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arabert_cross_organization_task2_fold1

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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_task2_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_cross_organization_task2_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: 0.8868
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- - Qwk: 0.5359
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- - Mse: 0.8876
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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 | 5.2895 | 0.0054 | 5.2856 |
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- | No log | 0.2667 | 4 | 3.0949 | 0.0698 | 3.0914 |
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- | No log | 0.4 | 6 | 1.6236 | 0.2168 | 1.6216 |
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- | No log | 0.5333 | 8 | 1.1930 | 0.2638 | 1.1920 |
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- | No log | 0.6667 | 10 | 1.7940 | 0.2599 | 1.7930 |
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- | No log | 0.8 | 12 | 3.2795 | 0.1504 | 3.2772 |
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- | No log | 0.9333 | 14 | 2.3117 | 0.2122 | 2.3105 |
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- | No log | 1.0667 | 16 | 1.3259 | 0.3185 | 1.3250 |
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- | No log | 1.2 | 18 | 1.1156 | 0.3075 | 1.1147 |
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- | No log | 1.3333 | 20 | 1.0743 | 0.3306 | 1.0736 |
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- | No log | 1.4667 | 22 | 1.2168 | 0.3511 | 1.2161 |
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- | No log | 1.6 | 24 | 1.3139 | 0.3493 | 1.3135 |
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- | No log | 1.7333 | 26 | 1.2219 | 0.3893 | 1.2216 |
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- | No log | 1.8667 | 28 | 0.9789 | 0.4805 | 0.9789 |
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- | No log | 2.0 | 30 | 0.8254 | 0.5525 | 0.8256 |
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- | No log | 2.1333 | 32 | 0.8267 | 0.5514 | 0.8268 |
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- | No log | 2.2667 | 34 | 0.8956 | 0.4976 | 0.8958 |
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- | No log | 2.4 | 36 | 1.2761 | 0.3798 | 1.2761 |
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- | No log | 2.5333 | 38 | 1.5640 | 0.3427 | 1.5638 |
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- | No log | 2.6667 | 40 | 1.3598 | 0.3678 | 1.3596 |
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- | No log | 2.8 | 42 | 1.0347 | 0.4562 | 1.0345 |
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- | No log | 2.9333 | 44 | 0.9138 | 0.4910 | 0.9135 |
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- | No log | 3.0667 | 46 | 0.8461 | 0.5492 | 0.8459 |
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- | No log | 3.2 | 48 | 0.8243 | 0.5507 | 0.8244 |
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- | No log | 3.3333 | 50 | 1.0141 | 0.4952 | 1.0142 |
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- | No log | 3.4667 | 52 | 1.0921 | 0.4640 | 1.0921 |
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- | No log | 3.6 | 54 | 1.0221 | 0.4941 | 1.0220 |
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- | No log | 3.7333 | 56 | 0.8836 | 0.5285 | 0.8836 |
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- | No log | 3.8667 | 58 | 0.7919 | 0.5711 | 0.7921 |
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- | No log | 4.0 | 60 | 0.8281 | 0.5532 | 0.8283 |
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- | No log | 4.1333 | 62 | 0.9534 | 0.5227 | 0.9536 |
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- | No log | 4.2667 | 64 | 0.9598 | 0.5211 | 0.9601 |
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- | No log | 4.4 | 66 | 0.9166 | 0.5419 | 0.9169 |
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- | No log | 4.5333 | 68 | 0.8422 | 0.5565 | 0.8426 |
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- | No log | 4.6667 | 70 | 0.8553 | 0.5458 | 0.8556 |
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- | No log | 4.8 | 72 | 0.9644 | 0.5070 | 0.9646 |
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- | No log | 4.9333 | 74 | 0.9798 | 0.5192 | 0.9801 |
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- | No log | 5.0667 | 76 | 0.9185 | 0.5327 | 0.9189 |
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- | No log | 5.2 | 78 | 0.8475 | 0.5427 | 0.8479 |
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- | No log | 5.3333 | 80 | 0.8340 | 0.5557 | 0.8344 |
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- | No log | 5.4667 | 82 | 0.8878 | 0.5405 | 0.8882 |
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- | No log | 5.6 | 84 | 0.9622 | 0.5199 | 0.9627 |
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- | No log | 5.7333 | 86 | 0.9394 | 0.5278 | 0.9398 |
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- | No log | 5.8667 | 88 | 0.8872 | 0.5334 | 0.8876 |
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- | No log | 6.0 | 90 | 0.8248 | 0.5428 | 0.8252 |
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- | No log | 6.1333 | 92 | 0.8451 | 0.5371 | 0.8454 |
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- | No log | 6.2667 | 94 | 0.8324 | 0.5384 | 0.8326 |
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- | No log | 6.4 | 96 | 0.7920 | 0.5786 | 0.7922 |
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- | No log | 6.5333 | 98 | 0.8023 | 0.5742 | 0.8025 |
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- | No log | 6.6667 | 100 | 0.8667 | 0.5474 | 0.8670 |
