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arabert_no_augmentation_organization_task3_fold1

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@@ -4,21 +4,21 @@ base_model: aubmindlab/bert-base-arabertv02
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: arabert_no_augmentation_organization_task3_fold0
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # arabert_no_augmentation_organization_task3_fold0
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1570
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- - Qwk: 0.0530
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- - Mse: 1.1570
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- - Rmse: 1.0757
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  ## Model description
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@@ -49,36 +49,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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- | No log | 0.3333 | 2 | 5.0689 | -0.0476 | 5.0689 | 2.2514 |
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- | No log | 0.6667 | 4 | 1.7860 | -0.0722 | 1.7860 | 1.3364 |
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- | No log | 1.0 | 6 | 1.1691 | -0.0732 | 1.1691 | 1.0813 |
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- | No log | 1.3333 | 8 | 1.1079 | -0.1579 | 1.1079 | 1.0526 |
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- | No log | 1.6667 | 10 | 1.1020 | -0.0565 | 1.1020 | 1.0498 |
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- | No log | 2.0 | 12 | 1.5769 | -0.0942 | 1.5769 | 1.2558 |
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- | No log | 2.3333 | 14 | 1.4104 | 0.0 | 1.4104 | 1.1876 |
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- | No log | 2.6667 | 16 | 1.0770 | -0.0565 | 1.0770 | 1.0378 |
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- | No log | 3.0 | 18 | 0.9699 | -0.1159 | 0.9699 | 0.9848 |
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- | No log | 3.3333 | 20 | 0.9699 | -0.3200 | 0.9699 | 0.9848 |
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- | No log | 3.6667 | 22 | 1.0176 | 0.2080 | 1.0176 | 1.0087 |
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- | No log | 4.0 | 24 | 1.0147 | 0.2080 | 1.0147 | 1.0073 |
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- | No log | 4.3333 | 26 | 0.9831 | -0.1440 | 0.9831 | 0.9915 |
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- | No log | 4.6667 | 28 | 0.9729 | -0.1440 | 0.9729 | 0.9864 |
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- | No log | 5.0 | 30 | 0.9957 | 0.0610 | 0.9957 | 0.9979 |
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- | No log | 5.3333 | 32 | 1.0175 | 0.0610 | 1.0175 | 1.0087 |
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- | No log | 5.6667 | 34 | 1.0829 | -0.1440 | 1.0829 | 1.0406 |
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- | No log | 6.0 | 36 | 1.1247 | -0.1440 | 1.1247 | 1.0605 |
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- | No log | 6.3333 | 38 | 1.1230 | -0.1440 | 1.1230 | 1.0597 |
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- | No log | 6.6667 | 40 | 1.1027 | 0.0435 | 1.1027 | 1.0501 |
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- | No log | 7.0 | 42 | 1.1089 | 0.0435 | 1.1089 | 1.0530 |
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- | No log | 7.3333 | 44 | 1.1313 | 0.0435 | 1.1313 | 1.0636 |
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- | No log | 7.6667 | 46 | 1.1576 | -0.2384 | 1.1576 | 1.0759 |
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- | No log | 8.0 | 48 | 1.2109 | -0.1440 | 1.2109 | 1.1004 |
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- | No log | 8.3333 | 50 | 1.2319 | -0.1440 | 1.2319 | 1.1099 |
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- | No log | 8.6667 | 52 | 1.2094 | -0.1440 | 1.2094 | 1.0997 |
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- | No log | 9.0 | 54 | 1.1764 | 0.0530 | 1.1764 | 1.0846 |
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- | No log | 9.3333 | 56 | 1.1550 | 0.0530 | 1.1550 | 1.0747 |
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- | No log | 9.6667 | 58 | 1.1531 | 0.0530 | 1.1531 | 1.0738 |
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- | No log | 10.0 | 60 | 1.1570 | 0.0530 | 1.1570 | 1.0757 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: arabert_no_augmentation_organization_task3_fold1
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # arabert_no_augmentation_organization_task3_fold1
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5692
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+ - Qwk: 0.2787
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+ - Mse: 0.5692
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+ - Rmse: 0.7545
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:------:|
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+ | No log | 0.3333 | 2 | 3.5251 | -0.0035 | 3.5251 | 1.8775 |
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+ | No log | 0.6667 | 4 | 3.0669 | 0.0000 | 3.0669 | 1.7513 |
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+ | No log | 1.0 | 6 | 0.8766 | -0.0097 | 0.8766 | 0.9363 |
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+ | No log | 1.3333 | 8 | 0.5134 | 0.1879 | 0.5134 | 0.7166 |
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+ | No log | 1.6667 | 10 | 0.7733 | 0.0120 | 0.7733 | 0.8794 |
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+ | No log | 2.0 | 12 | 0.7862 | 0.0 | 0.7862 | 0.8867 |
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+ | No log | 2.3333 | 14 | 0.8025 | 0.0 | 0.8025 | 0.8958 |
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+ | No log | 2.6667 | 16 | 0.7806 | 0.0 | 0.7806 | 0.8835 |
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+ | No log | 3.0 | 18 | 0.7336 | 0.0 | 0.7336 | 0.8565 |
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+ | No log | 3.3333 | 20 | 0.7123 | 0.0120 | 0.7123 | 0.8440 |
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+ | No log | 3.6667 | 22 | 0.5665 | 0.1879 | 0.5665 | 0.7527 |
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+ | No log | 4.0 | 24 | 0.5538 | 0.1437 | 0.5538 | 0.7442 |
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+ | No log | 4.3333 | 26 | 0.5751 | 0.1437 | 0.5751 | 0.7583 |
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+ | No log | 4.6667 | 28 | 0.5236 | 0.1646 | 0.5236 | 0.7236 |
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+ | No log | 5.0 | 30 | 0.5102 | 0.1879 | 0.5102 | 0.7143 |
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+ | No log | 5.3333 | 32 | 0.5278 | 0.2787 | 0.5278 | 0.7265 |
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+ | No log | 5.6667 | 34 | 0.5239 | 0.2787 | 0.5239 | 0.7238 |
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+ | No log | 6.0 | 36 | 0.5271 | 0.2787 | 0.5271 | 0.7260 |
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+ | No log | 6.3333 | 38 | 0.5528 | 0.2787 | 0.5528 | 0.7435 |
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+ | No log | 6.6667 | 40 | 0.5424 | 0.2787 | 0.5424 | 0.7365 |
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+ | No log | 7.0 | 42 | 0.5288 | 0.2143 | 0.5288 | 0.7272 |
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+ | No log | 7.3333 | 44 | 0.6313 | 0.0120 | 0.6313 | 0.7945 |
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+ | No log | 7.6667 | 46 | 0.6472 | 0.0120 | 0.6472 | 0.8045 |
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+ | No log | 8.0 | 48 | 0.5712 | 0.2143 | 0.5712 | 0.7558 |
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+ | No log | 8.3333 | 50 | 0.5361 | 0.2143 | 0.5361 | 0.7322 |
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+ | No log | 8.6667 | 52 | 0.5450 | 0.2787 | 0.5450 | 0.7382 |
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+ | No log | 9.0 | 54 | 0.5602 | 0.2787 | 0.5602 | 0.7485 |
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+ | No log | 9.3333 | 56 | 0.5743 | 0.2787 | 0.5743 | 0.7578 |
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+ | No log | 9.6667 | 58 | 0.5732 | 0.2787 | 0.5732 | 0.7571 |
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+ | No log | 10.0 | 60 | 0.5692 | 0.2787 | 0.5692 | 0.7545 |
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  ### Framework versions