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arabert_cross_organization_task7_fold3

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bert
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  1. README.md +92 -87
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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_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_organization_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: 1.2954
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- - Qwk: 0.0375
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- - Mse: 1.2921
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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 | 5.8813 | 0.0002 | 5.8787 |
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- | No log | 0.25 | 4 | 2.9326 | 0.0187 | 2.9290 |
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- | No log | 0.375 | 6 | 1.3335 | 0.0483 | 1.3299 |
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- | No log | 0.5 | 8 | 0.8293 | 0.1248 | 0.8268 |
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- | No log | 0.625 | 10 | 0.8358 | 0.0116 | 0.8324 |
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- | No log | 0.75 | 12 | 0.9072 | 0.0353 | 0.9036 |
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- | No log | 0.875 | 14 | 0.8593 | -0.0221 | 0.8566 |
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- | No log | 1.0 | 16 | 0.9323 | 0.0032 | 0.9303 |
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- | No log | 1.125 | 18 | 0.9667 | -0.0502 | 0.9646 |
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- | No log | 1.25 | 20 | 1.0888 | 0.0 | 1.0865 |
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- | No log | 1.375 | 22 | 1.3618 | 0.0 | 1.3592 |
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- | No log | 1.5 | 24 | 1.5735 | 0.0025 | 1.5707 |
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- | No log | 1.625 | 26 | 1.5108 | 0.0226 | 1.5078 |
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- | No log | 1.75 | 28 | 1.4546 | 0.0226 | 1.4515 |
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- | No log | 1.875 | 30 | 1.4052 | 0.0182 | 1.4022 |
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- | No log | 2.0 | 32 | 1.2679 | 0.0182 | 1.2650 |
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- | No log | 2.125 | 34 | 1.3052 | 0.0182 | 1.3025 |
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- | No log | 2.25 | 36 | 1.3852 | 0.0 | 1.3827 |
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- | No log | 2.375 | 38 | 1.3541 | 0.0182 | 1.3513 |
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- | No log | 2.5 | 40 | 1.1151 | 0.0182 | 1.1121 |
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- | No log | 2.625 | 42 | 1.0936 | 0.0182 | 1.0906 |
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- | No log | 2.75 | 44 | 1.2306 | 0.0182 | 1.2277 |
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- | No log | 2.875 | 46 | 1.3712 | 0.0182 | 1.3683 |
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- | No log | 3.0 | 48 | 1.3673 | 0.0182 | 1.3643 |
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- | No log | 3.125 | 50 | 1.1531 | -0.0018 | 1.1496 |
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- | No log | 3.25 | 52 | 1.1023 | 0.0034 | 1.0987 |
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- | No log | 3.375 | 54 | 1.2866 | 0.0421 | 1.2831 |
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- | No log | 3.5 | 56 | 1.5177 | 0.0289 | 1.5145 |
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- | No log | 3.625 | 58 | 1.5134 | 0.0204 | 1.5104 |
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- | No log | 3.75 | 60 | 1.4435 | 0.0182 | 1.4406 |
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- | No log | 3.875 | 62 | 1.4043 | 0.0204 | 1.4012 |
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- | No log | 4.0 | 64 | 1.3959 | 0.0226 | 1.3928 |
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- | No log | 4.125 | 66 | 1.2847 | 0.0204 | 1.2816 |
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- | No log | 4.25 | 68 | 1.1653 | 0.0182 | 1.1623 |
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- | No log | 4.375 | 70 | 1.1255 | 0.0155 | 1.1225 |
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- | No log | 4.5 | 72 | 1.1599 | 0.0182 | 1.1570 |
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- | No log | 4.625 | 74 | 1.1826 | 0.0155 | 1.1796 |
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- | No log | 4.75 | 76 | 1.2119 | 0.0182 | 1.2088 |
