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arabert_cross_relevance_task4_fold3

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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_relevance_task4_fold2
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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_relevance_task4_fold2
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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: 0.4752
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- - Qwk: 0.1093
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- - Mse: 0.4759
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  ## Model description
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@@ -45,98 +45,93 @@ 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 | 0.1111 | 2 | 0.5785 | 0.0868 | 0.5777 |
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- | No log | 0.2222 | 4 | 0.2943 | -0.0164 | 0.2947 |
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- | No log | 0.3333 | 6 | 0.3987 | 0.0024 | 0.3993 |
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- | No log | 0.4444 | 8 | 0.3899 | 0.0752 | 0.3904 |
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- | No log | 0.5556 | 10 | 0.3473 | -0.0042 | 0.3477 |
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- | No log | 0.6667 | 12 | 0.4204 | 0.0370 | 0.4209 |
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- | No log | 0.7778 | 14 | 0.5631 | -0.0284 | 0.5638 |
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- | No log | 0.8889 | 16 | 0.5554 | -0.0028 | 0.5561 |
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- | No log | 1.0 | 18 | 0.5578 | 0.0426 | 0.5584 |
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- | No log | 1.1111 | 20 | 0.4455 | 0.0325 | 0.4461 |
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- | No log | 1.2222 | 22 | 0.3963 | 0.0368 | 0.3969 |
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- | No log | 1.3333 | 24 | 0.3919 | 0.0243 | 0.3924 |
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- | No log | 1.4444 | 26 | 0.4089 | 0.0665 | 0.4094 |
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- | No log | 1.5556 | 28 | 0.3918 | 0.0619 | 0.3923 |
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- | No log | 1.6667 | 30 | 0.4355 | -0.0079 | 0.4360 |
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- | No log | 1.7778 | 32 | 0.4965 | 0.1166 | 0.4971 |
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- | No log | 1.8889 | 34 | 0.5320 | -0.0186 | 0.5326 |
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- | No log | 2.0 | 36 | 0.5879 | 0.0536 | 0.5885 |
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- | No log | 2.1111 | 38 | 0.5920 | 0.1117 | 0.5926 |
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- | No log | 2.2222 | 40 | 0.5586 | 0.1740 | 0.5592 |
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- | No log | 2.3333 | 42 | 0.4887 | 0.0570 | 0.4892 |
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- | No log | 2.4444 | 44 | 0.4523 | 0.0512 | 0.4527 |
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- | No log | 2.5556 | 46 | 0.4295 | 0.0633 | 0.4299 |
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- | No log | 2.6667 | 48 | 0.4439 | 0.0643 | 0.4444 |
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- | No log | 2.7778 | 50 | 0.4579 | -0.0142 | 0.4585 |
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- | No log | 2.8889 | 52 | 0.4404 | 0.0594 | 0.4409 |
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- | No log | 3.0 | 54 | 0.4585 | 0.0325 | 0.4590 |
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- | No log | 3.1111 | 56 | 0.5216 | 0.1088 | 0.5222 |
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- | No log | 3.2222 | 58 | 0.5552 | 0.0747 | 0.5559 |
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- | No log | 3.3333 | 60 | 0.5458 | 0.1373 | 0.5465 |
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- | No log | 3.4444 | 62 | 0.4947 | 0.1774 | 0.4953 |
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- | No log | 3.5556 | 64 | 0.4605 | 0.0419 | 0.4611 |
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- | No log | 3.6667 | 66 | 0.4341 | -0.0514 | 0.4346 |
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- | No log | 3.7778 | 68 | 0.4227 | -0.0500 | 0.4232 |
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- | No log | 3.8889 | 70 | 0.4149 | -0.0016 | 0.4154 |
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- | No log | 4.0 | 72 | 0.4133 | 0.0112 | 0.4138 |
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- | No log | 4.1111 | 74 | 0.4299 | 0.0681 | 0.4304 |
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- | No log | 4.2222 | 76 | 0.4431 | 0.0874 | 0.4437 |
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- | No log | 4.3333 | 78 | 0.4609 | 0.1618 | 0.4615 |
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- | No log | 4.4444 | 80 | 0.4845 | 0.1449 | 0.4851 |
