Upload folder using huggingface_hub

.gitattributes

@@ -48,3 +48,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260305_143247/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260305_160843/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260305_160843/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
+20260305_234210/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
+20260305_234210/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text

20260305_234210/analysis_bundle/cartography/summary.json

@@ -0,0 +1,7 @@
+{
+  "epochs": 9,
+  "task1_rows": 17206,
+  "task1_lowmean_threshold": 0.3295763455331326,
+  "task1_suspects": 87,
+  "plot_saved": true
+}

20260305_234210/analysis_bundle/cartography/task1_cartography.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3421cfaaf9514f5491d2bd876b14279ceca1789a5a83fe9cd0b5797eb2baa7f0
+size 62157379

20260305_234210/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,9 @@
+{"epoch": 1, "train_loss": 0.2504281156755236, "acc": 0.8280354351224596, "f1": 0.7730398899587345, "precision": 0.6386363636363637, "recall": 0.9790940766550522, "selection_score": 0.727772069753192, "score": 0.727772069753192}
+{"epoch": 2, "train_loss": 0.13862331558822144, "acc": 0.8400208441896821, "f1": 0.7860627177700349, "precision": 0.6550522648083623, "recall": 0.9825783972125436, "selection_score": 0.7438427545041579, "score": 0.7438427545041579}
+{"epoch": 3, "train_loss": 0.10752340027072284, "acc": 0.8264721208963002, "f1": 0.7708189951823813, "precision": 0.6370875995449374, "recall": 0.975609756097561, "selection_score": 0.72592018306193, "score": 0.72592018306193}
+{"epoch": 4, "train_loss": 0.09520636254152955, "acc": 0.8759770713913496, "f1": 0.8218562874251497, "precision": 0.7204724409448819, "recall": 0.9564459930313589, "selection_score": 0.801667434464101, "score": 0.801667434464101}
+{"epoch": 5, "train_loss": 0.08266666641313458, "acc": 0.883793642522147, "f1": 0.8316981132075472, "precision": 0.7336884154460719, "recall": 0.9599303135888502, "selection_score": 0.8141729129813338, "score": 0.8141729129813338}
+{"epoch": 6, "train_loss": 0.07137370736210098, "acc": 0.8806670140698281, "f1": 0.8279489105935387, "precision": 0.7278731836195509, "recall": 0.9599303135888502, "selection_score": 0.8088862102259788, "score": 0.8088862102259788}
+{"epoch": 7, "train_loss": 0.0684460368748325, "acc": 0.8895257946847316, "f1": 0.8354037267080745, "precision": 0.7535014005602241, "recall": 0.9372822299651568, "selection_score": 0.8287328495010005, "score": 0.8287328495010005}
+{"epoch": 8, "train_loss": 0.0679263743298426, "acc": 0.8712871287128713, "f1": 0.8177121771217712, "precision": 0.7093469910371318, "recall": 0.9651567944250871, "selection_score": 0.7926178988910249, "score": 0.7926178988910249}
+{"epoch": 9, "train_loss": 0.06160068674684679, "acc": 0.8884835852006253, "f1": 0.8348765432098766, "precision": 0.7493074792243767, "recall": 0.9425087108013938, "selection_score": 0.8257644450023767, "score": 0.8257644450023767}

20260305_234210/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/risk_test.csv,2879,0.8912816950329976,0.831266846361186,0.7399232245681382,0.948339483394834,0.28238971865230983,0.7176102813476901

20260305_234210/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_binary_runs/20260305_234210,outputs/task1_binary_runs/20260305_234210/best_model.pt,data_for_deberta/dedup_split/risk_test.csv,2879,2879,0.8912816950329976,0.831266846361186,0.7399232245681382,0.948339483394834,0.28238971865230983,0.7176102813476901

20260305_234210/analysis_bundle/summaries/summary.json

@@ -0,0 +1,54 @@
+{
+  "best_epoch": 7,
+  "best_score": 0.8287328495010005,
+  "best_selection_score": 0.8287328495010005,
+  "best_val_metrics_at_selection": {
+    "acc": 0.8895257946847316,
+    "f1": 0.8354037267080745,
+    "precision": 0.7535014005602241,
+    "recall": 0.9372822299651568
+  },
+  "model_selection": {
+    "metric": "recall-floor-constrained-fbeta",
+    "beta": 0.5,
+    "recall_floor": 0.9,
+    "recall_floor_penalty": 2.0,
+    "acc_weight": 0.05
+  },
+  "data_provenance": {
+    "train_csv": {
+      "path": "data_for_deberta/Risk-only-pick/task1_risk_training_20260225.csv",
+      "sha256_16": "149b65cfd4785835",
+      "size_bytes": 61496472
+    },
+    "val_csv_source": {
+      "path": "data_for_deberta/dedup_split/risk_val.csv",
+      "sha256_16": "61c445d1558d1b34",
+      "size_bytes": 6044780
+    },
+    "final_eval_csv": {
+      "path": "data_for_deberta/dedup_split/risk_test.csv",
+      "sha256_16": "7bb9f6e80cd447ae",
+      "size_bytes": 9345127
+    }
+  },
+  "train_rows": 17206,
+  "val_rows": 1919,
+  "final_eval_rows": 2879,
+  "val_metrics": {
+    "acc": 0.8895257946847316,
+    "f1": 0.8354037267080745,
+    "precision": 0.7535014005602241,
+    "recall": 0.9372822299651568
+  },
+  "final_eval_metrics": {
+    "acc": 0.8912816950329976,
+    "f1": 0.831266846361186,
+    "precision": 0.7399232245681382,
+    "recall": 0.948339483394834
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.28238971865230983,
+    "always_decline_acc": 0.7176102813476901
+  }
+}