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arabert_cross_organization_task3_fold6

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  1. README.md +92 -87
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_task3_fold5
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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_task3_fold5
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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: 0.4649
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- - Qwk: 0.6602
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- - Mse: 0.4652
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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 | 1.3614 | 0.1417 | 1.3607 |
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- | No log | 0.25 | 4 | 0.9919 | 0.1465 | 0.9922 |
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- | No log | 0.375 | 6 | 0.7852 | 0.5086 | 0.7857 |
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- | No log | 0.5 | 8 | 0.8360 | 0.6182 | 0.8371 |
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- | No log | 0.625 | 10 | 0.6409 | 0.7584 | 0.6421 |
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- | No log | 0.75 | 12 | 0.5760 | 0.6105 | 0.5765 |
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- | No log | 0.875 | 14 | 0.5769 | 0.7460 | 0.5780 |
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- | No log | 1.0 | 16 | 0.5277 | 0.7247 | 0.5287 |
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- | No log | 1.125 | 18 | 0.5309 | 0.7698 | 0.5319 |
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- | No log | 1.25 | 20 | 0.6352 | 0.7920 | 0.6365 |
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- | No log | 1.375 | 22 | 0.4636 | 0.6839 | 0.4644 |
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- | No log | 1.5 | 24 | 0.4773 | 0.7038 | 0.4782 |
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- | No log | 1.625 | 26 | 0.5174 | 0.7610 | 0.5185 |
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- | No log | 1.75 | 28 | 0.5482 | 0.7835 | 0.5494 |
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- | No log | 1.875 | 30 | 0.4822 | 0.7417 | 0.4830 |
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- | No log | 2.0 | 32 | 0.4561 | 0.6787 | 0.4566 |
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- | No log | 2.125 | 34 | 0.4716 | 0.7343 | 0.4723 |
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- | No log | 2.25 | 36 | 0.5650 | 0.7930 | 0.5660 |
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- | No log | 2.375 | 38 | 0.4723 | 0.7646 | 0.4729 |
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- | No log | 2.5 | 40 | 0.4662 | 0.6525 | 0.4664 |
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- | No log | 2.625 | 42 | 0.4420 | 0.7033 | 0.4425 |
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- | No log | 2.75 | 44 | 0.5038 | 0.7717 | 0.5047 |
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- | No log | 2.875 | 46 | 0.5557 | 0.7833 | 0.5567 |
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- | No log | 3.0 | 48 | 0.4661 | 0.7378 | 0.4667 |
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- | No log | 3.125 | 50 | 0.4772 | 0.6547 | 0.4774 |
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- | No log | 3.25 | 52 | 0.4713 | 0.6765 | 0.4715 |
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- | No log | 3.375 | 54 | 0.4755 | 0.7516 | 0.4761 |
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- | No log | 3.5 | 56 | 0.4959 | 0.7626 | 0.4966 |
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- | No log | 3.625 | 58 | 0.4637 | 0.7460 | 0.4642 |
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- | No log | 3.75 | 60 | 0.4762 | 0.7443 | 0.4768 |
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- | No log | 3.875 | 62 | 0.4669 | 0.7437 | 0.4674 |
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- | No log | 4.0 | 64 | 0.4555 | 0.7387 | 0.4559 |
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- | No log | 4.125 | 66 | 0.4440 | 0.7154 | 0.4444 |
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- | No log | 4.25 | 68 | 0.4456 | 0.6951 | 0.4460 |
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- | No log | 4.375 | 70 | 0.4452 | 0.7223 | 0.4457 |
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- | No log | 4.5 | 72 | 0.4717 | 0.7461 | 0.4723 |
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- | No log | 4.625 | 74 | 0.4611 | 0.7342 | 0.4616 |
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- | No log | 4.75 | 76 | 0.4659 | 0.7176 | 0.4664 |
