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arabert_cross_organization_task2_fold6

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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_fold5
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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_fold5
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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: 0.4864
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- - Qwk: 0.6953
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- - Mse: 0.4868
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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 | 1.3091 | 0.2225 | 1.3089 |
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- | No log | 0.2667 | 4 | 0.8804 | 0.3887 | 0.8814 |
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- | No log | 0.4 | 6 | 1.3858 | 0.5574 | 1.3875 |
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- | No log | 0.5333 | 8 | 0.8835 | 0.6154 | 0.8852 |
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- | No log | 0.6667 | 10 | 0.7015 | 0.4522 | 0.7026 |
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- | No log | 0.8 | 12 | 0.6464 | 0.5054 | 0.6475 |
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- | No log | 0.9333 | 14 | 0.7433 | 0.7082 | 0.7448 |
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- | No log | 1.0667 | 16 | 0.8118 | 0.7522 | 0.8134 |
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- | No log | 1.2 | 18 | 0.6135 | 0.7499 | 0.6147 |
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- | No log | 1.3333 | 20 | 0.5249 | 0.6739 | 0.5259 |
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- | No log | 1.4667 | 22 | 0.5390 | 0.7248 | 0.5401 |
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- | No log | 1.6 | 24 | 0.6195 | 0.7729 | 0.6207 |
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- | No log | 1.7333 | 26 | 0.5748 | 0.7628 | 0.5759 |
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- | No log | 1.8667 | 28 | 0.5013 | 0.7261 | 0.5022 |
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- | No log | 2.0 | 30 | 0.5356 | 0.7773 | 0.5366 |
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- | No log | 2.1333 | 32 | 0.5953 | 0.7981 | 0.5964 |
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- | No log | 2.2667 | 34 | 0.6287 | 0.8036 | 0.6298 |
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- | No log | 2.4 | 36 | 0.5427 | 0.7642 | 0.5438 |
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- | No log | 2.5333 | 38 | 0.4766 | 0.6805 | 0.4773 |
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- | No log | 2.6667 | 40 | 0.4783 | 0.6777 | 0.4789 |
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- | No log | 2.8 | 42 | 0.5040 | 0.7282 | 0.5048 |
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- | No log | 2.9333 | 44 | 0.5170 | 0.7463 | 0.5179 |
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- | No log | 3.0667 | 46 | 0.4870 | 0.7115 | 0.4876 |
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- | No log | 3.2 | 48 | 0.5068 | 0.7429 | 0.5075 |
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- | No log | 3.3333 | 50 | 0.5038 | 0.7270 | 0.5044 |
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- | No log | 3.4667 | 52 | 0.4985 | 0.7013 | 0.4989 |
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- | No log | 3.6 | 54 | 0.4972 | 0.6846 | 0.4975 |
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- | No log | 3.7333 | 56 | 0.4943 | 0.6912 | 0.4947 |
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- | No log | 3.8667 | 58 | 0.5072 | 0.7104 | 0.5078 |
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- | No log | 4.0 | 60 | 0.5132 | 0.7203 | 0.5139 |
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- | No log | 4.1333 | 62 | 0.5679 | 0.7897 | 0.5689 |
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- | No log | 4.2667 | 64 | 0.5555 | 0.7899 | 0.5566 |
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- | No log | 4.4 | 66 | 0.4706 | 0.6934 | 0.4712 |
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- | No log | 4.5333 | 68 | 0.4707 | 0.6425 | 0.4710 |
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- | No log | 4.6667 | 70 | 0.4678 | 0.6421 | 0.4680 |
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- | No log | 4.8 | 72 | 0.4657 | 0.6697 | 0.4660 |
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- | No log | 4.9333 | 74 | 0.4644 | 0.7034 | 0.4648 |
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- | No log | 5.0667 | 76 | 0.4691 | 0.7052 | 0.4695 |
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- | No log | 5.2 | 78 | 0.4782 | 0.7024 | 0.4787 |
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- | No log | 5.3333 | 80 | 0.4778 | 0.6948 | 0.4782 |
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- | No log | 5.4667 | 82 | 0.4788 | 0.6806 | 0.4792 |
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- | No log | 5.6 | 84 | 0.4857 | 0.7050 | 0.4862 |
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- | No log | 5.7333 | 86 | 0.4827 | 0.7024 | 0.4832 |
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- | No log | 5.8667 | 88 | 0.4770 | 0.6872 | 0.4774 |
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- | No log | 6.0 | 90 | 0.4795 | 0.6277 | 0.4798 |
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- | No log | 6.1333 | 92 | 0.4708 | 0.6656 | 0.4712 |
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- | No log | 6.2667 | 94 | 0.4697 | 0.7074 | 0.4702 |
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- | No log | 6.4 | 96 | 0.4653 | 0.6945 | 0.4656 |
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- | No log | 6.5333 | 98 | 0.4668 | 0.6693 | 0.4671 |
