Update README.md

README.md

@@ -9,6 +9,8 @@ metrics:
 model-index:
 - name: vulnerability-severity-classification-roberta-base
   results: []
+datasets:
+- CIRCL/vulnerability-scores
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,14 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vulnerability-severity-classification-roberta-base
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [RoBERTa-base](https://huggingface.co/FacebookAI/roberta-base) on the dataset [CIRCL/vulnerability-scores](https://huggingface.co/datasets/CIRCL/vulnerability-scores).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.6501
 - Accuracy: 0.7607
 
 ## Model description
 
-More information needed
+It is a classification model and is aimed to assist in classifying vulnerabilities by severity based on their descriptions.
 
 ## Intended uses & limitations
 
@@ -62,4 +65,4 @@ The following hyperparameters were used during training:
 - Transformers 4.49.0
 - Pytorch 2.6.0+cu124
 - Datasets 3.3.2
-- Tokenizers 0.21.0
+- Tokenizers 0.21.0