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arabert_cross_relevance_task4_fold0

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  1. README.md +90 -90
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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_task3_fold6
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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_task3_fold6
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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: 0.3958
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- - Qwk: 0.2096
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- - Mse: 0.3959
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  ## Model description
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@@ -47,91 +47,91 @@ The following hyperparameters were used during training:
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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 | 0.7510 | 0.0098 | 0.7490 |
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- | No log | 0.2353 | 4 | 0.3906 | 0.1162 | 0.3902 |
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- | No log | 0.3529 | 6 | 0.3053 | 0.1347 | 0.3057 |
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- | No log | 0.4706 | 8 | 0.2972 | 0.1520 | 0.2976 |
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- | No log | 0.5882 | 10 | 0.2828 | 0.1830 | 0.2831 |
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- | No log | 0.7059 | 12 | 0.2698 | 0.1906 | 0.2703 |
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- | No log | 0.8235 | 14 | 0.2743 | 0.1500 | 0.2750 |
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- | No log | 0.9412 | 16 | 0.2742 | 0.1578 | 0.2747 |
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- | No log | 1.0588 | 18 | 0.3079 | 0.1726 | 0.3083 |
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- | No log | 1.1765 | 20 | 0.3022 | 0.1999 | 0.3025 |
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- | No log | 1.2941 | 22 | 0.2720 | 0.2049 | 0.2724 |
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- | No log | 1.4118 | 24 | 0.2712 | 0.2178 | 0.2717 |
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- | No log | 1.5294 | 26 | 0.2820 | 0.2018 | 0.2823 |
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- | No log | 1.6471 | 28 | 0.2988 | 0.2137 | 0.2990 |
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- | No log | 1.7647 | 30 | 0.2801 | 0.2099 | 0.2803 |
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- | No log | 1.8824 | 32 | 0.2536 | 0.2155 | 0.2541 |
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- | No log | 2.0 | 34 | 0.2547 | 0.2222 | 0.2553 |
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- | No log | 2.1176 | 36 | 0.2817 | 0.1893 | 0.2821 |
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- | No log | 2.2353 | 38 | 0.3173 | 0.2127 | 0.3175 |
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- | No log | 2.3529 | 40 | 0.2805 | 0.1991 | 0.2808 |
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- | No log | 2.4706 | 42 | 0.2617 | 0.2112 | 0.2624 |
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- | No log | 2.5882 | 44 | 0.2662 | 0.2183 | 0.2670 |
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- | No log | 2.7059 | 46 | 0.2560 | 0.2109 | 0.2565 |
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- | No log | 2.8235 | 48 | 0.3002 | 0.2083 | 0.3005 |
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- | No log | 2.9412 | 50 | 0.3062 | 0.2127 | 0.3065 |
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- | No log | 3.0588 | 52 | 0.2753 | 0.1995 | 0.2757 |
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- | No log | 3.1765 | 54 | 0.2479 | 0.2057 | 0.2485 |
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- | No log | 3.2941 | 56 | 0.2470 | 0.1860 | 0.2476 |
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- | No log | 3.4118 | 58 | 0.2610 | 0.2099 | 0.2614 |
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- | No log | 3.5294 | 60 | 0.2690 | 0.2044 | 0.2693 |
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- | No log | 3.6471 | 62 | 0.2641 | 0.2067 | 0.2645 |
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- | No log | 3.7647 | 64 | 0.2712 | 0.1995 | 0.2715 |
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- | No log | 3.8824 | 66 | 0.2789 | 0.1943 | 0.2792 |
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- | No log | 4.0 | 68 | 0.2918 | 0.2127 | 0.2920 |
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- | No log | 4.1176 | 70 | 0.2717 | 0.2038 | 0.2720 |
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- | No log | 4.2353 | 72 | 0.2866 | 0.2127 | 0.2868 |
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- | No log | 4.3529 | 74 | 0.2850 | 0.2127 | 0.2852 |
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- | No log | 4.4706 | 76 | 0.2771 | 0.2292 | 0.2774 |