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- | No log | 4.875 | 78 | 1.2305 | 0.0182 | 1.2274 |
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- | No log | 5.0 | 80 | 1.3039 | 0.0247 | 1.3006 |
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- | No log | 5.125 | 82 | 1.2190 | 0.0196 | 1.2157 |
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- | No log | 5.25 | 84 | 1.2372 | 0.0238 | 1.2338 |
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- | No log | 5.375 | 86 | 1.3596 | 0.0289 | 1.3563 |
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- | No log | 5.5 | 88 | 1.3896 | 0.0268 | 1.3865 |
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- | No log | 5.625 | 90 | 1.4002 | 0.0268 | 1.3971 |
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- | No log | 5.75 | 92 | 1.3231 | 0.0204 | 1.3202 |
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- | No log | 5.875 | 94 | 1.2852 | 0.0182 | 1.2824 |
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- | No log | 6.0 | 96 | 1.3081 | 0.0182 | 1.3054 |
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- | No log | 6.125 | 98 | 1.2707 | 0.0182 | 1.2681 |
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- | No log | 6.25 | 100 | 1.2533 | 0.0182 | 1.2505 |
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- | No log | 6.375 | 102 | 1.2295 | 0.0182 | 1.2266 |
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- | No log | 6.5 | 104 | 1.2384 | 0.0633 | 1.2354 |
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- | No log | 6.625 | 106 | 1.3078 | 0.0483 | 1.3048 |
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- | No log | 6.75 | 108 | 1.3657 | 0.0501 | 1.3628 |
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- | No log | 6.875 | 110 | 1.4466 | 0.0551 | 1.4437 |
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- | No log | 7.0 | 112 | 1.4426 | 0.0567 | 1.4396 |
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- | No log | 7.125 | 114 | 1.3478 | 0.0557 | 1.3447 |
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- | No log | 7.25 | 116 | 1.2982 | 0.1010 | 1.2950 |
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- | No log | 7.375 | 118 | 1.2917 | 0.0632 | 1.2886 |
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- | No log | 7.5 | 120 | 1.3501 | 0.0525 | 1.3471 |
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- | No log | 7.625 | 122 | 1.4125 | 0.0567 | 1.4094 |
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- | No log | 7.75 | 124 | 1.4720 | 0.0777 | 1.4689 |
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- | No log | 7.875 | 126 | 1.4728 | 0.0764 | 1.4697 |
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- | No log | 8.0 | 128 | 1.4105 | 0.0535 | 1.4075 |
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- | No log | 8.125 | 130 | 1.3530 | 0.0289 | 1.3500 |
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- | No log | 8.25 | 132 | 1.3150 | 0.0289 | 1.3120 |
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- | No log | 8.375 | 134 | 1.3406 | 0.0268 | 1.3376 |
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- | No log | 8.5 | 136 | 1.3885 | 0.0309 | 1.3855 |
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- | No log | 8.625 | 138 | 1.4249 | 0.0551 | 1.4218 |
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- | No log | 8.75 | 140 | 1.4578 | 0.0598 | 1.4546 |
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- | No log | 8.875 | 142 | 1.4364 | 0.0583 | 1.4332 |
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- | No log | 9.0 | 144 | 1.3917 | 0.0341 | 1.3885 |
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- | No log | 9.125 | 146 | 1.3599 | 0.0133 | 1.3567 |
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- | No log | 9.25 | 148 | 1.3391 | 0.0754 | 1.3359 |
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- | No log | 9.375 | 150 | 1.3212 | 0.0754 | 1.3179 |
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- | No log | 9.5 | 152 | 1.2992 | 0.0375 | 1.2960 |
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- | No log | 9.625 | 154 | 1.2901 | 0.0351 | 1.2868 |
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- | No log | 9.75 | 156 | 1.2864 | 0.0351 | 1.2831 |
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- | No log | 9.875 | 158 | 1.2913 | 0.0375 | 1.2881 |
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- | No log | 10.0 | 160 | 1.2954 | 0.0375 | 1.2921 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_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_organization_task7_fold3
14
 
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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: 1.2477
