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arabert_cross_development_task1_fold1

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bert
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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_development_task1_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_development_task1_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: 0.8306
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- - Qwk: 0.2565
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- - Mse: 0.8306
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  ## Model description
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@@ -45,83 +45,88 @@ 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 | 4.0034 | -0.0039 | 4.0034 |
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- | No log | 0.2667 | 4 | 1.7572 | 0.0385 | 1.7572 |
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- | No log | 0.4 | 6 | 0.8795 | 0.1253 | 0.8795 |
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- | No log | 0.5333 | 8 | 1.0722 | 0.1468 | 1.0722 |
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- | No log | 0.6667 | 10 | 1.9981 | 0.0739 | 1.9981 |
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- | No log | 0.8 | 12 | 1.4228 | 0.1298 | 1.4228 |
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- | No log | 0.9333 | 14 | 0.7120 | 0.1720 | 0.7120 |
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- | No log | 1.0667 | 16 | 0.5182 | 0.2951 | 0.5182 |
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- | No log | 1.2 | 18 | 0.6133 | 0.2736 | 0.6133 |
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- | No log | 1.3333 | 20 | 1.1336 | 0.1776 | 1.1336 |
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- | No log | 1.4667 | 22 | 1.2656 | 0.1714 | 1.2656 |
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- | No log | 1.6 | 24 | 0.8675 | 0.2380 | 0.8675 |
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- | No log | 1.7333 | 26 | 0.5730 | 0.3050 | 0.5730 |
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- | No log | 1.8667 | 28 | 0.5924 | 0.2784 | 0.5924 |
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- | No log | 2.0 | 30 | 0.6861 | 0.2120 | 0.6861 |
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- | No log | 2.1333 | 32 | 0.8867 | 0.2029 | 0.8867 |
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- | No log | 2.2667 | 34 | 0.9172 | 0.2121 | 0.9172 |
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- | No log | 2.4 | 36 | 0.7721 | 0.2159 | 0.7721 |
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- | No log | 2.5333 | 38 | 0.8001 | 0.2277 | 0.8001 |
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- | No log | 2.6667 | 40 | 0.8684 | 0.2498 | 0.8684 |
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- | No log | 2.8 | 42 | 0.9570 | 0.2264 | 0.9570 |
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- | No log | 2.9333 | 44 | 0.8803 | 0.2439 | 0.8803 |
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- | No log | 3.0667 | 46 | 0.7435 | 0.2799 | 0.7435 |
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- | No log | 3.2 | 48 | 0.6805 | 0.3082 | 0.6805 |
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- | No log | 3.3333 | 50 | 0.8424 | 0.2730 | 0.8424 |
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- | No log | 3.4667 | 52 | 0.8402 | 0.2670 | 0.8402 |
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- | No log | 3.6 | 54 | 0.8115 | 0.2861 | 0.8115 |
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- | No log | 3.7333 | 56 | 0.8179 | 0.2776 | 0.8179 |
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- | No log | 3.8667 | 58 | 0.7692 | 0.2822 | 0.7692 |
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- | No log | 4.0 | 60 | 0.6605 | 0.2944 | 0.6605 |
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- | No log | 4.1333 | 62 | 0.6724 | 0.3033 | 0.6724 |
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- | No log | 4.2667 | 64 | 0.7918 | 0.2700 | 0.7918 |
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- | No log | 4.4 | 66 | 0.9373 | 0.2649 | 0.9373 |
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- | No log | 4.5333 | 68 | 0.8734 | 0.2482 | 0.8734 |
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- | No log | 4.6667 | 70 | 0.6994 | 0.2866 | 0.6994 |
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- | No log | 4.8 | 72 | 0.5761 | 0.3307 | 0.5761 |
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- | No log | 4.9333 | 74 | 0.6497 | 0.2879 | 0.6497 |
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- | No log | 5.0667 | 76 | 0.7333 | 0.2628 | 0.7333 |
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- | No log | 5.2 | 78 | 1.0341 | 0.2345 | 1.0341 |
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- | No log | 5.3333 | 80 | 1.1378 | 0.2214 | 1.1378 |
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- | No log | 5.4667 | 82 | 0.9255 | 0.2527 | 0.9255 |
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- | No log | 5.6 | 84 | 0.6589 | 0.3108 | 0.6589 |
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- | No log | 5.7333 | 86 | 0.5709 | 0.3576 | 0.5709 |
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- | No log | 5.8667 | 88 | 0.6392 | 0.2982 | 0.6392 |
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- | No log | 6.0 | 90 | 0.7919 | 0.2436 | 0.7919 |
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- | No log | 6.1333 | 92 | 0.7855 | 0.2412 | 0.7855 |
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- | No log | 6.2667 | 94 | 0.6800 | 0.2919 | 0.6800 |
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- | No log | 6.4 | 96 | 0.6850 | 0.2998 | 0.6850 |
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- | No log | 6.5333 | 98 | 0.8473 | 0.2545 | 0.8473 |