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- | No log | 6.8 | 102 | 0.9364 | 0.5182 | 0.9367 |
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- | No log | 6.9333 | 104 | 0.9710 | 0.5093 | 0.9714 |
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- | No log | 7.0667 | 106 | 1.0089 | 0.4947 | 1.0094 |
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- | No log | 7.2 | 108 | 0.9682 | 0.5057 | 0.9687 |
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- | No log | 7.3333 | 110 | 0.8275 | 0.5472 | 0.8281 |
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- | No log | 7.4667 | 112 | 0.7651 | 0.5844 | 0.7658 |
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- | No log | 7.6 | 114 | 0.7873 | 0.5622 | 0.7879 |
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- | No log | 7.7333 | 116 | 0.8290 | 0.5478 | 0.8297 |
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- | No log | 7.8667 | 118 | 0.8907 | 0.5182 | 0.8914 |
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- | No log | 8.0 | 120 | 0.9161 | 0.5170 | 0.9168 |
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- | No log | 8.1333 | 122 | 0.9115 | 0.5170 | 0.9122 |
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- | No log | 8.2667 | 124 | 0.9104 | 0.5170 | 0.9111 |
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- | No log | 8.4 | 126 | 0.8932 | 0.5228 | 0.8940 |
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- | No log | 8.5333 | 128 | 0.8537 | 0.5382 | 0.8545 |
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- | No log | 8.6667 | 130 | 0.8599 | 0.5382 | 0.8607 |
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- | No log | 8.8 | 132 | 0.9062 | 0.5144 | 0.9070 |
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- | No log | 8.9333 | 134 | 0.9172 | 0.5132 | 0.9181 |
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- | No log | 9.0667 | 136 | 0.9365 | 0.5161 | 0.9374 |
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- | No log | 9.2 | 138 | 0.9530 | 0.5138 | 0.9539 |
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- | No log | 9.3333 | 140 | 0.9499 | 0.5138 | 0.9508 |
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- | No log | 9.4667 | 142 | 0.9352 | 0.5134 | 0.9361 |
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- | No log | 9.6 | 144 | 0.9147 | 0.5132 | 0.9155 |
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- | No log | 9.7333 | 146 | 0.8945 | 0.5311 | 0.8953 |
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- | No log | 9.8667 | 148 | 0.8886 | 0.5310 | 0.8894 |
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- | No log | 10.0 | 150 | 0.8868 | 0.5359 | 0.8876 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task2_fold1
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_task2_fold1
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: 0.9665
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+ - Qwk: 0.1843
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+ - Mse: 0.9638
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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 | 4.9621 | 0.0014 | 4.9593 |
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+ | No log | 0.25 | 4 | 2.1315 | -0.0199 | 2.1286 |
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+ | No log | 0.375 | 6 | 0.9548 | 0.0027 | 0.9513 |
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+ | No log | 0.5 | 8 | 0.8530 | 0.0678 | 0.8507 |
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+ | No log | 0.625 | 10 | 0.7928 | 0.1306 | 0.7900 |
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+ | No log | 0.75 | 12 | 0.7710 | 0.1552 | 0.7682 |
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+ | No log | 0.875 | 14 | 0.8786 | -0.0670 | 0.8766 |
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+ | No log | 1.0 | 16 | 0.9254 | -0.0565 | 0.9242 |
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+ | No log | 1.125 | 18 | 1.0088 | -0.0232 | 1.0068 |
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+ | No log | 1.25 | 20 | 0.8151 | 0.1520 | 0.8123 |
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+ | No log | 1.375 | 22 | 0.7943 | 0.0808 | 0.7913 |
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+ | No log | 1.5 | 24 | 0.8986 | 0.0767 | 0.8958 |
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+ | No log | 1.625 | 26 | 0.9046 | 0.0935 | 0.9018 |
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+ | No log | 1.75 | 28 | 0.8005 | 0.0962 | 0.7975 |
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+ | No log | 1.875 | 30 | 0.8246 | 0.1261 | 0.8217 |
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+ | No log | 2.0 | 32 | 1.0455 | 0.0565 | 1.0427 |
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+ | No log | 2.125 | 34 | 1.0848 | 0.0536 | 1.0819 |
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+ | No log | 2.25 | 36 | 0.8432 | 0.1284 | 0.8401 |
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+ | No log | 2.375 | 38 | 0.8148 | 0.1252 | 0.8116 |
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+ | No log | 2.5 | 40 | 0.9950 | 0.0565 | 0.9919 |
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+ | No log | 2.625 | 42 | 1.3659 | 0.0 | 1.3632 |
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+ | No log | 2.75 | 44 | 1.3473 | 0.0 | 1.3447 |
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+ | No log | 2.875 | 46 | 1.0770 | 0.0536 | 1.0742 |
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+ | No log | 3.0 | 48 | 0.9980 | 0.1016 | 0.9952 |
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+ | No log | 3.125 | 50 | 1.2032 | 0.0 | 1.2005 |
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+ | No log | 3.25 | 52 | 1.5241 | 0.0 | 1.5217 |
