End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 54.5208
+      value: 54.1736
 ---
 
 <!-- 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: 54.5208
-- Rouge2: 29.613
-- Rougel: 44.529
-- Rougelsum: 49.9578
-- Gen Len: 30.1968
+- Loss: 0.3078
+- Rouge1: 54.1736
+- Rouge2: 29.3773
+- Rougel: 44.1092
+- Rougelsum: 49.6189
+- 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          | 54.5208 | 29.613 | 44.529 | 49.9578   | 30.1968 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.2428        | 1.0   | 3683 | 0.3078          | 54.1736 | 29.3773 | 44.1092 | 49.6189   | 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