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arabert_cross_organization_task5_fold0

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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_task4_fold6
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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_task4_fold6
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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: 0.5671
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- - Qwk: 0.6088
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- - Mse: 0.5665
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  ## Model description
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@@ -47,96 +47,81 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.1111 | 2 | 1.6087 | 0.0446 | 1.6095 |
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- | No log | 0.2222 | 4 | 1.0873 | 0.0325 | 1.0875 |
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- | No log | 0.3333 | 6 | 0.9052 | 0.3977 | 0.9045 |
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- | No log | 0.4444 | 8 | 0.7546 | 0.3836 | 0.7542 |
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- | No log | 0.5556 | 10 | 0.5626 | 0.4920 | 0.5622 |
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- | No log | 0.6667 | 12 | 0.5049 | 0.6220 | 0.5048 |
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- | No log | 0.7778 | 14 | 0.6046 | 0.5251 | 0.6033 |
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- | No log | 0.8889 | 16 | 0.4861 | 0.6302 | 0.4861 |
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- | No log | 1.0 | 18 | 0.6306 | 0.6759 | 0.6318 |
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- | No log | 1.1111 | 20 | 0.5794 | 0.7289 | 0.5803 |
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- | No log | 1.2222 | 22 | 0.4351 | 0.6154 | 0.4348 |
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- | No log | 1.3333 | 24 | 0.5139 | 0.5149 | 0.5133 |
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- | No log | 1.4444 | 26 | 0.4487 | 0.5967 | 0.4481 |
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- | No log | 1.5556 | 28 | 0.4505 | 0.7663 | 0.4507 |
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- | No log | 1.6667 | 30 | 0.4917 | 0.7702 | 0.4921 |
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- | No log | 1.7778 | 32 | 0.4432 | 0.6859 | 0.4426 |
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- | No log | 1.8889 | 34 | 0.5427 | 0.5673 | 0.5415 |
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- | No log | 2.0 | 36 | 0.5133 | 0.5536 | 0.5122 |
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- | No log | 2.1111 | 38 | 0.4171 | 0.6515 | 0.4166 |
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- | No log | 2.2222 | 40 | 0.4265 | 0.6951 | 0.4260 |
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- | No log | 2.3333 | 42 | 0.4487 | 0.6401 | 0.4480 |
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- | No log | 2.4444 | 44 | 0.5093 | 0.5826 | 0.5082 |
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- | No log | 2.5556 | 46 | 0.5193 | 0.5750 | 0.5182 |
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- | No log | 2.6667 | 48 | 0.4705 | 0.6472 | 0.4699 |
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- | No log | 2.7778 | 50 | 0.4668 | 0.7101 | 0.4666 |
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- | No log | 2.8889 | 52 | 0.4574 | 0.7064 | 0.4572 |
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- | No log | 3.0 | 54 | 0.4490 | 0.6031 | 0.4485 |
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- | No log | 3.1111 | 56 | 0.5005 | 0.5434 | 0.4998 |
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- | No log | 3.2222 | 58 | 0.4728 | 0.5714 | 0.4721 |
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- | No log | 3.3333 | 60 | 0.4444 | 0.6493 | 0.4440 |
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- | No log | 3.4444 | 62 | 0.4764 | 0.6914 | 0.4760 |
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- | No log | 3.5556 | 64 | 0.5124 | 0.6726 | 0.5118 |
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- | No log | 3.6667 | 66 | 0.5636 | 0.5952 | 0.5627 |
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- | No log | 3.7778 | 68 | 0.5479 | 0.5977 | 0.5469 |
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- | No log | 3.8889 | 70 | 0.5130 | 0.6191 | 0.5121 |
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- | No log | 4.0 | 72 | 0.4884 | 0.6461 | 0.4879 |
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- | No log | 4.1111 | 74 | 0.4839 | 0.5980 | 0.4832 |
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- | No log | 4.2222 | 76 | 0.5315 | 0.5457 | 0.5305 |
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- | No log | 4.3333 | 78 | 0.5336 | 0.5465 | 0.5326 |
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- | No log | 4.4444 | 80 | 0.4907 | 0.5701 | 0.4901 |
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- | No log | 4.5556 | 82 | 0.4836 | 0.6726 | 0.4834 |
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- | No log | 4.6667 | 84 | 0.5058 | 0.6880 | 0.5058 |
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- | No log | 4.7778 | 86 | 0.5131 | 0.6355 | 0.5127 |
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- | No log | 4.8889 | 88 | 0.6336 | 0.5424 | 0.6325 |
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- | No log | 5.0 | 90 | 0.7217 | 0.5167 | 0.7203 |
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- | No log | 5.1111 | 92 | 0.6484 | 0.5394 | 0.6473 |
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- | No log | 5.2222 | 94 | 0.5239 | 0.6047 | 0.5234 |
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- | No log | 5.3333 | 96 | 0.4960 | 0.6591 | 0.4957 |
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- | No log | 5.4444 | 98 | 0.4958 | 0.6725 | 0.4956 |
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- | No log | 5.5556 | 100 | 0.5131 | 0.6097 | 0.5126 |
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- | No log | 5.6667 | 102 | 0.5789 | 0.5640 | 0.5779 |
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- | No log | 5.7778 | 104 | 0.6393 | 0.5598 | 0.6380 |
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- | No log | 5.8889 | 106 | 0.6013 | 0.5640 | 0.6003 |
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- | No log | 6.0 | 108 | 0.5576 | 0.6085 | 0.5569 |
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- | No log | 6.1111 | 110 | 0.5394 | 0.6682 | 0.5389 |
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- | No log | 6.2222 | 112 | 0.5429 | 0.6569 | 0.5424 |
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- | No log | 6.3333 | 114 | 0.5841 | 0.5873 | 0.5832 |
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- | No log | 6.4444 | 116 | 0.6113 | 0.5642 | 0.6102 |
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- | No log | 6.5556 | 118 | 0.5828 | 0.5631 | 0.5818 |
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- | No log | 6.6667 | 120 | 0.5283 | 0.6190 | 0.5277 |
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- | No log | 6.7778 | 122 | 0.5137 | 0.6474 | 0.5132 |
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- | No log | 6.8889 | 124 | 0.5253 | 0.6135 | 0.5246 |
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- | No log | 7.0 | 126 | 0.5588 | 0.5693 | 0.5579 |
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- | No log | 7.1111 | 128 | 0.5741 | 0.5644 | 0.5732 |
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- | No log | 7.2222 | 130 | 0.5814 | 0.5627 | 0.5805 |
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- | No log | 7.3333 | 132 | 0.5510 | 0.5687 | 0.5502 |
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- | No log | 7.4444 | 134 | 0.5316 | 0.6227 | 0.5311 |
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- | No log | 7.5556 | 136 | 0.5345 | 0.6034 | 0.5339 |
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- | No log | 7.6667 | 138 | 0.5500 | 0.5709 | 0.5493 |
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- | No log | 7.7778 | 140 | 0.5557 | 0.5748 | 0.5551 |
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- | No log | 7.8889 | 142 | 0.5534 | 0.5855 | 0.5528 |
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- | No log | 8.0 | 144 | 0.5613 | 0.5748 | 0.5606 |
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- | No log | 8.1111 | 146 | 0.5663 | 0.5748 | 0.5657 |
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- | No log | 8.2222 | 148 | 0.5748 | 0.5709 | 0.5741 |
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- | No log | 8.3333 | 150 | 0.5887 | 0.5693 | 0.5880 |
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- | No log | 8.4444 | 152 | 0.5802 | 0.5858 | 0.5796 |
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- | No log | 8.5556 | 154 | 0.5690 | 0.6232 | 0.5685 |
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- | No log | 8.6667 | 156 | 0.5680 | 0.6356 | 0.5676 |
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- | No log | 8.7778 | 158 | 0.5770 | 0.6074 | 0.5764 |
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- | No log | 8.8889 | 160 | 0.5943 | 0.5640 | 0.5935 |
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- | No log | 9.0 | 162 | 0.6147 | 0.5503 | 0.6138 |
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- | No log | 9.1111 | 164 | 0.6207 | 0.5539 | 0.6198 |
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- | No log | 9.2222 | 166 | 0.6153 | 0.5503 | 0.6144 |
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- | No log | 9.3333 | 168 | 0.5994 | 0.5602 | 0.5986 |
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- | No log | 9.4444 | 170 | 0.5838 | 0.5640 | 0.5830 |
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- | No log | 9.5556 | 172 | 0.5750 | 0.5795 | 0.5744 |
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- | No log | 9.6667 | 174 | 0.5688 | 0.5982 | 0.5682 |
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- | No log | 9.7778 | 176 | 0.5665 | 0.6054 | 0.5659 |
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- | No log | 9.8889 | 178 | 0.5665 | 0.6054 | 0.5659 |
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- | No log | 10.0 | 180 | 0.5671 | 0.6088 | 0.5665 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task5_fold0
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_task5_fold0
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.
16
  It achieves the following results on the evaluation set:
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+ - Loss: 0.8536
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+ - Qwk: 0.5305
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+ - Mse: 0.8521
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21
  ## Model description
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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 | 2.8325 | 0.0355 | 2.8291 |
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+ | No log | 0.2667 | 4 | 1.6790 | 0.2071 | 1.6769 |
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+ | No log | 0.4 | 6 | 1.2491 | 0.3232 | 1.2479 |
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+ | No log | 0.5333 | 8 | 1.0946 | 0.4006 | 1.0940 |
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+ | No log | 0.6667 | 10 | 0.9240 | 0.5244 | 0.9238 |
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+ | No log | 0.8 | 12 | 1.0994 | 0.4812 | 1.0991 |
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+ | No log | 0.9333 | 14 | 1.0985 | 0.4785 | 1.0981 |
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+ | No log | 1.0667 | 16 | 0.9091 | 0.5213 | 0.9088 |
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+ | No log | 1.2 | 18 | 0.8691 | 0.5235 | 0.8687 |
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+ | No log | 1.3333 | 20 | 1.1009 | 0.4480 | 1.1002 |
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+ | No log | 1.4667 | 22 | 0.9916 | 0.4796 | 0.9909 |
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+ | No log | 1.6 | 24 | 0.8206 | 0.5231 | 0.8200 |
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+ | No log | 1.7333 | 26 | 0.8819 | 0.5255 | 0.8812 |
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+ | No log | 1.8667 | 28 | 1.1165 | 0.4625 | 1.1156 |
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+ | No log | 2.0 | 30 | 0.9537 | 0.5260 | 0.9531 |
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+ | No log | 2.1333 | 32 | 0.7775 | 0.6092 | 0.7773 |
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+ | No log | 2.2667 | 34 | 0.8262 | 0.5792 | 0.8258 |
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+ | No log | 2.4 | 36 | 0.9527 | 0.5326 | 0.9519 |
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+ | No log | 2.5333 | 38 | 0.8990 | 0.5382 | 0.8983 |
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+ | No log | 2.6667 | 40 | 0.7673 | 0.6124 | 0.7669 |
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+ | No log | 2.8 | 42 | 0.7340 | 0.6181 | 0.7335 |
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+ | No log | 2.9333 | 44 | 0.8826 | 0.5543 | 0.8815 |
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+ | No log | 3.0667 | 46 | 1.2982 | 0.4128 | 1.2965 |
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+ | No log | 3.2 | 48 | 1.1748 | 0.4370 | 1.1731 |
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+ | No log | 3.3333 | 50 | 0.7851 | 0.5568 | 0.7840 |
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+ | No log | 3.4667 | 52 | 0.6933 | 0.6150 | 0.6924 |
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+ | No log | 3.6 | 54 | 0.7593 | 0.5656 | 0.7582 |
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+ | No log | 3.7333 | 56 | 0.9243 | 0.4943 | 0.9229 |
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+ | No log | 3.8667 | 58 | 0.9098 | 0.5117 | 0.9084 |
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+ | No log | 4.0 | 60 | 0.7896 | 0.5674 | 0.7885 |
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+ | No log | 4.1333 | 62 | 0.7231 | 0.6204 | 0.7224 |
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+ | No log | 4.2667 | 64 | 0.7654 | 0.6006 | 0.7646 |
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+ | No log | 4.4 | 66 | 0.8645 | 0.5394 | 0.8632 |
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+ | No log | 4.5333 | 68 | 0.8997 | 0.5331 | 0.8983 |
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+ | No log | 4.6667 | 70 | 0.7948 | 0.5651 | 0.7936 |
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+ | No log | 4.8 | 72 | 0.7556 | 0.5765 | 0.7545 |
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+ | No log | 4.9333 | 74 | 0.7815 | 0.5752 | 0.7803 |
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+ | No log | 5.0667 | 76 | 0.7767 | 0.5824 | 0.7755 |
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+ | No log | 5.2 | 78 | 0.8240 | 0.5627 | 0.8228 |
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+ | No log | 5.3333 | 80 | 0.8544 | 0.5524 | 0.8531 |
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+ | No log | 5.4667 | 82 | 0.8799 | 0.5383 | 0.8785 |
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+ | No log | 5.6 | 84 | 0.8068 | 0.5637 | 0.8055 |
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+ | No log | 5.7333 | 86 | 0.7866 | 0.5790 | 0.7853 |
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+ | No log | 5.8667 | 88 | 0.8602 | 0.5505 | 0.8588 |
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+ | No log | 6.0 | 90 | 0.8403 | 0.5508 | 0.8390 |
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+ | No log | 6.1333 | 92 | 0.7915 | 0.5599 | 0.7903 |
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+ | No log | 6.2667 | 94 | 0.7576 | 0.5889 | 0.7565 |
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+ | No log | 6.4 | 96 | 0.7814 | 0.5709 | 0.7802 |
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+ | No log | 6.5333 | 98 | 0.7840 | 0.5682 | 0.7828 |
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+ | No log | 6.6667 | 100 | 0.8376 | 0.5500 | 0.8362 |
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+ | No log | 6.8 | 102 | 0.8823 | 0.5259 | 0.8808 |
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+ | No log | 6.9333 | 104 | 0.8409 | 0.5388 | 0.8395 |
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+ | No log | 7.0667 | 106 | 0.7908 | 0.5700 | 0.7895 |
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+ | No log | 7.2 | 108 | 0.8370 | 0.5398 | 0.8356 |
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+ | No log | 7.3333 | 110 | 0.9465 | 0.5061 | 0.9448 |
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+ | No log | 7.4667 | 112 | 0.9805 | 0.4909 | 0.9787 |
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+ | No log | 7.6 | 114 | 0.8809 | 0.5217 | 0.8793 |
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+ | No log | 7.7333 | 116 | 0.7546 | 0.5828 | 0.7533 |
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+ | No log | 7.8667 | 118 | 0.7282 | 0.5855 | 0.7270 |
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+ | No log | 8.0 | 120 | 0.7740 | 0.5703 | 0.7727 |
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+ | No log | 8.1333 | 122 | 0.8664 | 0.5129 | 0.8649 |
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+ | No log | 8.2667 | 124 | 0.8853 | 0.5069 | 0.8838 |
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+ | No log | 8.4 | 126 | 0.8189 | 0.5483 | 0.8175 |
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+ | No log | 8.5333 | 128 | 0.7717 | 0.5683 | 0.7704 |
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+ | No log | 8.6667 | 130 | 0.7625 | 0.5761 | 0.7613 |
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+ | No log | 8.8 | 132 | 0.7903 | 0.5682 | 0.7890 |
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+ | No log | 8.9333 | 134 | 0.8518 | 0.5384 | 0.8503 |
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+ | No log | 9.0667 | 136 | 0.9168 | 0.5056 | 0.9152 |
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+ | No log | 9.2 | 138 | 0.9669 | 0.4922 | 0.9652 |
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+ | No log | 9.3333 | 140 | 0.9617 | 0.4944 | 0.9600 |
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+ | No log | 9.4667 | 142 | 0.9232 | 0.5081 | 0.9216 |
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+ | No log | 9.6 | 144 | 0.8847 | 0.5249 | 0.8831 |
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+ | No log | 9.7333 | 146 | 0.8666 | 0.5296 | 0.8651 |
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+ | No log | 9.8667 | 148 | 0.8562 | 0.5305 | 0.8547 |
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+ | No log | 10.0 | 150 | 0.8536 | 0.5305 | 0.8521 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions