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 [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0685
-- Rouge1: 32.5473
-- Rouge2: 9.2754
-- Rougel: 23.52
-- Rougelsum: 23.5525
-- Gen Len: 74.0
+- Loss: 2.8045
+- Rouge1: 26.2472
+- Rouge2: 7.6455
+- Rougel: 21.4598
+- Rougelsum: 21.4417
+- Gen Len: 19.0
 
 ## Model description
 
@@ -40,28 +40,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-06
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 2.2767        | 1.0   | 1361  | 1.8699          | 31.5702 | 8.644  | 23.435  | 23.5065   | 54.0    |
-| 1.9325        | 2.0   | 2722  | 1.6511          | 29.4728 | 8.9646 | 21.6881 | 21.6896   | 87.0    |
-| 1.7731        | 3.0   | 4083  | 1.5085          | 29.7153 | 8.7535 | 21.8973 | 21.9541   | 85.0    |
-| 1.638         | 4.0   | 5444  | 1.4016          | 32.9074 | 7.9981 | 23.745  | 23.7152   | 59.0    |
-| 1.5524        | 5.0   | 6805  | 1.2975          | 32.8051 | 9.6371 | 23.658  | 23.6868   | 74.0    |
-| 1.4795        | 6.0   | 8166  | 1.2239          | 27.9746 | 7.7738 | 20.7341 | 20.6989   | 50.0    |
-| 1.4163        | 7.0   | 9527  | 1.1602          | 29.1471 | 7.3243 | 22.2569 | 22.253    | 57.0    |
-| 1.3457        | 8.0   | 10888 | 1.1083          | 33.2668 | 9.4555 | 23.5864 | 23.6329   | 78.0    |
-| 1.3106        | 9.0   | 12249 | 1.0809          | 32.5473 | 9.2754 | 23.52   | 23.5525   | 74.0    |
-| 1.2819        | 10.0  | 13610 | 1.0685          | 32.5473 | 9.2754 | 23.52   | 23.5525   | 74.0    |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 3.3004        | 1.0   | 1361 | 3.0038          | 18.3993 | 2.3008 | 17.3929 | 17.4118   | 99.0    |
+| 3.0128        | 2.0   | 2722 | 2.8460          | 26.8658 | 7.5641 | 21.9666 | 21.9968   | 20.48   |
+| 2.9507        | 3.0   | 4083 | 2.8045          | 26.2472 | 7.6455 | 21.4598 | 21.4417   | 19.0    |
 
 
 ### Framework versions