Update README.md

README.md

@@ -53,7 +53,10 @@ model-index:
     - name: Root Mean Squared Error
       type: RMSE
       value: 0.2375
-    
+metrics:
+- pearsonr
+- mae
+- r_squared
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -67,10 +70,16 @@ on the [ymoslem/wmt-da-human-evaluation](https://huggingface.co/ymoslem/wmt-da-h
 It achieves the following results on the evaluation set:
 - Loss: 0.0564
 
+## Model description
+
+This model is for reference-free quality estimation (QE) of machine translation (MT) systems.
+
 ## Training procedure
 
 ### Training hyperparameters
 
+This version of the model uses `tokenizer.model_max_length` 512
+
 The following hyperparameters were used during training:
 - learning_rate: 8e-05
 - train_batch_size: 128
@@ -223,6 +232,4 @@ with torch.no_grad():
 
         # Extend the list with the predictions
         predictions.extend(batch_predictions.tolist())
-```
-
-
+```