Upload folder using huggingface_hub

.gitattributes

@@ -50,3 +50,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260305_170447/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260306_010338/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260306_010338/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
+20260306_031627/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
+20260306_031627/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text

20260306_031627/analysis_bundle/cartography/summary.json

@@ -0,0 +1,7 @@
+{
+  "epochs": 4,
+  "task1_rows": 19481,
+  "task1_lowmean_threshold": 0.0,
+  "task1_suspects": 1068,
+  "plot_saved": true
+}

20260306_031627/analysis_bundle/cartography/task1_cartography.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f77ece716415f08160b987837aec49ba196c1795b7a572cc62f2d7441c11bbe8
+size 68941424

20260306_031627/analysis_bundle/metrics/metrics.jsonl

@@ -0,0 +1,4 @@
+{"epoch": 1, "train_loss": 0.29818891682501497, "acc": 0.8593017196456487, "f1": 0.7963800904977375, "precision": 0.8275862068965517, "recall": 0.7674418604651163, "score": 0.8593017196456487}
+{"epoch": 2, "train_loss": 0.15053773183858846, "acc": 0.8603439291297551, "f1": 0.7957317073170732, "precision": 0.8365384615384616, "recall": 0.7587209302325582, "score": 0.8603439291297551}
+{"epoch": 3, "train_loss": 0.11738041285211327, "acc": 0.853048462741011, "f1": 0.7901785714285714, "precision": 0.8094512195121951, "recall": 0.7718023255813954, "score": 0.853048462741011}
+{"epoch": 4, "train_loss": 0.09615329143167618, "acc": 0.8457529963522668, "f1": 0.7676609105180534, "precision": 0.8344709897610921, "recall": 0.7107558139534884, "score": 0.8457529963522668}

20260306_031627/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,2879,0.8548106981590831,0.7984570877531341,0.8346774193548387,0.7652495378927912,0.3758249392150052,0.6241750607849947

20260306_031627/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_031627,outputs/task1_positive_binary_runs/20260306_031627/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,2879,2879,0.8548106981590831,0.7984570877531341,0.8346774193548387,0.7652495378927912,0.3758249392150052,0.6241750607849947

20260306_031627/analysis_bundle/summaries/summary.json

@@ -0,0 +1,23 @@
+{
+  "best_epoch": 2,
+  "best_score": 0.8603439291297551,
+  "train_rows": 19481,
+  "val_rows": 1919,
+  "final_eval_rows": 2879,
+  "val_metrics": {
+    "acc": 0.8603439291297551,
+    "f1": 0.7957317073170732,
+    "precision": 0.8365384615384616,
+    "recall": 0.7587209302325582
+  },
+  "final_eval_metrics": {
+    "acc": 0.8548106981590831,
+    "f1": 0.7984570877531341,
+    "precision": 0.8346774193548387,
+    "recall": 0.7652495378927912
+  },
+  "final_eval_baseline": {
+    "always_pick_acc": 0.3758249392150052,
+    "always_decline_acc": 0.6241750607849947
+  }
+}