Update README.md

README.md

@@ -16,24 +16,26 @@ should probably proofread and complete it, then remove this comment. -->
 
 # turkish-medical-question-answering
 
+## Model description
+
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) optimized for medical domain question answering in Turkish using incidelen/MedTurkQuAD dataset. 
 It uses a BERT-based architecture with additional dropout regularization to prevent overfitting and is specifically trained to extract answers from medical text contexts.
 
 
-It achieves the following results on the evaluation set:
+It achieves the following results on the test evaluation set:
 - Loss: 1.2814
 - Exact Match: 52.7881
 - F1: 76.1437
 
 Validation Metrics
-{'eval_loss': 1.2329986095428467, 
-'eval_exact_match': 56.52724968314322, 
-'eval_f1': 76.17448254104453}
+ - eval_loss': 1.2329986095428467
+ - eval_exact_match': 56.52724968314322
+ - eval_f1': 76.17448254104453
 
 Test Metrics
-{'eval_loss': 1.2814178466796875, 
-'eval_exact_match': 52.78810408921933, 
-'eval_f1': 76.14367323441282}
+ - eval_loss: 1.2814178466796875
+ - eval_exact_match: 52.78810408921933
+ - eval_f1: 76.14367323441282
 
 ## Usage
 ```python
@@ -94,9 +96,7 @@ pipe(question=question, context=context)
 
 ```
 
-## Model description
 
-More information needed
 
 ## Intended uses & limitations