update model card README.md

README.md

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5303
-- Rouge1: 0.8349
-- Rouge2: 0.1707
-- Rougel: 0.8186
-- Rougelsum: 0.8309
-- Gen Len: 19.3457
+- Loss: 2.4030
+- Rouge1: 0.9862
+- Rouge2: 0.2292
+- Rougel: 0.9902
+- Rougelsum: 0.9847
+- Gen Len: 19.3511
 
 ## Model description
 
@@ -46,15 +46,23 @@ 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: 2
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 2.8893        | 1.0   | 2556 | 2.5764          | 0.7631 | 0.1592 | 0.7567 | 0.7608    | 19.2665 |
-| 2.7276        | 2.0   | 5112 | 2.5303          | 0.8349 | 0.1707 | 0.8186 | 0.8309    | 19.3457 |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.8633        | 1.0   | 2556  | 2.5599          | 0.7861 | 0.1289 | 0.7656 | 0.7721    | 19.2354 |
+| 2.6525        | 2.0   | 5112  | 2.4824          | 0.7315 | 0.2374 | 0.7224 | 0.7357    | 19.261  |
+| 2.5068        | 3.0   | 7668  | 2.4404          | 0.7772 | 0.2114 | 0.7671 | 0.7861    | 19.3035 |
+| 2.4251        | 4.0   | 10224 | 2.4269          | 0.7464 | 0.2156 | 0.745  | 0.7504    | 19.2929 |
+| 2.3739        | 5.0   | 12780 | 2.4119          | 0.7642 | 0.1879 | 0.7729 | 0.7774    | 19.3573 |
+| 2.275         | 6.0   | 15336 | 2.4039          | 0.9048 | 0.1952 | 0.9198 | 0.9189    | 19.37   |
+| 2.2787        | 7.0   | 17892 | 2.4007          | 0.9913 | 0.2278 | 0.9951 | 1.0038    | 19.335  |
+| 2.2142        | 8.0   | 20448 | 2.4073          | 0.9736 | 0.238  | 0.9697 | 0.9773    | 19.3556 |
+| 2.1852        | 9.0   | 23004 | 2.4007          | 0.9825 | 0.2322 | 0.9891 | 0.9962    | 19.3213 |
+| 2.1597        | 10.0  | 25560 | 2.4030          | 0.9862 | 0.2292 | 0.9902 | 0.9847    | 19.3511 |
 
 
 ### Framework versions