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arabert_cross_relevance_task7_fold3

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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_fold2
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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_fold2
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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: 0.3920
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- - Qwk: 0.0
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- - Mse: 0.3925
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  ## Model description
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@@ -45,88 +45,93 @@ 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 | 0.125 | 2 | 1.1351 | 0.0055 | 1.1338 |
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- | No log | 0.25 | 4 | 0.3327 | 0.0239 | 0.3327 |
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- | No log | 0.375 | 6 | 0.4966 | 0.0325 | 0.4972 |
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- | No log | 0.5 | 8 | 0.4252 | 0.0068 | 0.4257 |
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- | No log | 0.625 | 10 | 0.3269 | 0.0 | 0.3271 |
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- | No log | 0.75 | 12 | 0.3043 | 0.0 | 0.3043 |
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- | No log | 0.875 | 14 | 0.3478 | -0.0164 | 0.3479 |
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- | No log | 1.0 | 16 | 0.5150 | -0.1231 | 0.5155 |
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- | No log | 1.125 | 18 | 0.6025 | -0.0901 | 0.6032 |
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- | No log | 1.25 | 20 | 0.5883 | -0.1348 | 0.5891 |
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- | No log | 1.375 | 22 | 0.4750 | -0.0759 | 0.4757 |
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- | No log | 1.5 | 24 | 0.3601 | -0.0164 | 0.3606 |
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- | No log | 1.625 | 26 | 0.3455 | 0.0 | 0.3460 |
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- | No log | 1.75 | 28 | 0.3605 | 0.0 | 0.3611 |
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- | No log | 1.875 | 30 | 0.4021 | -0.0875 | 0.4027 |
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- | No log | 2.0 | 32 | 0.4215 | -0.0723 | 0.4221 |
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- | No log | 2.125 | 34 | 0.4273 | -0.1017 | 0.4280 |
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- | No log | 2.25 | 36 | 0.4182 | -0.0723 | 0.4188 |
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- | No log | 2.375 | 38 | 0.3673 | -0.0042 | 0.3677 |
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- | No log | 2.5 | 40 | 0.3484 | 0.0 | 0.3488 |
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- | No log | 2.625 | 42 | 0.3234 | 0.0 | 0.3237 |
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- | No log | 2.75 | 44 | 0.3167 | 0.0 | 0.3170 |
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- | No log | 2.875 | 46 | 0.3171 | 0.0 | 0.3173 |
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- | No log | 3.0 | 48 | 0.3402 | 0.0 | 0.3406 |
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- | No log | 3.125 | 50 | 0.3835 | -0.0462 | 0.3840 |
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- | No log | 3.25 | 52 | 0.3969 | -0.0631 | 0.3975 |
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- | No log | 3.375 | 54 | 0.3965 | -0.0631 | 0.3971 |
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- | No log | 3.5 | 56 | 0.3727 | -0.0085 | 0.3732 |
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- | No log | 3.625 | 58 | 0.3399 | 0.0122 | 0.3403 |
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- | No log | 3.75 | 60 | 0.3210 | 0.0122 | 0.3213 |
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- | No log | 3.875 | 62 | 0.3144 | 0.0122 | 0.3145 |
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- | No log | 4.0 | 64 | 0.3203 | 0.0122 | 0.3205 |
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- | No log | 4.125 | 66 | 0.3278 | 0.0 | 0.3281 |
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- | No log | 4.25 | 68 | 0.3425 | 0.0 | 0.3429 |
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- | No log | 4.375 | 70 | 0.3631 | -0.0085 | 0.3636 |
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- | No log | 4.5 | 72 | 0.3878 | -0.0631 | 0.3884 |
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- | No log | 4.625 | 74 | 0.3841 | -0.0631 | 0.3847 |
