Update README.md

README.md

@@ -56,27 +56,23 @@ You can use this model directly with a pipeline for masked language modeling:
   '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
+# Finetuning
 
-|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|
+This model was finetuned and evaluated on the following **Amharic NLP** tasks
 
-### Named Entity Recognition
-The model was finetuned on the [amharic-named-entity-recognition](https://huggingface.co/datasets/rasyosef/amharic-named-entity-recognition) dataset.
+- Sentiment Classification
+  - Dataset: [amharic-sentiment](https://huggingface.co/datasets/rasyosef/amharic-sentiment)
+- Named Entity Recognition
+  - Dataset: [amharic-named-entity-recognition](https://huggingface.co/datasets/rasyosef/amharic-named-entity-recognition)
 
-|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|
+### Finetuned Model Performance
+The reported F1 scores are macro averages.
+
+|Model|Size (# params)| Perplexity|Sentiment (F1)| Named Entity Recognition (F1)|
+|-----|---------------|-----------|--------------|------------------------------|
+|bert-medium-amharic|40.5M|13.74|0.83|0.68|
+|bert-small-amharic|27.8M|15.96|0.83|0.68|
+|bert-mini-amharic|10.7M|22.42|0.81|0.64|
+|**bert-tiny-amharic**|**4.18M**|**71.52**|**0.79**|**0.54**|
+|xlm-roberta-base|279M||0.83|0.73|
+|am-roberta|443M||0.82|0.69|