End of training

README.md

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.4801
-- Rouge1: 43.5728
-- Rouge2: 29.7242
-- Rougel: 43.4217
-- Rougelsum: 43.5037
+- Rouge1: 43.5664
+- Rouge2: 29.643
+- Rougel: 43.4587
+- Rougelsum: 43.393
 - Gen Len: 6.0567
 
 ## Model description
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| 1.1732        | 1.0   | 6086  | 1.4855          | 44.3939 | 30.5367 | 44.3029 | 44.2892   | 6.4530  |
-| 1.0189        | 2.0   | 12172 | 1.4801          | 43.5728 | 29.7242 | 43.4217 | 43.5037   | 6.0567  |
-| 0.9379        | 3.0   | 18258 | 1.5378          | 43.8028 | 30.5358 | 43.6786 | 43.7252   | 6.9653  |
-| 0.8248        | 4.0   | 24344 | 1.5389          | 43.8363 | 29.5076 | 43.6659 | 43.7408   | 6.5986  |
-| 0.832         | 5.0   | 30430 | 1.5519          | 44.9435 | 30.0837 | 44.7905 | 44.8729   | 6.5894  |
-| 0.732         | 6.0   | 36516 | 1.5944          | 42.8507 | 28.9669 | 42.7438 | 42.7529   | 6.4045  |
-| 0.778         | 7.0   | 42602 | 1.5845          | 44.1834 | 29.2917 | 44.0298 | 44.0912   | 6.4285  |
-| 0.702         | 8.0   | 48688 | 1.6057          | 44.2474 | 29.458  | 44.0837 | 44.1208   | 6.6088  |
+| 1.1732        | 1.0   | 6086  | 1.4855          | 44.3428 | 30.4888 | 44.2809 | 44.238    | 6.4530  |
+| 1.0189        | 2.0   | 12172 | 1.4801          | 43.5664 | 29.643  | 43.4587 | 43.393    | 6.0567  |
+| 0.9379        | 3.0   | 18258 | 1.5378          | 43.8433 | 30.4692 | 43.6996 | 43.6864   | 6.9653  |
+| 0.8248        | 4.0   | 24344 | 1.5389          | 43.8048 | 29.4327 | 43.7467 | 43.6956   | 6.5986  |
+| 0.832         | 5.0   | 30430 | 1.5519          | 44.9305 | 30.0435 | 44.8287 | 44.7814   | 6.5894  |
+| 0.732         | 6.0   | 36516 | 1.5944          | 42.8063 | 28.8826 | 42.7294 | 42.6553   | 6.4045  |
+| 0.778         | 7.0   | 42602 | 1.5845          | 44.1877 | 29.1966 | 44.0738 | 44.0379   | 6.4285  |
+| 0.702         | 8.0   | 48688 | 1.6057          | 44.2274 | 29.3567 | 44.1037 | 44.0794   | 6.6088  |
 
 
 ### Framework versions

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