update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: bart-base-finetuned-xsum
   results: []
@@ -12,7 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bart-base-finetuned-xsum
 
-This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
+This model is a fine-tuned version of [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co/GuysTrans/bart-base-finetuned-xsum) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0749
+- Rouge1: 10.4139
+- Rouge2: 2.2402
+- Rougel: 8.3278
+- Rougelsum: 10.0298
+- Gen Len: 20.0
 
 ## Model description
 
@@ -32,13 +41,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
+| 2.645         | 1.0   | 23165 | 3.0749          | 10.4139 | 2.2402 | 8.3278 | 10.0298   | 20.0    |
+
+
 ### Framework versions
 
 - Transformers 4.30.2