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arabert_cross_relevance_task7_fold6

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  1. README.md +85 -85
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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_task7_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_relevance_task7_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: 0.2737
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- - Qwk: 0.2531
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- - Mse: 0.2737
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  ## Model description
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@@ -47,86 +47,86 @@ 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 | 0.125 | 2 | 1.2635 | 0.0075 | 1.2635 |
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- | No log | 0.25 | 4 | 0.4733 | 0.0856 | 0.4733 |
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- | No log | 0.375 | 6 | 0.4780 | 0.1193 | 0.4780 |
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- | No log | 0.5 | 8 | 0.4171 | 0.1125 | 0.4171 |
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- | No log | 0.625 | 10 | 0.3393 | 0.1154 | 0.3393 |
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- | No log | 0.75 | 12 | 0.3133 | 0.0877 | 0.3133 |
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- | No log | 0.875 | 14 | 0.2954 | 0.0958 | 0.2954 |
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- | No log | 1.0 | 16 | 0.2822 | 0.1293 | 0.2822 |
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- | No log | 1.125 | 18 | 0.2616 | 0.1948 | 0.2616 |
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- | No log | 1.25 | 20 | 0.2545 | 0.2304 | 0.2545 |
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- | No log | 1.375 | 22 | 0.2454 | 0.2207 | 0.2454 |
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- | No log | 1.5 | 24 | 0.2508 | 0.2316 | 0.2508 |
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- | No log | 1.625 | 26 | 0.2477 | 0.2028 | 0.2477 |
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- | No log | 1.75 | 28 | 0.2442 | 0.2000 | 0.2442 |
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- | No log | 1.875 | 30 | 0.2513 | 0.2028 | 0.2513 |
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- | No log | 2.0 | 32 | 0.2468 | 0.2138 | 0.2468 |
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- | No log | 2.125 | 34 | 0.2358 | 0.2349 | 0.2358 |
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- | No log | 2.25 | 36 | 0.2333 | 0.2259 | 0.2333 |
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- | No log | 2.375 | 38 | 0.2391 | 0.2212 | 0.2391 |
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- | No log | 2.5 | 40 | 0.2305 | 0.2355 | 0.2305 |
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- | No log | 2.625 | 42 | 0.2393 | 0.2837 | 0.2393 |
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- | No log | 2.75 | 44 | 0.2395 | 0.2837 | 0.2395 |
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- | No log | 2.875 | 46 | 0.2326 | 0.2838 | 0.2326 |
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- | No log | 3.0 | 48 | 0.2323 | 0.2435 | 0.2323 |
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- | No log | 3.125 | 50 | 0.2326 | 0.2723 | 0.2326 |
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- | No log | 3.25 | 52 | 0.2331 | 0.2723 | 0.2331 |
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- | No log | 3.375 | 54 | 0.2328 | 0.2800 | 0.2328 |
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- | No log | 3.5 | 56 | 0.2397 | 0.2677 | 0.2397 |
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- | No log | 3.625 | 58 | 0.2444 | 0.2503 | 0.2444 |
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- | No log | 3.75 | 60 | 0.2477 | 0.2371 | 0.2477 |
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- | No log | 3.875 | 62 | 0.2481 | 0.2355 | 0.2481 |
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- | No log | 4.0 | 64 | 0.2561 | 0.2148 | 0.2561 |
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- | No log | 4.125 | 66 | 0.2682 | 0.2101 | 0.2682 |
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- | No log | 4.25 | 68 | 0.2759 | 0.1725 | 0.2759 |
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- | No log | 4.375 | 70 | 0.2719 | 0.1665 | 0.2719 |
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- | No log | 4.5 | 72 | 0.2545 | 0.2022 | 0.2545 |