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+ - Qwk: 0.0397
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+ - Mse: 1.2477
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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 | 4.6630 | -0.0214 | 4.6630 |
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+ | No log | 0.2353 | 4 | 1.9131 | -0.0296 | 1.9131 |
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+ | No log | 0.3529 | 6 | 1.4779 | 0.0333 | 1.4779 |
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+ | No log | 0.4706 | 8 | 1.3898 | -0.0031 | 1.3898 |
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+ | No log | 0.5882 | 10 | 1.1632 | -0.0182 | 1.1632 |
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+ | No log | 0.7059 | 12 | 1.2046 | 0.0046 | 1.2046 |
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+ | No log | 0.8235 | 14 | 1.1480 | -0.0723 | 1.1480 |
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+ | No log | 0.9412 | 16 | 1.1436 | -0.0110 | 1.1436 |
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+ | No log | 1.0588 | 18 | 1.1619 | -0.0110 | 1.1619 |
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+ | No log | 1.1765 | 20 | 1.1482 | -0.0110 | 1.1482 |
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+ | No log | 1.2941 | 22 | 1.1202 | -0.0110 | 1.1202 |
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+ | No log | 1.4118 | 24 | 1.1170 | 0.0062 | 1.1170 |
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+ | No log | 1.5294 | 26 | 1.1174 | 0.0413 | 1.1174 |
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+ | No log | 1.6471 | 28 | 1.1486 | -0.0248 | 1.1486 |
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+ | No log | 1.7647 | 30 | 1.2697 | 0.0 | 1.2697 |
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+ | No log | 1.8824 | 32 | 1.2498 | -0.0147 | 1.2498 |
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+ | No log | 2.0 | 34 | 1.1692 | -0.0248 | 1.1692 |
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+ | No log | 2.1176 | 36 | 1.1913 | -0.0203 | 1.1913 |
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+ | No log | 2.2353 | 38 | 1.2360 | -0.0255 | 1.2360 |
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+ | No log | 2.3529 | 40 | 1.1562 | -0.0046 | 1.1562 |
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+ | No log | 2.4706 | 42 | 1.1715 | -0.0074 | 1.1715 |
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+ | No log | 2.5882 | 44 | 1.2562 | -0.0147 | 1.2562 |
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+ | No log | 2.7059 | 46 | 1.1883 | -0.0039 | 1.1883 |
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+ | No log | 2.8235 | 48 | 1.1458 | 0.0518 | 1.1458 |
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+ | No log | 2.9412 | 50 | 1.2475 | -0.0289 | 1.2475 |
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+ | No log | 3.0588 | 52 | 1.3234 | 0.0059 | 1.3234 |
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+ | No log | 3.1765 | 54 | 1.1838 | -0.0002 | 1.1838 |
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+ | No log | 3.2941 | 56 | 1.1405 | 0.0753 | 1.1405 |
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+ | No log | 3.4118 | 58 | 1.1817 | 0.0686 | 1.1817 |
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+ | No log | 3.5294 | 60 | 1.1663 | 0.0753 | 1.1663 |
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+ | No log | 3.6471 | 62 | 1.1574 | 0.0944 | 1.1574 |
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+ | No log | 3.7647 | 64 | 1.1895 | 0.0474 | 1.1895 |
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+ | No log | 3.8824 | 66 | 1.1771 | 0.0160 | 1.1771 |
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+ | No log | 4.0 | 68 | 1.1811 | 0.0725 | 1.1811 |
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+ | No log | 4.1176 | 70 | 1.2361 | 0.0469 | 1.2361 |
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+ | No log | 4.2353 | 72 | 1.2386 | 0.0650 | 1.2386 |
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+ | No log | 4.3529 | 74 | 1.1740 | 0.1183 | 1.1740 |
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+ | No log | 4.4706 | 76 | 1.1578 | 0.1142 | 1.1578 |
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+ | No log | 4.5882 | 78 | 1.1478 | 0.0927 | 1.1478 |
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+ | No log | 4.7059 | 80 | 1.1556 | 0.0890 | 1.1556 |
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+ | No log | 4.8235 | 82 | 1.1743 | 0.0682 | 1.1743 |
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+ | No log | 4.9412 | 84 | 1.1621 | 0.0682 | 1.1621 |
