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arabert_cross_relevance_task7_fold1

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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_fold0
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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_fold0
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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: 0.2739
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- - Qwk: 0.1498
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- - Mse: 0.2741
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  ## Model description
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@@ -45,83 +45,83 @@ 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 | 0.6915 | 0.0152 | 0.6916 |
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- | No log | 0.2667 | 4 | 0.3007 | 0.0046 | 0.3008 |
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- | No log | 0.4 | 6 | 0.2606 | 0.0103 | 0.2607 |
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- | No log | 0.5333 | 8 | 0.2472 | -0.0037 | 0.2473 |
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- | No log | 0.6667 | 10 | 0.2753 | 0.0398 | 0.2754 |
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- | No log | 0.8 | 12 | 0.3087 | 0.0531 | 0.3087 |
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- | No log | 0.9333 | 14 | 0.2871 | 0.0584 | 0.2872 |
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- | No log | 1.0667 | 16 | 0.2862 | 0.0547 | 0.2864 |
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- | No log | 1.2 | 18 | 0.2778 | 0.0673 | 0.2780 |
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- | No log | 1.3333 | 20 | 0.2869 | 0.1208 | 0.2871 |
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- | No log | 1.4667 | 22 | 0.2743 | 0.0873 | 0.2746 |
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- | No log | 1.6 | 24 | 0.2612 | 0.0650 | 0.2614 |
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- | No log | 1.7333 | 26 | 0.2604 | 0.0715 | 0.2606 |
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- | No log | 1.8667 | 28 | 0.2749 | 0.0788 | 0.2752 |
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- | No log | 2.0 | 30 | 0.3010 | 0.1611 | 0.3013 |
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- | No log | 2.1333 | 32 | 0.2981 | 0.1189 | 0.2984 |
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- | No log | 2.2667 | 34 | 0.2813 | 0.1170 | 0.2815 |
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- | No log | 2.4 | 36 | 0.2636 | 0.0868 | 0.2638 |
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- | No log | 2.5333 | 38 | 0.2577 | 0.0986 | 0.2579 |
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- | No log | 2.6667 | 40 | 0.2578 | 0.0676 | 0.2580 |
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- | No log | 2.8 | 42 | 0.2611 | 0.0743 | 0.2612 |
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- | No log | 2.9333 | 44 | 0.2605 | 0.0949 | 0.2607 |
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- | No log | 3.0667 | 46 | 0.2576 | 0.0837 | 0.2578 |
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- | No log | 3.2 | 48 | 0.2526 | 0.0883 | 0.2528 |
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- | No log | 3.3333 | 50 | 0.2493 | 0.0796 | 0.2494 |
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- | No log | 3.4667 | 52 | 0.2494 | 0.0762 | 0.2495 |
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- | No log | 3.6 | 54 | 0.2509 | 0.0762 | 0.2511 |
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- | No log | 3.7333 | 56 | 0.2599 | 0.1102 | 0.2601 |
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- | No log | 3.8667 | 58 | 0.2617 | 0.1201 | 0.2619 |
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- | No log | 4.0 | 60 | 0.2569 | 0.1201 | 0.2571 |
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- | No log | 4.1333 | 62 | 0.2518 | 0.1245 | 0.2520 |
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- | No log | 4.2667 | 64 | 0.2475 | 0.1331 | 0.2476 |
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- | No log | 4.4 | 66 | 0.2458 | 0.1627 | 0.2459 |
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- | No log | 4.5333 | 68 | 0.2466 | 0.1664 | 0.2467 |
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- | No log | 4.6667 | 70 | 0.2489 | 0.1701 | 0.2490 |
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- | No log | 4.8 | 72 | 0.2533 | 0.1802 | 0.2534 |
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- | No log | 4.9333 | 74 | 0.2587 | 0.1795 | 0.2588 |
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- | No log | 5.0667 | 76 | 0.2679 | 0.1591 | 0.2681 |
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- | No log | 5.2 | 78 | 0.2741 | 0.1432 | 0.2743 |
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- | No log | 5.3333 | 80 | 0.2711 | 0.1317 | 0.2714 |
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- | No log | 5.4667 | 82 | 0.2652 | 0.1368 | 0.2654 |
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- | No log | 5.6 | 84 | 0.2681 | 0.1474 | 0.2683 |
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- | No log | 5.7333 | 86 | 0.2684 | 0.1626 | 0.2686 |
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- | No log | 5.8667 | 88 | 0.2645 | 0.1797 | 0.2647 |
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- | No log | 6.0 | 90 | 0.2589 | 0.1859 | 0.2590 |
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- | No log | 6.1333 | 92 | 0.2593 | 0.1154 | 0.2594 |
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- | No log | 6.2667 | 94 | 0.2625 | 0.1365 | 0.2626 |
