End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 53.3309
+      value: 54.5406
 ---
 
 <!-- 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: 0.3702
-- Rouge1: 53.3309
-- Rouge2: 28.2765
-- Rougel: 43.6444
-- Rougelsum: 49.0437
-- Gen Len: 30.8631
+- Loss: 0.3072
+- Rouge1: 54.5406
+- Rouge2: 29.6296
+- Rougel: 44.4984
+- Rougelsum: 49.9661
+- Gen Len: 30.1968
 
 ## Model description
 
@@ -70,7 +70,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.1387        | 1.0   | 3683 | 0.3702          | 53.3309 | 28.2765 | 43.6444 | 49.0437   | 30.8631 |
+| 0.2898        | 1.0   | 3683 | 0.3072          | 54.5406 | 29.6296 | 44.4984 | 49.9661   | 30.1968 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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