Update README.md

README.md

@@ -19,8 +19,12 @@ This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingf
 It achieves the following results on the evaluation set:
 - Loss: 0.3902
 - Bleu: 35.1914
-- Rouge: {'rouge1': 0.641952430267112, 'rouge2': 0.4572909036472911, 'rougeL': 0.607001331434416, 'rougeLsum': 0.6068905123656807}
-- Meteor: {'meteor': 0.5916610499445853}
+- Rouge
+  - Rouge1: 0.641952430267112
+  - Rouge2: 0.4572909036472911
+  - RougeL: 0.607001331434416
+  - RougeLsum: 0.6068905123656807
+- Meteor: 0.5916610499445853
 
 ## Model description
 
@@ -51,10 +55,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge                                                                                                                        | Meteor                         |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------------------------------------------------------------------------------------------------------------------------:|:------------------------------:|
-| 1.1677        | 1.0   | 750  | 0.3902          | 35.1914 | {'rouge1': 0.6419485887304972, 'rouge2': 0.45727961744986984, 'rougeL': 0.6069956611472951, 'rougeLsum': 0.6068859187671477} | {'meteor': 0.5916768663368279} |
-
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Rouge1 | Rouge2 | RougeL | RougeLsum | Meteor |
+|:-------------:|:-----:|:----:|:---------:|:-------:|:------:|:--------:|:------:|:---------:|:-----:|
+| 1.1677        | 1.0   | 750  | 0.3902          | 35.1914 | 0.6419 | 0.4573 | 0.6070 | 0.6069 | 0.5917 |
+* All values in the chart above are rounded to the nearest ten-thousandths.
 
 ### Framework versions