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arabert_cross_organization_task6_fold2

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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_task6_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_cross_organization_task6_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: 0.8118
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- - Qwk: 0.4006
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- - Mse: 0.8118
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  ## Model description
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@@ -45,88 +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 | 0.125 | 2 | 3.3727 | 0.0150 | 3.3727 |
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- | No log | 0.25 | 4 | 1.5579 | 0.0418 | 1.5579 |
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- | No log | 0.375 | 6 | 0.8889 | 0.1524 | 0.8889 |
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- | No log | 0.5 | 8 | 0.7988 | 0.2568 | 0.7988 |
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- | No log | 0.625 | 10 | 0.9045 | 0.2445 | 0.9045 |
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- | No log | 0.75 | 12 | 1.3396 | 0.2180 | 1.3396 |
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- | No log | 0.875 | 14 | 0.8588 | 0.3519 | 0.8588 |
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- | No log | 1.0 | 16 | 0.5574 | 0.5527 | 0.5574 |
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- | No log | 1.125 | 18 | 0.5553 | 0.5503 | 0.5553 |
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- | No log | 1.25 | 20 | 0.8079 | 0.3672 | 0.8079 |
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- | No log | 1.375 | 22 | 1.3052 | 0.2456 | 1.3052 |
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- | No log | 1.5 | 24 | 0.9198 | 0.3104 | 0.9198 |
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- | No log | 1.625 | 26 | 0.5541 | 0.5285 | 0.5541 |
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- | No log | 1.75 | 28 | 0.5512 | 0.5290 | 0.5512 |
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- | No log | 1.875 | 30 | 0.6121 | 0.4768 | 0.6121 |
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- | No log | 2.0 | 32 | 0.8609 | 0.3129 | 0.8609 |
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- | No log | 2.125 | 34 | 0.9886 | 0.2731 | 0.9886 |
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- | No log | 2.25 | 36 | 0.8076 | 0.3795 | 0.8076 |
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- | No log | 2.375 | 38 | 0.6513 | 0.4757 | 0.6513 |
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- | No log | 2.5 | 40 | 0.6322 | 0.4656 | 0.6322 |
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- | No log | 2.625 | 42 | 0.8239 | 0.3721 | 0.8239 |
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- | No log | 2.75 | 44 | 0.8173 | 0.3657 | 0.8173 |
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- | No log | 2.875 | 46 | 0.5953 | 0.4602 | 0.5953 |
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- | No log | 3.0 | 48 | 0.4998 | 0.5491 | 0.4998 |
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- | No log | 3.125 | 50 | 0.4994 | 0.5388 | 0.4994 |
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- | No log | 3.25 | 52 | 0.5985 | 0.4558 | 0.5985 |
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- | No log | 3.375 | 54 | 0.8360 | 0.3362 | 0.8360 |
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- | No log | 3.5 | 56 | 0.7638 | 0.3694 | 0.7638 |
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- | No log | 3.625 | 58 | 0.5758 | 0.4882 | 0.5758 |
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- | No log | 3.75 | 60 | 0.5627 | 0.5091 | 0.5627 |
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- | No log | 3.875 | 62 | 0.6464 | 0.4616 | 0.6464 |
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- | No log | 4.0 | 64 | 0.7995 | 0.3939 | 0.7995 |
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- | No log | 4.125 | 66 | 0.8090 | 0.4038 | 0.8090 |
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- | No log | 4.25 | 68 | 0.7637 | 0.4270 | 0.7637 |
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- | No log | 4.375 | 70 | 0.6773 | 0.4614 | 0.6773 |
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- | No log | 4.5 | 72 | 0.6071 | 0.4596 | 0.6071 |
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- | No log | 4.625 | 74 | 0.6404 | 0.4305 | 0.6404 |
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- | No log | 4.75 | 76 | 0.7606 | 0.3850 | 0.7606 |
