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 [Gabriel/bart-base-cnn-swe](https://huggingface.co/Gabriel/bart-base-cnn-swe) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0253
-- Rouge1: 22.0568
-- Rouge2: 10.3302
-- Rougel: 18.0648
-- Rougelsum: 20.7482
-- Gen Len: 19.9996
+- Loss: 1.9598
+- Rouge1: 22.1847
+- Rouge2: 10.4718
+- Rougel: 18.2296
+- Rougelsum: 20.8603
+- Gen Len: 19.9964
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -55,13 +55,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.2349        | 1.0   | 17944 | 2.0643          | 21.9564 | 10.2133 | 17.9958 | 20.6502   | 19.9992 |
-| 2.0726        | 2.0   | 35888 | 2.0253          | 22.0568 | 10.3302 | 18.0648 | 20.7482   | 19.9996 |
+| 2.0969        | 1.0   | 17944 | 2.0137          | 22.0653 | 10.2668 | 18.0992 | 20.7207   | 19.9984 |
+| 1.904         | 2.0   | 35888 | 1.9598          | 22.1847 | 10.4718 | 18.2296 | 20.8603   | 19.9964 |
 
 
 ### Framework versions
 
-- Transformers 4.22.0
+- Transformers 4.22.1
 - Pytorch 1.12.1+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1