Update README.md

README.md

@@ -56,15 +56,15 @@ You can use this model directly with a pipeline for masked language modeling:
 
 # Finetuning
 
-This model was finetuned and evaluated on the following amharic nlp tasks
+This model was finetuned and evaluated on the following Amharic NLP tasks
 
-- Sentiment Classification
+- **Sentiment Classification**
   - Dataset: [amharic-sentiment](https://huggingface.co/datasets/rasyosef/amharic-sentiment)
   - Code: https://github.com/rasyosef/amharic-sentiment-classification
-- Named Entity Recognition
+- **Named Entity Recognition**
   - Dataset: [amharic-named-entity-recognition](https://huggingface.co/datasets/rasyosef/amharic-named-entity-recognition)
   - Code: https://github.com/rasyosef/amharic-named-entity-recognition
-- News Category Classification
+- **News Category Classification**
   - Dataset: [amharic-news-category-classification](https://github.com/rasyosef/amharic-news-category-classification)
   - Code: https://github.com/rasyosef/amharic-news-category-classification
 
@@ -82,8 +82,6 @@ The reported F1 scores are macro averages.
 
 ### Amharic News Category Classification
 
-The following github repository contains a [notebook](https://github.com/rasyosef/amharic-news-category-classification/blob/main/%5Bbert-mini-amharic%5D%20Amharic%20News%20Category%20Classification.ipynb) that fine-tunes this model for an Amharic text classification task using the [amharic-news-category-classification](https://github.com/rasyosef/amharic-news-category-classification) dataset.
-
 |Model|Size(# params)|Accuracy|Precision|Recall|F1|
 |-----|--------------|--------|---------|------|--|
 |bert-small-amharic|25.7M|0.89|0.86|0.87|0.86|