Alfahluzi/bert2bert-dropout-0.3-lr-5e-05-ds-canonical add 3 more epoch (total 6)

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the id_liputan6 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.3368
-- Rouge2 Precision: 0.1701
-- Rouge2 Recall: 0.181
-- Rouge2 Fmeasure: 0.1731
+- Loss: 2.2037
+- Rouge2 Precision: 0.1783
+- Rouge2 Recall: 0.1901
+- Rouge2 Fmeasure: 0.1818
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
 |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
-| 2.8387        | 1.0   | 4040  | 2.6668          | 0.1434           | 0.1495        | 0.1445          |
-| 2.0882        | 2.0   | 8080  | 2.3950          | 0.174            | 0.1756        | 0.1725          |
-| 1.8985        | 3.0   | 12120 | 2.3368          | 0.1701           | 0.181         | 0.1731          |
+| 1.7398        | 1.0   | 4040  | 2.2892          | 0.1789           | 0.1933        | 0.1835          |
+| 1.5953        | 2.0   | 8080  | 2.2380          | 0.1789           | 0.1917        | 0.1829          |
+| 1.5771        | 3.0   | 12120 | 2.2037          | 0.1783           | 0.1901        | 0.1818          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bf83dffd727c1d3c00cfd9598208ef04e4e2489dd7daac52aac8a9d5ed309a62
+oid sha256:a29d84e342b9a12d6c01ab26cff20cac63dcfb57d6124ca11129b495425d6845
 size 998132132