Round evaluation metrics for improved precision in scoring results

medvqa/submission_samples/gi-2025/submission_task1.py

@@ -110,11 +110,12 @@ preds = [pred['answer'] for pred in predictions]
 bleu_result = bleu.compute(predictions=preds, references=references)
 rouge_result = rouge.compute(predictions=preds, references=references)
 meteor_result = meteor.compute(predictions=preds, references=references)
-bleu_score = bleu_result['bleu']
-rouge1_score = float(rouge_result['rouge1'])
-rouge2_score = float(rouge_result['rouge2'])
-rougeL_score = float(rouge_result['rougeL'])
-meteor_score = float(meteor_result['meteor'])
+bleu_score = round(bleu_result['bleu'], 2)
+rouge1_score = round(float(rouge_result['rouge1']), 2)
+rouge2_score = round(float(rouge_result['rouge2']), 2)
+rougeL_score = round(float(rouge_result['rougeL']), 2)
+meteor_score = round(float(meteor_result['meteor']), 2)
+
 public_scores = {
     'bleu': bleu_score,
     'rouge1': rouge1_score,