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arabert_cross_relevance_task4_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_task4_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_task4_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: 0.3037
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- - Qwk: 0.3732
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- - Mse: 0.3037
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  ## Model description
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@@ -47,91 +47,96 @@ 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 | 0.5630 | 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
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task4_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_task4_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: 0.2574
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+ - Qwk: 0.3506
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+ - Mse: 0.2574
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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 | 0.1111 | 2 | 0.5156 | 0.0454 | 0.5156 |
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+ | No log | 0.2222 | 4 | 0.4059 | 0.0584 | 0.4059 |
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+ | No log | 0.3333 | 6 | 0.3883 | 0.0664 | 0.3883 |
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+ | No log | 0.4444 | 8 | 0.3323 | 0.0300 | 0.3323 |
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+ | No log | 0.5556 | 10 | 0.3166 | 0.0769 | 0.3166 |
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+ | No log | 0.6667 | 12 | 0.3026 | 0.0769 | 0.3026 |
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+ | No log | 0.7778 | 14 | 0.2709 | 0.1111 | 0.2709 |
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+ | No log | 0.8889 | 16 | 0.2522 | 0.2158 | 0.2522 |
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+ | No log | 1.0 | 18 | 0.2404 | 0.3048 | 0.2404 |
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+ | No log | 1.1111 | 20 | 0.2348 | 0.2941 | 0.2348 |
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+ | No log | 1.2222 | 22 | 0.2318 | 0.3163 | 0.2318 |
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+ | No log | 1.3333 | 24 | 0.2322 | 0.3054 | 0.2322 |
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+ | No log | 1.4444 | 26 | 0.2311 | 0.2906 | 0.2311 |
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+ | No log | 1.5556 | 28 | 0.2619 | 0.2871 | 0.2619 |
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+ | No log | 1.6667 | 30 | 0.2783 | 0.2455 | 0.2783 |
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+ | No log | 1.7778 | 32 | 0.2675 | 0.3226 | 0.2675 |
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+ | No log | 1.8889 | 34 | 0.2424 | 0.2797 | 0.2424 |
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+ | No log | 2.0 | 36 | 0.2390 | 0.2795 | 0.2390 |
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+ | No log | 2.1111 | 38 | 0.2386 | 0.2863 | 0.2386 |
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+ | No log | 2.2222 | 40 | 0.2432 | 0.3256 | 0.2432 |
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+ | No log | 2.3333 | 42 | 0.2747 | 0.4663 | 0.2747 |
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+ | No log | 2.4444 | 44 | 0.2768 | 0.4585 | 0.2768 |
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+ | No log | 2.5556 | 46 | 0.2536 | 0.3640 | 0.2536 |
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+ | No log | 2.6667 | 48 | 0.2422 | 0.2688 | 0.2422 |
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+ | No log | 2.7778 | 50 | 0.2397 | 0.2728 | 0.2397 |
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+ | No log | 2.8889 | 52 | 0.2372 | 0.2688 | 0.2372 |
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+ | No log | 3.0 | 54 | 0.2444 | 0.3025 | 0.2444 |
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+ | No log | 3.1111 | 56 | 0.2512 | 0.3711 | 0.2512 |
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+ | No log | 3.2222 | 58 | 0.2356 | 0.3252 | 0.2356 |
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+ | No log | 3.3333 | 60 | 0.2395 | 0.2652 | 0.2395 |
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+ | No log | 3.4444 | 62 | 0.2364 | 0.3424 | 0.2364 |
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+ | No log | 3.5556 | 64 | 0.2393 | 0.3891 | 0.2393 |
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+ | No log | 3.6667 | 66 | 0.2374 | 0.3877 | 0.2374 |
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+ | No log | 3.7778 | 68 | 0.2344 | 0.3590 | 0.2344 |
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+ | No log | 3.8889 | 70 | 0.2383 | 0.3509 | 0.2383 |
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+ | No log | 4.0 | 72 | 0.2414 | 0.3561 | 0.2414 |
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+ | No log | 4.1111 | 74 | 0.2562 | 0.3780 | 0.2562 |
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+ | No log | 4.2222 | 76 | 0.2480 | 0.3775 | 0.2480 |
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+ | No log | 4.3333 | 78 | 0.2372 | 0.3346 | 0.2372 |
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+ | No log | 4.4444 | 80 | 0.2374 | 0.3862 | 0.2374 |
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+ | No log | 4.5556 | 82 | 0.2400 | 0.4009 | 0.2400 |