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- | No log | 4.875 | 78 | 0.4599 | 0.7400 | 0.4604 |
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- | No log | 5.0 | 80 | 0.4602 | 0.7421 | 0.4608 |
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- | No log | 5.125 | 82 | 0.4454 | 0.7202 | 0.4458 |
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- | No log | 5.25 | 84 | 0.4601 | 0.6651 | 0.4603 |
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- | No log | 5.375 | 86 | 0.4520 | 0.6947 | 0.4522 |
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- | No log | 5.5 | 88 | 0.4471 | 0.7201 | 0.4474 |
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- | No log | 5.625 | 90 | 0.4466 | 0.6992 | 0.4469 |
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- | No log | 5.75 | 92 | 0.4632 | 0.6619 | 0.4633 |
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- | No log | 5.875 | 94 | 0.4736 | 0.6395 | 0.4737 |
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- | No log | 6.0 | 96 | 0.4485 | 0.6918 | 0.4488 |
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- | No log | 6.125 | 98 | 0.4448 | 0.7136 | 0.4453 |
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- | No log | 6.25 | 100 | 0.4413 | 0.6987 | 0.4417 |
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- | No log | 6.375 | 102 | 0.4402 | 0.7137 | 0.4406 |
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- | No log | 6.5 | 104 | 0.4399 | 0.7159 | 0.4404 |
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- | No log | 6.625 | 106 | 0.4462 | 0.7259 | 0.4467 |
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- | No log | 6.75 | 108 | 0.4442 | 0.7166 | 0.4447 |
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- | No log | 6.875 | 110 | 0.4566 | 0.6877 | 0.4570 |
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- | No log | 7.0 | 112 | 0.4729 | 0.6802 | 0.4732 |
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- | No log | 7.125 | 114 | 0.4857 | 0.6695 | 0.4859 |
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- | No log | 7.25 | 116 | 0.4685 | 0.7000 | 0.4689 |
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- | No log | 7.375 | 118 | 0.4610 | 0.7218 | 0.4616 |
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- | No log | 7.5 | 120 | 0.4550 | 0.7174 | 0.4555 |
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- | No log | 7.625 | 122 | 0.4572 | 0.6892 | 0.4576 |
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- | No log | 7.75 | 124 | 0.4506 | 0.7015 | 0.4510 |
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- | No log | 7.875 | 126 | 0.4454 | 0.7045 | 0.4459 |
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- | No log | 8.0 | 128 | 0.4457 | 0.7284 | 0.4464 |
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- | No log | 8.125 | 130 | 0.4455 | 0.7283 | 0.4461 |
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- | No log | 8.25 | 132 | 0.4411 | 0.7309 | 0.4416 |
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- | No log | 8.375 | 134 | 0.4413 | 0.7252 | 0.4418 |
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- | No log | 8.5 | 136 | 0.4455 | 0.6852 | 0.4459 |
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- | No log | 8.625 | 138 | 0.4564 | 0.6632 | 0.4567 |
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- | No log | 8.75 | 140 | 0.4538 | 0.6632 | 0.4541 |
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- | No log | 8.875 | 142 | 0.4468 | 0.7039 | 0.4473 |
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- | No log | 9.0 | 144 | 0.4474 | 0.7177 | 0.4479 |
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- | No log | 9.125 | 146 | 0.4490 | 0.7156 | 0.4496 |
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- | No log | 9.25 | 148 | 0.4504 | 0.7156 | 0.4510 |
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- | No log | 9.375 | 150 | 0.4516 | 0.7127 | 0.4521 |
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- | No log | 9.5 | 152 | 0.4547 | 0.6898 | 0.4551 |
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- | No log | 9.625 | 154 | 0.4599 | 0.6702 | 0.4603 |
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- | No log | 9.75 | 156 | 0.4646 | 0.6602 | 0.4649 |
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- | No log | 9.875 | 158 | 0.4655 | 0.6602 | 0.4658 |
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- | No log | 10.0 | 160 | 0.4649 | 0.6602 | 0.4652 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task3_fold6
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_task3_fold6
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: 0.6744
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+ - Qwk: 0.5374
