End of training

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9344
-- Rouge1: 8.8258
-- Rouge2: 6.8021
-- Rougel: 8.5566
-- Rougelsum: 8.7828
+- Loss: 0.9312
+- Rouge1: 9.0841
+- Rouge2: 7.1682
+- Rougel: 8.9904
+- Rougelsum: 8.8694
 - Gen Len: 19.0
 
 ## Model description
@@ -53,16 +53,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 1.6073        | 1.0   | 172  | 1.2435          | 8.9196 | 6.9144 | 8.8527 | 8.7692    | 19.0    |
-| 1.3038        | 2.0   | 344  | 1.0558          | 8.9196 | 6.9144 | 8.8527 | 8.7692    | 19.0    |
-| 1.14          | 3.0   | 516  | 0.9817          | 8.7663 | 6.5345 | 8.4648 | 8.731     | 19.0    |
-| 1.1009        | 4.0   | 688  | 0.9463          | 8.6299 | 6.3863 | 8.2671 | 8.6138    | 19.0    |
-| 1.0771        | 5.0   | 860  | 0.9344          | 8.8258 | 6.8021 | 8.5566 | 8.7828    | 19.0    |
+| 1.6115        | 1.0   | 172  | 1.2331          | 8.5644 | 5.4426 | 8.0109 | 7.8524    | 19.0    |
+| 1.3117        | 2.0   | 344  | 1.0502          | 8.9253 | 6.9288 | 8.8368 | 8.712     | 19.0    |
+| 1.1739        | 3.0   | 516  | 0.9782          | 8.9253 | 6.9288 | 8.8368 | 8.712     | 19.0    |
+| 1.1187        | 4.0   | 688  | 0.9432          | 8.5866 | 6.1482 | 8.3238 | 8.4361    | 19.0    |
+| 1.059         | 5.0   | 860  | 0.9312          | 9.0841 | 7.1682 | 8.9904 | 8.8694    | 19.0    |
 
 
 ### Framework versions
 
 - Transformers 4.36.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

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