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arabert_cross_relevance_task5_fold0

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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_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_task4_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: 0.3394
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- - Qwk: 0.1601
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- - Mse: 0.3398
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  ## Model description
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@@ -47,96 +47,81 @@ 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 | 0.1111 | 2 | 0.4458 | 0.0318 | 0.4461 |
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- | No log | 0.2222 | 4 | 0.3469 | 0.0319 | 0.3472 |
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- | No log | 0.3333 | 6 | 0.3536 | 0.0805 | 0.3537 |
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- | No log | 0.4444 | 8 | 0.3107 | 0.0717 | 0.3106 |
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- | No log | 0.5556 | 10 | 0.2972 | 0.1151 | 0.2971 |
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- | No log | 0.6667 | 12 | 0.2762 | 0.1226 | 0.2762 |
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- | No log | 0.7778 | 14 | 0.2644 | 0.1492 | 0.2647 |
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- | No log | 0.8889 | 16 | 0.2552 | 0.1559 | 0.2557 |
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- | No log | 1.0 | 18 | 0.2658 | 0.2351 | 0.2661 |
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- | No log | 1.1111 | 20 | 0.2702 | 0.2761 | 0.2706 |
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- | No log | 1.2222 | 22 | 0.2662 | 0.2796 | 0.2669 |
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- | No log | 1.3333 | 24 | 0.2499 | 0.2669 | 0.2508 |
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- | No log | 1.4444 | 26 | 0.2460 | 0.2651 | 0.2468 |
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- | No log | 1.5556 | 28 | 0.2523 | 0.2545 | 0.2531 |
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- | No log | 1.6667 | 30 | 0.2554 | 0.2137 | 0.2561 |
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- | No log | 1.7778 | 32 | 0.2471 | 0.2220 | 0.2478 |
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- | No log | 1.8889 | 34 | 0.2416 | 0.2899 | 0.2423 |
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- | No log | 2.0 | 36 | 0.2485 | 0.2753 | 0.2491 |
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- | No log | 2.1111 | 38 | 0.2427 | 0.2134 | 0.2433 |
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- | No log | 2.2222 | 40 | 0.2377 | 0.2055 | 0.2383 |
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- | No log | 2.3333 | 42 | 0.2333 | 0.2092 | 0.2338 |
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- | No log | 2.4444 | 44 | 0.2390 | 0.2332 | 0.2394 |
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- | No log | 2.5556 | 46 | 0.2482 | 0.2477 | 0.2487 |
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- | No log | 2.6667 | 48 | 0.2585 | 0.2256 | 0.2591 |
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- | No log | 2.7778 | 50 | 0.2626 | 0.2812 | 0.2633 |
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- | No log | 2.8889 | 52 | 0.2502 | 0.2684 | 0.2508 |
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- | No log | 3.0 | 54 | 0.2402 | 0.1962 | 0.2407 |
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- | No log | 3.1111 | 56 | 0.2434 | 0.1883 | 0.2439 |
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- | No log | 3.2222 | 58 | 0.2516 | 0.2024 | 0.2522 |
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- | No log | 3.3333 | 60 | 0.2671 | 0.3187 | 0.2678 |
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- | No log | 3.4444 | 62 | 0.2665 | 0.2324 | 0.2672 |
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- | No log | 3.5556 | 64 | 0.2719 | 0.1977 | 0.2725 |
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- | No log | 3.6667 | 66 | 0.2689 | 0.2130 | 0.2695 |
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- | No log | 3.7778 | 68 | 0.2612 | 0.2140 | 0.2618 |
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- | No log | 3.8889 | 70 | 0.2566 | 0.2395 | 0.2572 |
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- | No log | 4.0 | 72 | 0.2553 | 0.2583 | 0.2560 |
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- | No log | 4.1111 | 74 | 0.2604 | 0.2476 | 0.2610 |
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- | No log | 4.2222 | 76 | 0.2643 | 0.2402 | 0.2649 |
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- | No log | 4.3333 | 78 | 0.2719 | 0.2220 | 0.2725 |
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- | No log | 4.4444 | 80 | 0.2816 | 0.1895 | 0.2822 |
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- | No log | 4.5556 | 82 | 0.2776 | 0.2106 | 0.2783 |
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- | No log | 4.6667 | 84 | 0.2758 | 0.2275 | 0.2765 |
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- | No log | 4.7778 | 86 | 0.2876 | 0.2033 | 0.2882 |
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- | No log | 4.8889 | 88 | 0.3127 | 0.1941 | 0.3132 |
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- | No log | 5.0 | 90 | 0.3256 | 0.1643 | 0.3260 |
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- | No log | 5.1111 | 92 | 0.3061 | 0.1895 | 0.3065 |
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- | No log | 5.2222 | 94 | 0.2811 | 0.2186 | 0.2816 |
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- | No log | 5.3333 | 96 | 0.2823 | 0.2186 | 0.2827 |
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- | No log | 5.4444 | 98 | 0.2910 | 0.2137 | 0.2913 |
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- | No log | 5.5556 | 100 | 0.3094 | 0.2076 | 0.3096 |
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- | No log | 5.6667 | 102 | 0.3152 | 0.2118 | 0.3154 |
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- | No log | 5.7778 | 104 | 0.3477 | 0.1897 | 0.3478 |
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- | No log | 5.8889 | 106 | 0.3597 | 0.1780 | 0.3598 |
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- | No log | 6.0 | 108 | 0.3476 | 0.1780 | 0.3479 |
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- | No log | 6.1111 | 110 | 0.3267 | 0.1992 | 0.3272 |
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- | No log | 6.2222 | 112 | 0.3089 | 0.2125 | 0.3095 |
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- | No log | 6.3333 | 114 | 0.3128 | 0.1908 | 0.3134 |
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- | No log | 6.4444 | 116 | 0.3211 | 0.1742 | 0.3215 |
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- | No log | 6.5556 | 118 | 0.3339 | 0.1590 | 0.3343 |
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- | No log | 6.6667 | 120 | 0.3109 | 0.1741 | 0.3113 |
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- | No log | 6.7778 | 122 | 0.2827 | 0.2060 | 0.2832 |
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- | No log | 6.8889 | 124 | 0.2767 | 0.2060 | 0.2772 |
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- | No log | 7.0 | 126 | 0.2730 | 0.2130 | 0.2736 |
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- | No log | 7.1111 | 128 | 0.2806 | 0.2009 | 0.2812 |
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- | No log | 7.2222 | 130 | 0.2954 | 0.2098 | 0.2959 |
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- | No log | 7.3333 | 132 | 0.3020 | 0.2033 | 0.3025 |
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- | No log | 7.4444 | 134 | 0.3007 | 0.2098 | 0.3012 |
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- | No log | 7.5556 | 136 | 0.2958 | 0.2054 | 0.2964 |
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- | No log | 7.6667 | 138 | 0.3086 | 0.1781 | 0.3091 |
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- | No log | 7.7778 | 140 | 0.3217 | 0.1623 | 0.3222 |
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- | No log | 7.8889 | 142 | 0.3310 | 0.1677 | 0.3315 |
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- | No log | 8.0 | 144 | 0.3269 | 0.1668 | 0.3274 |
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- | No log | 8.1111 | 146 | 0.3173 | 0.1682 | 0.3179 |
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- | No log | 8.2222 | 148 | 0.3173 | 0.1682 | 0.3178 |
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- | No log | 8.3333 | 150 | 0.3261 | 0.1634 | 0.3266 |
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- | No log | 8.4444 | 152 | 0.3255 | 0.1634 | 0.3259 |
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- | No log | 8.5556 | 154 | 0.3229 | 0.1711 | 0.3234 |
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- | No log | 8.6667 | 156 | 0.3219 | 0.1668 | 0.3225 |
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- | No log | 8.7778 | 158 | 0.3264 | 0.1634 | 0.3269 |
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- | No log | 8.8889 | 160 | 0.3314 | 0.1558 | 0.3319 |
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- | No log | 9.0 | 162 | 0.3302 | 0.1558 | 0.3307 |