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- | No log | 4.625 | 74 | 0.2459 | 0.2488 | 0.2459 |
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- | No log | 4.75 | 76 | 0.2442 | 0.2674 | 0.2442 |
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- | No log | 4.875 | 78 | 0.2574 | 0.2183 | 0.2574 |
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- | No log | 5.0 | 80 | 0.2695 | 0.2133 | 0.2695 |
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- | No log | 5.125 | 82 | 0.2908 | 0.2237 | 0.2908 |
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- | No log | 5.25 | 84 | 0.2741 | 0.2523 | 0.2741 |
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- | No log | 5.375 | 86 | 0.2535 | 0.2795 | 0.2535 |
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- | No log | 5.5 | 88 | 0.2511 | 0.2795 | 0.2511 |
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- | No log | 5.625 | 90 | 0.2503 | 0.2680 | 0.2503 |
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- | No log | 5.75 | 92 | 0.2516 | 0.2536 | 0.2516 |
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- | No log | 5.875 | 94 | 0.2541 | 0.2575 | 0.2541 |
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- | No log | 6.0 | 96 | 0.2541 | 0.2575 | 0.2541 |
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- | No log | 6.125 | 98 | 0.2569 | 0.2609 | 0.2569 |
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- | No log | 6.25 | 100 | 0.2577 | 0.2609 | 0.2577 |
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- | No log | 6.375 | 102 | 0.2619 | 0.2609 | 0.2619 |
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- | No log | 6.5 | 104 | 0.2736 | 0.2575 | 0.2736 |
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- | No log | 6.625 | 106 | 0.2782 | 0.2575 | 0.2782 |
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- | No log | 6.75 | 108 | 0.2718 | 0.2793 | 0.2718 |
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- | No log | 6.875 | 110 | 0.2666 | 0.2575 | 0.2666 |
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- | No log | 7.0 | 112 | 0.2601 | 0.2575 | 0.2601 |
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- | No log | 7.125 | 114 | 0.2517 | 0.2605 | 0.2517 |
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- | No log | 7.25 | 116 | 0.2515 | 0.2641 | 0.2515 |
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- | No log | 7.375 | 118 | 0.2527 | 0.2641 | 0.2527 |
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- | No log | 7.5 | 120 | 0.2579 | 0.2565 | 0.2579 |
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- | No log | 7.625 | 122 | 0.2612 | 0.2644 | 0.2612 |
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- | No log | 7.75 | 124 | 0.2592 | 0.2644 | 0.2592 |
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- | No log | 7.875 | 126 | 0.2572 | 0.2682 | 0.2572 |
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- | No log | 8.0 | 128 | 0.2594 | 0.2682 | 0.2594 |
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- | No log | 8.125 | 130 | 0.2600 | 0.2682 | 0.2600 |
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- | No log | 8.25 | 132 | 0.2633 | 0.2609 | 0.2633 |
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- | No log | 8.375 | 134 | 0.2691 | 0.2496 | 0.2691 |
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- | No log | 8.5 | 136 | 0.2714 | 0.2426 | 0.2714 |
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- | No log | 8.625 | 138 | 0.2651 | 0.2609 | 0.2651 |
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- | No log | 8.75 | 140 | 0.2593 | 0.2682 | 0.2593 |
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- | No log | 8.875 | 142 | 0.2587 | 0.2682 | 0.2587 |
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- | No log | 9.0 | 144 | 0.2587 | 0.2682 | 0.2587 |
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- | No log | 9.125 | 146 | 0.2620 | 0.2682 | 0.2620 |
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- | No log | 9.25 | 148 | 0.2666 | 0.2570 | 0.2666 |
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- | No log | 9.375 | 150 | 0.2697 | 0.2570 | 0.2697 |
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- | No log | 9.5 | 152 | 0.2714 | 0.2570 | 0.2714 |
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- | No log | 9.625 | 154 | 0.2724 | 0.2531 | 0.2724 |
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- | No log | 9.75 | 156 | 0.2735 | 0.2458 | 0.2735 |
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- | No log | 9.875 | 158 | 0.2736 | 0.2531 | 0.2736 |
