End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 53.3369
+      value: 53.2205
 ---
 
 <!-- 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: 0.3702
-- Rouge1: 53.3369
-- Rouge2: 28.2349
-- Rougel: 43.6266
-- Rougelsum: 48.9945
-- Gen Len: 30.8631
+- Loss: 0.4062
+- Rouge1: 53.2205
+- Rouge2: 27.7758
+- Rougel: 43.2683
+- Rougelsum: 48.6033
+- Gen Len: 30.7017
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 0.1387        | 1.0   | 3683 | 0.3702          | 53.3369 | 28.2349 | 43.6266 | 48.9945   | 30.8631 |
+| 0.1065        | 1.0   | 3683 | 0.4062          | 53.2205 | 27.7758 | 43.2683 | 48.6033   | 30.7017 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:f3656703114c6f649d8b10ac0a4c6e472b9d83bfc0b411a0fa0b08ef6bd79353
 size 1625537293