Update README.md

README.md

@@ -1,6 +1,8 @@
 ---
 library_name: peft
 base_model: roberta-base
+language:
+- en
 ---
 
 # Model Card for Model ID
@@ -10,12 +12,17 @@ base_model: roberta-base
 
 
 ## Model Details
+This model is a fine-tuned version of roberta-base using LoRA specifically for a binary classification task containing 
+emails (subject + message) and a label whether it is spam or ham. 
 
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
-
-
+The base model for this fine-tuning is roberta-base, which is a transformer-based model pre-trained on a large corpus of English data in a self-supervised fashion. 
+RoBERTa is an optimized version of BERT, designed to perform better on natural language understanding tasks.
+We have applied LoRA to adapt the original RoBERTa model to the specific nuances of our binary classification problem. 
+LoRA introduces low-rank matrices that are trained during the fine-tuning process, enabling the model to learn task-specific 
+adaptations without altering the pre-trained weights directly.
 
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]