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- | No log | 10.0 | 160 | 0.2737 | 0.2531 | 0.2737 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task7_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_relevance_task7_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: 0.4397
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+ - Qwk: 0.1488
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+ - Mse: 0.4393
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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 | 0.125 | 2 | 0.7246 | 0.0092 | 0.7226 |
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+ | No log | 0.25 | 4 | 0.3923 | 0.1169 | 0.3915 |
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+ | No log | 0.375 | 6 | 0.3543 | 0.0420 | 0.3537 |
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+ | No log | 0.5 | 8 | 0.3794 | 0.1151 | 0.3788 |
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+ | No log | 0.625 | 10 | 0.3085 | 0.0822 | 0.3084 |
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+ | No log | 0.75 | 12 | 0.2791 | 0.0429 | 0.2796 |
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+ | No log | 0.875 | 14 | 0.2793 | 0.0732 | 0.2799 |
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+ | No log | 1.0 | 16 | 0.2798 | 0.0822 | 0.2804 |
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+ | No log | 1.125 | 18 | 0.2748 | 0.1450 | 0.2754 |
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+ | No log | 1.25 | 20 | 0.2618 | 0.1769 | 0.2623 |
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+ | No log | 1.375 | 22 | 0.2610 | 0.2119 | 0.2614 |
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+ | No log | 1.5 | 24 | 0.2714 | 0.2099 | 0.2716 |
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+ | No log | 1.625 | 26 | 0.2877 | 0.2282 | 0.2877 |
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+ | No log | 1.75 | 28 | 0.3085 | 0.2170 | 0.3085 |
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+ | No log | 1.875 | 30 | 0.2818 | 0.2521 | 0.2819 |
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+ | No log | 2.0 | 32 | 0.2704 | 0.2285 | 0.2706 |
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+ | No log | 2.125 | 34 | 0.2630 | 0.2177 | 0.2635 |
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+ | No log | 2.25 | 36 | 0.2577 | 0.1930 | 0.2582 |
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+ | No log | 2.375 | 38 | 0.2575 | 0.2186 | 0.2579 |
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+ | No log | 2.5 | 40 | 0.2613 | 0.2282 | 0.2617 |
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+ | No log | 2.625 | 42 | 0.2766 | 0.2044 | 0.2769 |
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+ | No log | 2.75 | 44 | 0.2809 | 0.2091 | 0.2811 |
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+ | No log | 2.875 | 46 | 0.2689 | 0.2194 | 0.2691 |
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+ | No log | 3.0 | 48 | 0.2629 | 0.2198 | 0.2632 |
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+ | No log | 3.125 | 50 | 0.2671 | 0.2133 | 0.2672 |
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+ | No log | 3.25 | 52 | 0.2896 | 0.2170 | 0.2895 |
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+ | No log | 3.375 | 54 | 0.3099 | 0.2118 | 0.3097 |
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+ | No log | 3.5 | 56 | 0.2867 | 0.2181 | 0.2867 |
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+ | No log | 3.625 | 58 | 0.2681 | 0.2108 | 0.2683 |
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+ | No log | 3.75 | 60 | 0.2670 | 0.2042 | 0.2674 |
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+ | No log | 3.875 | 62 | 0.2777 | 0.2220 | 0.2780 |
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+ | No log | 4.0 | 64 | 0.2823 | 0.2220 | 0.2826 |
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+ | No log | 4.125 | 66 | 0.2925 | 0.2150 | 0.2927 |
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+ | No log | 4.25 | 68 | 0.3165 | 0.2285 | 0.3164 |
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+ | No log | 4.375 | 70 | 0.3340 | 0.2156 | 0.3337 |
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+ | No log | 4.5 | 72 | 0.3690 | 0.1876 | 0.3685 |
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+ | No log | 4.625 | 74 | 0.3812 | 0.1800 | 0.3806 |
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+ | No log | 4.75 | 76 | 0.3599 | 0.1954 | 0.3594 |
