End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 53.4233
+      value: 52.877
 ---
 
 <!-- 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: 0.4394
-- Rouge1: 53.4233
-- Rouge2: 27.9909
-- Rougel: 43.7088
-- Rougelsum: 49.1099
-- Gen Len: 30.9511
+- Loss: 0.4766
+- Rouge1: 52.877
+- Rouge2: 27.5173
+- Rougel: 43.0541
+- Rougelsum: 48.2504
+- Gen Len: 31.2787
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.0876        | 1.0   | 3683 | 0.4394          | 53.4233 | 27.9909 | 43.7088 | 49.1099   | 30.9511 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|:-------:|
+| 0.0706        | 1.0   | 3683 | 0.4766          | 52.877 | 27.5173 | 43.0541 | 48.2504   | 31.2787 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:93a559477f5d7dc60684bd15556b06f72a582a85bdf9f7d2651679a86c9350c5
 size 1625537293