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arabert_cross_organization_task2_fold1

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  1. README.md +38 -35
README.md CHANGED
@@ -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_task2_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_task2_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: 1.0750
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- - Qwk: 0.3468
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- - Mse: 1.0721
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  ## Model description
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@@ -45,36 +45,39 @@ 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 | 0.0351 | 2 | 3.4167 | 0.0678 | 3.4065 |
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- | No log | 0.0702 | 4 | 2.0846 | 0.1875 | 2.0771 |
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- | No log | 0.1053 | 6 | 2.1779 | 0.2788 | 2.1732 |
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- | No log | 0.1404 | 8 | 1.2737 | 0.3942 | 1.2700 |
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- | No log | 0.1754 | 10 | 0.9836 | 0.4591 | 0.9815 |
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- | No log | 0.2105 | 12 | 0.9151 | 0.5551 | 0.9133 |
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- | No log | 0.2456 | 14 | 1.1899 | 0.4654 | 1.1876 |
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- | No log | 0.2807 | 16 | 2.4311 | 0.2819 | 2.4281 |
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- | No log | 0.3158 | 18 | 2.1445 | 0.3202 | 2.1419 |
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- | No log | 0.3509 | 20 | 1.6577 | 0.3754 | 1.6554 |
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- | No log | 0.3860 | 22 | 1.2589 | 0.4190 | 1.2567 |
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- | No log | 0.4211 | 24 | 1.2709 | 0.3855 | 1.2683 |
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- | No log | 0.4561 | 26 | 1.0848 | 0.4030 | 1.0822 |
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- | No log | 0.4912 | 28 | 0.9858 | 0.3653 | 0.9830 |
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- | No log | 0.5263 | 30 | 1.0026 | 0.3410 | 0.9997 |
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- | No log | 0.5614 | 32 | 1.0726 | 0.3510 | 1.0695 |
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- | No log | 0.5965 | 34 | 1.1031 | 0.3466 | 1.1000 |
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- | No log | 0.6316 | 36 | 1.1600 | 0.3346 | 1.1569 |
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- | No log | 0.6667 | 38 | 1.3048 | 0.3491 | 1.3016 |
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- | No log | 0.7018 | 40 | 1.4575 | 0.3508 | 1.4541 |
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- | No log | 0.7368 | 42 | 1.4627 | 0.3433 | 1.4592 |
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- | No log | 0.7719 | 44 | 1.3707 | 0.3455 | 1.3674 |
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- | No log | 0.8070 | 46 | 1.2964 | 0.3443 | 1.2931 |
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- | No log | 0.8421 | 48 | 1.2205 | 0.3456 | 1.2174 |
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- | No log | 0.8772 | 50 | 1.1721 | 0.3393 | 1.1691 |
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- | No log | 0.9123 | 52 | 1.1246 | 0.3388 | 1.1217 |
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- | No log | 0.9474 | 54 | 1.0909 | 0.3468 | 1.0880 |
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- | No log | 0.9825 | 56 | 1.0750 | 0.3468 | 1.0721 |
 
 
 
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  ### Framework versions
 
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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_task2_fold1
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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_task2_fold1
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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: 0.8825
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+ - Qwk: 0.1150
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+ - Mse: 0.8655
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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 | 0.0317 | 2 | 3.0267 | -0.0044 | 3.0446 |
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+ | No log | 0.0635 | 4 | 1.2891 | 0.0342 | 1.2879 |
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+ | No log | 0.0952 | 6 | 1.5424 | -0.0019 | 1.5380 |
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+ | No log | 0.1270 | 8 | 0.8826 | -0.0013 | 0.8720 |
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+ | No log | 0.1587 | 10 | 0.7922 | 0.0662 | 0.7791 |
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+ | No log | 0.1905 | 12 | 0.7888 | 0.1226 | 0.7749 |
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+ | No log | 0.2222 | 14 | 0.8412 | 0.1270 | 0.8242 |
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+ | No log | 0.2540 | 16 | 0.9694 | 0.0536 | 0.9479 |
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+ | No log | 0.2857 | 18 | 1.1052 | 0.0 | 1.0806 |
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+ | No log | 0.3175 | 20 | 1.1465 | 0.0 | 1.1217 |
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+ | No log | 0.3492 | 22 | 1.1550 | 0.0 | 1.1324 |
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+ | No log | 0.3810 | 24 | 1.0325 | 0.0155 | 1.0157 |
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+ | No log | 0.4127 | 26 | 0.9215 | 0.1245 | 0.9088 |
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+ | No log | 0.4444 | 28 | 0.9192 | 0.0894 | 0.9058 |
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+ | No log | 0.4762 | 30 | 0.9624 | 0.0819 | 0.9461 |
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+ | No log | 0.5079 | 32 | 0.9482 | 0.0650 | 0.9309 |
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+ | No log | 0.5397 | 34 | 0.9962 | 0.0388 | 0.9763 |
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+ | No log | 0.5714 | 36 | 0.9725 | 0.0 | 0.9522 |
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+ | No log | 0.6032 | 38 | 0.9242 | 0.0360 | 0.9052 |
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+ | No log | 0.6349 | 40 | 0.8757 | 0.0806 | 0.8588 |
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+ | No log | 0.6667 | 42 | 0.8479 | 0.0080 | 0.8325 |
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+ | No log | 0.6984 | 44 | 0.8319 | 0.0221 | 0.8178 |
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+ | No log | 0.7302 | 46 | 0.8311 | 0.0185 | 0.8171 |
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+ | No log | 0.7619 | 48 | 0.8250 | 0.0130 | 0.8119 |
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+ | No log | 0.7937 | 50 | 0.8256 | 0.0130 | 0.8126 |
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+ | No log | 0.8254 | 52 | 0.8281 | -0.0220 | 0.8148 |
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+ | No log | 0.8571 | 54 | 0.8385 | 0.0374 | 0.8242 |
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+ | No log | 0.8889 | 56 | 0.8565 | 0.0396 | 0.8410 |
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+ | No log | 0.9206 | 58 | 0.8727 | 0.0642 | 0.8563 |
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+ | No log | 0.9524 | 60 | 0.8784 | 0.0538 | 0.8616 |
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+ | No log | 0.9841 | 62 | 0.8825 | 0.1150 | 0.8655 |
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  ### Framework versions