End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 54.2763
+      value: 54.246
 ---
 
 <!-- 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: 0.3231
-- Rouge1: 54.2763
-- Rouge2: 29.5431
-- Rougel: 44.7884
-- Rougelsum: 49.9967
-- Gen Len: 29.8912
+- Loss: 0.3379
+- Rouge1: 54.246
+- Rouge2: 28.9744
+- Rougel: 44.3308
+- Rougelsum: 49.7771
+- Gen Len: 30.0746
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.2026        | 1.0   | 3683 | 0.3231          | 54.2763 | 29.5431 | 44.7884 | 49.9967   | 29.8912 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|:-------:|
+| 0.1656        | 1.0   | 3683 | 0.3379          | 54.246 | 28.9744 | 44.3308 | 49.7771   | 30.0746 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 1625537293