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+ | No log | 5.0588 | 86 | 1.1329 | 0.0963 | 1.1329 |
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+ | No log | 5.1765 | 88 | 1.1322 | 0.1113 | 1.1322 |
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+ | No log | 5.2941 | 90 | 1.1440 | 0.1234 | 1.1440 |
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+ | No log | 5.4118 | 92 | 1.2118 | 0.0376 | 1.2118 |
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+ | No log | 5.5294 | 94 | 1.2862 | 0.0713 | 1.2862 |
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+ | No log | 5.6471 | 96 | 1.3217 | 0.0599 | 1.3217 |
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+ | No log | 5.7647 | 98 | 1.2121 | 0.0624 | 1.2121 |
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+ | No log | 5.8824 | 100 | 1.1592 | 0.1501 | 1.1592 |
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+ | No log | 6.0 | 102 | 1.1912 | 0.0385 | 1.1912 |
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+ | No log | 6.1176 | 104 | 1.1673 | 0.0828 | 1.1673 |
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+ | No log | 6.2353 | 106 | 1.1644 | 0.0448 | 1.1644 |
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+ | No log | 6.3529 | 108 | 1.2438 | 0.0629 | 1.2438 |
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+ | No log | 6.4706 | 110 | 1.3083 | 0.0622 | 1.3083 |
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+ | No log | 6.5882 | 112 | 1.2970 | 0.0470 | 1.2970 |
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+ | No log | 6.7059 | 114 | 1.2160 | 0.0295 | 1.2160 |
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+ | No log | 6.8235 | 116 | 1.1682 | 0.0881 | 1.1682 |
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+ | No log | 6.9412 | 118 | 1.1659 | 0.0898 | 1.1659 |
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+ | No log | 7.0588 | 120 | 1.1694 | 0.1029 | 1.1694 |
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+ | No log | 7.1765 | 122 | 1.1813 | 0.0829 | 1.1813 |
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+ | No log | 7.2941 | 124 | 1.1840 | 0.0847 | 1.1840 |
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+ | No log | 7.4118 | 126 | 1.1941 | 0.0847 | 1.1941 |
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+ | No log | 7.5294 | 128 | 1.2296 | 0.0915 | 1.2296 |
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+ | No log | 7.6471 | 130 | 1.2731 | 0.0561 | 1.2731 |
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+ | No log | 7.7647 | 132 | 1.2863 | 0.0680 | 1.2863 |
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+ | No log | 7.8824 | 134 | 1.2644 | 0.0391 | 1.2644 |
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+ | No log | 8.0 | 136 | 1.2471 | 0.0771 | 1.2471 |
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+ | No log | 8.1176 | 138 | 1.2423 | 0.0789 | 1.2423 |
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+ | No log | 8.2353 | 140 | 1.2401 | 0.0596 | 1.2401 |
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+ | No log | 8.3529 | 142 | 1.2475 | 0.0596 | 1.2475 |
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+ | No log | 8.4706 | 144 | 1.2539 | 0.0703 | 1.2539 |
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+ | No log | 8.5882 | 146 | 1.2593 | 0.0794 | 1.2593 |
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+ | No log | 8.7059 | 148 | 1.2770 | 0.0551 | 1.2770 |
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+ | No log | 8.8235 | 150 | 1.2937 | 0.0858 | 1.2937 |
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+ | No log | 8.9412 | 152 | 1.2970 | 0.0840 | 1.2970 |
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+ | No log | 9.0588 | 154 | 1.3005 | 0.0657 | 1.3005 |
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+ | No log | 9.1765 | 156 | 1.2860 | 0.0657 | 1.2860 |
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+ | No log | 9.2941 | 158 | 1.2799 | 0.0355 | 1.2799 |
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+ | No log | 9.4118 | 160 | 1.2697 | 0.0407 | 1.2697 |
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+ | No log | 9.5294 | 162 | 1.2616 | 0.0653 | 1.2616 |
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+ | No log | 9.6471 | 164 | 1.2564 | 0.0374 | 1.2564 |
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+ | No log | 9.7647 | 166 | 1.2527 | 0.0397 | 1.2527 |
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+ | No log | 9.8824 | 168 | 1.2493 | 0.0397 | 1.2493 |
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+ | No log | 10.0 | 170 | 1.2477 | 0.0397 | 1.2477 |
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  ### Framework versions