lengocquangLAB
/

T5-OM

text2text-generation

Generated from Trainer

text-generation-inference

Model card Files Files and versions

lengocquangLAB commited on Apr 1, 2025

Commit

3b004bb

·

verified ·

1 Parent(s): bba7f75

End of training

Files changed (1) hide show

README.md +12 -12

README.md CHANGED Viewed

@@ -16,8 +16,8 @@ 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: 9.2704
-- Quadruple Accuracy: 0.0
 ## Model description
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Quadruple Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------------------:|
-| 23.5558       | 1.0   | 7    | 25.1432         | 0.0                |
-| 18.8316       | 2.0   | 14   | 19.8938         | 0.0                |
-| 15.5077       | 3.0   | 21   | 16.8728         | 0.0                |
-| 13.4737       | 4.0   | 28   | 14.8887         | 0.0                |
-| 13.4785       | 5.0   | 35   | 13.2102         | 0.0                |
-| 10.8779       | 6.0   | 42   | 11.8501         | 0.0                |
-| 11.507        | 7.0   | 49   | 10.8115         | 0.0                |
-| 9.6485        | 8.0   | 56   | 10.0903         | 0.0                |
-| 9.729         | 9.0   | 63   | 9.5698          | 0.0                |
-| 10.347        | 10.0  | 70   | 9.2704          | 0.0                |
 ### Framework versions

 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: 0.0065
+- Quadruple Accuracy: 0.4274
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Quadruple Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:------------------:|
+| 0.0528        | 1.0   | 468  | 0.0192          | 0.0091             |
+| 0.0133        | 2.0   | 936  | 0.0091          | 0.3561             |
+| 0.0169        | 3.0   | 1404 | 0.0077          | 0.3854             |
+| 0.0115        | 4.0   | 1872 | 0.0072          | 0.3945             |
+| 0.0104        | 5.0   | 2340 | 0.0069          | 0.4067             |
+| 0.0078        | 6.0   | 2808 | 0.0067          | 0.4299             |
+| 0.0094        | 7.0   | 3276 | 0.0066          | 0.4299             |
+| 0.0072        | 8.0   | 3744 | 0.0065          | 0.4299             |
+| 0.0084        | 9.0   | 4212 | 0.0065          | 0.4348             |
+| 0.0064        | 10.0  | 4680 | 0.0065          | 0.4274             |
 ### Framework versions