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+ - Mse: 0.6727
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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 | 2.0484 | 0.0727 | 2.0464 |
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+ | No log | 0.2353 | 4 | 1.0229 | 0.2634 | 1.0209 |
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+ | No log | 0.3529 | 6 | 1.0565 | 0.3738 | 1.0563 |
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+ | No log | 0.4706 | 8 | 0.8346 | 0.5570 | 0.8340 |
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+ | No log | 0.5882 | 10 | 0.7369 | 0.3583 | 0.7363 |
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+ | No log | 0.7059 | 12 | 0.6299 | 0.3918 | 0.6296 |
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+ | No log | 0.8235 | 14 | 0.5123 | 0.5734 | 0.5122 |
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+ | No log | 0.9412 | 16 | 0.4760 | 0.6338 | 0.4759 |
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+ | No log | 1.0588 | 18 | 0.4963 | 0.5827 | 0.4956 |
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+ | No log | 1.1765 | 20 | 0.5522 | 0.5578 | 0.5507 |
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+ | No log | 1.2941 | 22 | 0.5052 | 0.6935 | 0.5043 |
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+ | No log | 1.4118 | 24 | 0.4977 | 0.6903 | 0.4967 |
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+ | No log | 1.5294 | 26 | 0.5405 | 0.5739 | 0.5389 |
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+ | No log | 1.6471 | 28 | 0.5155 | 0.5351 | 0.5142 |
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+ | No log | 1.7647 | 30 | 0.4597 | 0.6960 | 0.4592 |
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+ | No log | 1.8824 | 32 | 0.5096 | 0.7559 | 0.5095 |
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+ | No log | 2.0 | 34 | 0.4755 | 0.7285 | 0.4750 |
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+ | No log | 2.1176 | 36 | 0.4913 | 0.5583 | 0.4902 |
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+ | No log | 2.2353 | 38 | 0.5379 | 0.5453 | 0.5365 |
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+ | No log | 2.3529 | 40 | 0.4972 | 0.5887 | 0.4960 |
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+ | No log | 2.4706 | 42 | 0.4876 | 0.6288 | 0.4866 |
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+ | No log | 2.5882 | 44 | 0.4834 | 0.6174 | 0.4824 |
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+ | No log | 2.7059 | 46 | 0.4806 | 0.6244 | 0.4797 |
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+ | No log | 2.8235 | 48 | 0.5129 | 0.5775 | 0.5117 |
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+ | No log | 2.9412 | 50 | 0.5356 | 0.5568 | 0.5343 |
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+ | No log | 3.0588 | 52 | 0.5206 | 0.5719 | 0.5195 |
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+ | No log | 3.1765 | 54 | 0.4824 | 0.6328 | 0.4817 |
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+ | No log | 3.2941 | 56 | 0.4890 | 0.6817 | 0.4886 |
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+ | No log | 3.4118 | 58 | 0.4872 | 0.6139 | 0.4865 |
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+ | No log | 3.5294 | 60 | 0.5427 | 0.5620 | 0.5416 |
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+ | No log | 3.6471 | 62 | 0.5604 | 0.5617 | 0.5591 |
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+ | No log | 3.7647 | 64 | 0.5186 | 0.5723 | 0.5175 |
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+ | No log | 3.8824 | 66 | 0.5145 | 0.5822 | 0.5135 |
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+ | No log | 4.0 | 68 | 0.5162 | 0.5904 | 0.5152 |
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+ | No log | 4.1176 | 70 | 0.5201 | 0.5923 | 0.5191 |
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+ | No log | 4.2353 | 72 | 0.5476 | 0.5839 | 0.5464 |
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+ | No log | 4.3529 | 74 | 0.5528 | 0.5930 | 0.5517 |
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+ | No log | 4.4706 | 76 | 0.5558 | 0.5946 | 0.5547 |
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+ | No log | 4.5882 | 78 | 0.5638 | 0.5843 | 0.5626 |
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+ | No log | 4.7059 | 80 | 0.5691 | 0.5607 | 0.5679 |
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+ | No log | 4.8235 | 82 | 0.6117 | 0.5231 | 0.6104 |
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+ | No log | 4.9412 | 84 | 0.5964 | 0.5445 | 0.5952 |