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- | No log | 6.6667 | 100 | 0.4669 | 0.6885 | 0.4672 |
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- | No log | 6.8 | 102 | 0.4696 | 0.6978 | 0.4700 |
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- | No log | 6.9333 | 104 | 0.4724 | 0.6954 | 0.4727 |
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- | No log | 7.0667 | 106 | 0.4741 | 0.6619 | 0.4743 |
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- | No log | 7.2 | 108 | 0.4803 | 0.6229 | 0.4804 |
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- | No log | 7.3333 | 110 | 0.4719 | 0.6396 | 0.4721 |
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- | No log | 7.4667 | 112 | 0.4673 | 0.7015 | 0.4677 |
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- | No log | 7.6 | 114 | 0.4766 | 0.7129 | 0.4772 |
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- | No log | 7.7333 | 116 | 0.4720 | 0.7071 | 0.4725 |
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- | No log | 7.8667 | 118 | 0.4730 | 0.6457 | 0.4733 |
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- | No log | 8.0 | 120 | 0.4829 | 0.6097 | 0.4831 |
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- | No log | 8.1333 | 122 | 0.4865 | 0.6055 | 0.4866 |
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- | No log | 8.2667 | 124 | 0.4796 | 0.6640 | 0.4799 |
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- | No log | 8.4 | 126 | 0.4806 | 0.6954 | 0.4811 |
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- | No log | 8.5333 | 128 | 0.4865 | 0.7119 | 0.4870 |
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- | No log | 8.6667 | 130 | 0.4841 | 0.7139 | 0.4846 |
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- | No log | 8.8 | 132 | 0.4802 | 0.6936 | 0.4806 |
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- | No log | 8.9333 | 134 | 0.4820 | 0.6650 | 0.4823 |
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- | No log | 9.0667 | 136 | 0.4843 | 0.6546 | 0.4846 |
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- | No log | 9.2 | 138 | 0.4842 | 0.6572 | 0.4845 |
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- | No log | 9.3333 | 140 | 0.4837 | 0.6715 | 0.4840 |
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- | No log | 9.4667 | 142 | 0.4849 | 0.6959 | 0.4853 |
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- | No log | 9.6 | 144 | 0.4863 | 0.6988 | 0.4867 |
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- | No log | 9.7333 | 146 | 0.4865 | 0.6953 | 0.4869 |
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- | No log | 9.8667 | 148 | 0.4864 | 0.6953 | 0.4868 |
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- | No log | 10.0 | 150 | 0.4864 | 0.6953 | 0.4868 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task2_fold6
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_fold6
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: 0.8091
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+ - Qwk: 0.4688
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+ - Mse: 0.8081
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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 | 2.7795 | 0.0105 | 2.7827 |
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+ | No log | 0.25 | 4 | 1.5291 | 0.1173 | 1.5287 |
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+ | No log | 0.375 | 6 | 0.8451 | 0.3969 | 0.8442 |
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+ | No log | 0.5 | 8 | 0.7864 | 0.4495 | 0.7852 |
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+ | No log | 0.625 | 10 | 0.6936 | 0.4833 | 0.6924 |
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+ | No log | 0.75 | 12 | 1.1360 | 0.3318 | 1.1343 |
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+ | No log | 0.875 | 14 | 1.0124 | 0.3651 | 1.0104 |
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+ | No log | 1.0 | 16 | 0.6020 | 0.5728 | 0.6007 |
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+ | No log | 1.125 | 18 | 0.7313 | 0.4817 | 0.7294 |
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+ | No log | 1.25 | 20 | 0.6700 | 0.4955 | 0.6684 |
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+ | No log | 1.375 | 22 | 0.4911 | 0.6467 | 0.4906 |
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+ | No log | 1.5 | 24 | 0.4996 | 0.7310 | 0.4995 |
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+ | No log | 1.625 | 26 | 0.4835 | 0.5735 | 0.4828 |
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+ | No log | 1.75 | 28 | 0.6109 | 0.4913 | 0.6097 |
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+ | No log | 1.875 | 30 | 0.5349 | 0.5702 | 0.5337 |
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+ | No log | 2.0 | 32 | 0.5033 | 0.6710 | 0.5027 |
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+ | No log | 2.125 | 34 | 0.5412 | 0.6126 | 0.5400 |
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+ | No log | 2.25 | 36 | 0.7223 | 0.4624 | 0.7201 |
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+ | No log | 2.375 | 38 | 0.7359 | 0.4653 | 0.7337 |
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+ | No log | 2.5 | 40 | 0.5466 | 0.5891 | 0.5455 |
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+ | No log | 2.625 | 42 | 0.5036 | 0.7135 | 0.5034 |
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+ | No log | 2.75 | 44 | 0.4797 | 0.6820 | 0.4794 |
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+ | No log | 2.875 | 46 | 0.5194 | 0.5891 | 0.5185 |
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+ | No log | 3.0 | 48 | 0.5890 | 0.5385 | 0.5878 |
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+ | No log | 3.125 | 50 | 0.5541 | 0.5617 | 0.5529 |
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+ | No log | 3.25 | 52 | 0.5096 | 0.6247 | 0.5088 |
