0.859822824387702, "f1": 0.7969811320754717, "precision": 0.8288854003139717, "recall": 0.7674418604651163, "score": 0.859822824387702}
+{"epoch": 2, "train_loss": 0.14779495877903476, "acc": 0.8603439291297551, "f1": 0.7957317073170732, "precision": 0.8365384615384616, "recall": 0.7587209302325582, "score": 0.8603439291297551}
+{"epoch": 3, "train_loss": 0.11764270120739252, "acc": 0.8436685773840542, "f1": 0.775112443778111, "precision": 0.8003095975232198, "recall": 0.751453488372093, "score": 0.8436685773840542}
+{"epoch": 4, "train_loss": 0.09524708173936615, "acc": 0.8603439291297551, "f1": 0.8, "precision": 0.8220858895705522, "recall": 0.7790697674418605, "score": 0.8603439291297551}

20260306_070444/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,2879,0.8499478985758944,0.7902912621359224,0.8323108384458078,0.7523105360443623,0.3758249392150052,0.6241750607849947

20260306_070444/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/20260306_070444,outputs/task1_positive_binary_runs/20260306_070444/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8499478985758944,0.7902912621359224,0.8323108384458078,0.7523105360443623,0.3758249392150052,0.6241750607849947

20260306_070444/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
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+  "best_score": 0.8603439291297551,
+  "train_rows": 19481,
+  "val_rows": 1919,
+  "final_eval_rows": 2879,
+  "val_metrics": {
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+    "f1": 0.7957317073170732,
+    "precision": 0.8365384615384616,
+    "recall": 0.7587209302325582
+  },
+  "final_eval_metrics": {
+    "acc": 0.8499478985758944,
+    "f1": 0.7902912621359224,
+    "precision": 0.8323108384458078,
+    "recall": 0.7523105360443623
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.3758249392150052,
+    "always_decline_acc": 0.6241750607849947
+  }
+}