update model card README.md

README.md

@@ -15,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # barthez-orange-ft
 
-This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the REFOMED dataset.
+This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1792
-- Rouge1: 0.6715
-- Rouge2: 0.6537
-- Rougel: 0.6717
-- Rougelsum: 0.6717
+- Loss: 0.1689
+- Rouge1: 0.6719
+- Rouge2: 0.6536
+- Rougel: 0.6719
+- Rougelsum: 0.6722
 - Gen Len: 20.0
 
 ## Model description
@@ -49,17 +49,32 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 31   | 0.2054          | 0.6716 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
-| No log        | 1.99  | 62   | 0.1884          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
-| No log        | 2.99  | 93   | 0.1824          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
-| No log        | 3.98  | 124  | 0.1798          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
-| No log        | 4.98  | 155  | 0.1792          | 0.6715 | 0.6537 | 0.6717 | 0.6717    | 20.0    |
+| No log        | 1.0   | 31   | 4.6662          | 0.6719 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 1.99  | 62   | 0.6939          | 0.6718 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 2.99  | 93   | 0.2939          | 0.6718 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 3.98  | 124  | 0.2089          | 0.6719 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 4.98  | 155  | 0.1880          | 0.6719 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 5.98  | 186  | 0.1795          | 0.6719 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 6.97  | 217  | 0.1752          | 0.6719 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 8.0   | 249  | 0.1732          | 0.6719 | 0.6535 | 0.6718 | 0.6721    | 20.0    |
+| No log        | 9.0   | 280  | 0.1716          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 9.99  | 311  | 0.1707          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 10.99 | 342  | 0.1704          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 11.98 | 373  | 0.1696          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 12.98 | 404  | 0.1698          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 13.98 | 435  | 0.1695          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 14.97 | 466  | 0.1693          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| No log        | 16.0  | 498  | 0.1691          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| 0.9743        | 17.0  | 529  | 0.1691          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| 0.9743        | 17.99 | 560  | 0.1690          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| 0.9743        | 18.99 | 591  | 0.1689          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
+| 0.9743        | 19.92 | 620  | 0.1689          | 0.6719 | 0.6536 | 0.6719 | 0.6722    | 20.0    |
 
 
 ### Framework versions