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arabert_cross_relevance_task6_fold4

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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_task6_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_relevance_task6_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: 0.4618
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- - Qwk: 0.0432
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- - Mse: 0.4618
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  ## Model description
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@@ -45,98 +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 | 0.1111 | 2 | 0.6215 | 0.0598 | 0.6215 |
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- | No log | 0.2222 | 4 | 0.2878 | 0.1667 | 0.2878 |
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- | No log | 0.3333 | 6 | 0.3256 | 0.125 | 0.3256 |
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- | No log | 0.4444 | 8 | 0.2842 | 0.0 | 0.2842 |
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- | No log | 0.5556 | 10 | 0.2870 | 0.0 | 0.2870 |
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- | No log | 0.6667 | 12 | 0.3049 | 0.0 | 0.3049 |
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- | No log | 0.7778 | 14 | 0.2824 | 0.0 | 0.2824 |
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- | No log | 0.8889 | 16 | 0.2859 | 0.0 | 0.2859 |
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- | No log | 1.0 | 18 | 0.2773 | 0.0 | 0.2773 |
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- | No log | 1.1111 | 20 | 0.2760 | 0.0 | 0.2760 |
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- | No log | 1.2222 | 22 | 0.2840 | 0.0 | 0.2840 |
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- | No log | 1.3333 | 24 | 0.2933 | 0.0 | 0.2933 |
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- | No log | 1.4444 | 26 | 0.2910 | 0.0 | 0.2910 |
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- | No log | 1.5556 | 28 | 0.2848 | 0.0 | 0.2848 |
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- | No log | 1.6667 | 30 | 0.2936 | 0.0 | 0.2936 |
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- | No log | 1.7778 | 32 | 0.2964 | 0.0 | 0.2964 |
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- | No log | 1.8889 | 34 | 0.3217 | 0.0 | 0.3217 |
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- | No log | 2.0 | 36 | 0.3074 | 0.0 | 0.3074 |
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- | No log | 2.1111 | 38 | 0.2822 | 0.0 | 0.2822 |
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- | No log | 2.2222 | 40 | 0.2781 | 0.0 | 0.2781 |
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- | No log | 2.3333 | 42 | 0.2711 | 0.0 | 0.2711 |
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- | No log | 2.4444 | 44 | 0.2765 | 0.0 | 0.2765 |
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- | No log | 2.5556 | 46 | 0.2987 | 0.0 | 0.2987 |
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- | No log | 2.6667 | 48 | 0.3302 | 0.0 | 0.3302 |
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- | No log | 2.7778 | 50 | 0.3306 | 0.0 | 0.3306 |
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- | No log | 2.8889 | 52 | 0.3144 | 0.0 | 0.3144 |
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- | No log | 3.0 | 54 | 0.2775 | 0.0 | 0.2775 |
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- | No log | 3.1111 | 56 | 0.2698 | 0.0 | 0.2698 |
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- | No log | 3.2222 | 58 | 0.2930 | 0.0 | 0.2930 |
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- | No log | 3.3333 | 60 | 0.3368 | 0.0 | 0.3368 |
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- | No log | 3.4444 | 62 | 0.3202 | 0.0 | 0.3202 |
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- | No log | 3.5556 | 64 | 0.2917 | 0.0 | 0.2917 |
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- | No log | 3.6667 | 66 | 0.2915 | 0.0 | 0.2915 |
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- | No log | 3.7778 | 68 | 0.3126 | 0.0 | 0.3126 |
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- | No log | 3.8889 | 70 | 0.3240 | 0.0 | 0.3240 |
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- | No log | 4.0 | 72 | 0.3470 | 0.0 | 0.3470 |
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- | No log | 4.1111 | 74 | 0.3430 | 0.0 | 0.3430 |
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- | No log | 4.2222 | 76 | 0.3647 | 0.0 | 0.3647 |
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- | No log | 4.3333 | 78 | 0.3957 | 0.0 | 0.3957 |
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- | No log | 4.4444 | 80 | 0.3840 | 0.0 | 0.3840 |