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- | No log | 6.6667 | 100 | 0.9780 | 0.2417 | 0.9780 |
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- | No log | 6.8 | 102 | 0.9663 | 0.2331 | 0.9663 |
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- | No log | 6.9333 | 104 | 0.8213 | 0.2337 | 0.8213 |
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- | No log | 7.0667 | 106 | 0.6942 | 0.2789 | 0.6942 |
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- | No log | 7.2 | 108 | 0.7119 | 0.2738 | 0.7119 |
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- | No log | 7.3333 | 110 | 0.8067 | 0.2517 | 0.8067 |
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- | No log | 7.4667 | 112 | 0.8998 | 0.2447 | 0.8998 |
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- | No log | 7.6 | 114 | 0.9907 | 0.2199 | 0.9907 |
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- | No log | 7.7333 | 116 | 0.9290 | 0.2364 | 0.9290 |
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- | No log | 7.8667 | 118 | 0.7925 | 0.2551 | 0.7925 |
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- | No log | 8.0 | 120 | 0.7137 | 0.2738 | 0.7137 |
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- | No log | 8.1333 | 122 | 0.7202 | 0.2753 | 0.7202 |
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- | No log | 8.2667 | 124 | 0.7738 | 0.2663 | 0.7738 |
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- | No log | 8.4 | 126 | 0.8078 | 0.2539 | 0.8078 |
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- | No log | 8.5333 | 128 | 0.8794 | 0.2516 | 0.8794 |
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- | No log | 8.6667 | 130 | 0.9809 | 0.2362 | 0.9809 |
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- | No log | 8.8 | 132 | 1.0066 | 0.2362 | 1.0066 |
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- | No log | 8.9333 | 134 | 0.9524 | 0.2397 | 0.9524 |
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- | No log | 9.0667 | 136 | 0.8849 | 0.2464 | 0.8849 |
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- | No log | 9.2 | 138 | 0.8285 | 0.2565 | 0.8285 |
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- | No log | 9.3333 | 140 | 0.7806 | 0.2545 | 0.7806 |
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- | No log | 9.4667 | 142 | 0.7707 | 0.2569 | 0.7707 |
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- | No log | 9.6 | 144 | 0.7836 | 0.2545 | 0.7836 |
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- | No log | 9.7333 | 146 | 0.8063 | 0.2550 | 0.8063 |
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- | No log | 9.8667 | 148 | 0.8258 | 0.2565 | 0.8258 |
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- | No log | 10.0 | 150 | 0.8306 | 0.2565 | 0.8306 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_development_task1_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_development_task1_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: 0.7152
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+ - Qwk: 0.1109
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+ - Mse: 0.7153
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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 | 0.125 | 2 | 5.0133 | -0.0040 | 5.0069 |
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+ | No log | 0.25 | 4 | 1.7271 | 0.0220 | 1.7233 |
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+ | No log | 0.375 | 6 | 0.6069 | 0.0575 | 0.6049 |
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+ | No log | 0.5 | 8 | 0.6108 | 0.0838 | 0.6102 |
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+ | No log | 0.625 | 10 | 0.6811 | -0.0132 | 0.6805 |
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+ | No log | 0.75 | 12 | 0.6094 | 0.1119 | 0.6084 |
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+ | No log | 0.875 | 14 | 0.6389 | 0.0138 | 0.6386 |
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+ | No log | 1.0 | 16 | 0.6607 | -0.0302 | 0.6606 |
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+ | No log | 1.125 | 18 | 0.8561 | 0.0 | 0.8561 |
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+ | No log | 1.25 | 20 | 0.8772 | 0.0192 | 0.8774 |
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+ | No log | 1.375 | 22 | 0.6488 | 0.1233 | 0.6484 |
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+ | No log | 1.5 | 24 | 0.6095 | 0.0553 | 0.6090 |
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+ | No log | 1.625 | 26 | 0.8548 | 0.0249 | 0.8549 |
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+ | No log | 1.75 | 28 | 0.8236 | 0.0 | 0.8237 |
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+ | No log | 1.875 | 30 | 0.6385 | 0.0263 | 0.6382 |
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+ | No log | 2.0 | 32 | 0.6856 | -0.0056 | 0.6854 |
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+ | No log | 2.125 | 34 | 0.7166 | 0.0 | 0.7165 |
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+ | No log | 2.25 | 36 | 0.6505 | 0.0135 | 0.6503 |
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+ | No log | 2.375 | 38 | 0.6867 | 0.0 | 0.6865 |
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+ | No log | 2.5 | 40 | 0.7602 | 0.0 | 0.7602 |
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+ | No log | 2.625 | 42 | 0.7896 | 0.0 | 0.7897 |
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+ | No log | 2.75 | 44 | 0.8485 | 0.0 | 0.8487 |
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+ | No log | 2.875 | 46 | 0.8089 | 0.0 | 0.8090 |
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+ | No log | 3.0 | 48 | 0.8838 | 0.0 | 0.8841 |
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+ | No log | 3.125 | 50 | 1.0443 | 0.0 | 1.0448 |