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- | No log | 4.5882 | 78 | 0.2687 | 0.1915 | 0.2690 |
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- | No log | 4.7059 | 80 | 0.2758 | 0.2044 | 0.2761 |
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- | No log | 4.8235 | 82 | 0.3101 | 0.2211 | 0.3103 |
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- | No log | 4.9412 | 84 | 0.3572 | 0.2110 | 0.3573 |
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- | No log | 5.0588 | 86 | 0.3906 | 0.1858 | 0.3906 |
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- | No log | 5.1765 | 88 | 0.3591 | 0.1982 | 0.3592 |
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- | No log | 5.2941 | 90 | 0.3170 | 0.2140 | 0.3173 |
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- | No log | 5.4118 | 92 | 0.3098 | 0.2140 | 0.3102 |
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- | No log | 5.5294 | 94 | 0.3073 | 0.2048 | 0.3077 |
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- | No log | 5.6471 | 96 | 0.3304 | 0.2001 | 0.3307 |
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- | No log | 5.7647 | 98 | 0.3825 | 0.2103 | 0.3825 |
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- | No log | 5.8824 | 100 | 0.3978 | 0.1979 | 0.3978 |
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- | No log | 6.0 | 102 | 0.3627 | 0.2110 | 0.3629 |
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- | No log | 6.1176 | 104 | 0.3352 | 0.1985 | 0.3354 |
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- | No log | 6.2353 | 106 | 0.3174 | 0.2127 | 0.3177 |
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- | No log | 6.3529 | 108 | 0.3418 | 0.2070 | 0.3421 |
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- | No log | 6.4706 | 110 | 0.3437 | 0.1982 | 0.3439 |
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- | No log | 6.5882 | 112 | 0.3452 | 0.1982 | 0.3454 |
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- | No log | 6.7059 | 114 | 0.3485 | 0.2070 | 0.3487 |
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- | No log | 6.8235 | 116 | 0.3713 | 0.1979 | 0.3714 |
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- | No log | 6.9412 | 118 | 0.3854 | 0.1858 | 0.3855 |
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- | No log | 7.0588 | 120 | 0.3950 | 0.1821 | 0.3949 |
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- | No log | 7.1765 | 122 | 0.3832 | 0.1858 | 0.3832 |
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- | No log | 7.2941 | 124 | 0.3695 | 0.2019 | 0.3697 |
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- | No log | 7.4118 | 126 | 0.3763 | 0.2058 | 0.3764 |
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- | No log | 7.5294 | 128 | 0.3884 | 0.1898 | 0.3885 |
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- | No log | 7.6471 | 130 | 0.4063 | 0.1785 | 0.4064 |
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- | No log | 7.7647 | 132 | 0.3900 | 0.1780 | 0.3901 |
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- | No log | 7.8824 | 134 | 0.3822 | 0.1739 | 0.3823 |
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- | No log | 8.0 | 136 | 0.3725 | 0.1856 | 0.3726 |
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- | No log | 8.1176 | 138 | 0.3559 | 0.1854 | 0.3560 |
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- | No log | 8.2353 | 140 | 0.3576 | 0.2023 | 0.3578 |
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- | No log | 8.3529 | 142 | 0.3825 | 0.1977 | 0.3826 |
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- | No log | 8.4706 | 144 | 0.3960 | 0.2015 | 0.3961 |
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- | No log | 8.5882 | 146 | 0.3877 | 0.2015 | 0.3877 |
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- | No log | 8.7059 | 148 | 0.3846 | 0.2096 | 0.3847 |
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- | No log | 8.8235 | 150 | 0.3711 | 0.2058 | 0.3712 |
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- | No log | 8.9412 | 152 | 0.3592 | 0.2103 | 0.3594 |
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- | No log | 9.0588 | 154 | 0.3526 | 0.2103 | 0.3529 |
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- | No log | 9.1765 | 156 | 0.3597 | 0.2141 | 0.3598 |
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- | No log | 9.2941 | 158 | 0.3711 | 0.2058 | 0.3712 |
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- | No log | 9.4118 | 160 | 0.3827 | 0.2096 | 0.3828 |
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- | No log | 9.5294 | 162 | 0.3867 | 0.2096 | 0.3867 |
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- | No log | 9.6471 | 164 | 0.3912 | 0.2096 | 0.3912 |
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- | No log | 9.7647 | 166 | 0.3942 | 0.2096 | 0.3942 |
