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arabert_baseline_relevance_task4_fold0

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salbatarni commited on Aug 27, 2024

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@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
 tags:
 - generated_from_trainer
 model-index:
-- name: arabert_baseline_relevance_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_relevance_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: 0.4533
 - Qwk: 0.0
-- Mse: 0.4662
 ## 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    | 0.5670          | 0.0237 | 0.5557 |
-| No log        | 1.3333 | 4    | 0.2239          | 0.0    | 0.2180 |
-| No log        | 2.0    | 6    | 0.2912          | 0.0    | 0.2878 |
-| No log        | 2.6667 | 8    | 0.3225          | 0.0    | 0.3205 |
-| No log        | 3.3333 | 10   | 0.3274          | 0.0    | 0.3276 |
-| No log        | 4.0    | 12   | 0.3260          | 0.0    | 0.3295 |
-| No log        | 4.6667 | 14   | 0.3269          | 0.0    | 0.3323 |
-| No log        | 5.3333 | 16   | 0.3627          | 0.0    | 0.3697 |
-| No log        | 6.0    | 18   | 0.3851          | 0.0    | 0.3932 |
-| No log        | 6.6667 | 20   | 0.3452          | 0.0    | 0.3543 |
-| No log        | 7.3333 | 22   | 0.3589          | 0.0    | 0.3692 |
-| No log        | 8.0    | 24   | 0.3714          | 0.0    | 0.3825 |
-| No log        | 8.6667 | 26   | 0.4113          | 0.0    | 0.4233 |
-| No log        | 9.3333 | 28   | 0.4400          | 0.0    | 0.4526 |
-| No log        | 10.0   | 30   | 0.4533          | 0.0    | 0.4662 |
 ### Framework versions

 tags:
 - generated_from_trainer
 model-index:
+- name: arabert_baseline_relevance_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_relevance_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: 0.2447
 - Qwk: 0.0
+- Mse: 0.2447
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| No log        | 1.0   | 2    | 0.5832          | 0.0526 | 0.5832 |
+| No log        | 2.0   | 4    | 0.2143          | 0.0    | 0.2143 |
+| No log        | 3.0   | 6    | 0.2591          | 0.0    | 0.2591 |
+| No log        | 4.0   | 8    | 0.3066          | 0.0    | 0.3066 |
+| No log        | 5.0   | 10   | 0.3845          | 0.0    | 0.3845 |
+| No log        | 6.0   | 12   | 0.3456          | 0.0    | 0.3456 |
+| No log        | 7.0   | 14   | 0.2856          | 0.0    | 0.2856 |
+| No log        | 8.0   | 16   | 0.2525          | 0.0    | 0.2525 |
+| No log        | 9.0   | 18   | 0.2452          | 0.0    | 0.2452 |
+| No log        | 10.0  | 20   | 0.2447          | 0.0    | 0.2447 |
 ### Framework versions