update model card README.md

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1578
-- Rouge1: 0.4554
-- Rouge2: 0.1560
+- Loss: 2.1579
+- Rouge1: 0.4549
+- Rouge2: 0.1558
 - Rougel: 0.2432
-- Rougelsum: 0.2431
+- Rougelsum: 0.2434
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 2.2748        | 0.69  | 5000  | 2.2217          | 0.4501 | 0.1518 | 0.2416 | 0.2416    |
-| 2.0405        | 1.37  | 10000 | 2.1578          | 0.4554 | 0.1560 | 0.2432 | 0.2431    |
-| 1.9237        | 2.06  | 15000 | 2.1239          | 0.4551 | 0.1532 | 0.2402 | 0.2402    |
-| 1.904         | 2.75  | 20000 | 2.1116          | 0.4571 | 0.1557 | 0.2423 | 0.2422    |
-| 1.781         | 3.43  | 25000 | 2.1004          | 0.4543 | 0.1526 | 0.2406 | 0.2406    |
+| 2.2754        | 0.69  | 5000  | 2.2223          | 0.4507 | 0.1525 | 0.2422 | 0.2425    |
+| 2.0405        | 1.37  | 10000 | 2.1579          | 0.4549 | 0.1558 | 0.2432 | 0.2434    |
+| 1.9239        | 2.06  | 15000 | 2.1239          | 0.4543 | 0.1525 | 0.2396 | 0.2399    |
+| 1.9041        | 2.75  | 20000 | 2.1120          | 0.4575 | 0.1547 | 0.2413 | 0.2415    |
+| 1.7812        | 3.43  | 25000 | 2.1006          | 0.4532 | 0.1518 | 0.2400 | 0.2401    |
 
 
 ### Framework versions