Update README.md

README.md

@@ -57,15 +57,45 @@ You can use this model directly with a pipeline for masked language modeling:
 
 # Fine-tuning
 
-The following github repository contains a [notebook](https://github.com/rasyosef/amharic-news-category-classification/blob/main/%5Bbert-small-amharic%5D%20Amharic%20News%20Category%20Classification.ipynb) that fine-tunes this model for an Amharic text classification task. 
+This model was finetuned and evaluated on the following amharic nlp tasks
 
-https://github.com/rasyosef/amharic-news-category-classification
+- Text Classification
+- Sentiment Classification
+- Named Entity Recognition
 
-#### Fine-tuned Model Performance
-Since this is a multi-class classification task, the reported precision, recall, and f1 metrics are macro averages.
+The reported precision, recall, and f1 metrics 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-small-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|
+|**bert-small-amharic**|25.7M|0.89|0.86|0.87|0.86|
 |bert-mini-amharic|9.67M|0.87|0.83|0.83|0.83|
-|xlm-roberta-base|279M|0.9|0.88|0.88|0.88|
+|xlm-roberta-base|279M|0.9|0.88|0.88|0.88|
+
+### Sentiment Classification
+The model was finetuned on the [amharic-sentiment](https://huggingface.co/datasets/rasyosef/amharic-sentiment) 
+dataset to classify the given text as having `positive` or `negative` sentiment
+
+|Model|Size (# params)| Accuracy | Precision | Recall | F1 |
+| --- | ------------- | -------- | --------- | ------ | -- |
+|bert-medium-amharic|40.5M|0.83|0.83|0.82|0.83|
+|**bert-small-amharic**|27.8M|0.83|0.83|0.82|0.83|
+|bert-mini-amharic|10.7M|0.81|0.81|0.81|0.81|
+|bert-tiny-amharic|4.18M|0.79|0.79|0.79|0.79|
+|xlm-roberta-base|279M|0.83|0.83|0.83|0.83|
+|am-roberta|443M|0.82|0.83|0.82|0.82|
+
+### Named Entity Recognition
+The model was finetuned on the [amharic-named-entity-recognition](https://huggingface.co/datasets/rasyosef/amharic-named-entity-recognition) dataset.
+
+|Model|Size (# params)| Precision | Recall | F1 |
+| --- | ------------- | --------- |------- | -- |
+|bert-medium-amharic|40.5M|0.64|0.73|0.68|
+|**bert-small-amharic**|27.8M|0.64|0.72|0.68|
+|bert-mini-amharic|10.7M|0.60|0.67|0.64|
+|bert-tiny-amharic|4.18M|0.50|0.59|0.54|
+|xlm-roberta-base|279M|0.69|0.79|0.73|
+|am-roberta|443M|0.67|0.72|0.69|