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@@ -36,3 +36,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 20260222_105221/analysis_bundle/cartography/task1_cartography.csv filter=lfs diff=lfs merge=lfs -text
 20260222_105221/analysis_bundle/cartography/task1_cartography.png filter=lfs diff=lfs merge=lfs -text
 20260222_105221/analysis_bundle/predictions/final_eval_predictions.csv filter=lfs diff=lfs merge=lfs -text
+20260223_080517/analysis_bundle/predictions/final_eval_predictions.csv filter=lfs diff=lfs merge=lfs -text
+20260223_080517/analysis_bundle/predictions/final_eval_predictions_evalonly.csv filter=lfs diff=lfs merge=lfs -text

20260223_080517/analysis_bundle/metrics/metrics.jsonl

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+{"epoch": 2, "train_loss": 0.04488198762168418, "acc": 0.8764393268379097, "f1": 0.8263845675171126, "precision": 0.7597254004576659, "recall": 0.9058663028649386, "score": 0.8764393268379097}
+{"epoch": 3, "train_loss": 0.03135902374643295, "acc": 0.8795394154118689, "f1": 0.8276299112801014, "precision": 0.7727810650887574, "recall": 0.8908594815825375, "score": 0.8795394154118689}
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20260223_080517/analysis_bundle/predictions/final_eval_predictions.csv

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+size 11183218

20260223_080517/analysis_bundle/predictions/final_eval_predictions_evalonly.csv

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20260223_080517/analysis_bundle/summaries/final_eval_summary.csv

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+dataset,rows_evaluated,acc,f1,precision,recall,always_pick_acc,always_decline_acc
+data_for_deberta/dedup_split/positive_test.csv,3389,0.8861020950132783,0.8361629881154499,0.7848605577689243,0.8946412352406903,0.3248745942755975,0.6751254057244025

20260223_080517/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/20260223_080517,outputs/task1_positive_binary_runs/20260223_080517/best_model.pt,data_for_deberta/dedup_split/positive_test.csv,3389,3389,0.8861020950132783,0.8361629881154499,0.7848605577689243,0.8946412352406903,0.3248745942755975,0.6751254057244025

20260223_080517/analysis_bundle/summaries/summary.json

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+{
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+  "val_rows": 2258,
+  "final_eval_rows": 3389,
+  "val_metrics": {
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+    "precision": 0.7903614457831325,
+    "recall": 0.8949522510231923
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+  "final_eval_metrics": {
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+    "f1": 0.8361629881154499,
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+  "final_eval_baseline": {
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+    "always_decline_acc": 0.6751254057244025
+  }
+}