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arabert_cross_organization_task1_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_organization_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_organization_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: 0.6973
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- - Qwk: 0.4121
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- - Mse: 0.6973
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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 | 2.5684 | 0.0116 | 2.5684 |
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- | No log | 0.2667 | 4 | 1.7358 | 0.0856 | 1.7358 |
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- | No log | 0.4 | 6 | 0.7580 | 0.1307 | 0.7580 |
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- | No log | 0.5333 | 8 | 1.0787 | 0.0341 | 1.0787 |
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- | No log | 0.6667 | 10 | 0.9103 | 0.1678 | 0.9103 |
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- | No log | 0.8 | 12 | 1.1212 | 0.2241 | 1.1212 |
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- | No log | 0.9333 | 14 | 1.2424 | 0.2061 | 1.2424 |
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- | No log | 1.0667 | 16 | 0.9462 | 0.2685 | 0.9462 |
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- | No log | 1.2 | 18 | 0.6233 | 0.4273 | 0.6233 |
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- | No log | 1.3333 | 20 | 0.5885 | 0.4743 | 0.5885 |
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- | No log | 1.4667 | 22 | 0.6616 | 0.3952 | 0.6616 |
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- | No log | 1.6 | 24 | 0.8153 | 0.3126 | 0.8153 |
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- | No log | 1.7333 | 26 | 0.8278 | 0.3127 | 0.8278 |
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- | No log | 1.8667 | 28 | 0.6680 | 0.3884 | 0.6680 |
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- | No log | 2.0 | 30 | 0.5761 | 0.4959 | 0.5761 |
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- | No log | 2.1333 | 32 | 0.5793 | 0.4845 | 0.5793 |
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- | No log | 2.2667 | 34 | 0.6288 | 0.4575 | 0.6288 |
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- | No log | 2.4 | 36 | 0.8037 | 0.3583 | 0.8037 |
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- | No log | 2.5333 | 38 | 0.9122 | 0.3147 | 0.9122 |
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- | No log | 2.6667 | 40 | 0.8141 | 0.3536 | 0.8141 |
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- | No log | 2.8 | 42 | 0.6941 | 0.3971 | 0.6941 |
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- | No log | 2.9333 | 44 | 0.5685 | 0.4691 | 0.5685 |
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- | No log | 3.0667 | 46 | 0.5381 | 0.5160 | 0.5381 |
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- | No log | 3.2 | 48 | 0.5770 | 0.4617 | 0.5770 |
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- | No log | 3.3333 | 50 | 0.6630 | 0.4108 | 0.6630 |
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- | No log | 3.4667 | 52 | 0.6155 | 0.4490 | 0.6155 |
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- | No log | 3.6 | 54 | 0.5977 | 0.4930 | 0.5977 |
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- | No log | 3.7333 | 56 | 0.6466 | 0.4721 | 0.6466 |
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- | No log | 3.8667 | 58 | 0.6835 | 0.4250 | 0.6835 |
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- | No log | 4.0 | 60 | 0.7296 | 0.3879 | 0.7296 |
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- | No log | 4.1333 | 62 | 0.6819 | 0.4354 | 0.6819 |
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- | No log | 4.2667 | 64 | 0.5945 | 0.4884 | 0.5945 |
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- | No log | 4.4 | 66 | 0.5786 | 0.5050 | 0.5786 |
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- | No log | 4.5333 | 68 | 0.6160 | 0.4670 | 0.6160 |
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- | No log | 4.6667 | 70 | 0.7401 | 0.3934 | 0.7401 |
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- | No log | 4.8 | 72 | 0.8433 | 0.3505 | 0.8433 |
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- | No log | 4.9333 | 74 | 0.7844 | 0.3718 | 0.7844 |
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- | No log | 5.0667 | 76 | 0.6636 | 0.4417 | 0.6636 |
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- | No log | 5.2 | 78 | 0.5945 | 0.4591 | 0.5945 |
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- | No log | 5.3333 | 80 | 0.5972 | 0.4543 | 0.5972 |
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- | No log | 5.4667 | 82 | 0.6419 | 0.4316 | 0.6419 |
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- | No log | 5.6 | 84 | 0.6847 | 0.4354 | 0.6847 |
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- | No log | 5.7333 | 86 | 0.6772 | 0.4472 | 0.6772 |
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- | No log | 5.8667 | 88 | 0.6758 | 0.4430 | 0.6758 |
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- | No log | 6.0 | 90 | 0.7271 | 0.4105 | 0.7271 |
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- | No log | 6.1333 | 92 | 0.8108 | 0.3650 | 0.8108 |
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- | No log | 6.2667 | 94 | 0.7936 | 0.3602 | 0.7936 |
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- | No log | 6.4 | 96 | 0.6779 | 0.4077 | 0.6779 |
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- | No log | 6.5333 | 98 | 0.5967 | 0.4507 | 0.5967 |
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- | No log | 6.6667 | 100 | 0.5802 | 0.4695 | 0.5802 |
