End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 37.1938
+      value: 37.2224
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [sshleifer/distilbart-cnn-6-6](https://huggingface.co/sshleifer/distilbart-cnn-6-6) on the wcep-10 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.9981
-- Rouge1: 37.1938
-- Rouge2: 16.5385
-- Rougel: 26.7997
-- Rougelsum: 30.3278
+- Rouge1: 37.2224
+- Rouge2: 16.5575
+- Rougel: 26.7904
+- Rougelsum: 30.3497
 - Gen Len: 67.5627
 
 ## Model description
@@ -69,9 +69,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 2.0801        | 1.0   | 510  | 2.0119          | 36.476  | 16.0059 | 26.3489 | 29.7099   | 67.9882 |
-| 1.7597        | 2.0   | 1020 | 1.9868          | 36.9333 | 16.3738 | 26.5067 | 30.1156   | 68.3961 |
-| 1.5997        | 3.0   | 1530 | 1.9981          | 37.1938 | 16.5385 | 26.7997 | 30.3278   | 67.5627 |
+| 2.0801        | 1.0   | 510  | 2.0119          | 36.4915 | 16.0165 | 26.3565 | 29.7397   | 67.9882 |
+| 1.7597        | 2.0   | 1020 | 1.9868          | 36.9513 | 16.3776 | 26.4974 | 30.1234   | 68.3961 |
+| 1.5997        | 3.0   | 1530 | 1.9981          | 37.2224 | 16.5575 | 26.7904 | 30.3497   | 67.5627 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c9c69eab10bc0d1349e6760f1df6a50fc43e1e04262cceb13e74f2ff791cdac
+oid sha256:291432ddfdc04c0c1e15c102aece6573bebd0c02144fbb50f7e66c8b14a26711
 size 919963552