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arabert_baseline_vocabulary_task4_fold0

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salbatarni commited on Aug 27

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@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
 tags:
 - generated_from_trainer
 model-index:
-- name: arabert_baseline_vocabulary_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_vocabulary_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: 0.2325
-- Qwk: 0.2857
-- Mse: 0.2437
 ## 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    | 3.6484          | 0.0328 | 3.6411 |
-| No log        | 1.3333 | 4    | 1.3150          | 0.0541 | 1.3226 |
-| No log        | 2.0    | 6    | 0.2810          | 0.0    | 0.2941 |
-| No log        | 2.6667 | 8    | 0.2059          | 0.0    | 0.2199 |
-| No log        | 3.3333 | 10   | 0.2435          | 0.0    | 0.2582 |
-| No log        | 4.0    | 12   | 0.2557          | 0.0    | 0.2715 |
-| No log        | 4.6667 | 14   | 0.2138          | 0.0    | 0.2290 |
-| No log        | 5.3333 | 16   | 0.2031          | 0.0    | 0.2168 |
-| No log        | 6.0    | 18   | 0.2284          | 0.0    | 0.2412 |
-| No log        | 6.6667 | 20   | 0.2060          | 0.2857 | 0.2178 |
-| No log        | 7.3333 | 22   | 0.2168          | 0.2857 | 0.2280 |
-| No log        | 8.0    | 24   | 0.2244          | 0.2857 | 0.2354 |
-| No log        | 8.6667 | 26   | 0.2313          | 0.2857 | 0.2422 |
-| No log        | 9.3333 | 28   | 0.2311          | 0.2857 | 0.2422 |
-| No log        | 10.0   | 30   | 0.2325          | 0.2857 | 0.2437 |
 ### Framework versions

 tags:
 - generated_from_trainer
 model-index:
+- name: arabert_baseline_vocabulary_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_vocabulary_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: 1.1529
+- Qwk: 0.1724
+- Mse: 1.1529
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| No log        | 1.0   | 2    | 3.1705          | 0.0704 | 3.1705 |
+| No log        | 2.0   | 4    | 1.2678          | 0.0123 | 1.2678 |
+| No log        | 3.0   | 6    | 0.6681          | 0.1111 | 0.6681 |
+| No log        | 4.0   | 8    | 0.7489          | 0.4839 | 0.7489 |
+| No log        | 5.0   | 10   | 0.9971          | 0.1724 | 0.9971 |
+| No log        | 6.0   | 12   | 1.2195          | 0.1724 | 1.2195 |
+| No log        | 7.0   | 14   | 1.2558          | 0.1724 | 1.2558 |
+| No log        | 8.0   | 16   | 1.1787          | 0.1724 | 1.1787 |
+| No log        | 9.0   | 18   | 1.1576          | 0.1724 | 1.1576 |
+| No log        | 10.0  | 20   | 1.1529          | 0.1724 | 1.1529 |
 ### Framework versions