End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 41.0877
+      value: 41.0557
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [sshleifer/distilbart-cnn-12-6](https://huggingface.co/sshleifer/distilbart-cnn-12-6) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5352
-- Rouge1: 41.0877
-- Rouge2: 21.1031
-- Rougel: 31.6773
-- Rougelsum: 38.2167
+- Loss: 0.5040
+- Rouge1: 41.0557
+- Rouge2: 20.8627
+- Rougel: 31.6375
+- Rougelsum: 38.3023
 
 ## Model description
 
@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 0.3755        | 1.0   | 921  | 0.5071          | 40.4969 | 21.1036 | 31.4303 | 37.8602   |
-| 0.3724        | 2.0   | 1842 | 0.5211          | 40.6622 | 20.7737 | 31.3884 | 37.7896   |
-| 0.3157        | 3.0   | 2763 | 0.5352          | 41.0877 | 21.1031 | 31.6773 | 38.2167   |
+| 0.5843        | 1.0   | 921  | 0.5095          | 40.4545 | 21.2232 | 31.2992 | 37.9698   |
+| 0.4562        | 2.0   | 1842 | 0.5010          | 40.9057 | 21.0576 | 31.4701 | 38.2105   |
+| 0.3938        | 3.0   | 2763 | 0.5040          | 41.0557 | 20.8627 | 31.6375 | 38.3023   |
 
 
 ### Framework versions

runs/Oct22_00-41-01_d264168209a2/events.out.tfevents.1729557687.d264168209a2.1146.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 8339
+oid sha256:3a84382783fecfd9be435db6d8f52918418547736e9462f23aee402ad74dcf47
+size 9167