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arabert_cross_vocabulary_task3_fold2

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  1. README.md +40 -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_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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@@ -47,37 +47,41 @@ 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 | 0.0317 | 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
 
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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_fold2
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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_fold2
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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: 1.2889
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+ - Qwk: 0.1455
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+ - Mse: 1.2889
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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 | 0.0282 | 2 | 8.9247 | 0.0 | 8.9247 |
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+ | No log | 0.0563 | 4 | 6.0585 | -0.0018 | 6.0585 |
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+ | No log | 0.0845 | 6 | 3.3683 | 0.0 | 3.3683 |
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+ | No log | 0.1127 | 8 | 1.9295 | 0.0353 | 1.9295 |
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+ | No log | 0.1408 | 10 | 1.1575 | 0.0 | 1.1575 |
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+ | No log | 0.1690 | 12 | 0.8179 | 0.0531 | 0.8179 |
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+ | No log | 0.1972 | 14 | 0.7602 | -0.0155 | 0.7602 |
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+ | No log | 0.2254 | 16 | 0.7582 | -0.0014 | 0.7582 |
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+ | No log | 0.2535 | 18 | 0.7660 | 0.0643 | 0.7660 |
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+ | No log | 0.2817 | 20 | 0.7464 | 0.0434 | 0.7464 |
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+ | No log | 0.3099 | 22 | 0.7568 | 0.0 | 0.7568 |
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+ | No log | 0.3380 | 24 | 0.7822 | 0.0 | 0.7822 |
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+ | No log | 0.3662 | 26 | 0.8311 | 0.0 | 0.8311 |
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+ | No log | 0.3944 | 28 | 0.8980 | 0.0 | 0.8980 |
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+ | No log | 0.4225 | 30 | 0.9093 | 0.0 | 0.9093 |
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+ | No log | 0.4507 | 32 | 0.8669 | 0.0 | 0.8669 |
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+ | No log | 0.4789 | 34 | 0.8507 | 0.0 | 0.8507 |
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+ | No log | 0.5070 | 36 | 0.8627 | 0.0 | 0.8627 |
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+ | No log | 0.5352 | 38 | 0.8443 | 0.0 | 0.8443 |
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+ | No log | 0.5634 | 40 | 0.8722 | 0.0 | 0.8722 |
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+ | No log | 0.5915 | 42 | 0.9229 | 0.0 | 0.9229 |
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+ | No log | 0.6197 | 44 | 0.9827 | 0.0 | 0.9827 |
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+ | No log | 0.6479 | 46 | 1.0396 | 0.0 | 1.0396 |
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+ | No log | 0.6761 | 48 | 1.1196 | 0.0 | 1.1196 |
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+ | No log | 0.7042 | 50 | 1.1654 | 0.0 | 1.1654 |
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+ | No log | 0.7324 | 52 | 1.1934 | 0.0086 | 1.1934 |
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+ | No log | 0.7606 | 54 | 1.2497 | 0.0603 | 1.2497 |
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+ | No log | 0.7887 | 56 | 1.2723 | 0.0272 | 1.2723 |
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+ | No log | 0.8169 | 58 | 1.2595 | 0.1040 | 1.2595 |
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+ | No log | 0.8451 | 60 | 1.2516 | 0.1696 | 1.2516 |
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+ | No log | 0.8732 | 62 | 1.2442 | 0.1807 | 1.2442 |
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+ | No log | 0.9014 | 64 | 1.2514 | 0.1696 | 1.2514 |
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+ | No log | 0.9296 | 66 | 1.2627 | 0.1524 | 1.2627 |
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+ | No log | 0.9577 | 68 | 1.2780 | 0.1455 | 1.2780 |
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+ | No log | 0.9859 | 70 | 1.2889 | 0.1455 | 1.2889 |
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  ### Framework versions