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 +14,13 @@ 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 an unknown dataset.
+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: 1.8239
-- Rouge1: 10.4203
-- Rouge2: 5.4986
-- Rougel: 8.9779
-- Rougelsum: 9.9702
+- Loss: 1.7802
+- Rouge1: 10.2143
+- Rouge2: 5.6684
+- Rougel: 8.8677
+- Rougelsum: 9.8692
 - Gen Len: 20.0
 
 ## Model description
@@ -42,23 +41,32 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- 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
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
-| 1.1654        | 1.0   | 2003 | 1.8239          | 10.4203 | 5.4986 | 8.9779 | 9.9702    | 20.0    |
+| 3.1154        | 1.0   | 501  | 2.1511          | 10.4214 | 5.0073 | 8.8506 | 9.9896    | 19.982  |
+| 2.1503        | 2.0   | 1002 | 1.9367          | 10.2207 | 5.631  | 8.9531 | 9.9404    | 20.0    |
+| 1.9303        | 3.0   | 1503 | 1.8703          | 10.4496 | 5.8424 | 9.1    | 10.1692   | 20.0    |
+| 1.8227        | 4.0   | 2004 | 1.8365          | 10.3195 | 5.6383 | 8.9427 | 10.0217   | 20.0    |
+| 1.7561        | 5.0   | 2505 | 1.8137          | 10.3644 | 5.7409 | 8.9742 | 10.0328   | 20.0    |
+| 1.6962        | 6.0   | 3006 | 1.7963          | 10.307  | 5.7619 | 8.9713 | 10.0001   | 20.0    |
+| 1.6573        | 7.0   | 3507 | 1.7906          | 10.2633 | 5.6772 | 8.9086 | 9.9373    | 20.0    |
+| 1.6357        | 8.0   | 4008 | 1.7808          | 10.3619 | 5.7546 | 9.0124 | 10.02     | 20.0    |
+| 1.6269        | 9.0   | 4509 | 1.7808          | 10.2688 | 5.6934 | 8.934  | 9.9284    | 20.0    |
+| 1.6031        | 10.0  | 5010 | 1.7802          | 10.2143 | 5.6684 | 8.8677 | 9.8692    | 20.0    |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.3
+- Transformers 4.30.2
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.13.3