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- | No log | 6.4 | 96 | 0.2688 | 0.1779 | 0.2690 |
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- | No log | 6.5333 | 98 | 0.2740 | 0.2609 | 0.2742 |
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- | No log | 6.6667 | 100 | 0.2759 | 0.2576 | 0.2760 |
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- | No log | 6.8 | 102 | 0.2726 | 0.2039 | 0.2728 |
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- | No log | 6.9333 | 104 | 0.2690 | 0.1750 | 0.2692 |
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- | No log | 7.0667 | 106 | 0.2676 | 0.1430 | 0.2678 |
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- | No log | 7.2 | 108 | 0.2660 | 0.1277 | 0.2662 |
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- | No log | 7.3333 | 110 | 0.2660 | 0.1610 | 0.2661 |
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- | No log | 7.4667 | 112 | 0.2678 | 0.1840 | 0.2679 |
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- | No log | 7.6 | 114 | 0.2687 | 0.1801 | 0.2688 |
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- | No log | 7.7333 | 116 | 0.2685 | 0.1647 | 0.2686 |
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- | No log | 7.8667 | 118 | 0.2673 | 0.1609 | 0.2675 |
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- | No log | 8.0 | 120 | 0.2674 | 0.1352 | 0.2676 |
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- | No log | 8.1333 | 122 | 0.2685 | 0.1172 | 0.2687 |
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- | No log | 8.2667 | 124 | 0.2696 | 0.1172 | 0.2697 |
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- | No log | 8.4 | 126 | 0.2705 | 0.1304 | 0.2707 |
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- | No log | 8.5333 | 128 | 0.2717 | 0.1481 | 0.2719 |
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- | No log | 8.6667 | 130 | 0.2734 | 0.1645 | 0.2736 |
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- | No log | 8.8 | 132 | 0.2747 | 0.1828 | 0.2748 |
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- | No log | 8.9333 | 134 | 0.2744 | 0.1903 | 0.2746 |
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- | No log | 9.0667 | 136 | 0.2741 | 0.1738 | 0.2742 |
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- | No log | 9.2 | 138 | 0.2734 | 0.1664 | 0.2736 |
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- | No log | 9.3333 | 140 | 0.2736 | 0.1700 | 0.2738 |
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- | No log | 9.4667 | 142 | 0.2738 | 0.1700 | 0.2739 |
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- | No log | 9.6 | 144 | 0.2739 | 0.1572 | 0.2741 |
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- | No log | 9.7333 | 146 | 0.2738 | 0.1498 | 0.2740 |
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- | No log | 9.8667 | 148 | 0.2739 | 0.1498 | 0.2741 |
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- | No log | 10.0 | 150 | 0.2739 | 0.1498 | 0.2741 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task7_fold1
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_fold1
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: 0.3047
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+ - Qwk: 0.0332
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+ - Mse: 0.3047
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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 | 0.1333 | 2 | 1.2830 | 0.0016 | 1.2830 |
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+ | No log | 0.2667 | 4 | 0.3134 | 0.0127 | 0.3134 |
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+ | No log | 0.4 | 6 | 0.1648 | 0.1104 | 0.1648 |
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+ | No log | 0.5333 | 8 | 0.1251 | 0.0517 | 0.1251 |
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+ | No log | 0.6667 | 10 | 0.2224 | 0.0017 | 0.2224 |
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+ | No log | 0.8 | 12 | 0.2590 | 0.0094 | 0.2590 |
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+ | No log | 0.9333 | 14 | 0.1796 | 0.0127 | 0.1796 |
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+ | No log | 1.0667 | 16 | 0.1308 | 0.0397 | 0.1308 |
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+ | No log | 1.2 | 18 | 0.1449 | 0.0303 | 0.1449 |
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+ | No log | 1.3333 | 20 | 0.1645 | 0.0288 | 0.1645 |
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+ | No log | 1.4667 | 22 | 0.1859 | 0.0270 | 0.1859 |
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+ | No log | 1.6 | 24 | 0.1923 | 0.0425 | 0.1923 |
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+ | No log | 1.7333 | 26 | 0.1918 | 0.0319 | 0.1918 |
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+ | No log | 1.8667 | 28 | 0.2199 | 0.0290 | 0.2199 |
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+ | No log | 2.0 | 30 | 0.2212 | 0.0273 | 0.2212 |
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+ | No log | 2.1333 | 32 | 0.1858 | 0.0273 | 0.1858 |
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+ | No log | 2.2667 | 34 | 0.1779 | 0.0270 | 0.1779 |
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+ | No log | 2.4 | 36 | 0.2133 | 0.0270 | 0.2133 |
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+ | No log | 2.5333 | 38 | 0.2467 | 0.0339 | 0.2467 |
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+ | No log | 2.6667 | 40 | 0.2211 | 0.0355 | 0.2211 |
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+ | No log | 2.8 | 42 | 0.1890 | 0.0355 | 0.1890 |
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+ | No log | 2.9333 | 44 | 0.2091 | 0.0270 | 0.2091 |
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+ | No log | 3.0667 | 46 | 0.2659 | 0.0254 | 0.2659 |
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+ | No log | 3.2 | 48 | 0.2479 | 0.0235 | 0.2479 |
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+ | No log | 3.3333 | 50 | 0.2076 | 0.0284 | 0.2076 |
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+ | No log | 3.4667 | 52 | 0.1978 | 0.0351 | 0.1978 |
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+ | No log | 3.6 | 54 | 0.2247 | 0.0334 | 0.2247 |
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+ | No log | 3.7333 | 56 | 0.2784 | 0.0319 | 0.2784 |
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+ | No log | 3.8667 | 58 | 0.2815 | 0.0217 | 0.2815 |
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+ | No log | 4.0 | 60 | 0.2597 | 0.0235 | 0.2597 |
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+ | No log | 4.1333 | 62 | 0.2093 | 0.0304 | 0.2093 |
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+ | No log | 4.2667 | 64 | 0.2137 | 0.0287 | 0.2137 |
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+ | No log | 4.4 | 66 | 0.2532 | 0.0235 | 0.2532 |
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+ | No log | 4.5333 | 68 | 0.2399 | 0.0251 | 0.2399 |
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+ | No log | 4.6667 | 70 | 0.2137 | 0.0338 | 0.2137 |
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+ | No log | 4.8 | 72 | 0.2516 | 0.0235 | 0.2516 |
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+ | No log | 4.9333 | 74 | 0.2786 | 0.0319 | 0.2786 |
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+ | No log | 5.0667 | 76 | 0.3017 | 0.0319 | 0.3017 |
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+ | No log | 5.2 | 78 | 0.2701 | 0.0235 | 0.2701 |
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+ | No log | 5.3333 | 80 | 0.2234 | 0.0301 | 0.2234 |
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+ | No log | 5.4667 | 82 | 0.2231 | 0.0301 | 0.2231 |
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+ | No log | 5.6 | 84 | 0.2419 | 0.0284 | 0.2419 |
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+ | No log | 5.7333 | 86 | 0.2839 | 0.0233 | 0.2839 |
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+ | No log | 5.8667 | 88 | 0.2964 | 0.0233 | 0.2964 |
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+ | No log | 6.0 | 90 | 0.2986 | 0.0214 | 0.2986 |
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+ | No log | 6.1333 | 92 | 0.2565 | 0.0317 | 0.2565 |
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+ | No log | 6.2667 | 94 | 0.2203 | 0.0334 | 0.2203 |
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+ | No log | 6.4 | 96 | 0.2553 | 0.0317 | 0.2553 |
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+ | No log | 6.5333 | 98 | 0.3609 | 0.0193 | 0.3609 |
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+ | No log | 6.6667 | 100 | 0.4216 | 0.0206 | 0.4216 |
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+ | No log | 6.8 | 102 | 0.3627 | 0.0225 | 0.3627 |
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+ | No log | 6.9333 | 104 | 0.2543 | 0.0317 | 0.2543 |
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+ | No log | 7.0667 | 106 | 0.2003 | 0.0312 | 0.2003 |
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+ | No log | 7.2 | 108 | 0.2014 | 0.0295 | 0.2014 |
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+ | No log | 7.3333 | 110 | 0.2374 | 0.0301 | 0.2374 |
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+ | No log | 7.4667 | 112 | 0.3176 | 0.0263 | 0.3176 |
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+ | No log | 7.6 | 114 | 0.3811 | 0.0237 | 0.3811 |
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+ | No log | 7.7333 | 116 | 0.3686 | 0.0285 | 0.3686 |
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+ | No log | 7.8667 | 118 | 0.3010 | 0.0260 | 0.3010 |
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+ | No log | 8.0 | 120 | 0.2467 | 0.0317 | 0.2467 |
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+ | No log | 8.1333 | 122 | 0.2371 | 0.0334 | 0.2371 |
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+ | No log | 8.2667 | 124 | 0.2613 | 0.0361 | 0.2613 |
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+ | No log | 8.4 | 126 | 0.2959 | 0.0310 | 0.2959 |
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+ | No log | 8.5333 | 128 | 0.3317 | 0.0225 | 0.3317 |
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+ | No log | 8.6667 | 130 | 0.3288 | 0.0240 | 0.3288 |
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+ | No log | 8.8 | 132 | 0.2998 | 0.0370 | 0.2998 |
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+ | No log | 8.9333 | 134 | 0.2797 | 0.0341 | 0.2797 |
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+ | No log | 9.0667 | 136 | 0.2625 | 0.0441 | 0.2625 |
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+ | No log | 9.2 | 138 | 0.2672 | 0.0421 | 0.2672 |
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+ | No log | 9.3333 | 140 | 0.2738 | 0.0421 | 0.2738 |
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+ | No log | 9.4667 | 142 | 0.2892 | 0.0401 | 0.2892 |
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+ | No log | 9.6 | 144 | 0.3017 | 0.0366 | 0.3017 |
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+ | No log | 9.7333 | 146 | 0.3079 | 0.0332 | 0.3079 |
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+ | No log | 9.8667 | 148 | 0.3065 | 0.0332 | 0.3065 |
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+ | No log | 10.0 | 150 | 0.3047 | 0.0332 | 0.3047 |
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  ### Framework versions