End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 52.5296
+      value: 54.5327
 ---
 
 <!-- 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: 0.5467
-- Rouge1: 52.5296
-- Rouge2: 26.7605
-- Rougel: 42.7483
-- Rougelsum: 48.0545
-- Gen Len: 30.9487
+- Loss: 0.3072
+- Rouge1: 54.5327
+- Rouge2: 29.5878
+- Rougel: 44.5278
+- Rougelsum: 50.0315
+- 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 |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.0464        | 1.0   | 3683 | 0.5467          | 52.5296 | 26.7605 | 42.7483 | 48.0545   | 30.9487 |
+| 0.2898        | 1.0   | 3683 | 0.3072          | 54.5327 | 29.5878 | 44.5278 | 50.0315   | 30.1968 |
 
 
 ### Framework versions

pytorch_model.bin

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 size 1625537293

training_args.bin

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 size 4219