End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 54.5327
+      value: 54.1758
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,12 +32,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3072
-- Rouge1: 54.5327
-- Rouge2: 29.5878
-- Rougel: 44.5278
-- Rougelsum: 50.0315
-- Gen Len: 30.1968
+- Loss: 0.3078
+- Rouge1: 54.1758
+- Rouge2: 29.4493
+- Rougel: 44.06
+- Rougelsum: 49.681
+- Gen Len: 30.1443
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.2898        | 1.0   | 3683 | 0.3072          | 54.5327 | 29.5878 | 44.5278 | 50.0315   | 30.1968 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
+| 0.2428        | 1.0   | 3683 | 0.3078          | 54.1758 | 29.4493 | 44.06  | 49.681    | 30.1443 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:068a6c57518b0d47d4f7216221cc4f68a26acc8078bd4410a8ce4cefa789bcc6
 size 1625537293