Update README.md

README.md

@@ -9,6 +9,8 @@ metrics:
 model-index:
 - name: vulnerability-severity-classification-chinese-macbert-base
   results: []
+datasets:
+- CIRCL/Vulnerability-CNVD
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,23 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vulnerability-severity-classification-chinese-macbert-base
 
-This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
+This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on the dataset [CIRCL/Vulnerability-CNVD](https://huggingface.co/datasets/CIRCL/Vulnerability-CNVD).
+
+You can read [this page](https://www.vulnerability-lookup.org/user-manual/ai/) for more information.
+
 It achieves the following results on the evaluation set:
 - Loss: 0.6177
 - Accuracy: 0.7801
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
 ### Training hyperparameters
@@ -62,4 +55,4 @@ The following hyperparameters were used during training:
 - Transformers 4.51.3
 - Pytorch 2.7.1+cu126
 - Datasets 3.6.0
-- Tokenizers 0.21.1
+- Tokenizers 0.21.1