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arabert_cross_vocabulary_task2_fold3

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  1. README.md +35 -39
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_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_task2_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: 0.7896
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- - Qwk: -0.0578
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- - Mse: 0.7896
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  ## Model description
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@@ -45,40 +45,36 @@ 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 | 0.0308 | 2 | 8.5786 | 0.0 | 8.5786 |
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- | No log | 0.0615 | 4 | 4.7361 | 0.0027 | 4.7361 |
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- | No log | 0.0923 | 6 | 2.4849 | -0.0164 | 2.4849 |
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- | No log | 0.1231 | 8 | 1.0682 | 0.0 | 1.0682 |
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- | No log | 0.1538 | 10 | 1.0484 | -0.2071 | 1.0484 |
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- | No log | 0.1846 | 12 | 1.1580 | -0.1541 | 1.1580 |
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- | No log | 0.2154 | 14 | 0.7197 | 0.0071 | 0.7197 |
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- | No log | 0.2462 | 16 | 0.7275 | 0.1341 | 0.7275 |
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- | No log | 0.2769 | 18 | 0.8223 | 0.0676 | 0.8223 |
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- | No log | 0.3077 | 20 | 0.8068 | 0.0447 | 0.8068 |
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- | No log | 0.3385 | 22 | 0.7532 | -0.0157 | 0.7532 |
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- | No log | 0.3692 | 24 | 0.7525 | -0.0155 | 0.7525 |
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- | No log | 0.4 | 26 | 0.7808 | -0.0217 | 0.7808 |
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- | No log | 0.4308 | 28 | 0.7874 | -0.0658 | 0.7874 |
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- | No log | 0.4615 | 30 | 0.7780 | 0.0 | 0.7780 |
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- | No log | 0.4923 | 32 | 0.8462 | 0.0 | 0.8462 |
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- | No log | 0.5231 | 34 | 0.9212 | 0.0 | 0.9212 |
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- | No log | 0.5538 | 36 | 0.9624 | 0.0 | 0.9624 |
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- | No log | 0.5846 | 38 | 0.9977 | 0.0 | 0.9977 |
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- | No log | 0.6154 | 40 | 0.9965 | 0.0 | 0.9965 |
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- | No log | 0.6462 | 42 | 0.9605 | 0.0 | 0.9605 |
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- | No log | 0.6769 | 44 | 0.8767 | 0.0 | 0.8767 |
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- | No log | 0.7077 | 46 | 0.8153 | 0.0 | 0.8153 |
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- | No log | 0.7385 | 48 | 0.7919 | 0.0 | 0.7919 |
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- | No log | 0.7692 | 50 | 0.7850 | -0.0371 | 0.7850 |
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- | No log | 0.8 | 52 | 0.7871 | -0.0777 | 0.7871 |
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- | No log | 0.8308 | 54 | 0.7856 | -0.0777 | 0.7856 |
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- | No log | 0.8615 | 56 | 0.7873 | -0.0777 | 0.7873 |
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- | No log | 0.8923 | 58 | 0.7877 | -0.0578 | 0.7877 |
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- | No log | 0.9231 | 60 | 0.7921 | -0.0777 | 0.7921 |
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- | No log | 0.9538 | 62 | 0.7919 | -0.0777 | 0.7919 |
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- | No log | 0.9846 | 64 | 0.7896 | -0.0578 | 0.7896 |
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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_task2_fold3
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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_fold3
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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: 0.7212
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+ - Qwk: 0.7957
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+ - Mse: 0.7212
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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 | 0.0351 | 2 | 3.3323 | 0.0213 | 3.3323 |
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+ | No log | 0.0702 | 4 | 2.0333 | 0.1468 | 2.0333 |
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+ | No log | 0.1053 | 6 | 1.4923 | 0.3102 | 1.4923 |
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+ | No log | 0.1404 | 8 | 1.6734 | 0.3305 | 1.6734 |
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+ | No log | 0.1754 | 10 | 1.7352 | 0.2966 | 1.7352 |
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+ | No log | 0.2105 | 12 | 1.6360 | 0.2588 | 1.6360 |
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+ | No log | 0.2456 | 14 | 1.5076 | 0.2925 | 1.5076 |
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+ | No log | 0.2807 | 16 | 1.3433 | 0.3646 | 1.3433 |
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+ | No log | 0.3158 | 18 | 1.2343 | 0.4245 | 1.2343 |
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+ | No log | 0.3509 | 20 | 1.1517 | 0.5033 | 1.1517 |
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+ | No log | 0.3860 | 22 | 1.1391 | 0.6144 | 1.1391 |
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+ | No log | 0.4211 | 24 | 1.1438 | 0.6514 | 1.1438 |
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+ | No log | 0.4561 | 26 | 1.1808 | 0.6567 | 1.1808 |
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+ | No log | 0.4912 | 28 | 1.1197 | 0.7055 | 1.1197 |
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+ | No log | 0.5263 | 30 | 0.9660 | 0.7854 | 0.9660 |
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+ | No log | 0.5614 | 32 | 0.8893 | 0.7754 | 0.8893 |
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+ | No log | 0.5965 | 34 | 0.8546 | 0.7866 | 0.8546 |
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+ | No log | 0.6316 | 36 | 0.9013 | 0.7896 | 0.9013 |
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+ | No log | 0.6667 | 38 | 0.9216 | 0.8034 | 0.9216 |
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+ | No log | 0.7018 | 40 | 0.9057 | 0.7971 | 0.9057 |
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+ | No log | 0.7368 | 42 | 0.8462 | 0.7814 | 0.8462 |
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+ | No log | 0.7719 | 44 | 0.7936 | 0.7892 | 0.7936 |
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+ | No log | 0.8070 | 46 | 0.7517 | 0.8069 | 0.7517 |
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+ | No log | 0.8421 | 48 | 0.7133 | 0.7975 | 0.7133 |
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+ | No log | 0.8772 | 50 | 0.6939 | 0.7967 | 0.6939 |
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+ | No log | 0.9123 | 52 | 0.7043 | 0.7937 | 0.7043 |
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+ | No log | 0.9474 | 54 | 0.7171 | 0.7957 | 0.7171 |
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+ | No log | 0.9825 | 56 | 0.7212 | 0.7957 | 0.7212 |
 
 
 
 
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  ### Framework versions