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- | No log | 4.5556 | 82 | 0.5171 | 0.1801 | 0.5178 |
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- | No log | 4.6667 | 84 | 0.5429 | 0.0638 | 0.5436 |
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- | No log | 4.7778 | 86 | 0.5295 | 0.1054 | 0.5302 |
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- | No log | 4.8889 | 88 | 0.4873 | 0.1361 | 0.4880 |
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- | No log | 5.0 | 90 | 0.4385 | 0.0551 | 0.4391 |
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- | No log | 5.1111 | 92 | 0.4189 | 0.0586 | 0.4195 |
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- | No log | 5.2222 | 94 | 0.4360 | 0.0730 | 0.4366 |
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- | No log | 5.3333 | 96 | 0.4771 | 0.0422 | 0.4778 |
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- | No log | 5.4444 | 98 | 0.4940 | 0.0473 | 0.4947 |
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- | No log | 5.5556 | 100 | 0.5040 | 0.0525 | 0.5047 |
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- | No log | 5.6667 | 102 | 0.4813 | 0.0030 | 0.4819 |
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- | No log | 5.7778 | 104 | 0.4381 | 0.0917 | 0.4387 |
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- | No log | 5.8889 | 106 | 0.3938 | -0.0553 | 0.3943 |
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- | No log | 6.0 | 108 | 0.3964 | -0.0475 | 0.3969 |
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- | No log | 6.1111 | 110 | 0.4237 | 0.0059 | 0.4242 |
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- | No log | 6.2222 | 112 | 0.4695 | 0.1283 | 0.4701 |
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- | No log | 6.3333 | 114 | 0.4933 | 0.0923 | 0.4940 |
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- | No log | 6.4444 | 116 | 0.5089 | 0.0578 | 0.5096 |
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- | No log | 6.5556 | 118 | 0.5097 | 0.0886 | 0.5105 |
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- | No log | 6.6667 | 120 | 0.4867 | 0.0724 | 0.4874 |
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- | No log | 6.7778 | 122 | 0.4496 | 0.0831 | 0.4502 |
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- | No log | 6.8889 | 124 | 0.4192 | 0.0197 | 0.4198 |
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- | No log | 7.0 | 126 | 0.4075 | 0.0496 | 0.4081 |
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- | No log | 7.1111 | 128 | 0.4043 | 0.0369 | 0.4049 |
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- | No log | 7.2222 | 130 | 0.4164 | 0.0326 | 0.4170 |
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- | No log | 7.3333 | 132 | 0.4361 | 0.0815 | 0.4367 |
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- | No log | 7.4444 | 134 | 0.4517 | 0.1068 | 0.4524 |
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- | No log | 7.5556 | 136 | 0.4513 | 0.1209 | 0.4519 |
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- | No log | 7.6667 | 138 | 0.4452 | 0.1056 | 0.4458 |
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- | No log | 7.7778 | 140 | 0.4514 | 0.0743 | 0.4520 |
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- | No log | 7.8889 | 142 | 0.4671 | 0.1472 | 0.4677 |
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- | No log | 8.0 | 144 | 0.4902 | 0.0969 | 0.4909 |
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- | No log | 8.1111 | 146 | 0.5000 | -0.0230 | 0.5007 |
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- | No log | 8.2222 | 148 | 0.4999 | -0.0028 | 0.5006 |
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- | No log | 8.3333 | 150 | 0.4924 | 0.0374 | 0.4931 |
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- | No log | 8.4444 | 152 | 0.4849 | 0.0857 | 0.4855 |
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- | No log | 8.5556 | 154 | 0.4790 | 0.0857 | 0.4796 |
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- | No log | 8.6667 | 156 | 0.4774 | 0.0857 | 0.4780 |
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- | No log | 8.7778 | 158 | 0.4814 | 0.1004 | 0.4820 |
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- | No log | 8.8889 | 160 | 0.4916 | 0.0866 | 0.4923 |
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- | No log | 9.0 | 162 | 0.4998 | 0.0525 | 0.5005 |
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- | No log | 9.1111 | 164 | 0.5009 | 0.0676 | 0.5016 |
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- | No log | 9.2222 | 166 | 0.4971 | 0.0676 | 0.4978 |
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- | No log | 9.3333 | 168 | 0.4903 | 0.1166 | 0.4910 |
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- | No log | 9.4444 | 170 | 0.4831 | 0.1641 | 0.4838 |
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- | No log | 9.5556 | 172 | 0.4811 | 0.1832 | 0.4818 |