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- | No log | 9.8824 | 168 | 0.3960 | 0.2096 | 0.3960 |
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- | No log | 10.0 | 170 | 0.3958 | 0.2096 | 0.3959 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task4_fold0
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_task4_fold0
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: 0.2736
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+ - Qwk: 0.1560
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+ - Mse: 0.2738
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  ## Model description
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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 | 0.5899 | 0.0303 | 0.5899 |
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+ | No log | 0.2353 | 4 | 0.2991 | 0.0083 | 0.2993 |
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+ | No log | 0.3529 | 6 | 0.2856 | 0.0046 | 0.2859 |
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+ | No log | 0.4706 | 8 | 0.3724 | 0.0918 | 0.3727 |
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+ | No log | 0.5882 | 10 | 0.3677 | 0.1010 | 0.3680 |
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+ | No log | 0.7059 | 12 | 0.2967 | 0.0745 | 0.2971 |
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+ | No log | 0.8235 | 14 | 0.2878 | 0.0745 | 0.2883 |
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+ | No log | 0.9412 | 16 | 0.3092 | 0.0849 | 0.3099 |
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+ | No log | 1.0588 | 18 | 0.3111 | 0.0769 | 0.3118 |
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+ | No log | 1.1765 | 20 | 0.3278 | 0.0860 | 0.3286 |
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+ | No log | 1.2941 | 22 | 0.3356 | 0.0940 | 0.3363 |
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+ | No log | 1.4118 | 24 | 0.3182 | 0.0930 | 0.3188 |
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+ | No log | 1.5294 | 26 | 0.2840 | 0.0711 | 0.2844 |
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+ | No log | 1.6471 | 28 | 0.2640 | 0.0745 | 0.2644 |
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+ | No log | 1.7647 | 30 | 0.2617 | 0.0787 | 0.2620 |
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+ | No log | 1.8824 | 32 | 0.2721 | 0.0686 | 0.2724 |
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+ | No log | 2.0 | 34 | 0.2784 | 0.0709 | 0.2787 |
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+ | No log | 2.1176 | 36 | 0.2850 | 0.1325 | 0.2852 |
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+ | No log | 2.2353 | 38 | 0.2912 | 0.2051 | 0.2915 |
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+ | No log | 2.3529 | 40 | 0.2922 | 0.1733 | 0.2925 |
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+ | No log | 2.4706 | 42 | 0.2846 | 0.1093 | 0.2850 |
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+ | No log | 2.5882 | 44 | 0.2920 | 0.1049 | 0.2924 |
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+ | No log | 2.7059 | 46 | 0.3062 | 0.1101 | 0.3066 |
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+ | No log | 2.8235 | 48 | 0.2956 | 0.1049 | 0.2961 |
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+ | No log | 2.9412 | 50 | 0.2664 | 0.1066 | 0.2668 |
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+ | No log | 3.0588 | 52 | 0.2583 | 0.1197 | 0.2587 |
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+ | No log | 3.1765 | 54 | 0.2638 | 0.1594 | 0.2642 |
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+ | No log | 3.2941 | 56 | 0.2611 | 0.1408 | 0.2615 |
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+ | No log | 3.4118 | 58 | 0.2742 | 0.1087 | 0.2747 |
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+ | No log | 3.5294 | 60 | 0.2867 | 0.0956 | 0.2872 |
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+ | No log | 3.6471 | 62 | 0.3015 | 0.0985 | 0.3019 |
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+ | No log | 3.7647 | 64 | 0.2991 | 0.1076 | 0.2995 |
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+ | No log | 3.8824 | 66 | 0.2717 | 0.1219 | 0.2721 |
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+ | No log | 4.0 | 68 | 0.2625 | 0.1787 | 0.2628 |
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+ | No log | 4.1176 | 70 | 0.2648 | 0.2139 | 0.2651 |
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+ | No log | 4.2353 | 72 | 0.2608 | 0.1889 | 0.2611 |
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+ | No log | 4.3529 | 74 | 0.2596 | 0.1230 | 0.2599 |
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+ | No log | 4.4706 | 76 | 0.2657 | 0.1072 | 0.2660 |
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+ | No log | 4.5882 | 78 | 0.2691 | 0.1064 | 0.2695 |
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+ | No log | 4.7059 | 80 | 0.2573 | 0.0987 | 0.2577 |
