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arabert_baseline_style_task4_fold0

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bert

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salbatarni commited on Aug 29, 2024

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@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
 tags:
 - generated_from_trainer
 model-index:
-- name: arabert_baseline_style_task3_fold1
   results: []
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
-# arabert_baseline_style_task3_fold1
 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0331
-- Qwk: 0.0
-- Mse: 0.0316
 ## Model description
@@ -45,23 +45,18 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch  | Step | Validation Loss | Qwk | Mse    |
-|:-------------:|:------:|:----:|:---------------:|:---:|:------:|
-| No log        | 0.6667 | 2    | 3.4993          | 0.0 | 3.4859 |
-| No log        | 1.3333 | 4    | 1.1380          | 0.0 | 1.1373 |
-| No log        | 2.0    | 6    | 0.1780          | 0.0 | 0.1784 |
-| No log        | 2.6667 | 8    | 0.0394          | 0.0 | 0.0397 |
-| No log        | 3.3333 | 10   | 0.0329          | 0.0 | 0.0323 |
-| No log        | 4.0    | 12   | 0.0230          | 0.0 | 0.0227 |
-| No log        | 4.6667 | 14   | 0.0116          | 0.0 | 0.0115 |
-| No log        | 5.3333 | 16   | 0.0132          | 0.0 | 0.0129 |
-| No log        | 6.0    | 18   | 0.0222          | 0.0 | 0.0217 |
-| No log        | 6.6667 | 20   | 0.0153          | 0.0 | 0.0148 |
-| No log        | 7.3333 | 22   | 0.0179          | 0.0 | 0.0172 |
-| No log        | 8.0    | 24   | 0.0268          | 0.0 | 0.0258 |
-| No log        | 8.6667 | 26   | 0.0322          | 0.0 | 0.0308 |
-| No log        | 9.3333 | 28   | 0.0335          | 0.0 | 0.0320 |
-| No log        | 10.0   | 30   | 0.0331          | 0.0 | 0.0316 |
 ### Framework versions

 tags:
 - generated_from_trainer
 model-index:
+- name: arabert_baseline_style_task4_fold0
   results: []
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
+# arabert_baseline_style_task4_fold0
 This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6503
+- Qwk: 0.7
+- Mse: 0.6503
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| No log        | 1.0   | 2    | 3.1919          | 0.0704 | 3.1919 |
+| No log        | 2.0   | 4    | 1.3173          | 0.0303 | 1.3173 |
+| No log        | 3.0   | 6    | 0.6709          | 0.1111 | 0.6709 |
+| No log        | 4.0   | 8    | 0.7125          | 0.4839 | 0.7125 |
+| No log        | 5.0   | 10   | 0.8225          | 0.1724 | 0.8225 |
+| No log        | 6.0   | 12   | 0.7902          | 0.1724 | 0.7902 |
+| No log        | 7.0   | 14   | 0.6931          | 0.6    | 0.6931 |
+| No log        | 8.0   | 16   | 0.6270          | 0.5238 | 0.6270 |
+| No log        | 9.0   | 18   | 0.6337          | 0.6098 | 0.6337 |
+| No log        | 10.0  | 20   | 0.6503          | 0.7    | 0.6503 |
 ### Framework versions