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arabert_cross_organization_task5_fold4

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bert
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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_task5_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_task5_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: 1.2242
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- - Qwk: 0.1257
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- - Mse: 1.2242
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  ## Model description
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@@ -45,93 +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 | 0.1176 | 2 | 4.3828 | -0.0124 | 4.3828 |
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- | No log | 0.2353 | 4 | 1.7251 | 0.0041 | 1.7251 |
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- | No log | 0.3529 | 6 | 1.2217 | 0.0734 | 1.2217 |
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- | No log | 0.4706 | 8 | 1.1541 | -0.0141 | 1.1541 |
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- | No log | 0.5882 | 10 | 1.1775 | -0.0461 | 1.1775 |
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- | No log | 0.7059 | 12 | 1.1336 | 0.0379 | 1.1336 |
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- | No log | 0.8235 | 14 | 1.1142 | 0.0423 | 1.1142 |
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- | No log | 0.9412 | 16 | 1.1059 | 0.0379 | 1.1059 |
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- | No log | 1.0588 | 18 | 1.1059 | 0.0924 | 1.1059 |
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- | No log | 1.1765 | 20 | 1.1052 | 0.0709 | 1.1052 |
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- | No log | 1.2941 | 22 | 1.1261 | 0.0646 | 1.1261 |
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- | No log | 1.4118 | 24 | 1.1338 | 0.0829 | 1.1338 |
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- | No log | 1.5294 | 26 | 1.1439 | 0.0944 | 1.1439 |
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- | No log | 1.6471 | 28 | 1.1713 | 0.0036 | 1.1713 |
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- | No log | 1.7647 | 30 | 1.3086 | 0.0105 | 1.3086 |
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- | No log | 1.8824 | 32 | 1.5561 | -0.0786 | 1.5561 |
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- | No log | 2.0 | 34 | 1.4534 | -0.0609 | 1.4534 |
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- | No log | 2.1176 | 36 | 1.2239 | 0.0407 | 1.2239 |
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- | No log | 2.2353 | 38 | 1.1711 | 0.0291 | 1.1711 |
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- | No log | 2.3529 | 40 | 1.1836 | 0.0190 | 1.1836 |
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- | No log | 2.4706 | 42 | 1.1290 | 0.0963 | 1.1290 |
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- | No log | 2.5882 | 44 | 1.1464 | 0.0201 | 1.1464 |
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- | No log | 2.7059 | 46 | 1.1366 | 0.0472 | 1.1366 |
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- | No log | 2.8235 | 48 | 1.1635 | 0.0397 | 1.1635 |
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- | No log | 2.9412 | 50 | 1.1571 | 0.0835 | 1.1571 |
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- | No log | 3.0588 | 52 | 1.1920 | 0.0170 | 1.1920 |
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- | No log | 3.1765 | 54 | 1.1867 | 0.0170 | 1.1867 |
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- | No log | 3.2941 | 56 | 1.1690 | 0.0502 | 1.1690 |
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- | No log | 3.4118 | 58 | 1.2051 | -0.0577 | 1.2051 |
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- | No log | 3.5294 | 60 | 1.1905 | 0.0665 | 1.1905 |
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- | No log | 3.6471 | 62 | 1.2133 | 0.0774 | 1.2133 |
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- | No log | 3.7647 | 64 | 1.2200 | 0.0563 | 1.2200 |
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- | No log | 3.8824 | 66 | 1.3632 | -0.0355 | 1.3632 |
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- | No log | 4.0 | 68 | 1.4047 | -0.0128 | 1.4047 |
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- | No log | 4.1176 | 70 | 1.2417 | -0.0439 | 1.2417 |
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- | No log | 4.2353 | 72 | 1.1986 | 0.0762 | 1.1986 |
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- | No log | 4.3529 | 74 | 1.2413 | 0.0193 | 1.2413 |
