End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 52.5936
+      value: 52.5102
 ---
 
 <!-- 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: 0.5174
-- Rouge1: 52.5936
-- Rouge2: 26.9042
-- Rougel: 42.5782
-- Rougelsum: 47.9894
-- Gen Len: 31.1259
+- Loss: 0.5467
+- Rouge1: 52.5102
+- Rouge2: 26.7766
+- Rougel: 42.7536
+- Rougelsum: 48.004
+- Gen Len: 30.9487
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.0551        | 1.0   | 3683 | 0.5174          | 52.5936 | 26.9042 | 42.5782 | 47.9894   | 31.1259 |
+| 0.0464        | 1.0   | 3683 | 0.5467          | 52.5102 | 26.7766 | 42.7536 | 48.004    | 30.9487 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7a5075e3223fdd3213a0675cf02d8e39bc0a288969acc091a1ba5508c4ad8f3a
+oid sha256:d02b1dc6abb21ab93889f0086fc627194c9e385c6d24d7dc9cca9c7e534c11c9
 size 1625537293