update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 37.1792
+      value: 38.0679
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,12 +31,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the aeslc dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.3592
-- Rouge1: 37.1792
-- Rouge2: 19.0765
-- Rougel: 36.297
-- Rougelsum: 36.3074
-- Gen Len: 8.5031
+- Loss: 4.6657
+- Rouge1: 38.0679
+- Rouge2: 19.8904
+- Rougel: 37.1179
+- Rougelsum: 37.1066
+- Gen Len: 9.1316
 
 ## Model description
 
@@ -61,14 +61,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
-| 2.4786        | 1.0   | 7218 | 4.3592          | 37.1792 | 19.0765 | 36.297 | 36.3074   | 8.5031  |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.6268        | 1.0   | 7218  | 4.4738          | 36.0615 | 18.1082 | 35.2023 | 35.175    | 8.0694  |
+| 1.9548        | 2.0   | 14436 | 4.4965          | 37.1784 | 19.2713 | 36.2803 | 36.2347   | 9.2699  |
+| 1.4117        | 3.0   | 21654 | 4.6657          | 38.0679 | 19.8904 | 37.1179 | 37.1066   | 9.1316  |
 
 
 ### Framework versions