update model card README.md

README.md

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ainize/bart-base-cnn](https://huggingface.co/ainize/bart-base-cnn) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0135
-- Rouge1: 81.7278
-- Rouge2: 80.2103
-- Rougel: 81.7237
-- Rougelsum: 81.7112
-- Gen Len: 19.434
+- Loss: 0.0025
+- Rouge1: 81.4214
+- Rouge2: 80.2027
+- Rougel: 81.4202
+- Rougelsum: 81.4241
+- Gen Len: 19.3962
 
 ## Model description
 
@@ -41,24 +41,27 @@ 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: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.0121        | 1.0   | 500  | 0.0135          | 81.7278 | 80.2103 | 81.7237 | 81.7112   | 19.434  |
+| 0.0071        | 1.0   | 2365 | 0.0039          | 81.3664 | 80.0861 | 81.3601 | 81.3667   | 19.3967 |
+| 0.0033        | 2.0   | 4730 | 0.0029          | 81.3937 | 80.1548 | 81.3902 | 81.3974   | 19.3961 |
+| 0.0018        | 3.0   | 7095 | 0.0029          | 81.3838 | 80.1404 | 81.385  | 81.3878   | 19.3965 |
+| 0.001         | 4.0   | 9460 | 0.0025          | 81.4214 | 80.2027 | 81.4202 | 81.4241   | 19.3962 |
 
 
 ### Framework versions
 
 - Transformers 4.21.1
-- Pytorch 1.12.0+cu113
+- Pytorch 1.12.1+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1