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+ | No log | 5.0588 | 86 | 0.5870 | 0.5441 | 0.5858 |
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+ | No log | 5.1765 | 88 | 0.5544 | 0.5918 | 0.5534 |
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+ | No log | 5.2941 | 90 | 0.5807 | 0.5683 | 0.5796 |
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+ | No log | 5.4118 | 92 | 0.6445 | 0.5409 | 0.6429 |
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+ | No log | 5.5294 | 94 | 0.6914 | 0.5268 | 0.6896 |
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+ | No log | 5.6471 | 96 | 0.6566 | 0.5829 | 0.6550 |
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+ | No log | 5.7647 | 98 | 0.6232 | 0.5841 | 0.6218 |
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+ | No log | 5.8824 | 100 | 0.6460 | 0.5480 | 0.6445 |
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+ | No log | 6.0 | 102 | 0.7138 | 0.5185 | 0.7121 |
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+ | No log | 6.1176 | 104 | 0.7136 | 0.4997 | 0.7120 |
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+ | No log | 6.2353 | 106 | 0.6311 | 0.5377 | 0.6297 |
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+ | No log | 6.3529 | 108 | 0.5676 | 0.5748 | 0.5666 |
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+ | No log | 6.4706 | 110 | 0.5579 | 0.5804 | 0.5571 |
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+ | No log | 6.5882 | 112 | 0.5941 | 0.5534 | 0.5929 |
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+ | No log | 6.7059 | 114 | 0.6495 | 0.5405 | 0.6479 |
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+ | No log | 6.8235 | 116 | 0.6811 | 0.5303 | 0.6793 |
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+ | No log | 6.9412 | 118 | 0.6469 | 0.5504 | 0.6453 |
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+ | No log | 7.0588 | 120 | 0.6031 | 0.5779 | 0.6018 |
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+ | No log | 7.1765 | 122 | 0.6073 | 0.5800 | 0.6059 |
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+ | No log | 7.2941 | 124 | 0.6215 | 0.5636 | 0.6200 |
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+ | No log | 7.4118 | 126 | 0.6881 | 0.5394 | 0.6862 |
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+ | No log | 7.5294 | 128 | 0.7415 | 0.5163 | 0.7395 |
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+ | No log | 7.6471 | 130 | 0.7372 | 0.5194 | 0.7352 |
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+ | No log | 7.7647 | 132 | 0.6878 | 0.5221 | 0.6860 |
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+ | No log | 7.8824 | 134 | 0.6484 | 0.5397 | 0.6467 |
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+ | No log | 8.0 | 136 | 0.6265 | 0.5443 | 0.6250 |
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+ | No log | 8.1176 | 138 | 0.6341 | 0.5416 | 0.6325 |
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+ | No log | 8.2353 | 140 | 0.6558 | 0.5401 | 0.6541 |
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+ | No log | 8.3529 | 142 | 0.6638 | 0.5263 | 0.6621 |
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+ | No log | 8.4706 | 144 | 0.6606 | 0.5378 | 0.6589 |
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+ | No log | 8.5882 | 146 | 0.6408 | 0.5416 | 0.6392 |
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+ | No log | 8.7059 | 148 | 0.6283 | 0.5514 | 0.6267 |
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+ | No log | 8.8235 | 150 | 0.6390 | 0.5462 | 0.6374 |
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+ | No log | 8.9412 | 152 | 0.6538 | 0.5432 | 0.6522 |
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+ | No log | 9.0588 | 154 | 0.6607 | 0.5432 | 0.6590 |
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+ | No log | 9.1765 | 156 | 0.6707 | 0.5374 | 0.6690 |
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+ | No log | 9.2941 | 158 | 0.6864 | 0.5207 | 0.6846 |
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+ | No log | 9.4118 | 160 | 0.6949 | 0.5207 | 0.6931 |
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+ | No log | 9.5294 | 162 | 0.6950 | 0.5207 | 0.6932 |
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+ | No log | 9.6471 | 164 | 0.6884 | 0.5221 | 0.6866 |
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+ | No log | 9.7647 | 166 | 0.6794 | 0.5336 | 0.6777 |
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+ | No log | 9.8824 | 168 | 0.6756 | 0.5374 | 0.6739 |
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+ | No log | 10.0 | 170 | 0.6744 | 0.5374 | 0.6727 |
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  ### Framework versions