datleviet
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ComOM-VIDeBERTa-1

Text Classification

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datleviet commited on Dec 5, 2023

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1 Parent(s): ac1bfec

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [Fsoft-AIC/videberta-base](https://huggingface.co/Fsoft-AIC/videberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4882
-- Accuracy: 0.7737
 ## Model description
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 156  | 0.5779          | 0.6790   |
-| No log        | 2.0   | 312  | 0.5388          | 0.6934   |
-| No log        | 3.0   | 468  | 0.4926          | 0.7576   |
-| 0.5564        | 4.0   | 624  | 0.5177          | 0.7705   |
-| 0.5564        | 5.0   | 780  | 0.4882          | 0.7737   |
 ### Framework versions

 This model is a fine-tuned version of [Fsoft-AIC/videberta-base](https://huggingface.co/Fsoft-AIC/videberta-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3821
+- Accuracy: 0.8270
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 126  | 0.5622          | 0.6899   |
+| No log        | 2.0   | 252  | 0.4775          | 0.7972   |
+| No log        | 3.0   | 378  | 0.4007          | 0.8131   |
+| 0.512         | 4.0   | 504  | 0.3964          | 0.8171   |
+| 0.512         | 5.0   | 630  | 0.3821          | 0.8270   |
 ### Framework versions