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- | No log | 9.1111 | 164 | 0.3292 | 0.1601 | 0.3297 |
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- | No log | 9.2222 | 166 | 0.3320 | 0.1601 | 0.3325 |
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- | No log | 9.3333 | 168 | 0.3371 | 0.1601 | 0.3376 |
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- | No log | 9.4444 | 170 | 0.3396 | 0.1601 | 0.3400 |
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- | No log | 9.5556 | 172 | 0.3414 | 0.1601 | 0.3418 |
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- | No log | 9.6667 | 174 | 0.3407 | 0.1601 | 0.3411 |
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- | No log | 9.7778 | 176 | 0.3400 | 0.1601 | 0.3404 |
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- | No log | 9.8889 | 178 | 0.3392 | 0.1601 | 0.3396 |
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- | No log | 10.0 | 180 | 0.3394 | 0.1601 | 0.3398 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task5_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_task5_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: 0.2622
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+ - Qwk: 0.1283
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+ - Mse: 0.2622
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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 | 0.1333 | 2 | 0.4161 | 0.0028 | 0.4160 |
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+ | No log | 0.2667 | 4 | 0.3774 | 0.0409 | 0.3772 |
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+ | No log | 0.4 | 6 | 0.3195 | 0.0376 | 0.3194 |
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+ | No log | 0.5333 | 8 | 0.3532 | 0.0623 | 0.3530 |
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+ | No log | 0.6667 | 10 | 0.3030 | 0.0611 | 0.3030 |
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+ | No log | 0.8 | 12 | 0.2649 | 0.0787 | 0.2649 |
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+ | No log | 0.9333 | 14 | 0.2826 | 0.0885 | 0.2828 |
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+ | No log | 1.0667 | 16 | 0.2985 | 0.0923 | 0.2988 |
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+ | No log | 1.2 | 18 | 0.2796 | 0.1040 | 0.2799 |
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+ | No log | 1.3333 | 20 | 0.2595 | 0.0929 | 0.2597 |
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+ | No log | 1.4667 | 22 | 0.2462 | 0.0852 | 0.2464 |
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+ | No log | 1.6 | 24 | 0.2480 | 0.0852 | 0.2481 |
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+ | No log | 1.7333 | 26 | 0.2542 | 0.0890 | 0.2544 |
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+ | No log | 1.8667 | 28 | 0.2586 | 0.0997 | 0.2588 |
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+ | No log | 2.0 | 30 | 0.2670 | 0.1014 | 0.2673 |
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+ | No log | 2.1333 | 32 | 0.2648 | 0.1105 | 0.2650 |
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+ | No log | 2.2667 | 34 | 0.2632 | 0.1459 | 0.2634 |
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+ | No log | 2.4 | 36 | 0.2674 | 0.1834 | 0.2676 |
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+ | No log | 2.5333 | 38 | 0.2628 | 0.1703 | 0.2629 |
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+ | No log | 2.6667 | 40 | 0.2527 | 0.1229 | 0.2528 |
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+ | No log | 2.8 | 42 | 0.2484 | 0.1022 | 0.2484 |
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+ | No log | 2.9333 | 44 | 0.2561 | 0.0997 | 0.2562 |
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+ | No log | 3.0667 | 46 | 0.2688 | 0.0846 | 0.2689 |
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+ | No log | 3.2 | 48 | 0.2566 | 0.1007 | 0.2567 |
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+ | No log | 3.3333 | 50 | 0.2524 | 0.0965 | 0.2525 |
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+ | No log | 3.4667 | 52 | 0.2583 | 0.0935 | 0.2584 |
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+ | No log | 3.6 | 54 | 0.2587 | 0.1253 | 0.2588 |
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+ | No log | 3.7333 | 56 | 0.2574 | 0.1401 | 0.2575 |
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+ | No log | 3.8667 | 58 | 0.2677 | 0.1075 | 0.2678 |
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+ | No log | 4.0 | 60 | 0.2736 | 0.0953 | 0.2736 |
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+ | No log | 4.1333 | 62 | 0.2558 | 0.1301 | 0.2559 |
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+ | No log | 4.2667 | 64 | 0.2518 | 0.1067 | 0.2519 |
