Update README.md

README.md

@@ -83,8 +83,7 @@ license: apache-2.0
 ---
 
 This is an improved version of [AfriCOMET-STL (single task)](https://github.com/masakhane-io/africomet) evaluation model: It receives a triplet with (source sentence, translation, reference translation) and returns a score that reflects the quality of the translation compared to both source and reference.
-
-Different from the original AfriCOMET-STL, this MT evaluation model is based on an improved African enhanced encoder, [afro-xlmr-large-76L](https://huggingface.co/Davlan/afro-xlmr-large-76L), which leads better performance on quality estimation of African-related machine translation, verified in WMT 2024 Metrics Shared Task.
+Different from the original AfriCOMET-STL, this MT evaluation model is based on an improved African enhanced encoder, [afro-xlmr-large-76L](https://huggingface.co/Davlan/afro-xlmr-large-76L), which leads better performance on African-related machine translation evaluation, verified in WMT 2024 Metrics Shared Task.
 
 # Paper
 
@@ -114,7 +113,7 @@ Or using Python:
 ```python
 from comet import download_model, load_from_checkpoint
 
-model_path = download_model("masakhane/africomet-stl")
+model_path = download_model("masakhane/africomet-stl-1.1")
 model = load_from_checkpoint(model_path)
 data = [
     {