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arabert_cross_vocabulary_task3_fold0

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  1. README.md +38 -37
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_vocabulary_task2_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_vocabulary_task2_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: 0.6523
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- - Qwk: 0.5530
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- - Mse: 0.6489
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  ## Model description
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@@ -45,38 +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 | 0.0328 | 2 | 1.8840 | 0.0145 | 1.8809 |
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- | No log | 0.0656 | 4 | 0.9359 | 0.2886 | 0.9294 |
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- | No log | 0.0984 | 6 | 0.7301 | 0.4326 | 0.7244 |
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- | No log | 0.1311 | 8 | 0.8788 | 0.4198 | 0.8649 |
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- | No log | 0.1639 | 10 | 2.1531 | 0.2129 | 2.1311 |
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- | No log | 0.1967 | 12 | 1.2200 | 0.3928 | 1.2071 |
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- | No log | 0.2295 | 14 | 0.4403 | 0.6916 | 0.4393 |
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- | No log | 0.2623 | 16 | 0.3920 | 0.7036 | 0.3922 |
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- | No log | 0.2951 | 18 | 0.5236 | 0.5366 | 0.5237 |
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- | No log | 0.3279 | 20 | 0.9738 | 0.4072 | 0.9738 |
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- | No log | 0.3607 | 22 | 1.2122 | 0.3697 | 1.2128 |
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- | No log | 0.3934 | 24 | 0.9504 | 0.4239 | 0.9509 |
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- | No log | 0.4262 | 26 | 0.7372 | 0.4925 | 0.7381 |
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- | No log | 0.4590 | 28 | 0.6200 | 0.5858 | 0.6206 |
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- | No log | 0.4918 | 30 | 0.5103 | 0.6451 | 0.5105 |
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- | No log | 0.5246 | 32 | 0.4884 | 0.6459 | 0.4883 |
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- | No log | 0.5574 | 34 | 0.5462 | 0.5996 | 0.5459 |
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- | No log | 0.5902 | 36 | 0.6834 | 0.5246 | 0.6825 |
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- | No log | 0.6230 | 38 | 0.7927 | 0.4864 | 0.7913 |
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- | No log | 0.6557 | 40 | 0.7801 | 0.4921 | 0.7782 |
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- | No log | 0.6885 | 42 | 0.6863 | 0.5236 | 0.6844 |
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- | No log | 0.7213 | 44 | 0.6421 | 0.5737 | 0.6400 |
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- | No log | 0.7541 | 46 | 0.5559 | 0.6240 | 0.5539 |
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- | No log | 0.7869 | 48 | 0.5296 | 0.6240 | 0.5276 |
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- | No log | 0.8197 | 50 | 0.5617 | 0.6101 | 0.5592 |
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- | No log | 0.8525 | 52 | 0.6106 | 0.5850 | 0.6076 |
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- | No log | 0.8852 | 54 | 0.6289 | 0.5711 | 0.6257 |
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- | No log | 0.9180 | 56 | 0.6469 | 0.5601 | 0.6435 |
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- | No log | 0.9508 | 58 | 0.6495 | 0.5530 | 0.6461 |
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- | No log | 0.9836 | 60 | 0.6523 | 0.5530 | 0.6489 |
 
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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_vocabulary_task3_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_vocabulary_task3_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: 0.6808
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+ - Qwk: 0.5680
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+ - Mse: 0.6804
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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 | 0.0323 | 2 | 4.4744 | -0.0256 | 4.4706 |
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+ | No log | 0.0645 | 4 | 2.3045 | 0.0249 | 2.3004 |
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+ | No log | 0.0968 | 6 | 1.2805 | 0.1391 | 1.2779 |
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+ | No log | 0.1290 | 8 | 1.0125 | 0.1335 | 1.0109 |
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+ | No log | 0.1613 | 10 | 1.0701 | 0.1914 | 1.0686 |
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+ | No log | 0.1935 | 12 | 1.2785 | 0.2037 | 1.2768 |
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+ | No log | 0.2258 | 14 | 1.2274 | 0.2479 | 1.2257 |
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+ | No log | 0.2581 | 16 | 1.0548 | 0.3135 | 1.0534 |
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+ | No log | 0.2903 | 18 | 0.9068 | 0.4200 | 0.9058 |
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+ | No log | 0.3226 | 20 | 0.8042 | 0.4719 | 0.8035 |
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+ | No log | 0.3548 | 22 | 0.7409 | 0.5318 | 0.7404 |
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+ | No log | 0.3871 | 24 | 0.7832 | 0.5356 | 0.7827 |
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+ | No log | 0.4194 | 26 | 0.8927 | 0.5031 | 0.8924 |
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+ | No log | 0.4516 | 28 | 1.1506 | 0.4441 | 1.1505 |
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+ | No log | 0.4839 | 30 | 1.4202 | 0.3909 | 1.4201 |
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+ | No log | 0.5161 | 32 | 1.1610 | 0.4441 | 1.1608 |
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+ | No log | 0.5484 | 34 | 0.8093 | 0.5444 | 0.8088 |
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+ | No log | 0.5806 | 36 | 0.6806 | 0.5981 | 0.6803 |
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+ | No log | 0.6129 | 38 | 0.6480 | 0.5752 | 0.6477 |
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+ | No log | 0.6452 | 40 | 0.6549 | 0.5691 | 0.6546 |
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+ | No log | 0.6774 | 42 | 0.7025 | 0.5317 | 0.7021 |
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+ | No log | 0.7097 | 44 | 0.7321 | 0.5105 | 0.7317 |
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+ | No log | 0.7419 | 46 | 0.7334 | 0.5066 | 0.7330 |
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+ | No log | 0.7742 | 48 | 0.7273 | 0.5221 | 0.7269 |
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+ | No log | 0.8065 | 50 | 0.7075 | 0.5309 | 0.7071 |
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+ | No log | 0.8387 | 52 | 0.6855 | 0.5374 | 0.6852 |
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+ | No log | 0.8710 | 54 | 0.6736 | 0.5635 | 0.6733 |
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+ | No log | 0.9032 | 56 | 0.6784 | 0.5680 | 0.6781 |
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+ | No log | 0.9355 | 58 | 0.6858 | 0.5657 | 0.6855 |
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+ | No log | 0.9677 | 60 | 0.6828 | 0.5669 | 0.6825 |
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+ | No log | 1.0 | 62 | 0.6808 | 0.5680 | 0.6804 |
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  ### Framework versions