End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 54.5379
+      value: 54.4662
 ---
 
 <!-- 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: 0.3305
-- Rouge1: 54.5379
-- Rouge2: 29.2726
-- Rougel: 44.518
-- Rougelsum: 49.8992
-- Gen Len: 29.9658
+- Loss: 0.3003
+- Rouge1: 54.4662
+- Rouge2: 29.9033
+- Rougel: 44.7615
+- Rougelsum: 50.1037
+- Gen Len: 29.4487
 
 ## 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
-| 0.1677        | 1.0   | 3683 | 0.3305          | 54.5379 | 29.2726 | 44.518 | 49.8992   | 29.9658 |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.2898        | 1.0   | 3683 | 0.3003          | 54.4662 | 29.9033 | 44.7615 | 50.1037   | 29.4487 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:57f222cd8a9a6eb5e81a5b362f175fc0594e8c879b4aa67c4ea3db841cc20802
+oid sha256:d8c7dfb24a15b9afd28422f980bf64233e80443818c6d4841a0dbab569af8696
 size 1625537293