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- | No log | 4.875 | 78 | 0.7167 | 0.4134 | 0.7167 |
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- | No log | 5.0 | 80 | 0.6509 | 0.4134 | 0.6509 |
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- | No log | 5.125 | 82 | 0.6798 | 0.4551 | 0.6798 |
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- | No log | 5.25 | 84 | 0.7948 | 0.3986 | 0.7948 |
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- | No log | 5.375 | 86 | 0.8620 | 0.3562 | 0.8620 |
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- | No log | 5.5 | 88 | 0.8876 | 0.3559 | 0.8876 |
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- | No log | 5.625 | 90 | 0.7515 | 0.4248 | 0.7515 |
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- | No log | 5.75 | 92 | 0.7108 | 0.4577 | 0.7108 |
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- | No log | 5.875 | 94 | 0.7862 | 0.4061 | 0.7862 |
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- | No log | 6.0 | 96 | 0.8416 | 0.3952 | 0.8416 |
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- | No log | 6.125 | 98 | 0.7997 | 0.4122 | 0.7997 |
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- | No log | 6.25 | 100 | 0.8258 | 0.3932 | 0.8258 |
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- | No log | 6.375 | 102 | 0.7838 | 0.4124 | 0.7838 |
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- | No log | 6.5 | 104 | 0.7944 | 0.4076 | 0.7944 |
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- | No log | 6.625 | 106 | 0.8231 | 0.3830 | 0.8231 |
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- | No log | 6.75 | 108 | 0.7694 | 0.4134 | 0.7694 |
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- | No log | 6.875 | 110 | 0.7985 | 0.3792 | 0.7985 |
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- | No log | 7.0 | 112 | 0.8356 | 0.3632 | 0.8356 |
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- | No log | 7.125 | 114 | 0.8848 | 0.3450 | 0.8848 |
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- | No log | 7.25 | 116 | 0.8497 | 0.3620 | 0.8497 |
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- | No log | 7.375 | 118 | 0.7434 | 0.4183 | 0.7434 |
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- | No log | 7.5 | 120 | 0.7023 | 0.4781 | 0.7023 |
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- | No log | 7.625 | 122 | 0.7498 | 0.4429 | 0.7498 |
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- | No log | 7.75 | 124 | 0.9144 | 0.3785 | 0.9144 |
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- | No log | 7.875 | 126 | 1.0497 | 0.3405 | 1.0497 |
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- | No log | 8.0 | 128 | 1.0554 | 0.3506 | 1.0554 |
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- | No log | 8.125 | 130 | 0.9425 | 0.3693 | 0.9425 |
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- | No log | 8.25 | 132 | 0.8329 | 0.4324 | 0.8329 |
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- | No log | 8.375 | 134 | 0.7552 | 0.4623 | 0.7552 |
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- | No log | 8.5 | 136 | 0.7557 | 0.4559 | 0.7557 |
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- | No log | 8.625 | 138 | 0.7684 | 0.4526 | 0.7684 |
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- | No log | 8.75 | 140 | 0.8092 | 0.4060 | 0.8092 |
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- | No log | 8.875 | 142 | 0.8508 | 0.3842 | 0.8508 |
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- | No log | 9.0 | 144 | 0.8605 | 0.3817 | 0.8605 |
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- | No log | 9.125 | 146 | 0.8641 | 0.3822 | 0.8641 |
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- | No log | 9.25 | 148 | 0.8326 | 0.3939 | 0.8326 |
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- | No log | 9.375 | 150 | 0.8206 | 0.3946 | 0.8206 |
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- | No log | 9.5 | 152 | 0.7988 | 0.4013 | 0.7988 |
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- | No log | 9.625 | 154 | 0.7932 | 0.4040 | 0.7932 |
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- | No log | 9.75 | 156 | 0.7973 | 0.4040 | 0.7973 |
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- | No log | 9.875 | 158 | 0.8061 | 0.4006 | 0.8061 |
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- | No log | 10.0 | 160 | 0.8118 | 0.4006 | 0.8118 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task6_fold2
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_task6_fold2
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: 1.0752
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+ - Qwk: 0.1211