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+ | No log | 3.375 | 54 | 1.5210 | 0.0231 | 1.5187 |
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+ | No log | 3.5 | 56 | 1.3342 | 0.0 | 1.3319 |
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+ | No log | 3.625 | 58 | 1.1036 | 0.0 | 1.1011 |
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+ | No log | 3.75 | 60 | 1.0121 | 0.0536 | 1.0095 |
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+ | No log | 3.875 | 62 | 1.1441 | 0.0 | 1.1415 |
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+ | No log | 4.0 | 64 | 1.3639 | 0.0 | 1.3614 |
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+ | No log | 4.125 | 66 | 1.3735 | 0.0025 | 1.3709 |
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+ | No log | 4.25 | 68 | 1.0825 | 0.0 | 1.0799 |
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+ | No log | 4.375 | 70 | 0.9120 | 0.1641 | 0.9093 |
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+ | No log | 4.5 | 72 | 0.9506 | 0.1277 | 0.9480 |
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+ | No log | 4.625 | 74 | 1.1517 | 0.0 | 1.1492 |
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+ | No log | 4.75 | 76 | 1.2276 | 0.0 | 1.2251 |
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+ | No log | 4.875 | 78 | 1.1183 | 0.0 | 1.1159 |
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+ | No log | 5.0 | 80 | 1.0068 | 0.0333 | 1.0043 |
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+ | No log | 5.125 | 82 | 1.0353 | 0.0360 | 1.0328 |
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+ | No log | 5.25 | 84 | 1.2149 | 0.0025 | 1.2124 |
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+ | No log | 5.375 | 86 | 1.3871 | -0.0077 | 1.3847 |
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+ | No log | 5.5 | 88 | 1.3159 | -0.0052 | 1.3135 |
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+ | No log | 5.625 | 90 | 1.1412 | 0.0600 | 1.1386 |
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+ | No log | 5.75 | 92 | 1.1161 | 0.0755 | 1.1135 |
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+ | No log | 5.875 | 94 | 1.0471 | 0.1059 | 1.0444 |
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+ | No log | 6.0 | 96 | 0.9768 | 0.1096 | 0.9740 |
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+ | No log | 6.125 | 98 | 0.8671 | 0.2312 | 0.8642 |
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+ | No log | 6.25 | 100 | 0.8025 | 0.1206 | 0.7994 |
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+ | No log | 6.375 | 102 | 0.8027 | 0.1414 | 0.7995 |
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+ | No log | 6.5 | 104 | 0.8550 | 0.1743 | 0.8519 |
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+ | No log | 6.625 | 106 | 0.9815 | 0.0889 | 0.9787 |
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+ | No log | 6.75 | 108 | 1.0738 | 0.0846 | 1.0710 |
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+ | No log | 6.875 | 110 | 1.1903 | 0.1144 | 1.1876 |
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+ | No log | 7.0 | 112 | 1.2101 | 0.1122 | 1.2074 |
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+ | No log | 7.125 | 114 | 1.2463 | 0.0812 | 1.2436 |
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+ | No log | 7.25 | 116 | 1.3137 | 0.0117 | 1.3110 |
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+ | No log | 7.375 | 118 | 1.3237 | -0.0052 | 1.3210 |
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+ | No log | 7.5 | 120 | 1.2538 | 0.0649 | 1.2512 |
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+ | No log | 7.625 | 122 | 1.2188 | 0.1004 | 1.2162 |
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+ | No log | 7.75 | 124 | 1.1146 | 0.1281 | 1.1120 |
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+ | No log | 7.875 | 126 | 1.0332 | 0.1480 | 1.0306 |
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+ | No log | 8.0 | 128 | 0.9680 | 0.1644 | 0.9653 |
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+ | No log | 8.125 | 130 | 0.9608 | 0.1792 | 0.9581 |
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+ | No log | 8.25 | 132 | 0.9993 | 0.1681 | 0.9966 |
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+ | No log | 8.375 | 134 | 1.0373 | 0.0889 | 1.0347 |
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+ | No log | 8.5 | 136 | 1.0747 | 0.1177 | 1.0721 |
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+ | No log | 8.625 | 138 | 1.0865 | 0.1030 | 1.0839 |
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+ | No log | 8.75 | 140 | 1.0732 | 0.1486 | 1.0707 |
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+ | No log | 8.875 | 142 | 1.0424 | 0.1505 | 1.0398 |
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+ | No log | 9.0 | 144 | 1.0425 | 0.1505 | 1.0399 |
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+ | No log | 9.125 | 146 | 1.0220 | 0.1587 | 1.0194 |
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+ | No log | 9.25 | 148 | 1.0055 | 0.2009 | 1.0029 |
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+ | No log | 9.375 | 150 | 0.9949 | 0.1941 | 0.9923 |
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+ | No log | 9.5 | 152 | 0.9725 | 0.1875 | 0.9698 |
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+ | No log | 9.625 | 154 | 0.9600 | 0.2145 | 0.9574 |
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+ | No log | 9.75 | 156 | 0.9593 | 0.2145 | 0.9566 |
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+ | No log | 9.875 | 158 | 0.9660 | 0.1843 | 0.9634 |
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+ | No log | 10.0 | 160 | 0.9665 | 0.1843 | 0.9638 |
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  ### Framework versions