update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.16466172750612934
+      value: 0.1510358452879352
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the crd3 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.8082
-- Rouge1: 0.1647
-- Rouge2: 0.0348
-- Rougel: 0.1376
-- Rougelsum: 0.1488
+- Loss: 3.8193
+- Rouge1: 0.1510
+- Rouge2: 0.0279
+- Rougel: 0.1251
+- Rougelsum: 0.1355
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| No log        | 1.0   | 250  | 2.9780          | 0.1772 | 0.0578 | 0.1547 | 0.1617    |
-| 1.8204        | 2.0   | 500  | 3.3771          | 0.1685 | 0.0331 | 0.1404 | 0.1496    |
-| 1.8204        | 3.0   | 750  | 3.8082          | 0.1647 | 0.0348 | 0.1376 | 0.1488    |
+| No log        | 1.0   | 250  | 2.9569          | 0.1762 | 0.0485 | 0.1525 | 0.1605    |
+| 1.7993        | 2.0   | 500  | 3.4079          | 0.1612 | 0.0286 | 0.1367 | 0.1444    |
+| 1.7993        | 3.0   | 750  | 3.8193          | 0.1510 | 0.0279 | 0.1251 | 0.1355    |
 
 
 ### Framework versions