Update README.md

README.md

@@ -10,14 +10,16 @@ metrics:
 model-index:
 - name: codebert-code-clone-detector
   results: []
+license: mit
+pipeline_tag: sentence-similarity
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+
 
 # codebert-code-clone-detector
 
-This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on the None dataset.
+This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on a Code Clone Benchmark dataset.
+See this [github repository](https://github.com/LucK1Y/CodeCloneBERT) for more information.
 It achieves the following results on the evaluation set:
 - Loss: 0.3452
 - Accuracy: 0.9525
@@ -67,4 +69,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.3
 - Pytorch 2.1.2
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2