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- | No log | 4.4706 | 76 | 1.2285 | 0.0197 | 1.2285 |
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- | No log | 4.5882 | 78 | 1.1521 | 0.0963 | 1.1521 |
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- | No log | 4.7059 | 80 | 1.1339 | 0.1452 | 1.1339 |
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- | No log | 4.8235 | 82 | 1.1310 | 0.1751 | 1.1310 |
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- | No log | 4.9412 | 84 | 1.1433 | 0.1167 | 1.1433 |
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- | No log | 5.0588 | 86 | 1.1588 | 0.1167 | 1.1588 |
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- | No log | 5.1765 | 88 | 1.1625 | 0.0800 | 1.1625 |
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- | No log | 5.2941 | 90 | 1.1773 | 0.0762 | 1.1773 |
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- | No log | 5.4118 | 92 | 1.2029 | 0.0692 | 1.2029 |
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- | No log | 5.5294 | 94 | 1.2328 | 0.0544 | 1.2328 |
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- | No log | 5.6471 | 96 | 1.2678 | 0.0635 | 1.2678 |
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- | No log | 5.7647 | 98 | 1.2562 | 0.0948 | 1.2562 |
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- | No log | 5.8824 | 100 | 1.2431 | -0.0243 | 1.2431 |
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- | No log | 6.0 | 102 | 1.2165 | -0.0191 | 1.2165 |
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- | No log | 6.1176 | 104 | 1.1810 | 0.0583 | 1.1810 |
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- | No log | 6.2353 | 106 | 1.1655 | 0.1009 | 1.1655 |
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- | No log | 6.3529 | 108 | 1.1492 | 0.1282 | 1.1492 |
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- | No log | 6.4706 | 110 | 1.1516 | 0.1082 | 1.1516 |
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- | No log | 6.5882 | 112 | 1.1420 | 0.1282 | 1.1420 |
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- | No log | 6.7059 | 114 | 1.1429 | 0.0909 | 1.1429 |
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- | No log | 6.8235 | 116 | 1.1601 | 0.0759 | 1.1601 |
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- | No log | 6.9412 | 118 | 1.1970 | 0.0482 | 1.1970 |
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- | No log | 7.0588 | 120 | 1.2180 | 0.0284 | 1.2180 |
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- | No log | 7.1765 | 122 | 1.1913 | 0.1109 | 1.1913 |
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- | No log | 7.2941 | 124 | 1.2011 | 0.1239 | 1.2011 |
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- | No log | 7.4118 | 126 | 1.2142 | 0.1239 | 1.2142 |
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- | No log | 7.5294 | 128 | 1.2462 | 0.0357 | 1.2462 |
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- | No log | 7.6471 | 130 | 1.2906 | 0.0199 | 1.2906 |
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- | No log | 7.7647 | 132 | 1.2722 | 0.0275 | 1.2722 |
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- | No log | 7.8824 | 134 | 1.2418 | 0.1080 | 1.2418 |
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- | No log | 8.0 | 136 | 1.2319 | 0.1080 | 1.2319 |
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- | No log | 8.1176 | 138 | 1.2288 | 0.0696 | 1.2288 |
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- | No log | 8.2353 | 140 | 1.2238 | 0.0833 | 1.2238 |
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- | No log | 8.3529 | 142 | 1.2114 | 0.0882 | 1.2114 |
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- | No log | 8.4706 | 144 | 1.2083 | 0.0747 | 1.2083 |
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- | No log | 8.5882 | 146 | 1.2039 | 0.0815 | 1.2039 |
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- | No log | 8.7059 | 148 | 1.2096 | 0.0882 | 1.2096 |
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- | No log | 8.8235 | 150 | 1.2230 | 0.0814 | 1.2230 |
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- | No log | 8.9412 | 152 | 1.2411 | 0.0429 | 1.2411 |
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- | No log | 9.0588 | 154 | 1.2602 | 0.0549 | 1.2602 |
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- | No log | 9.1765 | 156 | 1.2709 | 0.0659 | 1.2709 |
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- | No log | 9.2941 | 158 | 1.2729 | 0.0141 | 1.2729 |
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- | No log | 9.4118 | 160 | 1.2582 | 0.0024 | 1.2582 |
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- | No log | 9.5294 | 162 | 1.2378 | 0.1169 | 1.2378 |
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- | No log | 9.6471 | 164 | 1.2260 | 0.1065 | 1.2260 |
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- | No log | 9.7647 | 166 | 1.2223 | 0.1257 | 1.2223 |
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- | No log | 9.8824 | 168 | 1.2232 | 0.1257 | 1.2232 |
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- | No log | 10.0 | 170 | 1.2242 | 0.1257 | 1.2242 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task5_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_task5_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: 0.4286
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+ - Qwk: 0.7401
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+ - Mse: 0.4286
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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 | 1.9126 | 0.0900 | 1.9126 |
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+ | No log | 0.25 | 4 | 1.3553 | 0.0025 | 1.3553 |
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+ | No log | 0.375 | 6 | 1.0461 | 0.3696 | 1.0461 |
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+ | No log | 0.5 | 8 | 0.7260 | 0.5218 | 0.7260 |
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+ | No log | 0.625 | 10 | 0.6063 | 0.5755 | 0.6063 |
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+ | No log | 0.75 | 12 | 0.6127 | 0.7262 | 0.6127 |
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+ | No log | 0.875 | 14 | 0.6736 | 0.7318 | 0.6736 |
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+ | No log | 1.0 | 16 | 0.5956 | 0.6135 | 0.5956 |
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+ | No log | 1.125 | 18 | 0.5532 | 0.5825 | 0.5532 |
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+ | No log | 1.25 | 20 | 0.5116 | 0.5953 | 0.5116 |
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+ | No log | 1.375 | 22 | 0.5776 | 0.7239 | 0.5776 |
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+ | No log | 1.5 | 24 | 0.5445 | 0.7456 | 0.5445 |
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+ | No log | 1.625 | 26 | 0.5385 | 0.7516 | 0.5385 |
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+ | No log | 1.75 | 28 | 0.4556 | 0.7391 | 0.4556 |
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+ | No log | 1.875 | 30 | 0.4530 | 0.7546 | 0.4530 |
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+ | No log | 2.0 | 32 | 0.4987 | 0.7575 | 0.4987 |
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+ | No log | 2.125 | 34 | 0.4840 | 0.7553 | 0.4840 |
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+ | No log | 2.25 | 36 | 0.4749 | 0.7522 | 0.4749 |
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+ | No log | 2.375 | 38 | 0.3991 | 0.7577 | 0.3991 |
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+ | No log | 2.5 | 40 | 0.3891 | 0.7567 | 0.3891 |
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+ | No log | 2.625 | 42 | 0.5607 | 0.7796 | 0.5607 |
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+ | No log | 2.75 | 44 | 0.6672 | 0.7717 | 0.6672 |
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+ | No log | 2.875 | 46 | 0.4754 | 0.7796 | 0.4754 |
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+ | No log | 3.0 | 48 | 0.4533 | 0.6964 | 0.4533 |
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+ | No log | 3.125 | 50 | 0.4390 | 0.7211 | 0.4390 |
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+ | No log | 3.25 | 52 | 0.4645 | 0.7813 | 0.4645 |
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+ | No log | 3.375 | 54 | 0.5369 | 0.7841 | 0.5369 |
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+ | No log | 3.5 | 56 | 0.4539 | 0.7751 | 0.4539 |
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+ | No log | 3.625 | 58 | 0.3966 | 0.7289 | 0.3966 |
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+ | No log | 3.75 | 60 | 0.3996 | 0.7120 | 0.3996 |
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+ | No log | 3.875 | 62 | 0.4091 | 0.7331 | 0.4091 |
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+ | No log | 4.0 | 64 | 0.4476 | 0.7566 | 0.4476 |
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+ | No log | 4.125 | 66 | 0.5300 | 0.7780 | 0.5300 |
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+ | No log | 4.25 | 68 | 0.5160 | 0.7858 | 0.5160 |
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+ | No log | 4.375 | 70 | 0.4266 | 0.7744 | 0.4266 |
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+ | No log | 4.5 | 72 | 0.3914 | 0.7537 | 0.3914 |
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+ | No log | 4.625 | 74 | 0.4220 | 0.7523 | 0.4220 |
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+ | No log | 4.75 | 76 | 0.4624 | 0.7629 | 0.4624 |
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+ | No log | 4.875 | 78 | 0.4224 | 0.7701 | 0.4224 |
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+ | No log | 5.0 | 80 | 0.3791 | 0.7493 | 0.3791 |
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+ | No log | 5.125 | 82 | 0.3895 | 0.7222 | 0.3895 |
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+ | No log | 5.25 | 84 | 0.3859 | 0.7449 | 0.3859 |
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+ | No log | 5.375 | 86 | 0.4706 | 0.7869 | 0.4706 |
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+ | No log | 5.5 | 88 | 0.5223 | 0.7814 | 0.5223 |
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+ | No log | 5.625 | 90 | 0.4664 | 0.7791 | 0.4664 |
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+ | No log | 5.75 | 92 | 0.4027 | 0.7311 | 0.4027 |
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+ | No log | 5.875 | 94 | 0.4225 | 0.6937 | 0.4225 |
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+ | No log | 6.0 | 96 | 0.4142 | 0.6982 | 0.4142 |
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+ | No log | 6.125 | 98 | 0.4140 | 0.7389 | 0.4140 |
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+ | No log | 6.25 | 100 | 0.4989 | 0.7642 | 0.4989 |
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+ | No log | 6.375 | 102 | 0.6033 | 0.7735 | 0.6033 |
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+ | No log | 6.5 | 104 | 0.5857 | 0.7770 | 0.5857 |
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+ | No log | 6.625 | 106 | 0.4835 | 0.7720 | 0.4835 |
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+ | No log | 6.75 | 108 | 0.4292 | 0.7392 | 0.4292 |
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+ | No log | 6.875 | 110 | 0.4236 | 0.7113 | 0.4236 |
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+ | No log | 7.0 | 112 | 0.4315 | 0.7304 | 0.4315 |
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+ | No log | 7.125 | 114 | 0.4781 | 0.7663 | 0.4781 |
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+ | No log | 7.25 | 116 | 0.5131 | 0.7782 | 0.5131 |
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+ | No log | 7.375 | 118 | 0.4884 | 0.7743 | 0.4884 |
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+ | No log | 7.5 | 120 | 0.4351 | 0.7513 | 0.4351 |
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+ | No log | 7.625 | 122 | 0.4135 | 0.7412 | 0.4135 |
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+ | No log | 7.75 | 124 | 0.4144 | 0.7379 | 0.4144 |
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+ | No log | 7.875 | 126 | 0.4260 | 0.7560 | 0.4260 |
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+ | No log | 8.0 | 128 | 0.4698 | 0.7681 | 0.4698 |
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+ | No log | 8.125 | 130 | 0.5081 | 0.8027 | 0.5081 |
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+ | No log | 8.25 | 132 | 0.5012 | 0.8033 | 0.5012 |
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+ | No log | 8.375 | 134 | 0.4563 | 0.7630 | 0.4563 |
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+ | No log | 8.5 | 136 | 0.4233 | 0.7367 | 0.4233 |
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+ | No log | 8.625 | 138 | 0.4146 | 0.7168 | 0.4146 |
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+ | No log | 8.75 | 140 | 0.4102 | 0.7219 | 0.4102 |
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+ | No log | 8.875 | 142 | 0.4038 | 0.7250 | 0.4038 |
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+ | No log | 9.0 | 144 | 0.4045 | 0.7339 | 0.4045 |
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+ | No log | 9.125 | 146 | 0.4174 | 0.7425 | 0.4174 |
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+ | No log | 9.25 | 148 | 0.4352 | 0.7626 | 0.4352 |
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+ | No log | 9.375 | 150 | 0.4412 | 0.7624 | 0.4412 |
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+ | No log | 9.5 | 152 | 0.4385 | 0.7588 | 0.4385 |
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+ | No log | 9.625 | 154 | 0.4340 | 0.7458 | 0.4340 |
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+ | No log | 9.75 | 156 | 0.4311 | 0.7401 | 0.4311 |
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+ | No log | 9.875 | 158 | 0.4286 | 0.7401 | 0.4286 |
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+ | No log | 10.0 | 160 | 0.4286 | 0.7401 | 0.4286 |
 
 
 
 
 
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  ### Framework versions