End of training

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5103
-- Rouge1: 47.1409
-- Rouge2: 24.7704
-- Rougel: 43.2012
-- Rougelsum: 43.2249
-- Gen Len: 13.4509
+- Loss: 1.5888
+- Rouge1: 49.9368
+- Rouge2: 27.2185
+- Rougel: 46.1729
+- Rougelsum: 46.1900
+- Gen Len: 13.7801
 
 ## Model description
 
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.9748        | 1.0   | 561  | 1.6071          | 45.4173 | 23.1498 | 41.2241 | 41.2184   | 14.0501 |
-| 1.7823        | 2.0   | 1122 | 1.5643          | 45.6835 | 23.6188 | 42.0517 | 42.0965   | 13.3988 |
-| 1.692         | 3.0   | 1683 | 1.5422          | 45.9189 | 23.4450 | 42.2140 | 42.2774   | 13.3287 |
-| 1.6226        | 4.0   | 2244 | 1.5243          | 46.7272 | 24.5003 | 43.0697 | 43.1200   | 13.1984 |
-| 1.5668        | 5.0   | 2805 | 1.5146          | 46.4580 | 24.0323 | 42.6975 | 42.7558   | 13.5050 |
-| 1.5281        | 6.0   | 3366 | 1.5083          | 46.7795 | 24.2760 | 43.1536 | 43.1569   | 13.5010 |
-| 1.5058        | 7.0   | 3927 | 1.5100          | 46.8698 | 24.6214 | 43.0844 | 43.0983   | 13.4509 |
-| 1.4834        | 8.0   | 4488 | 1.5103          | 47.1409 | 24.7704 | 43.2012 | 43.2249   | 13.4509 |
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 1.8453        | 1.0   | 10917 | 1.6093          | 47.9986 | 25.3028 | 44.3072 | 44.3345   | 13.6285 |
+| 1.6998        | 2.0   | 21834 | 1.5955          | 49.1185 | 26.2998 | 45.4201 | 45.4194   | 13.4627 |
+| 1.6257        | 3.0   | 32751 | 1.5933          | 49.4151 | 26.7655 | 45.6769 | 45.6809   | 13.7603 |
+| 1.5722        | 4.0   | 43668 | 1.5822          | 49.4727 | 26.8015 | 45.8010 | 45.8247   | 13.6301 |
+| 1.5337        | 5.0   | 54585 | 1.5881          | 49.5572 | 26.8461 | 45.8811 | 45.8919   | 13.7029 |
+| 1.5045        | 6.0   | 65502 | 1.5852          | 49.7863 | 27.0921 | 46.0625 | 46.0677   | 13.8099 |
+| 1.4822        | 7.0   | 76419 | 1.5867          | 49.7769 | 27.0550 | 46.0091 | 46.0228   | 13.8027 |
+| 1.4674        | 8.0   | 87336 | 1.5888          | 49.9368 | 27.2185 | 46.1729 | 46.1900   | 13.7801 |
 
 
 ### Framework versions