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+ | No log | 4.4 | 66 | 0.2551 | 0.1166 | 0.2552 |
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+ | No log | 4.5333 | 68 | 0.2520 | 0.1067 | 0.2521 |
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+ | No log | 4.6667 | 70 | 0.2540 | 0.0866 | 0.2541 |
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+ | No log | 4.8 | 72 | 0.2633 | 0.1021 | 0.2635 |
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+ | No log | 4.9333 | 74 | 0.2704 | 0.0902 | 0.2705 |
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+ | No log | 5.0667 | 76 | 0.2725 | 0.0963 | 0.2727 |
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+ | No log | 5.2 | 78 | 0.2693 | 0.1081 | 0.2694 |
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+ | No log | 5.3333 | 80 | 0.2662 | 0.1004 | 0.2663 |
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+ | No log | 5.4667 | 82 | 0.2608 | 0.1055 | 0.2609 |
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+ | No log | 5.6 | 84 | 0.2559 | 0.1013 | 0.2560 |
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+ | No log | 5.7333 | 86 | 0.2577 | 0.1078 | 0.2578 |
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+ | No log | 5.8667 | 88 | 0.2608 | 0.1146 | 0.2608 |
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+ | No log | 6.0 | 90 | 0.2533 | 0.1144 | 0.2533 |
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+ | No log | 6.1333 | 92 | 0.2490 | 0.1142 | 0.2491 |
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+ | No log | 6.2667 | 94 | 0.2520 | 0.0942 | 0.2521 |
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+ | No log | 6.4 | 96 | 0.2592 | 0.1080 | 0.2593 |
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+ | No log | 6.5333 | 98 | 0.2666 | 0.1319 | 0.2667 |
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+ | No log | 6.6667 | 100 | 0.2668 | 0.1521 | 0.2668 |
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+ | No log | 6.8 | 102 | 0.2667 | 0.1560 | 0.2667 |
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+ | No log | 6.9333 | 104 | 0.2680 | 0.1450 | 0.2681 |
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+ | No log | 7.0667 | 106 | 0.2684 | 0.1482 | 0.2685 |
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+ | No log | 7.2 | 108 | 0.2672 | 0.1529 | 0.2672 |
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+ | No log | 7.3333 | 110 | 0.2659 | 0.1721 | 0.2660 |
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+ | No log | 7.4667 | 112 | 0.2665 | 0.1614 | 0.2665 |
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+ | No log | 7.6 | 114 | 0.2656 | 0.1651 | 0.2656 |
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+ | No log | 7.7333 | 116 | 0.2636 | 0.1577 | 0.2637 |
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+ | No log | 7.8667 | 118 | 0.2610 | 0.1613 | 0.2610 |
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+ | No log | 8.0 | 120 | 0.2581 | 0.1575 | 0.2581 |
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+ | No log | 8.1333 | 122 | 0.2559 | 0.1289 | 0.2559 |
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+ | No log | 8.2667 | 124 | 0.2559 | 0.1070 | 0.2559 |
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+ | No log | 8.4 | 126 | 0.2569 | 0.1026 | 0.2569 |
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+ | No log | 8.5333 | 128 | 0.2575 | 0.1056 | 0.2575 |
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+ | No log | 8.6667 | 130 | 0.2582 | 0.1274 | 0.2582 |
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+ | No log | 8.8 | 132 | 0.2585 | 0.1272 | 0.2585 |
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+ | No log | 8.9333 | 134 | 0.2596 | 0.1306 | 0.2595 |
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+ | No log | 9.0667 | 136 | 0.2600 | 0.1101 | 0.2600 |
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+ | No log | 9.2 | 138 | 0.2608 | 0.1101 | 0.2607 |
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+ | No log | 9.3333 | 140 | 0.2612 | 0.1342 | 0.2612 |
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+ | No log | 9.4667 | 142 | 0.2617 | 0.1137 | 0.2617 |
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+ | No log | 9.6 | 144 | 0.2619 | 0.1283 | 0.2619 |
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+ | No log | 9.7333 | 146 | 0.2620 | 0.1414 | 0.2620 |
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+ | No log | 9.8667 | 148 | 0.2621 | 0.1414 | 0.2621 |
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+ | No log | 10.0 | 150 | 0.2622 | 0.1283 | 0.2622 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions