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arabert_baseline_organization_task4_fold0

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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_organization_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_organization_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: 0.5660
-- Qwk: 0.0120
-- Mse: 0.6114
 ## 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    | 3.6631          | 0.0494  | 3.6515 |
-| No log        | 1.3333 | 4    | 1.3687          | -0.0302 | 1.4053 |
-| No log        | 2.0    | 6    | 1.0057          | -0.0097 | 1.0728 |
-| No log        | 2.6667 | 8    | 0.5822          | 0.0403  | 0.6339 |
-| No log        | 3.3333 | 10   | 0.6456          | 0.0120  | 0.7020 |
-| No log        | 4.0    | 12   | 0.7331          | 0.0     | 0.7912 |
-| No log        | 4.6667 | 14   | 0.7761          | 0.0     | 0.8325 |
-| No log        | 5.3333 | 16   | 0.6870          | 0.0     | 0.7416 |
-| No log        | 6.0    | 18   | 0.6157          | 0.0     | 0.6661 |
-| No log        | 6.6667 | 20   | 0.5690          | 0.0120  | 0.6176 |
-| No log        | 7.3333 | 22   | 0.5419          | 0.1646  | 0.5867 |
-| No log        | 8.0    | 24   | 0.5390          | 0.1646  | 0.5830 |
-| No log        | 8.6667 | 26   | 0.5477          | 0.0120  | 0.5917 |
-| No log        | 9.3333 | 28   | 0.5587          | 0.0120  | 0.6034 |
-| No log        | 10.0   | 30   | 0.5660          | 0.0120  | 0.6114 |
 ### Framework versions

 tags:
 - generated_from_trainer
 model-index:
+- name: arabert_baseline_organization_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_organization_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: 1.2734
+- Qwk: -0.1579
+- Mse: 1.2734
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Qwk     | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
+| No log        | 1.0   | 2    | 3.4925          | 0.0133  | 3.4925 |
+| No log        | 2.0   | 4    | 1.6289          | 0.0280  | 1.6289 |
+| No log        | 3.0   | 6    | 0.8865          | 0.0943  | 0.8865 |
+| No log        | 4.0   | 8    | 0.9705          | 0.2195  | 0.9705 |
+| No log        | 5.0   | 10   | 1.2103          | 0.1351  | 1.2103 |
+| No log        | 6.0   | 12   | 1.3455          | 0.1351  | 1.3455 |
+| No log        | 7.0   | 14   | 1.3806          | 0.1351  | 1.3806 |
+| No log        | 8.0   | 16   | 1.3165          | 0.1351  | 1.3165 |
+| No log        | 9.0   | 18   | 1.2837          | -0.1579 | 1.2837 |
+| No log        | 10.0  | 20   | 1.2734          | -0.1579 | 1.2734 |
 ### Framework versions