update model card README.md

README.md

@@ -1,10 +1,7 @@
 ---
 license: apache-2.0
-base_model: facebook/bart-base
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: bart-base-finetuned-xsum
   results: []
@@ -15,14 +12,7 @@ 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 an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.6613
-- Rouge1: 11.5727
-- Rouge2: 5.7397
-- Rougel: 9.5086
-- Rougelsum: 10.5955
-- Gen Len: 20.0
+This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
 
 ## Model description
 
@@ -49,16 +39,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 1
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
-| 1.6985        | 1.0   | 15011 | 1.6613          | 11.5727 | 5.7397 | 9.5086 | 10.5955   | 20.0    |
-
-
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.4
+- Transformers 4.30.2
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.13.3