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: 0.5080
-- Rouge1: 6.8809
-- Rouge2: 4.1822
-- Rougel: 6.5856
-- Rougelsum: 6.6317
-- Gen Len: 19.0
+- Loss: 0.4375
+- Rouge1: 55.6701
+- Rouge2: 45.6817
+- Rougel: 52.259
+- Rougelsum: 52.2632
+- Gen Len: 494.295
 
 ## Model description
 
@@ -51,13 +51,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 100  | 0.6844          | 7.3626 | 4.67   | 7.1942 | 7.194     | 19.0    |
-| No log        | 2.0   | 200  | 0.5658          | 6.7434 | 3.9578 | 6.4129 | 6.4381    | 19.0    |
-| No log        | 3.0   | 300  | 0.5290          | 6.8062 | 4.081  | 6.5137 | 6.5406    | 19.0    |
-| No log        | 4.0   | 400  | 0.5126          | 6.8813 | 4.164  | 6.5904 | 6.6226    | 19.0    |
-| 0.7919        | 5.0   | 500  | 0.5080          | 6.8809 | 4.1822 | 6.5856 | 6.6317    | 19.0    |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 100  | 0.4736          | 47.5356 | 37.7662 | 43.8872 | 43.933    | 493.725 |
+| No log        | 2.0   | 200  | 0.4582          | 51.7559 | 41.8487 | 48.1235 | 48.1762   | 494.835 |
+| No log        | 3.0   | 300  | 0.4469          | 52.8576 | 43.1039 | 49.3153 | 49.36     | 493.225 |
+| No log        | 4.0   | 400  | 0.4395          | 55.4214 | 45.3968 | 51.8613 | 51.8725   | 492.5   |
+| 0.5066        | 5.0   | 500  | 0.4375          | 55.6701 | 45.6817 | 52.259  | 52.2632   | 494.295 |
 
 
 ### Framework versions

logs/events.out.tfevents.1706260136.69294ec738d4.14371.1

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