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+ | No log | 4.875 | 78 | 0.3297 | 0.2097 | 0.3294 |
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+ | No log | 5.0 | 80 | 0.3082 | 0.2063 | 0.3081 |
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+ | No log | 5.125 | 82 | 0.2990 | 0.2193 | 0.2991 |
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+ | No log | 5.25 | 84 | 0.3004 | 0.2193 | 0.3005 |
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+ | No log | 5.375 | 86 | 0.3010 | 0.2140 | 0.3011 |
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+ | No log | 5.5 | 88 | 0.3297 | 0.1814 | 0.3298 |
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+ | No log | 5.625 | 90 | 0.3943 | 0.1785 | 0.3943 |
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+ | No log | 5.75 | 92 | 0.4229 | 0.1592 | 0.4228 |
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+ | No log | 5.875 | 94 | 0.3892 | 0.1719 | 0.3892 |
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+ | No log | 6.0 | 96 | 0.3418 | 0.1836 | 0.3418 |
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+ | No log | 6.125 | 98 | 0.3361 | 0.1932 | 0.3360 |
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+ | No log | 6.25 | 100 | 0.3641 | 0.1930 | 0.3638 |
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+ | No log | 6.375 | 102 | 0.3934 | 0.1844 | 0.3930 |
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+ | No log | 6.5 | 104 | 0.3956 | 0.1915 | 0.3953 |
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+ | No log | 6.625 | 106 | 0.3700 | 0.2006 | 0.3700 |
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+ | No log | 6.75 | 108 | 0.3683 | 0.1800 | 0.3684 |
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+ | No log | 6.875 | 110 | 0.3757 | 0.1785 | 0.3758 |
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+ | No log | 7.0 | 112 | 0.4066 | 0.1688 | 0.4066 |
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+ | No log | 7.125 | 114 | 0.4152 | 0.1695 | 0.4151 |
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+ | No log | 7.25 | 116 | 0.3917 | 0.1790 | 0.3917 |
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+ | No log | 7.375 | 118 | 0.3540 | 0.1833 | 0.3542 |
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+ | No log | 7.5 | 120 | 0.3449 | 0.1998 | 0.3451 |
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+ | No log | 7.625 | 122 | 0.3587 | 0.1955 | 0.3588 |
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+ | No log | 7.75 | 124 | 0.3969 | 0.1807 | 0.3968 |
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+ | No log | 7.875 | 126 | 0.4580 | 0.1405 | 0.4577 |
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+ | No log | 8.0 | 128 | 0.5018 | 0.1433 | 0.5013 |
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+ | No log | 8.125 | 130 | 0.5002 | 0.1433 | 0.4997 |
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+ | No log | 8.25 | 132 | 0.4689 | 0.1442 | 0.4684 |
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+ | No log | 8.375 | 134 | 0.4386 | 0.1488 | 0.4382 |
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+ | No log | 8.5 | 136 | 0.4174 | 0.1550 | 0.4171 |
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+ | No log | 8.625 | 138 | 0.4152 | 0.1613 | 0.4149 |
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+ | No log | 8.75 | 140 | 0.4293 | 0.1550 | 0.4290 |
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+ | No log | 8.875 | 142 | 0.4512 | 0.1427 | 0.4508 |
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+ | No log | 9.0 | 144 | 0.4641 | 0.1405 | 0.4637 |
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+ | No log | 9.125 | 146 | 0.4566 | 0.1427 | 0.4562 |
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+ | No log | 9.25 | 148 | 0.4432 | 0.1427 | 0.4429 |
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+ | No log | 9.375 | 150 | 0.4330 | 0.1550 | 0.4327 |
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+ | No log | 9.5 | 152 | 0.4301 | 0.1613 | 0.4298 |
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+ | No log | 9.625 | 154 | 0.4343 | 0.1550 | 0.4340 |
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+ | No log | 9.75 | 156 | 0.4358 | 0.1550 | 0.4354 |
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+ | No log | 9.875 | 158 | 0.4385 | 0.1488 | 0.4381 |
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+ | No log | 10.0 | 160 | 0.4397 | 0.1488 | 0.4393 |
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  ### Framework versions