End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 54.3637
+      value: 54.5379
 ---
 
 <!-- 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: 0.3169
-- Rouge1: 54.3637
-- Rouge2: 29.3714
-- Rougel: 44.8423
-- Rougelsum: 49.7821
-- Gen Len: 29.5269
+- Loss: 0.3305
+- Rouge1: 54.5379
+- Rouge2: 29.2726
+- Rougel: 44.518
+- Rougelsum: 49.8992
+- Gen Len: 29.9658
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.2022        | 1.0   | 3683 | 0.3169          | 54.3637 | 29.3714 | 44.8423 | 49.7821   | 29.5269 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
+| 0.1677        | 1.0   | 3683 | 0.3305          | 54.5379 | 29.2726 | 44.518 | 49.8992   | 29.9658 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:2cc97d6e862910cd5242df34aafab8d39c0bb93afb2acf84f8331e29a38f0a78
 size 1625537293