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+ | No log | 3.25 | 52 | 1.2312 | 0.0 | 1.2319 |
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+ | No log | 3.375 | 54 | 1.2836 | 0.0 | 1.2843 |
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+ | No log | 3.5 | 56 | 1.0837 | 0.0 | 1.0842 |
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+ | No log | 3.625 | 58 | 0.9529 | 0.0 | 0.9532 |
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+ | No log | 3.75 | 60 | 0.9030 | 0.0 | 0.9032 |
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+ | No log | 3.875 | 62 | 0.9117 | 0.0 | 0.9119 |
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+ | No log | 4.0 | 64 | 0.8372 | 0.0 | 0.8373 |
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+ | No log | 4.125 | 66 | 0.8288 | 0.0 | 0.8289 |
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+ | No log | 4.25 | 68 | 0.7667 | 0.0 | 0.7667 |
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+ | No log | 4.375 | 70 | 0.8226 | 0.0 | 0.8228 |
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+ | No log | 4.5 | 72 | 0.9046 | 0.0 | 0.9050 |
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+ | No log | 4.625 | 74 | 1.1055 | 0.0 | 1.1061 |
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+ | No log | 4.75 | 76 | 1.1209 | 0.0 | 1.1216 |
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+ | No log | 4.875 | 78 | 0.9195 | 0.0 | 0.9199 |
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+ | No log | 5.0 | 80 | 0.7954 | 0.0554 | 0.7956 |
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+ | No log | 5.125 | 82 | 0.8199 | 0.0 | 0.8203 |
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+ | No log | 5.25 | 84 | 0.6997 | 0.1731 | 0.6999 |
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+ | No log | 5.375 | 86 | 0.6765 | 0.1731 | 0.6766 |
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+ | No log | 5.5 | 88 | 0.8095 | 0.0554 | 0.8099 |
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+ | No log | 5.625 | 90 | 0.7989 | 0.0554 | 0.7992 |
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+ | No log | 5.75 | 92 | 0.7088 | 0.1731 | 0.7089 |
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+ | No log | 5.875 | 94 | 0.8201 | 0.0554 | 0.8205 |
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+ | No log | 6.0 | 96 | 1.0195 | 0.0 | 1.0201 |
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+ | No log | 6.125 | 98 | 1.0328 | 0.0 | 1.0335 |
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+ | No log | 6.25 | 100 | 0.9344 | 0.0 | 0.9349 |
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+ | No log | 6.375 | 102 | 0.7485 | 0.0906 | 0.7487 |
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+ | No log | 6.5 | 104 | 0.6810 | 0.1387 | 0.6811 |
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+ | No log | 6.625 | 106 | 0.7638 | 0.0672 | 0.7640 |
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+ | No log | 6.75 | 108 | 0.9339 | 0.0 | 0.9342 |
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+ | No log | 6.875 | 110 | 0.9824 | 0.0 | 0.9828 |
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+ | No log | 7.0 | 112 | 0.9198 | 0.0 | 0.9202 |
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+ | No log | 7.125 | 114 | 0.8078 | 0.0554 | 0.8080 |
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+ | No log | 7.25 | 116 | 0.6480 | 0.1412 | 0.6480 |
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+ | No log | 7.375 | 118 | 0.6108 | 0.1780 | 0.6107 |
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+ | No log | 7.5 | 120 | 0.6581 | 0.1109 | 0.6581 |
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+ | No log | 7.625 | 122 | 0.7813 | 0.0554 | 0.7815 |
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+ | No log | 7.75 | 124 | 0.8870 | 0.0 | 0.8873 |
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+ | No log | 7.875 | 126 | 0.9244 | 0.0 | 0.9247 |
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+ | No log | 8.0 | 128 | 0.9045 | 0.0554 | 0.9048 |
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+ | No log | 8.125 | 130 | 0.8522 | 0.0554 | 0.8524 |
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+ | No log | 8.25 | 132 | 0.8434 | 0.0554 | 0.8436 |
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+ | No log | 8.375 | 134 | 0.8530 | 0.0554 | 0.8532 |
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+ | No log | 8.5 | 136 | 0.8770 | 0.0554 | 0.8772 |
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+ | No log | 8.625 | 138 | 0.8451 | 0.0554 | 0.8453 |
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+ | No log | 8.75 | 140 | 0.8325 | 0.0554 | 0.8327 |
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+ | No log | 8.875 | 142 | 0.8378 | 0.0554 | 0.8380 |
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+ | No log | 9.0 | 144 | 0.8214 | 0.0554 | 0.8216 |
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+ | No log | 9.125 | 146 | 0.7888 | 0.0554 | 0.7890 |
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+ | No log | 9.25 | 148 | 0.7536 | 0.0376 | 0.7537 |
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+ | No log | 9.375 | 150 | 0.7389 | 0.0612 | 0.7390 |
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+ | No log | 9.5 | 152 | 0.7209 | 0.0844 | 0.7210 |
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+ | No log | 9.625 | 154 | 0.7172 | 0.1232 | 0.7173 |
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+ | No log | 9.75 | 156 | 0.7125 | 0.1109 | 0.7126 |
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+ | No log | 9.875 | 158 | 0.7149 | 0.1109 | 0.7150 |
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+ | No log | 10.0 | 160 | 0.7152 | 0.1109 | 0.7153 |
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  ### Framework versions