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arabert_baseline_relevance_task7_fold1

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  1. README.md +35 -35
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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_baseline_relevance_task7_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_baseline_relevance_task7_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: 0.1556
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- - Qwk: 0.3529
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- - Mse: 0.1556
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  ## Model description
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@@ -47,36 +47,36 @@ 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 | 0.3333 | 2 | 0.3146 | 0.1946 | 0.3146 |
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- | No log | 0.6667 | 4 | 0.2014 | 0.5139 | 0.2014 |
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- | No log | 1.0 | 6 | 0.3227 | 0.2282 | 0.3227 |
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- | No log | 1.3333 | 8 | 0.3751 | 0.2780 | 0.3751 |
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- | No log | 1.6667 | 10 | 0.1512 | 0.4083 | 0.1512 |
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- | No log | 2.0 | 12 | 0.1822 | 0.5139 | 0.1822 |
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- | No log | 2.3333 | 14 | 0.2006 | 0.3836 | 0.2006 |
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- | No log | 2.6667 | 16 | 0.1882 | 0.1946 | 0.1882 |
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- | No log | 3.0 | 18 | 0.1835 | 0.1946 | 0.1835 |
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- | No log | 3.3333 | 20 | 0.1790 | 0.2925 | 0.1790 |
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- | No log | 3.6667 | 22 | 0.1666 | 0.3365 | 0.1666 |
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- | No log | 4.0 | 24 | 0.1570 | 0.4012 | 0.1570 |
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- | No log | 4.3333 | 26 | 0.1650 | 0.5139 | 0.1650 |
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- | No log | 4.6667 | 28 | 0.1468 | 0.3919 | 0.1468 |
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- | No log | 5.0 | 30 | 0.1342 | 0.3919 | 0.1342 |
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- | No log | 5.3333 | 32 | 0.1362 | 0.3289 | 0.1362 |
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- | No log | 5.6667 | 34 | 0.1387 | 0.3289 | 0.1387 |
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- | No log | 6.0 | 36 | 0.1474 | 0.3919 | 0.1474 |
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- | No log | 6.3333 | 38 | 0.1652 | 0.3919 | 0.1652 |
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- | No log | 6.6667 | 40 | 0.1889 | 0.4483 | 0.1889 |
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- | No log | 7.0 | 42 | 0.1978 | 0.4483 | 0.1978 |
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- | No log | 7.3333 | 44 | 0.1910 | 0.4483 | 0.1910 |
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- | No log | 7.6667 | 46 | 0.1747 | 0.2568 | 0.1747 |
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- | No log | 8.0 | 48 | 0.1647 | 0.4083 | 0.1647 |
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- | No log | 8.3333 | 50 | 0.1586 | 0.4083 | 0.1586 |
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- | No log | 8.6667 | 52 | 0.1552 | 0.3529 | 0.1552 |
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- | No log | 9.0 | 54 | 0.1544 | 0.3529 | 0.1544 |
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- | No log | 9.3333 | 56 | 0.1548 | 0.3529 | 0.1548 |
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- | No log | 9.6667 | 58 | 0.1554 | 0.3529 | 0.1554 |
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- | No log | 10.0 | 60 | 0.1556 | 0.3529 | 0.1556 |
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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_baseline_relevance_task7_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_baseline_relevance_task7_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: 0.1811
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+ - Qwk: 0.4857
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+ - Mse: 0.1829
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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 | 0.3333 | 2 | 0.2365 | 0.3424 | 0.2296 |
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+ | No log | 0.6667 | 4 | 0.2621 | 0.4112 | 0.2567 |
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+ | No log | 1.0 | 6 | 0.3169 | 0.5670 | 0.3168 |
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+ | No log | 1.3333 | 8 | 0.3023 | 0.5145 | 0.2938 |
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+ | No log | 1.6667 | 10 | 0.2629 | 0.2310 | 0.2513 |
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+ | No log | 2.0 | 12 | 0.2208 | 0.4676 | 0.2109 |
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+ | No log | 2.3333 | 14 | 0.2071 | 0.5410 | 0.2005 |
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+ | No log | 2.6667 | 16 | 0.1961 | 0.5410 | 0.1905 |
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+ | No log | 3.0 | 18 | 0.1888 | 0.5093 | 0.1831 |
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+ | No log | 3.3333 | 20 | 0.1855 | 0.5093 | 0.1806 |
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+ | No log | 3.6667 | 22 | 0.1838 | 0.4967 | 0.1793 |
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+ | No log | 4.0 | 24 | 0.1870 | 0.4857 | 0.1820 |
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+ | No log | 4.3333 | 26 | 0.1864 | 0.4857 | 0.1822 |
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+ | No log | 4.6667 | 28 | 0.1812 | 0.4857 | 0.1788 |
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+ | No log | 5.0 | 30 | 0.1754 | 0.4857 | 0.1742 |
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+ | No log | 5.3333 | 32 | 0.1723 | 0.4967 | 0.1722 |
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+ | No log | 5.6667 | 34 | 0.1695 | 0.5695 | 0.1704 |
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+ | No log | 6.0 | 36 | 0.1654 | 0.5695 | 0.1667 |
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+ | No log | 6.3333 | 38 | 0.1652 | 0.5093 | 0.1667 |
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+ | No log | 6.6667 | 40 | 0.1707 | 0.4857 | 0.1722 |
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+ | No log | 7.0 | 42 | 0.1771 | 0.4857 | 0.1786 |
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+ | No log | 7.3333 | 44 | 0.1814 | 0.4857 | 0.1829 |
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+ | No log | 7.6667 | 46 | 0.1782 | 0.4857 | 0.1801 |
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+ | No log | 8.0 | 48 | 0.1775 | 0.5389 | 0.1799 |
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+ | No log | 8.3333 | 50 | 0.1799 | 0.5389 | 0.1824 |
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+ | No log | 8.6667 | 52 | 0.1801 | 0.5389 | 0.1825 |
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+ | No log | 9.0 | 54 | 0.1806 | 0.4857 | 0.1828 |
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+ | No log | 9.3333 | 56 | 0.1816 | 0.4857 | 0.1837 |
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+ | No log | 9.6667 | 58 | 0.1812 | 0.4857 | 0.1831 |
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+ | No log | 10.0 | 60 | 0.1811 | 0.4857 | 0.1829 |
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  ### Framework versions