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- | No log | 6.8 | 102 | 0.6079 | 0.4518 | 0.6079 |
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- | No log | 6.9333 | 104 | 0.6858 | 0.4235 | 0.6858 |
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- | No log | 7.0667 | 106 | 0.7702 | 0.3774 | 0.7702 |
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- | No log | 7.2 | 108 | 0.8119 | 0.3543 | 0.8119 |
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- | No log | 7.3333 | 110 | 0.7674 | 0.3774 | 0.7674 |
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- | No log | 7.4667 | 112 | 0.6887 | 0.4250 | 0.6887 |
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- | No log | 7.6 | 114 | 0.6566 | 0.4371 | 0.6566 |
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- | No log | 7.7333 | 116 | 0.6477 | 0.4363 | 0.6477 |
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- | No log | 7.8667 | 118 | 0.6556 | 0.4276 | 0.6556 |
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- | No log | 8.0 | 120 | 0.6794 | 0.4219 | 0.6794 |
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- | No log | 8.1333 | 122 | 0.7142 | 0.4001 | 0.7142 |
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- | No log | 8.2667 | 124 | 0.7342 | 0.3849 | 0.7342 |
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- | No log | 8.4 | 126 | 0.7384 | 0.3907 | 0.7384 |
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- | No log | 8.5333 | 128 | 0.7240 | 0.3993 | 0.7240 |
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- | No log | 8.6667 | 130 | 0.7146 | 0.4095 | 0.7146 |
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- | No log | 8.8 | 132 | 0.7179 | 0.4131 | 0.7179 |
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- | No log | 8.9333 | 134 | 0.7112 | 0.4145 | 0.7112 |
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- | No log | 9.0667 | 136 | 0.7020 | 0.4168 | 0.7020 |
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- | No log | 9.2 | 138 | 0.7089 | 0.4124 | 0.7089 |
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- | No log | 9.3333 | 140 | 0.7179 | 0.4051 | 0.7179 |
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- | No log | 9.4667 | 142 | 0.7143 | 0.4015 | 0.7143 |
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- | No log | 9.6 | 144 | 0.7043 | 0.4104 | 0.7043 |
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- | No log | 9.7333 | 146 | 0.6982 | 0.4121 | 0.6982 |
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- | No log | 9.8667 | 148 | 0.6980 | 0.4121 | 0.6980 |
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- | No log | 10.0 | 150 | 0.6973 | 0.4121 | 0.6973 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_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_organization_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: 0.9947
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+ - Qwk: 0.0679
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+ - Mse: 0.9916
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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 | 5.2049 | -0.0008 | 5.2020 |
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+ | No log | 0.25 | 4 | 1.9284 | -0.0122 | 1.9256 |
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+ | No log | 0.375 | 6 | 1.0209 | 0.0513 | 1.0167 |
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+ | No log | 0.5 | 8 | 0.8405 | 0.0824 | 0.8373 |
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+ | No log | 0.625 | 10 | 0.8656 | 0.1060 | 0.8628 |
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+ | No log | 0.75 | 12 | 0.8332 | 0.1240 | 0.8306 |
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+ | No log | 0.875 | 14 | 0.8775 | 0.0730 | 0.8754 |
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+ | No log | 1.0 | 16 | 0.9183 | 0.0104 | 0.9162 |
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+ | No log | 1.125 | 18 | 0.9057 | 0.0508 | 0.9032 |
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+ | No log | 1.25 | 20 | 0.8886 | 0.1273 | 0.8859 |
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+ | No log | 1.375 | 22 | 0.9957 | 0.0849 | 0.9930 |
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+ | No log | 1.5 | 24 | 1.0595 | 0.1181 | 1.0564 |
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+ | No log | 1.625 | 26 | 1.2289 | 0.0182 | 1.2258 |
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+ | No log | 1.75 | 28 | 1.2976 | 0.0182 | 1.2948 |
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+ | No log | 1.875 | 30 | 0.9648 | 0.1402 | 0.9617 |
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+ | No log | 2.0 | 32 | 0.9714 | 0.1016 | 0.9684 |
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+ | No log | 2.125 | 34 | 0.9511 | 0.0710 | 0.9483 |
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+ | No log | 2.25 | 36 | 0.8591 | 0.1425 | 0.8564 |
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+ | No log | 2.375 | 38 | 0.8696 | 0.1182 | 0.8667 |
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+ | No log | 2.5 | 40 | 1.0662 | 0.0360 | 1.0635 |
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+ | No log | 2.625 | 42 | 1.1724 | 0.0360 | 1.1696 |
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+ | No log | 2.75 | 44 | 1.3100 | 0.0182 | 1.3071 |
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+ | No log | 2.875 | 46 | 1.3304 | 0.0182 | 1.3275 |
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+ | No log | 3.0 | 48 | 1.0676 | 0.0424 | 1.0645 |
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+ | No log | 3.125 | 50 | 0.9732 | 0.0668 | 0.9701 |
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+ | No log | 3.25 | 52 | 1.1173 | 0.0279 | 1.1143 |
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+ | No log | 3.375 | 54 | 1.2420 | 0.0182 | 1.2393 |
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+ | No log | 3.5 | 56 | 1.1410 | 0.0155 | 1.1382 |
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+ | No log | 3.625 | 58 | 0.9316 | 0.0268 | 0.9285 |
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+ | No log | 3.75 | 60 | 0.8907 | 0.1122 | 0.8876 |
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+ | No log | 3.875 | 62 | 1.0183 | 0.0253 | 1.0153 |
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+ | No log | 4.0 | 64 | 1.1271 | 0.0279 | 1.1242 |
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+ | No log | 4.125 | 66 | 1.1742 | 0.0300 | 1.1712 |
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+ | No log | 4.25 | 68 | 1.2066 | 0.0682 | 1.2034 |
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+ | No log | 4.375 | 70 | 1.2604 | 0.0377 | 1.2572 |
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+ | No log | 4.5 | 72 | 1.1679 | 0.0830 | 1.1646 |
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+ | No log | 4.625 | 74 | 1.1770 | 0.0966 | 1.1739 |
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+ | No log | 4.75 | 76 | 1.1163 | 0.0966 | 1.1131 |
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+ | No log | 4.875 | 78 | 0.9754 | 0.0695 | 0.9721 |
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+ | No log | 5.0 | 80 | 0.9489 | 0.0767 | 0.9456 |
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+ | No log | 5.125 | 82 | 0.9900 | 0.0994 | 0.9868 |
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+ | No log | 5.25 | 84 | 0.8622 | 0.0654 | 0.8588 |
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+ | No log | 5.375 | 86 | 0.8621 | 0.1028 | 0.8586 |
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+ | No log | 5.5 | 88 | 1.0043 | 0.0807 | 1.0011 |
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+ | No log | 5.625 | 90 | 1.0565 | 0.0448 | 1.0533 |
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+ | No log | 5.75 | 92 | 0.9899 | 0.0848 | 0.9866 |
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+ | No log | 5.875 | 94 | 1.1141 | 0.0466 | 1.1111 |
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+ | No log | 6.0 | 96 | 1.3040 | 0.0906 | 1.3012 |
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+ | No log | 6.125 | 98 | 1.2856 | 0.1112 | 1.2829 |
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+ | No log | 6.25 | 100 | 1.3671 | 0.0962 | 1.3644 |
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+ | No log | 6.375 | 102 | 1.2601 | 0.1091 | 1.2574 |
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+ | No log | 6.5 | 104 | 1.2039 | 0.1595 | 1.2011 |
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+ | No log | 6.625 | 106 | 1.1272 | 0.0913 | 1.1244 |
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+ | No log | 6.75 | 108 | 1.0754 | 0.0958 | 1.0725 |
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+ | No log | 6.875 | 110 | 1.0818 | 0.0777 | 1.0790 |
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+ | No log | 7.0 | 112 | 1.0175 | 0.0670 | 1.0146 |
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+ | No log | 7.125 | 114 | 0.9552 | 0.0569 | 0.9521 |
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+ | No log | 7.25 | 116 | 0.8938 | 0.1278 | 0.8906 |
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+ | No log | 7.375 | 118 | 0.9486 | 0.0697 | 0.9455 |
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+ | No log | 7.5 | 120 | 0.9351 | 0.0773 | 0.9319 |
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+ | No log | 7.625 | 122 | 0.8928 | 0.0870 | 0.8895 |
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+ | No log | 7.75 | 124 | 0.8558 | 0.1373 | 0.8524 |
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+ | No log | 7.875 | 126 | 0.8561 | 0.1606 | 0.8527 |
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+ | No log | 8.0 | 128 | 0.9205 | 0.0389 | 0.9174 |
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+ | No log | 8.125 | 130 | 1.0514 | 0.0941 | 1.0484 |
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+ | No log | 8.25 | 132 | 1.0795 | 0.1246 | 1.0765 |
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+ | No log | 8.375 | 134 | 1.0151 | 0.0977 | 1.0120 |
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+ | No log | 8.5 | 136 | 0.9815 | 0.0716 | 0.9784 |
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+ | No log | 8.625 | 138 | 0.9817 | 0.0668 | 0.9786 |
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+ | No log | 8.75 | 140 | 0.9721 | 0.0597 | 0.9690 |
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+ | No log | 8.875 | 142 | 0.9865 | 0.0668 | 0.9834 |
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+ | No log | 9.0 | 144 | 0.9956 | 0.0716 | 0.9925 |
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+ | No log | 9.125 | 146 | 0.9824 | 0.0807 | 0.9793 |
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+ | No log | 9.25 | 148 | 0.9599 | 0.0721 | 0.9568 |
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+ | No log | 9.375 | 150 | 0.9488 | 0.0858 | 0.9456 |
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+ | No log | 9.5 | 152 | 0.9443 | 0.0858 | 0.9411 |
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+ | No log | 9.625 | 154 | 0.9603 | 0.0721 | 0.9572 |
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+ | No log | 9.75 | 156 | 0.9767 | 0.0770 | 0.9735 |
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+ | No log | 9.875 | 158 | 0.9906 | 0.0679 | 0.9874 |
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+ | No log | 10.0 | 160 | 0.9947 | 0.0679 | 0.9916 |
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  ### Framework versions