End of training

README.md

@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0940
-- Rouge1: 0.3556
-- Rouge2: 0.2132
-- Rougel: 0.3535
-- Rougelsum: 0.3547
-- Bleu: 0.1685
+- Loss: 1.4646
+- Rouge1: 0.4057
+- Rouge2: 0.2091
+- Rougel: 0.3995
+- Rougelsum: 0.3994
+- Bleu: 0.1497
 
 ## Model description
 
@@ -55,7 +55,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
-| 1.6101        | 1.0   | 1141 | 1.0940          | 0.3556 | 0.2132 | 0.3535 | 0.3547    | 0.1685 |
+| 3.3776        | 1.0   | 571  | 1.4646          | 0.4057 | 0.2091 | 0.3995 | 0.3994    | 0.1497 |
 
 
 ### Framework versions

runs/Dec05_07-45-04_halimwildan-pod/events.out.tfevents.1733384721.halimwildan-pod.3954.0

@@ -1,3 +1,3 @@
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-size 5586
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+size 6462