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20260301_000710/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,5 @@
+{"epoch": 1, "train_loss": 0.24004656176959774, "acc": 0.8480290456431535, "f1": 0.7926397735314933, "precision": 0.8333333333333334, "recall": 0.7557354925775979, "score": 0.8480290456431535}
+{"epoch": 2, "train_loss": 0.0988982354809275, "acc": 0.8703319502074689, "f1": 0.8271092669432918, "precision": 0.8482269503546099, "recall": 0.8070175438596491, "score": 0.8703319502074689}
+{"epoch": 3, "train_loss": 0.06309352191602827, "acc": 0.883298755186722, "f1": 0.8407643312101911, "precision": 0.8839285714285714, "recall": 0.8016194331983806, "score": 0.883298755186722}
+{"epoch": 4, "train_loss": 0.03914600953139362, "acc": 0.8604771784232366, "f1": 0.8066139468008627, "precision": 0.8630769230769231, "recall": 0.757085020242915, "score": 0.8604771784232366}
+{"epoch": 5, "train_loss": 0.021514083051260083, "acc": 0.8552904564315352, "f1": 0.8011404133998574, "precision": 0.8489425981873112, "recall": 0.7584345479082322, "score": 0.8552904564315352}

20260301_000710/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_val.csv,1928,0.883298755186722,0.8407643312101911,0.8839285714285714,0.8016194331983806,0.38433609958506226,0.6156639004149378

20260301_000710/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/20260301_000710,outputs/task1_positive_binary_runs/20260301_000710/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2893,2893,0.8790183200829589,0.834593572778828,0.8665358194308145,0.804922515952598,0.3791911510542689,0.6208088489457311

20260301_000710/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
+  "best_epoch": 3,
+  "best_score": 0.883298755186722,
+  "train_rows": 19719,
+  "val_rows": 1928,
+  "final_eval_rows": 1928,
+  "val_metrics": {
+    "acc": 0.883298755186722,
+    "f1": 0.8407643312101911,
+    "precision": 0.8839285714285714,
+    "recall": 0.8016194331983806
+  },
+  "final_eval_metrics": {
+    "acc": 0.883298755186722,
+    "f1": 0.8407643312101911,
+    "precision": 0.8839285714285714,
+    "recall": 0.8016194331983806
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.38433609958506226,
+    "always_decline_acc": 0.6156639004149378
+  }
+}