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- | No log | 9.6667 | 174 | 0.4780 | 0.1534 | 0.4786 |
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- | No log | 9.7778 | 176 | 0.4767 | 0.1239 | 0.4774 |
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- | No log | 9.8889 | 178 | 0.4754 | 0.1093 | 0.4760 |
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- | No log | 10.0 | 180 | 0.4752 | 0.1093 | 0.4759 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task4_fold3
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  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_relevance_task4_fold3
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: 0.3037
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+ - Qwk: 0.3732
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+ - Mse: 0.3037
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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 | 0.1176 | 2 | 0.5630 | 0.1562 | 0.5630 |
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+ | No log | 0.2353 | 4 | 0.4644 | 0.2174 | 0.4644 |
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+ | No log | 0.3529 | 6 | 0.3950 | 0.1962 | 0.3950 |
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+ | No log | 0.4706 | 8 | 0.3834 | 0.2684 | 0.3834 |
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+ | No log | 0.5882 | 10 | 0.3306 | 0.3081 | 0.3306 |
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+ | No log | 0.7059 | 12 | 0.3268 | 0.2811 | 0.3268 |
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+ | No log | 0.8235 | 14 | 0.3154 | 0.3011 | 0.3154 |
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+ | No log | 0.9412 | 16 | 0.3060 | 0.3218 | 0.3060 |
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+ | No log | 1.0588 | 18 | 0.3117 | 0.3651 | 0.3117 |
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+ | No log | 1.1765 | 20 | 0.3057 | 0.3773 | 0.3057 |
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+ | No log | 1.2941 | 22 | 0.3034 | 0.3911 | 0.3034 |
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+ | No log | 1.4118 | 24 | 0.2791 | 0.4002 | 0.2791 |
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+ | No log | 1.5294 | 26 | 0.2627 | 0.4023 | 0.2627 |
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+ | No log | 1.6471 | 28 | 0.2813 | 0.3853 | 0.2813 |
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+ | No log | 1.7647 | 30 | 0.3082 | 0.3740 | 0.3082 |
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+ | No log | 1.8824 | 32 | 0.2928 | 0.3614 | 0.2928 |
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+ | No log | 2.0 | 34 | 0.2792 | 0.3430 | 0.2792 |
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+ | No log | 2.1176 | 36 | 0.2640 | 0.3836 | 0.2640 |
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+ | No log | 2.2353 | 38 | 0.2797 | 0.4090 | 0.2797 |
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+ | No log | 2.3529 | 40 | 0.3047 | 0.3991 | 0.3047 |
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+ | No log | 2.4706 | 42 | 0.3233 | 0.3483 | 0.3233 |
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+ | No log | 2.5882 | 44 | 0.3173 | 0.3975 | 0.3173 |
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+ | No log | 2.7059 | 46 | 0.2794 | 0.3702 | 0.2794 |
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+ | No log | 2.8235 | 48 | 0.2545 | 0.3595 | 0.2545 |
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+ | No log | 2.9412 | 50 | 0.2598 | 0.3274 | 0.2598 |
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+ | No log | 3.0588 | 52 | 0.3170 | 0.2780 | 0.3170 |
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+ | No log | 3.1765 | 54 | 0.3616 | 0.2701 | 0.3616 |
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+ | No log | 3.2941 | 56 | 0.3399 | 0.3799 | 0.3399 |
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+ | No log | 3.4118 | 58 | 0.2912 | 0.4991 | 0.2912 |
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+ | No log | 3.5294 | 60 | 0.2788 | 0.5808 | 0.2788 |
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+ | No log | 3.6471 | 62 | 0.2781 | 0.5944 | 0.2781 |
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+ | No log | 3.7647 | 64 | 0.2655 | 0.5547 | 0.2655 |
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+ | No log | 3.8824 | 66 | 0.2739 | 0.4479 | 0.2739 |
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+ | No log | 4.0 | 68 | 0.3052 | 0.3580 | 0.3052 |
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+ | No log | 4.1176 | 70 | 0.3257 | 0.2703 | 0.3257 |
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+ | No log | 4.2353 | 72 | 0.3077 | 0.2765 | 0.3077 |
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+ | No log | 4.3529 | 74 | 0.2673 | 0.3446 | 0.2673 |
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+ | No log | 4.4706 | 76 | 0.2558 | 0.4205 | 0.2558 |
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+ | No log | 4.5882 | 78 | 0.2699 | 0.4751 | 0.2699 |
