Update README.md

README.md

@@ -19,8 +19,11 @@ This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingf
 It achieves the following results on the evaluation set:
 - Loss: 1.2342
 - Bleu: 35.5931
-- Rouge: {'rouge1': 0.5803386608353808, 'rouge2': 0.3939141514072567, 'rougeL': 0.5438629663406402, 'rougeLsum': 0.544153348468965}
-- Meteor: {'meteor': 0.5500546034636025}
+- Rouge1: 0.5803386608353808
+- Rouge2: 0.3939141514072567
+- RougeL: 0.5438629663406402
+- RougeLsum: 0.544153348468965
+- Meteor: 0.5500546034636025
 
 ## Model description
 
@@ -49,10 +52,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge                                                                                                                      | Meteor                         |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------------------------------------------------------------------------------------------------------------------------:|:------------------------------:|
-| 1.7738        | 1.0   | 900  | 1.2342          | 35.7436 | {'rouge1': 0.5805815969432273, 'rouge2': 0.3941222478624937, 'rougeL': 0.544162316313326, 'rougeLsum': 0.5444260344836553} | {'meteor': 0.5511605039667078} |
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge1 | Rouge2 | RougeL | RougeLsum | Meteor |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
+| 1.7738        | 1.0   | 900  | 1.2342          | 35.7436 | 0.5806 | 0.3941 | 0.5442 | 0.5444 | 0.5512 |
 
+* All values in the chart above are rounded to near ten-thousandth.
 
 ### Framework versions