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+ | No log | 4.6667 | 84 | 0.2397 | 0.3761 | 0.2397 |
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+ | No log | 4.7778 | 86 | 0.2421 | 0.3780 | 0.2421 |
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+ | No log | 4.8889 | 88 | 0.2422 | 0.4085 | 0.2422 |
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+ | No log | 5.0 | 90 | 0.2475 | 0.3510 | 0.2475 |
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+ | No log | 5.1111 | 92 | 0.2516 | 0.3213 | 0.2516 |
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+ | No log | 5.2222 | 94 | 0.2411 | 0.3195 | 0.2411 |
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+ | No log | 5.3333 | 96 | 0.2411 | 0.3936 | 0.2411 |
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+ | No log | 5.4444 | 98 | 0.2487 | 0.3948 | 0.2487 |
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+ | No log | 5.5556 | 100 | 0.2404 | 0.3513 | 0.2404 |
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+ | No log | 5.6667 | 102 | 0.2386 | 0.2965 | 0.2386 |
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+ | No log | 5.7778 | 104 | 0.2498 | 0.2913 | 0.2498 |
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+ | No log | 5.8889 | 106 | 0.2471 | 0.3274 | 0.2471 |
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+ | No log | 6.0 | 108 | 0.2451 | 0.4019 | 0.2451 |
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+ | No log | 6.1111 | 110 | 0.2598 | 0.5037 | 0.2598 |
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+ | No log | 6.2222 | 112 | 0.2620 | 0.4876 | 0.2620 |
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+ | No log | 6.3333 | 114 | 0.2507 | 0.4433 | 0.2507 |
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+ | No log | 6.4444 | 116 | 0.2412 | 0.3147 | 0.2412 |
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+ | No log | 6.5556 | 118 | 0.2475 | 0.2991 | 0.2475 |
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+ | No log | 6.6667 | 120 | 0.2504 | 0.3106 | 0.2504 |
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+ | No log | 6.7778 | 122 | 0.2428 | 0.3103 | 0.2428 |
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+ | No log | 6.8889 | 124 | 0.2451 | 0.3410 | 0.2451 |
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+ | No log | 7.0 | 126 | 0.2482 | 0.3509 | 0.2482 |
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+ | No log | 7.1111 | 128 | 0.2493 | 0.3984 | 0.2493 |
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+ | No log | 7.2222 | 130 | 0.2509 | 0.3757 | 0.2509 |
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+ | No log | 7.3333 | 132 | 0.2537 | 0.3713 | 0.2537 |
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+ | No log | 7.4444 | 134 | 0.2508 | 0.3694 | 0.2508 |
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+ | No log | 7.5556 | 136 | 0.2502 | 0.3626 | 0.2502 |
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+ | No log | 7.6667 | 138 | 0.2486 | 0.3673 | 0.2486 |
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+ | No log | 7.7778 | 140 | 0.2488 | 0.3357 | 0.2488 |
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+ | No log | 7.8889 | 142 | 0.2538 | 0.3178 | 0.2538 |
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+ | No log | 8.0 | 144 | 0.2653 | 0.3018 | 0.2653 |
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+ | No log | 8.1111 | 146 | 0.2720 | 0.3029 | 0.2720 |
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+ | No log | 8.2222 | 148 | 0.2665 | 0.3258 | 0.2665 |
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+ | No log | 8.3333 | 150 | 0.2598 | 0.3725 | 0.2598 |
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+ | No log | 8.4444 | 152 | 0.2597 | 0.3889 | 0.2597 |
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+ | No log | 8.5556 | 154 | 0.2611 | 0.4296 | 0.2611 |
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+ | No log | 8.6667 | 156 | 0.2627 | 0.3969 | 0.2627 |
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+ | No log | 8.7778 | 158 | 0.2627 | 0.3787 | 0.2627 |
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+ | No log | 8.8889 | 160 | 0.2639 | 0.3679 | 0.2639 |
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+ | No log | 9.0 | 162 | 0.2673 | 0.3381 | 0.2673 |
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+ | No log | 9.1111 | 164 | 0.2677 | 0.3197 | 0.2677 |
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+ | No log | 9.2222 | 166 | 0.2642 | 0.3383 | 0.2642 |
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+ | No log | 9.3333 | 168 | 0.2606 | 0.3291 | 0.2606 |
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+ | No log | 9.4444 | 170 | 0.2580 | 0.3307 | 0.2580 |
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+ | No log | 9.5556 | 172 | 0.2570 | 0.3373 | 0.2570 |
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+ | No log | 9.6667 | 174 | 0.2566 | 0.3440 | 0.2566 |
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+ | No log | 9.7778 | 176 | 0.2569 | 0.3506 | 0.2569 |
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+ | No log | 9.8889 | 178 | 0.2572 | 0.3506 | 0.2572 |
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+ | No log | 10.0 | 180 | 0.2574 | 0.3506 | 0.2574 |
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  ### Framework versions