update model card README.md

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.4268
-- Rougelsum: 24.2407
+- Loss: 1.6901
+- Rougelsum: 20.7527
 
 ## Model description
 
@@ -34,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-06
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -47,26 +47,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|
-| No log        | 1.0   | 355  | 1.6269          | 19.0683   |
-| 1.6035        | 2.0   | 710  | 1.6400          | 19.8336   |
-| 1.3505        | 3.0   | 1065 | 1.6525          | 20.9906   |
-| 1.3505        | 4.0   | 1420 | 1.7070          | 21.5381   |
-| 1.1756        | 5.0   | 1775 | 1.7348          | 22.6130   |
-| 1.0148        | 6.0   | 2130 | 1.8440          | 22.8553   |
-| 1.0148        | 7.0   | 2485 | 1.8460          | 23.1281   |
-| 0.8886        | 8.0   | 2840 | 1.9321          | 23.4357   |
-| 0.7687        | 9.0   | 3195 | 2.0124          | 23.3538   |
-| 0.6779        | 10.0  | 3550 | 2.0809          | 23.7958   |
-| 0.6779        | 11.0  | 3905 | 2.1312          | 23.5703   |
-| 0.5933        | 12.0  | 4260 | 2.2144          | 24.0672   |
-| 0.5283        | 13.0  | 4615 | 2.2463          | 23.9667   |
-| 0.5283        | 14.0  | 4970 | 2.3022          | 24.0211   |
-| 0.4885        | 15.0  | 5325 | 2.3010          | 24.2634   |
-| 0.4379        | 16.0  | 5680 | 2.3311          | 24.2333   |
-| 0.4085        | 17.0  | 6035 | 2.4048          | 24.2417   |
-| 0.4085        | 18.0  | 6390 | 2.4118          | 24.2201   |
-| 0.3821        | 19.0  | 6745 | 2.4237          | 24.2905   |
-| 0.3699        | 20.0  | 7100 | 2.4268          | 24.2407   |
+| No log        | 1.0   | 355  | 1.6295          | 17.7502   |
+| 1.6407        | 2.0   | 710  | 1.6144          | 18.5897   |
+| 1.4645        | 3.0   | 1065 | 1.6222          | 19.3778   |
+| 1.4645        | 4.0   | 1420 | 1.6522          | 19.6941   |
+| 1.3678        | 5.0   | 1775 | 1.6528          | 20.3110   |
+| 1.2671        | 6.0   | 2130 | 1.6879          | 20.6112   |
+| 1.2671        | 7.0   | 2485 | 1.6901          | 20.7527   |
 
 
 ### Framework versions