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+ | No log | 4.7059 | 80 | 0.3058 | 0.5205 | 0.3058 |
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+ | No log | 4.8235 | 82 | 0.3248 | 0.5030 | 0.3248 |
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+ | No log | 4.9412 | 84 | 0.3083 | 0.4300 | 0.3083 |
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+ | No log | 5.0588 | 86 | 0.2844 | 0.3512 | 0.2844 |
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+ | No log | 5.1765 | 88 | 0.2595 | 0.3405 | 0.2595 |
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+ | No log | 5.2941 | 90 | 0.2544 | 0.3462 | 0.2544 |
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+ | No log | 5.4118 | 92 | 0.2686 | 0.3378 | 0.2686 |
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+ | No log | 5.5294 | 94 | 0.3037 | 0.3446 | 0.3037 |
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+ | No log | 5.6471 | 96 | 0.3453 | 0.3453 | 0.3453 |
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+ | No log | 5.7647 | 98 | 0.3438 | 0.3956 | 0.3438 |
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+ | No log | 5.8824 | 100 | 0.3084 | 0.4184 | 0.3084 |
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+ | No log | 6.0 | 102 | 0.2757 | 0.4015 | 0.2757 |
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+ | No log | 6.1176 | 104 | 0.2744 | 0.3963 | 0.2744 |
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+ | No log | 6.2353 | 106 | 0.2900 | 0.4343 | 0.2900 |
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+ | No log | 6.3529 | 108 | 0.3167 | 0.4357 | 0.3167 |
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+ | No log | 6.4706 | 110 | 0.3249 | 0.4225 | 0.3249 |
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+ | No log | 6.5882 | 112 | 0.3104 | 0.3929 | 0.3104 |
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+ | No log | 6.7059 | 114 | 0.2965 | 0.3961 | 0.2965 |
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+ | No log | 6.8235 | 116 | 0.2870 | 0.3956 | 0.2870 |
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+ | No log | 6.9412 | 118 | 0.2835 | 0.4017 | 0.2835 |
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+ | No log | 7.0588 | 120 | 0.2798 | 0.4117 | 0.2798 |
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+ | No log | 7.1765 | 122 | 0.2952 | 0.3838 | 0.2952 |
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+ | No log | 7.2941 | 124 | 0.3094 | 0.3838 | 0.3094 |
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+ | No log | 7.4118 | 126 | 0.3254 | 0.4226 | 0.3254 |
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+ | No log | 7.5294 | 128 | 0.3223 | 0.4122 | 0.3223 |
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+ | No log | 7.6471 | 130 | 0.3091 | 0.3910 | 0.3091 |
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+ | No log | 7.7647 | 132 | 0.3042 | 0.3896 | 0.3042 |
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+ | No log | 7.8824 | 134 | 0.2977 | 0.3822 | 0.2977 |
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+ | No log | 8.0 | 136 | 0.2987 | 0.3536 | 0.2987 |
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+ | No log | 8.1176 | 138 | 0.3110 | 0.3437 | 0.3110 |
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+ | No log | 8.2353 | 140 | 0.3121 | 0.3392 | 0.3121 |
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+ | No log | 8.3529 | 142 | 0.3056 | 0.3402 | 0.3056 |
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+ | No log | 8.4706 | 144 | 0.3047 | 0.3462 | 0.3047 |
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+ | No log | 8.5882 | 146 | 0.3035 | 0.3572 | 0.3035 |
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+ | No log | 8.7059 | 148 | 0.3024 | 0.3690 | 0.3024 |
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+ | No log | 8.8235 | 150 | 0.3034 | 0.3717 | 0.3034 |
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+ | No log | 8.9412 | 152 | 0.3012 | 0.3774 | 0.3012 |
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+ | No log | 9.0588 | 154 | 0.2988 | 0.3774 | 0.2988 |
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+ | No log | 9.1765 | 156 | 0.3009 | 0.3774 | 0.3009 |
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+ | No log | 9.2941 | 158 | 0.3001 | 0.3889 | 0.3001 |
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+ | No log | 9.4118 | 160 | 0.3015 | 0.3946 | 0.3015 |
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+ | No log | 9.5294 | 162 | 0.3032 | 0.3946 | 0.3032 |
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+ | No log | 9.6471 | 164 | 0.3050 | 0.3846 | 0.3050 |
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+ | No log | 9.7647 | 166 | 0.3044 | 0.3732 | 0.3044 |
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+ | No log | 9.8824 | 168 | 0.3039 | 0.3732 | 0.3039 |
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+ | No log | 10.0 | 170 | 0.3037 | 0.3732 | 0.3037 |
 
 
 
 
 
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  ### Framework versions