update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: bart-base-finetuned-xsum
   results: []
@@ -15,13 +13,6 @@ 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.
-It achieves the following results on the evaluation set:
-- Loss: 3.1493
-- Rouge1: 11.0265
-- Rouge2: 2.8217
-- Rougel: 8.9166
-- Rougelsum: 10.6684
-- Gen Len: 20.0
 
 ## Model description
 
@@ -41,20 +32,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 16
+- eval_batch_size: 16
 - 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 |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
-| 2.7852        | 1.0   | 23165 | 3.1493          | 11.0265 | 2.8217 | 8.9166 | 10.6684   | 20.0    |
-
-
 ### Framework versions
 
 - Transformers 4.30.2