Update README.md

README.md

@@ -19,21 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 # BART-CNN-Convosumm
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the arg-filtered reddit part of [Convosumm](https://github.com/Yale-LILY/ConvoSumm) dataset.
-It achieves the following results on the evaluation set (50 data points):
-- Loss: 3.8797
-- Rouge1: 38.6252
-- Rouge2: 12.2556
-- Rougel: 23.902
-- Rougelsum: 34.6324
-- Gen Len: 81.28
+Model is trained for [multilanguage telegram-bot summarizer](https://github.com/akaRemeris/XLConvosumm-bot). 
 
-It achieves the following results on the test set (250 data points):
-- Loss: 3.8343
-- Rouge1: 38.3642
-- Rouge2: 12.2056
-- Rougel: 23.7782
-- Rougelsum: 34.3959
-- Gen Len: 84.132
 
 ## Model description
 
@@ -76,6 +63,21 @@ The following hyperparameters were used during training:
 | 2.9933        | 5.97  | 60   | 3.8809          | 38.66   | 12.3337 | 23.4394 | 35.1976   | 83.26   |
 | 2.834         | 6.97  | 70   | 3.8797          | 38.6252 | 12.2556 | 23.902  | 34.6324   | 81.28   |
 
+It achieves the following results on the evaluation set (50 data points):
+- Loss: 3.8797
+- Rouge1: 38.6252
+- Rouge2: 12.2556
+- Rougel: 23.902
+- Rougelsum: 34.6324
+- Gen Len: 81.28
+
+It achieves the following results on the test set (250 data points):
+- Loss: 3.8343
+- Rouge1: 38.3642
+- Rouge2: 12.2056
+- Rougel: 23.7782
+- Rougelsum: 34.3959
+- Gen Len: 84.132
 
 ### Framework versions