update model card README.md

README.md

@@ -1,6 +1,5 @@
 ---
 license: apache-2.0
-base_model: facebook/bart-base
 tags:
 - generated_from_trainer
 metrics:
@@ -15,13 +14,17 @@ 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: 2.7340
-- Rouge1: 8.5508
-- Rouge2: 2.1973
-- Rougel: 6.915
-- Rougelsum: 8.3526
+- Loss: 1.1545
+- Rouge1: 15.6747
+- Rouge2: 11.2773
+- Rougel: 14.9081
+- Rougelsum: 15.4666
+- Bleu-1: 0.0052
+- Bleu-2: 0.0047
+- Bleu-3: 0.0045
+- Bleu-4: 0.0043
 - Gen Len: 20.0
 
 ## Model description
@@ -51,14 +54,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 2.002         | 1.0   | 37884 | 2.7340          | 8.5508 | 2.1973 | 6.915  | 8.3526    | 20.0    |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:------:|:-------:|
+| 2.2196        | 1.0   | 28600 | 1.1545          | 15.6747 | 11.2773 | 14.9081 | 15.4666   | 0.0052 | 0.0047 | 0.0045 | 0.0043 | 20.0    |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.30.2
 - Pytorch 2.0.0
 - Datasets 2.1.0
 - Tokenizers 0.13.3