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+ | No log | 4.8235 | 82 | 0.2467 | 0.1026 | 0.2470 |
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+ | No log | 4.9412 | 84 | 0.2538 | 0.1374 | 0.2541 |
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+ | No log | 5.0588 | 86 | 0.2632 | 0.1541 | 0.2635 |
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+ | No log | 5.1765 | 88 | 0.2699 | 0.1482 | 0.2702 |
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+ | No log | 5.2941 | 90 | 0.2684 | 0.1464 | 0.2687 |
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+ | No log | 5.4118 | 92 | 0.2643 | 0.1446 | 0.2646 |
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+ | No log | 5.5294 | 94 | 0.2663 | 0.1381 | 0.2665 |
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+ | No log | 5.6471 | 96 | 0.2594 | 0.1117 | 0.2597 |
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+ | No log | 5.7647 | 98 | 0.2596 | 0.1043 | 0.2599 |
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+ | No log | 5.8824 | 100 | 0.2557 | 0.1095 | 0.2559 |
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+ | No log | 6.0 | 102 | 0.2552 | 0.1192 | 0.2555 |
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+ | No log | 6.1176 | 104 | 0.2623 | 0.1286 | 0.2626 |
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+ | No log | 6.2353 | 106 | 0.2589 | 0.1349 | 0.2592 |
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+ | No log | 6.3529 | 108 | 0.2591 | 0.1493 | 0.2593 |
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+ | No log | 6.4706 | 110 | 0.2623 | 0.1697 | 0.2626 |
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+ | No log | 6.5882 | 112 | 0.2713 | 0.1744 | 0.2716 |
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+ | No log | 6.7059 | 114 | 0.2740 | 0.1744 | 0.2743 |
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+ | No log | 6.8235 | 116 | 0.2753 | 0.1499 | 0.2756 |
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+ | No log | 6.9412 | 118 | 0.2729 | 0.1471 | 0.2732 |
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+ | No log | 7.0588 | 120 | 0.2685 | 0.1437 | 0.2688 |
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+ | No log | 7.1765 | 122 | 0.2665 | 0.1388 | 0.2667 |
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+ | No log | 7.2941 | 124 | 0.2587 | 0.1432 | 0.2589 |
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+ | No log | 7.4118 | 126 | 0.2538 | 0.1376 | 0.2541 |
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+ | No log | 7.5294 | 128 | 0.2554 | 0.1388 | 0.2557 |
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+ | No log | 7.6471 | 130 | 0.2570 | 0.1592 | 0.2572 |
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+ | No log | 7.7647 | 132 | 0.2582 | 0.1593 | 0.2584 |
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+ | No log | 7.8824 | 134 | 0.2619 | 0.1575 | 0.2621 |
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+ | No log | 8.0 | 136 | 0.2676 | 0.1543 | 0.2678 |
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+ | No log | 8.1176 | 138 | 0.2711 | 0.1419 | 0.2714 |
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+ | No log | 8.2353 | 140 | 0.2745 | 0.1388 | 0.2747 |
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+ | No log | 8.3529 | 142 | 0.2729 | 0.1388 | 0.2731 |
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+ | No log | 8.4706 | 144 | 0.2716 | 0.1325 | 0.2718 |
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+ | No log | 8.5882 | 146 | 0.2731 | 0.1295 | 0.2734 |
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+ | No log | 8.7059 | 148 | 0.2726 | 0.1287 | 0.2729 |
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+ | No log | 8.8235 | 150 | 0.2748 | 0.1306 | 0.2751 |
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+ | No log | 8.9412 | 152 | 0.2760 | 0.1400 | 0.2762 |
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+ | No log | 9.0588 | 154 | 0.2751 | 0.1400 | 0.2754 |
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+ | No log | 9.1765 | 156 | 0.2728 | 0.1478 | 0.2731 |
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+ | No log | 9.2941 | 158 | 0.2721 | 0.1478 | 0.2723 |
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+ | No log | 9.4118 | 160 | 0.2716 | 0.1478 | 0.2718 |
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+ | No log | 9.5294 | 162 | 0.2714 | 0.1478 | 0.2717 |
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+ | No log | 9.6471 | 164 | 0.2722 | 0.1478 | 0.2725 |
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+ | No log | 9.7647 | 166 | 0.2731 | 0.1560 | 0.2733 |
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+ | No log | 9.8824 | 168 | 0.2734 | 0.1560 | 0.2736 |
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+ | No log | 10.0 | 170 | 0.2736 | 0.1560 | 0.2738 |
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  ### Framework versions