update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: facebook/bart-base
 tags:
 - generated_from_trainer
 metrics:
@@ -14,13 +15,13 @@ 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 [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8406
-- Rouge1: 10.5094
-- Rouge2: 4.8248
-- Rougel: 8.558
-- Rougelsum: 9.8351
+- Loss: 1.7781
+- Rouge1: 10.628
+- Rouge2: 4.8131
+- Rougel: 8.5827
+- Rougelsum: 9.9039
 - Gen Len: 20.0
 
 ## Model description
@@ -41,8 +42,8 @@ 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
@@ -50,14 +51,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
-| 1.738         | 1.0   | 3094 | 1.8406          | 10.5094 | 4.8248 | 8.558  | 9.8351    | 20.0    |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.6643        | 1.0   | 6188 | 1.7781          | 10.628 | 4.8131 | 8.5827 | 9.9039    | 20.0    |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
-- Pytorch 2.0.0
-- Datasets 2.1.0
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
 - Tokenizers 0.13.3