LETHE1
/

t5_recommendation_sports_equipment_english

@@ -16,12 +16,12 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4554
-- Rouge1: 55.5556
-- Rouge2: 47.6190
-- Rougel: 55.5556
-- Rougelsum: 55.5556
-- Gen Len: 3.9048
 ## Model description
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 0.96  | 6    | 6.7375          | 8.6691  | 0.9524  | 8.7302  | 8.6691    | 19.0    |
-| No log        | 1.96  | 12   | 2.8089          | 22.8571 | 9.5238  | 23.3333 | 22.8571   | 3.1429  |
-| No log        | 2.96  | 18   | 0.9394          | 9.5238  | 4.7619  | 9.5238  | 9.5238    | 3.1905  |
-| No log        | 3.96  | 24   | 0.6679          | 32.0635 | 14.2857 | 32.8571 | 32.3810   | 3.5714  |
-| No log        | 4.96  | 30   | 0.6736          | 24.7619 | 9.5238  | 25.3968 | 24.7619   | 4.2381  |
-| No log        | 5.96  | 36   | 0.6658          | 37.6190 | 23.8095 | 38.4127 | 37.2222   | 4.0476  |
-| No log        | 6.96  | 42   | 0.6460          | 45.5556 | 33.3333 | 45.5556 | 45.2381   | 3.8571  |
-| No log        | 7.96  | 48   | 0.5596          | 50.7937 | 42.8571 | 50.7937 | 50.7937   | 4.0     |
-| No log        | 8.96  | 54   | 0.5082          | 55.5556 | 47.6190 | 55.5556 | 55.5556   | 3.9524  |
-| No log        | 9.96  | 60   | 0.4554          | 55.5556 | 47.6190 | 55.5556 | 55.5556   | 3.9048  |
 ### Framework versions

 This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.4022
+- Rouge1: 67.4603
+- Rouge2: 61.9048
+- Rougel: 68.2540
+- Rougelsum: 67.4603
+- Gen Len: 4.1429
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 0.96  | 6    | 7.1105          | 12.1853 | 0.7937  | 12.1989 | 12.4003   | 18.2381 |
+| No log        | 1.96  | 12   | 2.5797          | 20.7672 | 1.3605  | 20.8995 | 21.1640   | 2.9524  |
+| No log        | 2.96  | 18   | 0.7276          | 14.2857 | 4.7619  | 14.2857 | 14.2857   | 4.0952  |
+| No log        | 3.96  | 24   | 0.6402          | 37.1429 | 22.2222 | 37.9365 | 37.2222   | 3.6190  |
+| No log        | 4.96  | 30   | 0.6413          | 43.6508 | 36.5079 | 45.7143 | 44.2857   | 4.0476  |
+| No log        | 5.96  | 36   | 0.5175          | 50.7937 | 42.8571 | 50.7937 | 50.3968   | 3.7143  |
+| No log        | 6.96  | 42   | 0.4838          | 55.5556 | 47.6190 | 55.5556 | 54.7619   | 4.0     |
+| No log        | 7.96  | 48   | 0.4596          | 60.3175 | 52.3810 | 60.3175 | 59.9206   | 4.1905  |
+| No log        | 8.96  | 54   | 0.4255          | 65.0794 | 57.1429 | 65.8730 | 65.0794   | 4.2381  |
+| No log        | 9.96  | 60   | 0.4022          | 67.4603 | 61.9048 | 68.2540 | 67.4603   | 4.1429  |
 ### Framework versions