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- | No log | 4.5556 | 82 | 0.3521 | 0.0 | 0.3521 |
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- | No log | 4.6667 | 84 | 0.3619 | 0.0 | 0.3619 |
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- | No log | 4.7778 | 86 | 0.3569 | 0.0 | 0.3569 |
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- | No log | 4.8889 | 88 | 0.3310 | 0.0 | 0.3310 |
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- | No log | 5.0 | 90 | 0.3382 | 0.0 | 0.3382 |
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- | No log | 5.1111 | 92 | 0.3534 | 0.0 | 0.3534 |
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- | No log | 5.2222 | 94 | 0.3516 | 0.0 | 0.3516 |
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- | No log | 5.3333 | 96 | 0.3252 | 0.0 | 0.3252 |
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- | No log | 5.4444 | 98 | 0.3135 | 0.0 | 0.3135 |
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- | No log | 5.5556 | 100 | 0.3412 | 0.0 | 0.3412 |
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- | No log | 5.6667 | 102 | 0.4012 | 0.0 | 0.4012 |
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- | No log | 5.7778 | 104 | 0.4263 | 0.0224 | 0.4263 |
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- | No log | 5.8889 | 106 | 0.3916 | 0.0 | 0.3916 |
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- | No log | 6.0 | 108 | 0.3330 | 0.0 | 0.3330 |
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- | No log | 6.1111 | 110 | 0.2996 | 0.0 | 0.2996 |
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- | No log | 6.2222 | 112 | 0.3013 | 0.0 | 0.3013 |
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- | No log | 6.3333 | 114 | 0.3241 | 0.0 | 0.3241 |
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- | No log | 6.4444 | 116 | 0.3864 | 0.0 | 0.3864 |
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- | No log | 6.5556 | 118 | 0.4424 | 0.0 | 0.4424 |
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- | No log | 6.6667 | 120 | 0.4730 | 0.0 | 0.4730 |
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- | No log | 6.7778 | 122 | 0.4565 | 0.0 | 0.4565 |
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- | No log | 6.8889 | 124 | 0.4114 | 0.0 | 0.4114 |
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- | No log | 7.0 | 126 | 0.3989 | 0.0 | 0.3989 |
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- | No log | 7.1111 | 128 | 0.3922 | 0.0 | 0.3922 |
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- | No log | 7.2222 | 130 | 0.3994 | 0.0 | 0.3994 |
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- | No log | 7.3333 | 132 | 0.4033 | 0.0 | 0.4033 |
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- | No log | 7.4444 | 134 | 0.3909 | 0.0 | 0.3909 |
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- | No log | 7.5556 | 136 | 0.3949 | 0.0 | 0.3949 |
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- | No log | 7.6667 | 138 | 0.3949 | 0.0 | 0.3949 |
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- | No log | 7.7778 | 140 | 0.4170 | 0.0 | 0.4170 |
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- | No log | 7.8889 | 142 | 0.4493 | 0.0224 | 0.4493 |
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- | No log | 8.0 | 144 | 0.4891 | 0.0432 | 0.4891 |
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- | No log | 8.1111 | 146 | 0.4976 | 0.0230 | 0.4976 |
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- | No log | 8.2222 | 148 | 0.4661 | 0.0432 | 0.4661 |
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- | No log | 8.3333 | 150 | 0.4184 | 0.0224 | 0.4184 |
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- | No log | 8.4444 | 152 | 0.3950 | 0.0 | 0.3950 |
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- | No log | 8.5556 | 154 | 0.3931 | 0.0 | 0.3931 |
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- | No log | 8.6667 | 156 | 0.4033 | 0.0224 | 0.4033 |
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- | No log | 8.7778 | 158 | 0.4222 | 0.0224 | 0.4222 |
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- | No log | 8.8889 | 160 | 0.4526 | 0.0432 | 0.4526 |
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- | No log | 9.0 | 162 | 0.4915 | 0.0432 | 0.4915 |
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- | No log | 9.1111 | 164 | 0.5166 | 0.0054 | 0.5166 |
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- | No log | 9.2222 | 166 | 0.5171 | -0.0026 | 0.5171 |
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- | No log | 9.3333 | 168 | 0.5083 | 0.0139 | 0.5083 |
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- | No log | 9.4444 | 170 | 0.4931 | 0.0327 | 0.4931 |