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+ | No log | 3.375 | 54 | 0.5168 | 0.6305 | 0.5160 |
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+ | No log | 3.5 | 56 | 0.5860 | 0.5436 | 0.5848 |
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+ | No log | 3.625 | 58 | 0.7175 | 0.4990 | 0.7160 |
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+ | No log | 3.75 | 60 | 0.6365 | 0.5253 | 0.6352 |
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+ | No log | 3.875 | 62 | 0.5233 | 0.6176 | 0.5225 |
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+ | No log | 4.0 | 64 | 0.5179 | 0.6032 | 0.5171 |
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+ | No log | 4.125 | 66 | 0.5802 | 0.5490 | 0.5792 |
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+ | No log | 4.25 | 68 | 0.6555 | 0.5187 | 0.6543 |
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+ | No log | 4.375 | 70 | 0.6681 | 0.5214 | 0.6669 |
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+ | No log | 4.5 | 72 | 0.5977 | 0.5522 | 0.5967 |
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+ | No log | 4.625 | 74 | 0.6327 | 0.5265 | 0.6317 |
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+ | No log | 4.75 | 76 | 0.7255 | 0.4790 | 0.7244 |
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+ | No log | 4.875 | 78 | 0.6478 | 0.5237 | 0.6469 |
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+ | No log | 5.0 | 80 | 0.6738 | 0.4846 | 0.6728 |
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+ | No log | 5.125 | 82 | 0.7006 | 0.4808 | 0.6996 |
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+ | No log | 5.25 | 84 | 0.6997 | 0.4980 | 0.6987 |
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+ | No log | 5.375 | 86 | 0.7244 | 0.5042 | 0.7234 |
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+ | No log | 5.5 | 88 | 0.8734 | 0.4504 | 0.8720 |
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+ | No log | 5.625 | 90 | 0.9975 | 0.3988 | 0.9959 |
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+ | No log | 5.75 | 92 | 0.8921 | 0.4437 | 0.8908 |
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+ | No log | 5.875 | 94 | 0.6714 | 0.5075 | 0.6707 |
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+ | No log | 6.0 | 96 | 0.6012 | 0.5740 | 0.6007 |
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+ | No log | 6.125 | 98 | 0.6310 | 0.5373 | 0.6304 |
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+ | No log | 6.25 | 100 | 0.7371 | 0.4660 | 0.7361 |
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+ | No log | 6.375 | 102 | 0.7404 | 0.4660 | 0.7394 |
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+ | No log | 6.5 | 104 | 0.6821 | 0.5187 | 0.6812 |
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+ | No log | 6.625 | 106 | 0.7033 | 0.5011 | 0.7023 |
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+ | No log | 6.75 | 108 | 0.8055 | 0.4525 | 0.8043 |
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+ | No log | 6.875 | 110 | 0.9021 | 0.4325 | 0.9007 |
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+ | No log | 7.0 | 112 | 0.8396 | 0.4487 | 0.8384 |
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+ | No log | 7.125 | 114 | 0.7100 | 0.5011 | 0.7090 |
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+ | No log | 7.25 | 116 | 0.6902 | 0.5001 | 0.6894 |
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+ | No log | 7.375 | 118 | 0.7441 | 0.4773 | 0.7431 |
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+ | No log | 7.5 | 120 | 0.8389 | 0.4453 | 0.8379 |
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+ | No log | 7.625 | 122 | 0.8787 | 0.4279 | 0.8776 |
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+ | No log | 7.75 | 124 | 0.8597 | 0.4412 | 0.8587 |
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+ | No log | 7.875 | 126 | 0.7923 | 0.4723 | 0.7914 |
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+ | No log | 8.0 | 128 | 0.7502 | 0.4956 | 0.7493 |
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+ | No log | 8.125 | 130 | 0.7529 | 0.4956 | 0.7521 |
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+ | No log | 8.25 | 132 | 0.8227 | 0.4737 | 0.8217 |
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+ | No log | 8.375 | 134 | 0.9122 | 0.4331 | 0.9110 |
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+ | No log | 8.5 | 136 | 0.9081 | 0.4331 | 0.9069 |
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+ | No log | 8.625 | 138 | 0.8495 | 0.4547 | 0.8484 |
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+ | No log | 8.75 | 140 | 0.8359 | 0.4581 | 0.8348 |
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+ | No log | 8.875 | 142 | 0.8222 | 0.4649 | 0.8211 |
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+ | No log | 9.0 | 144 | 0.8247 | 0.4649 | 0.8237 |
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+ | No log | 9.125 | 146 | 0.8487 | 0.4615 | 0.8476 |
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+ | No log | 9.25 | 148 | 0.8495 | 0.4581 | 0.8485 |
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+ | No log | 9.375 | 150 | 0.8322 | 0.4649 | 0.8311 |
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+ | No log | 9.5 | 152 | 0.8155 | 0.4688 | 0.8145 |
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+ | No log | 9.625 | 154 | 0.7982 | 0.4774 | 0.7972 |
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+ | No log | 9.75 | 156 | 0.7978 | 0.4774 | 0.7968 |
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+ | No log | 9.875 | 158 | 0.8054 | 0.4774 | 0.8044 |
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+ | No log | 10.0 | 160 | 0.8091 | 0.4688 | 0.8081 |
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  ### Framework versions