experiments

metrics/bart_score.py

@@ -23,11 +23,13 @@ def get_scorers():
 
 
 def compute_bart_score_for_scorer(predictions, references, scorer_name, scorer):
-    #precisions = np.array(scorer.score(references, predictions, batch_size=4))
-    recalls = np.array(scorer.score(predictions, references, batch_size=4))
+    #precisions = np.array(scorer.score(references, predictions, batch_size=40))
+    recalls = np.array(scorer.score(predictions, references, batch_size=40))
     #f_scores = 0.5 * (precisions + recalls)
-    baselines = np.array(scorer.score(references, references, batch_size=4))
+    baselines = np.array(scorer.score(references, references, batch_size=40))
     normalized = baselines / recalls
+    diffs = recalls - baselines
+    expdiffs = diffs.exp()
 
     return [
         {
@@ -35,6 +37,8 @@ def compute_bart_score_for_scorer(predictions, references, scorer_name, scorer):
             #f"{scorer_name}_precision": precisions[i],
             f"{scorer_name}_recall": recalls[i],
             f"{scorer_name}_normalized": normalized[i],
+            f"{scorer_name}_diffs": diffs[i],
+            f"{scorer_name}_expdiffs": expdiffs[i],
         }
         for i in range(len(predictions))
     ]