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- | No log | 9.5556 | 172 | 0.4776 | 0.0432 | 0.4776 |
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- | No log | 9.6667 | 174 | 0.4695 | 0.0432 | 0.4695 |
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- | No log | 9.7778 | 176 | 0.4633 | 0.0432 | 0.4633 |
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- | No log | 9.8889 | 178 | 0.4623 | 0.0432 | 0.4623 |
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- | No log | 10.0 | 180 | 0.4618 | 0.0432 | 0.4618 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task6_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_relevance_task6_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: 0.2650
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+ - Qwk: 0.3603
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+ - Mse: 0.2650
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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 | 0.5208 | 0.1951 | 0.5208 |
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+ | No log | 0.25 | 4 | 0.5167 | 0.1743 | 0.5167 |
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+ | No log | 0.375 | 6 | 0.4163 | 0.2124 | 0.4163 |
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+ | No log | 0.5 | 8 | 0.3864 | 0.2931 | 0.3864 |
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+ | No log | 0.625 | 10 | 0.3687 | 0.3169 | 0.3687 |
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+ | No log | 0.75 | 12 | 0.3018 | 0.3399 | 0.3018 |
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+ | No log | 0.875 | 14 | 0.3682 | 0.2424 | 0.3682 |
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+ | No log | 1.0 | 16 | 0.4150 | 0.2379 | 0.4150 |
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+ | No log | 1.125 | 18 | 0.3832 | 0.2446 | 0.3832 |
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+ | No log | 1.25 | 20 | 0.3293 | 0.3301 | 0.3293 |
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+ | No log | 1.375 | 22 | 0.2923 | 0.4174 | 0.2923 |
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+ | No log | 1.5 | 24 | 0.2780 | 0.3858 | 0.2780 |
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+ | No log | 1.625 | 26 | 0.2804 | 0.3481 | 0.2804 |
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+ | No log | 1.75 | 28 | 0.2982 | 0.3235 | 0.2982 |
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+ | No log | 1.875 | 30 | 0.3255 | 0.3037 | 0.3255 |
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+ | No log | 2.0 | 32 | 0.3232 | 0.3223 | 0.3232 |
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+ | No log | 2.125 | 34 | 0.3010 | 0.3265 | 0.3010 |
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+ | No log | 2.25 | 36 | 0.2972 | 0.3385 | 0.2972 |
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+ | No log | 2.375 | 38 | 0.2953 | 0.3744 | 0.2953 |
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+ | No log | 2.5 | 40 | 0.2914 | 0.3362 | 0.2914 |
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+ | No log | 2.625 | 42 | 0.2775 | 0.3356 | 0.2775 |
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+ | No log | 2.75 | 44 | 0.2717 | 0.3488 | 0.2717 |
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+ | No log | 2.875 | 46 | 0.2682 | 0.3516 | 0.2682 |
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+ | No log | 3.0 | 48 | 0.2717 | 0.3659 | 0.2717 |
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+ | No log | 3.125 | 50 | 0.2762 | 0.4330 | 0.2762 |
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+ | No log | 3.25 | 52 | 0.2974 | 0.4860 | 0.2974 |
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+ | No log | 3.375 | 54 | 0.3155 | 0.4427 | 0.3155 |
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+ | No log | 3.5 | 56 | 0.2887 | 0.3242 | 0.2887 |
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+ | No log | 3.625 | 58 | 0.2903 | 0.2974 | 0.2903 |
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+ | No log | 3.75 | 60 | 0.2966 | 0.3011 | 0.2966 |
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+ | No log | 3.875 | 62 | 0.3108 | 0.3189 | 0.3108 |
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+ | No log | 4.0 | 64 | 0.3002 | 0.3729 | 0.3002 |
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+ | No log | 4.125 | 66 | 0.3025 | 0.4184 | 0.3025 |
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+ | No log | 4.25 | 68 | 0.2768 | 0.4398 | 0.2768 |
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+ | No log | 4.375 | 70 | 0.2840 | 0.4468 | 0.2840 |
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+ | No log | 4.5 | 72 | 0.2805 | 0.4330 | 0.2805 |
