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arabert_cross_organization_task1_fold4

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@@ -3,20 +3,20 @@ 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_cross_organization_task1_fold3
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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_cross_organization_task1_fold3
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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: 0.5415
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- - Qwk: 0.7472
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- - Mse: 0.5415
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  ## Model description
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@@ -45,83 +45,88 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.1333 | 2 | 1.8315 | 0.1530 | 1.8315 |
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- | No log | 0.2667 | 4 | 1.4232 | 0.1303 | 1.4232 |
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- | No log | 0.4 | 6 | 1.3057 | 0.4221 | 1.3057 |
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- | No log | 0.5333 | 8 | 0.9837 | 0.5056 | 0.9837 |
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- | No log | 0.6667 | 10 | 0.9513 | 0.7091 | 0.9513 |
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- | No log | 0.8 | 12 | 0.8371 | 0.7415 | 0.8371 |
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- | No log | 0.9333 | 14 | 0.7233 | 0.6918 | 0.7233 |
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- | No log | 1.0667 | 16 | 0.6922 | 0.7196 | 0.6922 |
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- | No log | 1.2 | 18 | 0.6535 | 0.7225 | 0.6535 |
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- | No log | 1.3333 | 20 | 0.6214 | 0.6382 | 0.6214 |
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- | No log | 1.4667 | 22 | 0.6214 | 0.6481 | 0.6214 |
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- | No log | 1.6 | 24 | 0.6577 | 0.6929 | 0.6577 |
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- | No log | 1.7333 | 26 | 0.6144 | 0.6652 | 0.6144 |
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- | No log | 1.8667 | 28 | 0.7474 | 0.5722 | 0.7474 |
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- | No log | 2.0 | 30 | 0.6810 | 0.6294 | 0.6810 |
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- | No log | 2.1333 | 32 | 0.6202 | 0.7358 | 0.6202 |
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- | No log | 2.2667 | 34 | 0.6151 | 0.6751 | 0.6151 |
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- | No log | 2.4 | 36 | 0.6002 | 0.6738 | 0.6002 |
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- | No log | 2.5333 | 38 | 0.5749 | 0.7000 | 0.5749 |
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- | No log | 2.6667 | 40 | 0.5666 | 0.7675 | 0.5666 |
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- | No log | 2.8 | 42 | 0.6051 | 0.7937 | 0.6051 |
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- | No log | 2.9333 | 44 | 0.5435 | 0.7839 | 0.5435 |
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- | No log | 3.0667 | 46 | 0.5462 | 0.6799 | 0.5462 |
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- | No log | 3.2 | 48 | 0.5199 | 0.7618 | 0.5199 |
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- | No log | 3.3333 | 50 | 0.5686 | 0.7827 | 0.5686 |
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- | No log | 3.4667 | 52 | 0.5681 | 0.7750 | 0.5681 |
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- | No log | 3.6 | 54 | 0.5202 | 0.7756 | 0.5202 |
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- | No log | 3.7333 | 56 | 0.5295 | 0.7412 | 0.5295 |
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- | No log | 3.8667 | 58 | 0.5478 | 0.7632 | 0.5478 |
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- | No log | 4.0 | 60 | 0.5733 | 0.7573 | 0.5733 |
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- | No log | 4.1333 | 62 | 0.6257 | 0.7566 | 0.6257 |
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- | No log | 4.2667 | 64 | 0.5977 | 0.7451 | 0.5977 |
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- | No log | 4.4 | 66 | 0.6316 | 0.6778 | 0.6316 |
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- | No log | 4.5333 | 68 | 0.5693 | 0.7216 | 0.5693 |
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- | No log | 4.6667 | 70 | 0.5614 | 0.7730 | 0.5614 |
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- | No log | 4.8 | 72 | 0.5561 | 0.7771 | 0.5561 |
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- | No log | 4.9333 | 74 | 0.5439 | 0.7692 | 0.5439 |
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- | No log | 5.0667 | 76 | 0.5722 | 0.7788 | 0.5722 |
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- | No log | 5.2 | 78 | 0.5816 | 0.7777 | 0.5816 |
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- | No log | 5.3333 | 80 | 0.5828 | 0.7436 | 0.5828 |
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- | No log | 5.4667 | 82 | 0.5916 | 0.6944 | 0.5916 |
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- | No log | 5.6 | 84 | 0.5655 | 0.7296 | 0.5655 |
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- | No log | 5.7333 | 86 | 0.5767 | 0.7728 | 0.5767 |
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- | No log | 5.8667 | 88 | 0.5590 | 0.7795 | 0.5590 |
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- | No log | 6.0 | 90 | 0.5207 | 0.7385 | 0.5207 |
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- | No log | 6.1333 | 92 | 0.5177 | 0.7374 | 0.5177 |
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- | No log | 6.2667 | 94 | 0.5230 | 0.7756 | 0.5230 |
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- | No log | 6.4 | 96 | 0.5599 | 0.7771 | 0.5599 |
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- | No log | 6.5333 | 98 | 0.5687 | 0.7802 | 0.5687 |
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- | No log | 6.6667 | 100 | 0.5450 | 0.7589 | 0.5450 |
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- | No log | 6.8 | 102 | 0.5470 | 0.7329 | 0.5470 |
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- | No log | 6.9333 | 104 | 0.5539 | 0.7073 | 0.5539 |
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- | No log | 7.0667 | 106 | 0.5586 | 0.7035 | 0.5586 |
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- | No log | 7.2 | 108 | 0.5647 | 0.7449 | 0.5647 |
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- | No log | 7.3333 | 110 | 0.5807 | 0.7533 | 0.5807 |
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- | No log | 7.4667 | 112 | 0.5667 | 0.7369 | 0.5667 |
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- | No log | 7.6 | 114 | 0.5602 | 0.7153 | 0.5602 |
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- | No log | 7.7333 | 116 | 0.5570 | 0.7251 | 0.5570 |
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- | No log | 7.8667 | 118 | 0.5524 | 0.7335 | 0.5524 |
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- | No log | 8.0 | 120 | 0.5563 | 0.7569 | 0.5563 |
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- | No log | 8.1333 | 122 | 0.5503 | 0.7474 | 0.5503 |
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- | No log | 8.2667 | 124 | 0.5434 | 0.7544 | 0.5434 |
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- | No log | 8.4 | 126 | 0.5579 | 0.7695 | 0.5579 |
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- | No log | 8.5333 | 128 | 0.5668 | 0.7794 | 0.5668 |
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- | No log | 8.6667 | 130 | 0.5537 | 0.7567 | 0.5537 |
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- | No log | 8.8 | 132 | 0.5391 | 0.7511 | 0.5391 |
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- | No log | 8.9333 | 134 | 0.5365 | 0.7457 | 0.5365 |
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- | No log | 9.0667 | 136 | 0.5367 | 0.7452 | 0.5367 |
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- | No log | 9.2 | 138 | 0.5391 | 0.7439 | 0.5391 |
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- | No log | 9.3333 | 140 | 0.5431 | 0.7438 | 0.5431 |
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- | No log | 9.4667 | 142 | 0.5435 | 0.7438 | 0.5435 |
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- | No log | 9.6 | 144 | 0.5455 | 0.7477 | 0.5455 |
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- | No log | 9.7333 | 146 | 0.5440 | 0.7438 | 0.5440 |
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- | No log | 9.8667 | 148 | 0.5422 | 0.7427 | 0.5422 |
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- | No log | 10.0 | 150 | 0.5415 | 0.7472 | 0.5415 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task1_fold4
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
+ # arabert_cross_organization_task1_fold4
14
 
15
  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: 0.4588
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+ - Qwk: 0.6885
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+ - Mse: 0.4588
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.125 | 2 | 3.0429 | 0.0044 | 3.0429 |
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+ | No log | 0.25 | 4 | 1.6578 | 0.1373 | 1.6578 |
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+ | No log | 0.375 | 6 | 0.9445 | 0.3393 | 0.9445 |
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+ | No log | 0.5 | 8 | 0.7446 | 0.4700 | 0.7446 |
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+ | No log | 0.625 | 10 | 0.8109 | 0.4239 | 0.8109 |
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+ | No log | 0.75 | 12 | 0.5652 | 0.6068 | 0.5652 |
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+ | No log | 0.875 | 14 | 0.6877 | 0.6129 | 0.6877 |
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+ | No log | 1.0 | 16 | 0.5401 | 0.6022 | 0.5401 |
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+ | No log | 1.125 | 18 | 0.5571 | 0.5613 | 0.5571 |
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+ | No log | 1.25 | 20 | 0.4854 | 0.6440 | 0.4854 |
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+ | No log | 1.375 | 22 | 0.5443 | 0.7366 | 0.5443 |
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+ | No log | 1.5 | 24 | 0.5077 | 0.7444 | 0.5077 |
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+ | No log | 1.625 | 26 | 0.5015 | 0.6266 | 0.5015 |
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+ | No log | 1.75 | 28 | 0.5012 | 0.6164 | 0.5012 |
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+ | No log | 1.875 | 30 | 0.4504 | 0.7043 | 0.4504 |
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+ | No log | 2.0 | 32 | 0.4864 | 0.7187 | 0.4864 |
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+ | No log | 2.125 | 34 | 0.4305 | 0.7243 | 0.4305 |
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+ | No log | 2.25 | 36 | 0.4572 | 0.6579 | 0.4572 |
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+ | No log | 2.375 | 38 | 0.4545 | 0.7032 | 0.4545 |
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+ | No log | 2.5 | 40 | 0.4159 | 0.7123 | 0.4159 |
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+ | No log | 2.625 | 42 | 0.4122 | 0.7591 | 0.4122 |
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+ | No log | 2.75 | 44 | 0.4424 | 0.7617 | 0.4424 |
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+ | No log | 2.875 | 46 | 0.4110 | 0.7600 | 0.4110 |
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+ | No log | 3.0 | 48 | 0.3993 | 0.7372 | 0.3993 |
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+ | No log | 3.125 | 50 | 0.3990 | 0.7391 | 0.3990 |
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+ | No log | 3.25 | 52 | 0.3923 | 0.7306 | 0.3923 |
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+ | No log | 3.375 | 54 | 0.4375 | 0.7685 | 0.4375 |
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+ | No log | 3.5 | 56 | 0.4628 | 0.7698 | 0.4628 |
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+ | No log | 3.625 | 58 | 0.4089 | 0.7365 | 0.4089 |
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+ | No log | 3.75 | 60 | 0.4113 | 0.7238 | 0.4113 |
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+ | No log | 3.875 | 62 | 0.4117 | 0.7308 | 0.4117 |
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+ | No log | 4.0 | 64 | 0.4183 | 0.7175 | 0.4183 |
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+ | No log | 4.125 | 66 | 0.4326 | 0.7175 | 0.4326 |
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+ | No log | 4.25 | 68 | 0.4439 | 0.7360 | 0.4439 |
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+ | No log | 4.375 | 70 | 0.4530 | 0.7375 | 0.4530 |
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+ | No log | 4.5 | 72 | 0.4458 | 0.7040 | 0.4458 |
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+ | No log | 4.625 | 74 | 0.4431 | 0.7054 | 0.4431 |
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+ | No log | 4.75 | 76 | 0.4403 | 0.6980 | 0.4403 |
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+ | No log | 4.875 | 78 | 0.4350 | 0.7144 | 0.4350 |
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+ | No log | 5.0 | 80 | 0.4311 | 0.7511 | 0.4311 |
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+ | No log | 5.125 | 82 | 0.4257 | 0.7418 | 0.4257 |
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+ | No log | 5.25 | 84 | 0.4298 | 0.7174 | 0.4298 |
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+ | No log | 5.375 | 86 | 0.4420 | 0.6877 | 0.4420 |
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+ | No log | 5.5 | 88 | 0.4344 | 0.7174 | 0.4344 |
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+ | No log | 5.625 | 90 | 0.4324 | 0.7146 | 0.4324 |
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+ | No log | 5.75 | 92 | 0.4363 | 0.7566 | 0.4363 |
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+ | No log | 5.875 | 94 | 0.4499 | 0.7689 | 0.4499 |
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+ | No log | 6.0 | 96 | 0.4217 | 0.7367 | 0.4217 |
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+ | No log | 6.125 | 98 | 0.4252 | 0.7237 | 0.4252 |
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+ | No log | 6.25 | 100 | 0.4235 | 0.7141 | 0.4235 |
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+ | No log | 6.375 | 102 | 0.4211 | 0.7230 | 0.4211 |
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+ | No log | 6.5 | 104 | 0.4285 | 0.7493 | 0.4285 |
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+ | No log | 6.625 | 106 | 0.4367 | 0.7530 | 0.4367 |
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+ | No log | 6.75 | 108 | 0.4214 | 0.7457 | 0.4214 |
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+ | No log | 6.875 | 110 | 0.4380 | 0.6930 | 0.4380 |
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+ | No log | 7.0 | 112 | 0.4555 | 0.6727 | 0.4555 |
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+ | No log | 7.125 | 114 | 0.4358 | 0.6947 | 0.4358 |
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+ | No log | 7.25 | 116 | 0.4270 | 0.7277 | 0.4270 |
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+ | No log | 7.375 | 118 | 0.4349 | 0.7457 | 0.4349 |
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+ | No log | 7.5 | 120 | 0.4430 | 0.7382 | 0.4430 |
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+ | No log | 7.625 | 122 | 0.4539 | 0.7257 | 0.4539 |
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+ | No log | 7.75 | 124 | 0.4623 | 0.7204 | 0.4623 |
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+ | No log | 7.875 | 126 | 0.4640 | 0.7110 | 0.4640 |
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+ | No log | 8.0 | 128 | 0.4644 | 0.7115 | 0.4644 |
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+ | No log | 8.125 | 130 | 0.4639 | 0.7095 | 0.4639 |
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+ | No log | 8.25 | 132 | 0.4612 | 0.7073 | 0.4612 |
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+ | No log | 8.375 | 134 | 0.4652 | 0.6865 | 0.4652 |
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+ | No log | 8.5 | 136 | 0.4689 | 0.6753 | 0.4689 |
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+ | No log | 8.625 | 138 | 0.4608 | 0.6849 | 0.4608 |
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+ | No log | 8.75 | 140 | 0.4553 | 0.6907 | 0.4553 |
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+ | No log | 8.875 | 142 | 0.4538 | 0.6930 | 0.4538 |
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+ | No log | 9.0 | 144 | 0.4537 | 0.7172 | 0.4537 |
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+ | No log | 9.125 | 146 | 0.4564 | 0.7273 | 0.4564 |
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+ | No log | 9.25 | 148 | 0.4582 | 0.7294 | 0.4582 |
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+ | No log | 9.375 | 150 | 0.4572 | 0.7267 | 0.4572 |
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+ | No log | 9.5 | 152 | 0.4559 | 0.7093 | 0.4559 |
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+ | No log | 9.625 | 154 | 0.4566 | 0.7000 | 0.4566 |
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+ | No log | 9.75 | 156 | 0.4582 | 0.6885 | 0.4582 |
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+ | No log | 9.875 | 158 | 0.4588 | 0.6885 | 0.4588 |
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+ | No log | 10.0 | 160 | 0.4588 | 0.6885 | 0.4588 |
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  ### Framework versions