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+ - Mse: 1.0727
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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 | 3.7816 | 0.0007 | 3.7767 |
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+ | No log | 0.2353 | 4 | 1.3542 | 0.0008 | 1.3493 |
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+ | No log | 0.3529 | 6 | 0.8381 | 0.0381 | 0.8355 |
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+ | No log | 0.4706 | 8 | 0.8831 | -0.0815 | 0.8796 |
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+ | No log | 0.5882 | 10 | 0.8969 | 0.0429 | 0.8931 |
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+ | No log | 0.7059 | 12 | 0.8250 | 0.0520 | 0.8218 |
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+ | No log | 0.8235 | 14 | 1.0019 | 0.0182 | 0.9999 |
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+ | No log | 0.9412 | 16 | 1.1717 | -0.0025 | 1.1701 |
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+ | No log | 1.0588 | 18 | 1.2136 | -0.0025 | 1.2120 |
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+ | No log | 1.1765 | 20 | 1.1606 | 0.0 | 1.1587 |
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+ | No log | 1.2941 | 22 | 1.2446 | 0.0 | 1.2426 |
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+ | No log | 1.4118 | 24 | 1.3967 | 0.0 | 1.3948 |
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+ | No log | 1.5294 | 26 | 1.4847 | 0.0253 | 1.4827 |
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+ | No log | 1.6471 | 28 | 1.3244 | 0.0231 | 1.3221 |
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+ | No log | 1.7647 | 30 | 1.0785 | 0.0360 | 1.0760 |
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+ | No log | 1.8824 | 32 | 0.8498 | 0.1972 | 0.8470 |
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+ | No log | 2.0 | 34 | 0.9134 | 0.1247 | 0.9107 |
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+ | No log | 2.1176 | 36 | 1.1156 | 0.0182 | 1.1130 |
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+ | No log | 2.2353 | 38 | 1.0973 | 0.0 | 1.0948 |
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+ | No log | 2.3529 | 40 | 1.0822 | 0.0182 | 1.0794 |
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+ | No log | 2.4706 | 42 | 1.0078 | 0.0789 | 1.0047 |
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+ | No log | 2.5882 | 44 | 1.1175 | 0.0880 | 1.1144 |
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+ | No log | 2.7059 | 46 | 1.3284 | 0.0465 | 1.3253 |
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+ | No log | 2.8235 | 48 | 1.6008 | 0.0931 | 1.5976 |
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+ | No log | 2.9412 | 50 | 2.1079 | 0.0276 | 2.1049 |
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+ | No log | 3.0588 | 52 | 2.2734 | 0.0412 | 2.2705 |
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+ | No log | 3.1765 | 54 | 1.8347 | 0.1369 | 1.8320 |
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+ | No log | 3.2941 | 56 | 1.3122 | 0.0884 | 1.3096 |
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+ | No log | 3.4118 | 58 | 1.2595 | 0.0664 | 1.2569 |
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+ | No log | 3.5294 | 60 | 1.4282 | 0.1006 | 1.4256 |
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+ | No log | 3.6471 | 62 | 1.5462 | 0.1413 | 1.5436 |
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+ | No log | 3.7647 | 64 | 1.3829 | 0.0593 | 1.3803 |
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+ | No log | 3.8824 | 66 | 0.9939 | 0.1230 | 0.9914 |
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+ | No log | 4.0 | 68 | 0.8054 | 0.1788 | 0.8030 |
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+ | No log | 4.1176 | 70 | 0.7868 | 0.1816 | 0.7845 |
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+ | No log | 4.2353 | 72 | 0.9015 | 0.1607 | 0.8991 |
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+ | No log | 4.3529 | 74 | 1.2405 | 0.0483 | 1.2379 |
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+ | No log | 4.4706 | 76 | 1.4275 | 0.0040 | 1.4247 |
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+ | No log | 4.5882 | 78 | 1.3885 | 0.0201 | 1.3856 |
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+ | No log | 4.7059 | 80 | 1.2664 | 0.0431 | 1.2634 |
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+ | No log | 4.8235 | 82 | 1.0916 | 0.0750 | 1.0885 |
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+ | No log | 4.9412 | 84 | 1.0885 | 0.0159 | 1.0854 |
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+ | No log | 5.0588 | 86 | 1.1736 | 0.0869 | 1.1705 |
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+ | No log | 5.1765 | 88 | 1.3914 | 0.1105 | 1.3885 |
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+ | No log | 5.2941 | 90 | 1.5037 | 0.0839 | 1.5010 |
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+ | No log | 5.4118 | 92 | 1.4052 | 0.0391 | 1.4026 |
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+ | No log | 5.5294 | 94 | 1.2441 | 0.0662 | 1.2417 |
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+ | No log | 5.6471 | 96 | 1.1952 | 0.0646 | 1.1929 |
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+ | No log | 5.7647 | 98 | 1.1442 | 0.0814 | 1.1419 |
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+ | No log | 5.8824 | 100 | 1.1950 | 0.0855 | 1.1926 |
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+ | No log | 6.0 | 102 | 1.3191 | 0.0880 | 1.3167 |
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+ | No log | 6.1176 | 104 | 1.4094 | 0.0999 | 1.4070 |
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+ | No log | 6.2353 | 106 | 1.2755 | 0.1507 | 1.2730 |
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+ | No log | 6.3529 | 108 | 1.0797 | 0.1262 | 1.0770 |
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+ | No log | 6.4706 | 110 | 0.9830 | 0.1381 | 0.9804 |
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+ | No log | 6.5882 | 112 | 0.9647 | 0.1405 | 0.9620 |
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+ | No log | 6.7059 | 114 | 1.0370 | 0.1146 | 1.0345 |
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+ | No log | 6.8235 | 116 | 1.1227 | 0.0885 | 1.1203 |
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+ | No log | 6.9412 | 118 | 1.2057 | 0.1026 | 1.2033 |
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+ | No log | 7.0588 | 120 | 1.2261 | 0.0518 | 1.2238 |
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+ | No log | 7.1765 | 122 | 1.2047 | 0.0652 | 1.2023 |
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+ | No log | 7.2941 | 124 | 1.0652 | 0.1195 | 1.0628 |
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+ | No log | 7.4118 | 126 | 0.9603 | 0.1804 | 0.9578 |
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+ | No log | 7.5294 | 128 | 0.9421 | 0.1812 | 0.9395 |
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+ | No log | 7.6471 | 130 | 1.0068 | 0.1111 | 1.0041 |
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+ | No log | 7.7647 | 132 | 1.1676 | 0.1367 | 1.1650 |
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+ | No log | 7.8824 | 134 | 1.3081 | 0.1382 | 1.3055 |
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+ | No log | 8.0 | 136 | 1.3954 | 0.1123 | 1.3929 |
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+ | No log | 8.1176 | 138 | 1.3854 | 0.1123 | 1.3829 |
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+ | No log | 8.2353 | 140 | 1.2987 | 0.1203 | 1.2962 |
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+ | No log | 8.3529 | 142 | 1.1429 | 0.1190 | 1.1405 |
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+ | No log | 8.4706 | 144 | 1.0515 | 0.1232 | 1.0491 |
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+ | No log | 8.5882 | 146 | 1.0416 | 0.1371 | 1.0392 |
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+ | No log | 8.7059 | 148 | 1.0625 | 0.1438 | 1.0601 |
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+ | No log | 8.8235 | 150 | 1.0904 | 0.1152 | 1.0880 |
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+ | No log | 8.9412 | 152 | 1.1358 | 0.1190 | 1.1334 |
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+ | No log | 9.0588 | 154 | 1.1786 | 0.1043 | 1.1762 |
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+ | No log | 9.1765 | 156 | 1.1978 | 0.1043 | 1.1954 |
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+ | No log | 9.2941 | 158 | 1.1835 | 0.1043 | 1.1810 |
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+ | No log | 9.4118 | 160 | 1.1423 | 0.1190 | 1.1399 |
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+ | No log | 9.5294 | 162 | 1.1135 | 0.1336 | 1.1110 |
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+ | No log | 9.6471 | 164 | 1.1006 | 0.1132 | 1.0981 |
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+ | No log | 9.7647 | 166 | 1.0926 | 0.1277 | 1.0902 |
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+ | No log | 9.8824 | 168 | 1.0805 | 0.1211 | 1.0780 |
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+ | No log | 10.0 | 170 | 1.0752 | 0.1211 | 1.0727 |
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  ### Framework versions