Update README.md

README.md

@@ -54,4 +54,29 @@ You can use this model directly with a pipeline for masked language modeling:
   'token': 15098,
   'token_str': 'ዘመናት',
   'sequence': 'ከሀገራቸው ከኢትዮጵያ ከወጡ ግማሽ ምዕተ ዘመናት ተቆጥሯል ።'}]
-```
+```
+
+### 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|