Update README.md

README.md

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-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
+# Model Card for distilbert-base-task-multi-label-classification Model
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+This model is based on the distillation of the BERT base model, which is a widely used language model. 
+The distillation process involves training a smaller model to mimic the behavior and predictions of the larger BERT model. 
+The purpose of this model is to perform fine-tuning on the distilbert-base-pwc-task-multi-label-classification checkpoint for multi-label classification tasks.
 
+Fine-tuning approach can be applied to other models such as RoBERTa, DeBERTa, DistilBERT, CANINE, and more. The notebook provides a practical guide for utilizing these models in various classification scenarios. 
 
 
 - **Developed by:** Lina Saba
@@ -27,7 +26,7 @@ This modelcard aims to be a base template for new models. It has been generated
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
+- **Repository:** https://colab.research.google.com/drive/1Z314gK2qixK_0ujgQ3nvqvar1iV3QnoF?usp=sharing
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
@@ -60,19 +59,8 @@ from 2011 that have been manually annotated for various forms of incivility incl
 ## Bias, Risks, and Limitations
 
 Technical limitations : 
-        - Can't print more than one identified label. 
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
+        - Can't print more than one identified label using pipeline. 
+        - Half of the test results aren't exactly the same as what expected
 
 ## Training Details