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- | No log | 4.75 | 76 | 0.3554 | -0.0164 | 0.3558 |
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- | No log | 4.875 | 78 | 0.3433 | 0.0 | 0.3437 |
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- | No log | 5.0 | 80 | 0.3407 | 0.0 | 0.3410 |
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- | No log | 5.125 | 82 | 0.3450 | 0.0 | 0.3453 |
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- | No log | 5.25 | 84 | 0.3491 | 0.0 | 0.3494 |
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- | No log | 5.375 | 86 | 0.3528 | 0.0 | 0.3532 |
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- | No log | 5.5 | 88 | 0.3559 | 0.0 | 0.3564 |
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- | No log | 5.625 | 90 | 0.3543 | 0.0 | 0.3547 |
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- | No log | 5.75 | 92 | 0.3489 | 0.0 | 0.3493 |
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- | No log | 5.875 | 94 | 0.3478 | 0.0 | 0.3480 |
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- | No log | 6.0 | 96 | 0.3484 | 0.0 | 0.3486 |
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- | No log | 6.125 | 98 | 0.3566 | 0.0 | 0.3568 |
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- | No log | 6.25 | 100 | 0.3544 | 0.0 | 0.3546 |
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- | No log | 6.375 | 102 | 0.3495 | 0.0 | 0.3499 |
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- | No log | 6.5 | 104 | 0.3529 | 0.0 | 0.3534 |
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- | No log | 6.625 | 106 | 0.3633 | 0.0122 | 0.3638 |
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- | No log | 6.75 | 108 | 0.3602 | 0.0122 | 0.3608 |
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- | No log | 6.875 | 110 | 0.3558 | 0.0 | 0.3563 |
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- | No log | 7.0 | 112 | 0.3542 | 0.0 | 0.3548 |
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- | No log | 7.125 | 114 | 0.3543 | 0.0122 | 0.3548 |
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- | No log | 7.25 | 116 | 0.3536 | 0.0122 | 0.3542 |
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- | No log | 7.375 | 118 | 0.3534 | 0.0122 | 0.3539 |
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- | No log | 7.5 | 120 | 0.3538 | 0.0 | 0.3543 |
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- | No log | 7.625 | 122 | 0.3553 | 0.0 | 0.3557 |
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- | No log | 7.75 | 124 | 0.3581 | 0.0 | 0.3585 |
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- | No log | 7.875 | 126 | 0.3601 | 0.0 | 0.3605 |
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- | No log | 8.0 | 128 | 0.3648 | 0.0 | 0.3652 |
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- | No log | 8.125 | 130 | 0.3658 | 0.0 | 0.3662 |
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- | No log | 8.25 | 132 | 0.3655 | 0.0 | 0.3659 |
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- | No log | 8.375 | 134 | 0.3666 | 0.0 | 0.3670 |
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- | No log | 8.5 | 136 | 0.3714 | 0.0 | 0.3718 |
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- | No log | 8.625 | 138 | 0.3763 | 0.0 | 0.3767 |
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- | No log | 8.75 | 140 | 0.3809 | 0.0 | 0.3813 |
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- | No log | 8.875 | 142 | 0.3871 | 0.0 | 0.3875 |
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- | No log | 9.0 | 144 | 0.3938 | 0.0 | 0.3941 |
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- | No log | 9.125 | 146 | 0.3971 | 0.0 | 0.3974 |
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- | No log | 9.25 | 148 | 0.3971 | 0.0 | 0.3975 |
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- | No log | 9.375 | 150 | 0.3950 | 0.0 | 0.3953 |
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- | No log | 9.5 | 152 | 0.3939 | 0.0 | 0.3943 |
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- | No log | 9.625 | 154 | 0.3921 | 0.0 | 0.3925 |
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- | No log | 9.75 | 156 | 0.3913 | 0.0 | 0.3918 |
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- | No log | 9.875 | 158 | 0.3917 | 0.0 | 0.3922 |
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- | No log | 10.0 | 160 | 0.3920 | 0.0 | 0.3925 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task7_fold3
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_fold3
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: 0.4851