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+ | No log | 4.625 | 74 | 0.2739 | 0.3745 | 0.2739 |
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+ | No log | 4.75 | 76 | 0.2753 | 0.3395 | 0.2753 |
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+ | No log | 4.875 | 78 | 0.2722 | 0.3153 | 0.2722 |
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+ | No log | 5.0 | 80 | 0.2714 | 0.3164 | 0.2714 |
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+ | No log | 5.125 | 82 | 0.2809 | 0.3280 | 0.2809 |
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+ | No log | 5.25 | 84 | 0.2844 | 0.3541 | 0.2844 |
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+ | No log | 5.375 | 86 | 0.2818 | 0.3541 | 0.2818 |
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+ | No log | 5.5 | 88 | 0.2663 | 0.3932 | 0.2663 |
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+ | No log | 5.625 | 90 | 0.2624 | 0.3872 | 0.2624 |
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+ | No log | 5.75 | 92 | 0.2639 | 0.3941 | 0.2639 |
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+ | No log | 5.875 | 94 | 0.2817 | 0.3331 | 0.2817 |
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+ | No log | 6.0 | 96 | 0.3073 | 0.3225 | 0.3073 |
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+ | No log | 6.125 | 98 | 0.3094 | 0.3274 | 0.3094 |
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+ | No log | 6.25 | 100 | 0.2931 | 0.3261 | 0.2931 |
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+ | No log | 6.375 | 102 | 0.2777 | 0.3289 | 0.2777 |
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+ | No log | 6.5 | 104 | 0.2693 | 0.3611 | 0.2693 |
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+ | No log | 6.625 | 106 | 0.2685 | 0.3510 | 0.2685 |
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+ | No log | 6.75 | 108 | 0.2718 | 0.3630 | 0.2718 |
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+ | No log | 6.875 | 110 | 0.2628 | 0.3742 | 0.2628 |
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+ | No log | 7.0 | 112 | 0.2633 | 0.3688 | 0.2633 |
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+ | No log | 7.125 | 114 | 0.2771 | 0.3635 | 0.2771 |
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+ | No log | 7.25 | 116 | 0.2913 | 0.3936 | 0.2913 |
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+ | No log | 7.375 | 118 | 0.2849 | 0.4111 | 0.2849 |
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+ | No log | 7.5 | 120 | 0.2790 | 0.4053 | 0.2790 |
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+ | No log | 7.625 | 122 | 0.2834 | 0.4053 | 0.2834 |
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+ | No log | 7.75 | 124 | 0.2822 | 0.3877 | 0.2822 |
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+ | No log | 7.875 | 126 | 0.2858 | 0.3818 | 0.2858 |
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+ | No log | 8.0 | 128 | 0.2754 | 0.3690 | 0.2754 |
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+ | No log | 8.125 | 130 | 0.2679 | 0.3880 | 0.2679 |
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+ | No log | 8.25 | 132 | 0.2657 | 0.4144 | 0.2657 |
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+ | No log | 8.375 | 134 | 0.2684 | 0.4198 | 0.2684 |
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+ | No log | 8.5 | 136 | 0.2677 | 0.4184 | 0.2677 |
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+ | No log | 8.625 | 138 | 0.2659 | 0.4077 | 0.2659 |
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+ | No log | 8.75 | 140 | 0.2673 | 0.3853 | 0.2673 |
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+ | No log | 8.875 | 142 | 0.2664 | 0.3686 | 0.2664 |
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+ | No log | 9.0 | 144 | 0.2685 | 0.3582 | 0.2685 |
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+ | No log | 9.125 | 146 | 0.2677 | 0.3582 | 0.2677 |
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+ | No log | 9.25 | 148 | 0.2671 | 0.3582 | 0.2671 |
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+ | No log | 9.375 | 150 | 0.2663 | 0.3582 | 0.2663 |
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+ | No log | 9.5 | 152 | 0.2659 | 0.3526 | 0.2659 |
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+ | No log | 9.625 | 154 | 0.2647 | 0.3697 | 0.2647 |
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+ | No log | 9.75 | 156 | 0.2651 | 0.3705 | 0.2651 |
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+ | No log | 9.875 | 158 | 0.2648 | 0.3705 | 0.2648 |
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+ | No log | 10.0 | 160 | 0.2650 | 0.3603 | 0.2650 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions