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arabert_cross_vocabulary_task3_fold1

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  1. README.md +36 -36
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_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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@@ -47,37 +47,37 @@ 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 | 0.0323 | 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
 
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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_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_vocabulary_task3_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: 0.5285
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+ - Qwk: 0.4405
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+ - Mse: 0.5285
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
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+ | No log | 0.0317 | 2 | 8.4052 | 0.0 | 8.4052 |
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+ | No log | 0.0635 | 4 | 5.1861 | -0.0063 | 5.1861 |
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+ | No log | 0.0952 | 6 | 2.9254 | 0.0185 | 2.9254 |
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+ | No log | 0.1270 | 8 | 1.8370 | 0.0864 | 1.8370 |
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+ | No log | 0.1587 | 10 | 1.1161 | 0.0869 | 1.1161 |
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+ | No log | 0.1905 | 12 | 0.8855 | 0.1061 | 0.8855 |
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+ | No log | 0.2222 | 14 | 1.2541 | 0.1523 | 1.2541 |
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+ | No log | 0.2540 | 16 | 1.9970 | 0.1566 | 1.9970 |
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+ | No log | 0.2857 | 18 | 1.0435 | 0.2378 | 1.0435 |
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+ | No log | 0.3175 | 20 | 0.6890 | 0.3618 | 0.6890 |
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+ | No log | 0.3492 | 22 | 0.5804 | 0.4399 | 0.5804 |
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+ | No log | 0.3810 | 24 | 0.5528 | 0.4709 | 0.5528 |
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+ | No log | 0.4127 | 26 | 0.5886 | 0.4445 | 0.5886 |
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+ | No log | 0.4444 | 28 | 0.8824 | 0.37 | 0.8824 |
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+ | No log | 0.4762 | 30 | 0.8947 | 0.3615 | 0.8947 |
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+ | No log | 0.5079 | 32 | 0.6729 | 0.4052 | 0.6729 |
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+ | No log | 0.5397 | 34 | 0.5355 | 0.4536 | 0.5355 |
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+ | No log | 0.5714 | 36 | 0.4786 | 0.4846 | 0.4786 |
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+ | No log | 0.6032 | 38 | 0.4704 | 0.4846 | 0.4704 |
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+ | No log | 0.6349 | 40 | 0.4945 | 0.4637 | 0.4945 |
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+ | No log | 0.6667 | 42 | 0.6100 | 0.4202 | 0.6100 |
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+ | No log | 0.6984 | 44 | 0.6733 | 0.3645 | 0.6733 |
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+ | No log | 0.7302 | 46 | 0.6704 | 0.3694 | 0.6704 |
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+ | No log | 0.7619 | 48 | 0.6390 | 0.3820 | 0.6390 |
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+ | No log | 0.7937 | 50 | 0.5726 | 0.4157 | 0.5726 |
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+ | No log | 0.8254 | 52 | 0.5435 | 0.4449 | 0.5435 |
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+ | No log | 0.8571 | 54 | 0.5097 | 0.4543 | 0.5097 |
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+ | No log | 0.8889 | 56 | 0.5010 | 0.4503 | 0.5010 |
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+ | No log | 0.9206 | 58 | 0.5122 | 0.4418 | 0.5122 |
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+ | No log | 0.9524 | 60 | 0.5275 | 0.4351 | 0.5275 |
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+ | No log | 0.9841 | 62 | 0.5285 | 0.4405 | 0.5285 |
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  ### Framework versions