Training complete

README.md

@@ -19,10 +19,10 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.7600
-- Rouge1: 0.1395
-- Rouge2: 0.1077
-- Rougel: 0.1317
-- Rougelsum: 0.1243
+- Rouge1: 0.1317
+- Rouge2: 0.1118
+- Rougel: 0.1232
+- Rougelsum: 0.1232
 
 ## Model description
 
@@ -54,8 +54,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
 | No log        | 1.0   | 250  | 1.8935          | 0.04   | 0.0359 | 0.0375 | 0.0375    |
-| 2.8412        | 2.0   | 500  | 1.7864          | 0.1089 | 0.0865 | 0.1039 | 0.1039    |
-| 2.8412        | 3.0   | 750  | 1.7600          | 0.1395 | 0.1077 | 0.1317 | 0.1243    |
+| 2.8412        | 2.0   | 500  | 1.7864          | 0.1089 | 0.0934 | 0.0954 | 0.0954    |
+| 2.8412        | 3.0   | 750  | 1.7600          | 0.1317 | 0.1118 | 0.1232 | 0.1232    |
 
 
 ### Framework versions

runs/Jul02_11-53-40_2580ca073f94/events.out.tfevents.1719921375.2580ca073f94.652.0

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+size 7781

runs/Jul02_11-53-40_2580ca073f94/events.out.tfevents.1719922262.2580ca073f94.652.1

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