End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 52.877
+      value: 52.5903
 ---
 
 <!-- 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: 0.4766
-- Rouge1: 52.877
-- Rouge2: 27.5173
-- Rougel: 43.0541
-- Rougelsum: 48.2504
-- Gen Len: 31.2787
+- Loss: 0.5174
+- Rouge1: 52.5903
+- Rouge2: 26.9245
+- Rougel: 42.575
+- Rougelsum: 48.0493
+- Gen Len: 31.1259
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-------:|:---------:|:-------:|
-| 0.0706        | 1.0   | 3683 | 0.4766          | 52.877 | 27.5173 | 43.0541 | 48.2504   | 31.2787 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
+| 0.0551        | 1.0   | 3683 | 0.5174          | 52.5903 | 26.9245 | 42.575 | 48.0493   | 31.1259 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:7a5075e3223fdd3213a0675cf02d8e39bc0a288969acc091a1ba5508c4ad8f3a
 size 1625537293