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+ - Qwk: 0.0152
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+ - Mse: 0.4851
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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 | 0.1176 | 2 | 0.4468 | 0.0241 | 0.4468 |
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+ | No log | 0.2353 | 4 | 0.5293 | 0.1111 | 0.5293 |
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+ | No log | 0.3529 | 6 | 0.4293 | 0.0657 | 0.4293 |
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+ | No log | 0.4706 | 8 | 0.2782 | 0.0 | 0.2782 |
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+ | No log | 0.5882 | 10 | 0.2775 | 0.0 | 0.2775 |
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+ | No log | 0.7059 | 12 | 0.3091 | 0.0172 | 0.3091 |
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+ | No log | 0.8235 | 14 | 0.3313 | -0.0714 | 0.3313 |
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+ | No log | 0.9412 | 16 | 0.3259 | 0.0101 | 0.3259 |
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+ | No log | 1.0588 | 18 | 0.3382 | 0.0 | 0.3382 |
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+ | No log | 1.1765 | 20 | 0.3574 | -0.0135 | 0.3574 |
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+ | No log | 1.2941 | 22 | 0.3580 | -0.0274 | 0.3580 |
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+ | No log | 1.4118 | 24 | 0.4301 | 0.0 | 0.4301 |
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+ | No log | 1.5294 | 26 | 0.4619 | 0.0 | 0.4619 |
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+ | No log | 1.6471 | 28 | 0.3492 | 0.0 | 0.3492 |
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+ | No log | 1.7647 | 30 | 0.3168 | -0.0417 | 0.3168 |
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+ | No log | 1.8824 | 32 | 0.3350 | -0.0496 | 0.3350 |
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+ | No log | 2.0 | 34 | 0.2965 | 0.0203 | 0.2965 |
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+ | No log | 2.1176 | 36 | 0.2856 | 0.0 | 0.2856 |
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+ | No log | 2.2353 | 38 | 0.2924 | 0.0 | 0.2924 |
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+ | No log | 2.3529 | 40 | 0.2917 | 0.0 | 0.2917 |
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+ | No log | 2.4706 | 42 | 0.2928 | 0.0 | 0.2928 |
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+ | No log | 2.5882 | 44 | 0.2979 | -0.0616 | 0.2979 |
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+ | No log | 2.7059 | 46 | 0.3126 | 0.0 | 0.3126 |
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+ | No log | 2.8235 | 48 | 0.3738 | 0.0 | 0.3738 |
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+ | No log | 2.9412 | 50 | 0.3664 | 0.0 | 0.3664 |
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+ | No log | 3.0588 | 52 | 0.3323 | 0.0 | 0.3323 |
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+ | No log | 3.1765 | 54 | 0.3388 | 0.0 | 0.3388 |
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+ | No log | 3.2941 | 56 | 0.3765 | 0.0 | 0.3765 |
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+ | No log | 3.4118 | 58 | 0.3896 | 0.0 | 0.3896 |
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+ | No log | 3.5294 | 60 | 0.3597 | 0.0 | 0.3597 |
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+ | No log | 3.6471 | 62 | 0.3248 | 0.0 | 0.3248 |
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+ | No log | 3.7647 | 64 | 0.3130 | -0.0473 | 0.3130 |
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+ | No log | 3.8824 | 66 | 0.3039 | 0.0 | 0.3039 |
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+ | No log | 4.0 | 68 | 0.3036 | -0.0235 | 0.3036 |
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+ | No log | 4.1176 | 70 | 0.3005 | 0.0 | 0.3005 |
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+ | No log | 4.2353 | 72 | 0.3729 | 0.0 | 0.3729 |
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+ | No log | 4.3529 | 74 | 0.4274 | 0.0 | 0.4274 |
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+ | No log | 4.4706 | 76 | 0.4149 | 0.0 | 0.4149 |
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+ | No log | 4.5882 | 78 | 0.3636 | 0.0 | 0.3636 |
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+ | No log | 4.7059 | 80 | 0.3435 | 0.0 | 0.3435 |
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+ | No log | 4.8235 | 82 | 0.3605 | 0.0 | 0.3605 |
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+ | No log | 4.9412 | 84 | 0.4118 | 0.0 | 0.4118 |
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+ | No log | 5.0588 | 86 | 0.4373 | 0.0 | 0.4373 |
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+ | No log | 5.1765 | 88 | 0.3877 | 0.0 | 0.3877 |
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+ | No log | 5.2941 | 90 | 0.3152 | 0.0 | 0.3152 |
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+ | No log | 5.4118 | 92 | 0.3033 | 0.0 | 0.3033 |
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+ | No log | 5.5294 | 94 | 0.3085 | 0.0 | 0.3085 |
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+ | No log | 5.6471 | 96 | 0.3451 | 0.0 | 0.3451 |
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+ | No log | 5.7647 | 98 | 0.4554 | 0.0 | 0.4554 |
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+ | No log | 5.8824 | 100 | 0.5290 | 0.0230 | 0.5290 |
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+ | No log | 6.0 | 102 | 0.5208 | 0.0230 | 0.5208 |
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+ | No log | 6.1176 | 104 | 0.4384 | 0.0 | 0.4384 |
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+ | No log | 6.2353 | 106 | 0.3592 | 0.0 | 0.3592 |
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+ | No log | 6.3529 | 108 | 0.3270 | -0.0235 | 0.3270 |
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+ | No log | 6.4706 | 110 | 0.3341 | -0.0235 | 0.3341 |
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+ | No log | 6.5882 | 112 | 0.3501 | 0.0 | 0.3501 |
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+ | No log | 6.7059 | 114 | 0.4010 | 0.0224 | 0.4010 |
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+ | No log | 6.8235 | 116 | 0.4289 | 0.0224 | 0.4289 |
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+ | No log | 6.9412 | 118 | 0.4617 | 0.0432 | 0.4617 |
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+ | No log | 7.0588 | 120 | 0.4638 | 0.0432 | 0.4638 |
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+ | No log | 7.1765 | 122 | 0.4444 | 0.0432 | 0.4444 |
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+ | No log | 7.2941 | 124 | 0.4625 | 0.0120 | 0.4625 |
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+ | No log | 7.4118 | 126 | 0.5041 | 0.0139 | 0.5041 |
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+ | No log | 7.5294 | 128 | 0.5111 | 0.0139 | 0.5111 |
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+ | No log | 7.6471 | 130 | 0.5193 | -0.0026 | 0.5193 |
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+ | No log | 7.7647 | 132 | 0.4942 | 0.0139 | 0.4942 |
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+ | No log | 7.8824 | 134 | 0.4487 | 0.0432 | 0.4487 |
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+ | No log | 8.0 | 136 | 0.3941 | 0.0 | 0.3941 |
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+ | No log | 8.1176 | 138 | 0.3656 | 0.0 | 0.3656 |
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+ | No log | 8.2353 | 140 | 0.3670 | 0.0 | 0.3670 |
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+ | No log | 8.3529 | 142 | 0.3813 | 0.0 | 0.3813 |
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+ | No log | 8.4706 | 144 | 0.4173 | 0.0432 | 0.4173 |
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+ | No log | 8.5882 | 146 | 0.4510 | 0.0230 | 0.4510 |
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+ | No log | 8.7059 | 148 | 0.4637 | 0.0230 | 0.4637 |
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+ | No log | 8.8235 | 150 | 0.4865 | -0.0026 | 0.4865 |
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+ | No log | 8.9412 | 152 | 0.5054 | -0.0101 | 0.5054 |
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+ | No log | 9.0588 | 154 | 0.5000 | 0.0074 | 0.5000 |
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+ | No log | 9.1765 | 156 | 0.4847 | -0.0026 | 0.4847 |
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+ | No log | 9.2941 | 158 | 0.4728 | -0.0026 | 0.4728 |
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+ | No log | 9.4118 | 160 | 0.4652 | 0.0054 | 0.4652 |
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+ | No log | 9.5294 | 162 | 0.4641 | 0.0054 | 0.4641 |
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+ | No log | 9.6471 | 164 | 0.4713 | -0.0026 | 0.4713 |
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+ | No log | 9.7647 | 166 | 0.4801 | 0.0152 | 0.4801 |
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+ | No log | 9.8824 | 168 | 0.4839 | 0.0152 | 0.4839 |
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+ | No log | 10.0 | 170 | 0.4851 | 0.0152 | 0.4851 |
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  ### Framework versions