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README.md

@@ -1,6 +1,11 @@
 ---
-library_name: transformers
-tags: []
+language: am
+library_name: pytorch
+license: apache-2.0
+tags:
+- amharic
+- semantic-classification
+- xlm-roberta
 ---
 
 # Model Card for Model ID
@@ -15,14 +20,14 @@ tags: []
 
 <!-- Provide a longer summary of what this model is. -->
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+This model is a fine-tuned XLM-RoBERTa model for Amharic semantic classification tasks.
 
 - **Developed by:** [More Information Needed]
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+- **Language(s) (NLP):** am
+- **License:** apache-2.0
 - **Finetuned from model [optional]:** [More Information Needed]
 
 ### Model Sources [optional]
@@ -79,7 +84,7 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-[More Information Needed]
+Amharic semantic classification dataset
 
 ### Training Procedure