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arabert_cross_relevance_task5_fold6

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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_cross_relevance_task5_fold5
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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_relevance_task5_fold5
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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: 0.1922
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- - Qwk: 0.3580
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- - Mse: 0.1919
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  ## Model description
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@@ -45,83 +45,88 @@ 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 | 0.1333 | 2 | 0.4644 | 0.1830 | 0.4641 |
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- | No log | 0.2667 | 4 | 0.3061 | 0.4777 | 0.3055 |
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- | No log | 0.4 | 6 | 0.3885 | 0.4275 | 0.3875 |
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- | No log | 0.5333 | 8 | 0.2978 | 0.1841 | 0.2972 |
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- | No log | 0.6667 | 10 | 0.3244 | 0.2335 | 0.3239 |
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- | No log | 0.8 | 12 | 0.2777 | 0.2095 | 0.2771 |
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- | No log | 0.9333 | 14 | 0.2770 | 0.1911 | 0.2763 |
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- | No log | 1.0667 | 16 | 0.3068 | 0.3049 | 0.3060 |
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- | No log | 1.2 | 18 | 0.2650 | 0.2682 | 0.2644 |
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- | No log | 1.3333 | 20 | 0.2449 | 0.2365 | 0.2444 |
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- | No log | 1.4667 | 22 | 0.2306 | 0.2508 | 0.2302 |
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- | No log | 1.6 | 24 | 0.2334 | 0.2651 | 0.2331 |
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- | No log | 1.7333 | 26 | 0.2396 | 0.2770 | 0.2393 |
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- | No log | 1.8667 | 28 | 0.2278 | 0.2629 | 0.2275 |
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- | No log | 2.0 | 30 | 0.2272 | 0.2894 | 0.2268 |
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- | No log | 2.1333 | 32 | 0.2158 | 0.2717 | 0.2154 |
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- | No log | 2.2667 | 34 | 0.1997 | 0.3126 | 0.1994 |
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- | No log | 2.4 | 36 | 0.1975 | 0.3434 | 0.1973 |
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- | No log | 2.5333 | 38 | 0.1903 | 0.3467 | 0.1901 |
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- | No log | 2.6667 | 40 | 0.1879 | 0.3399 | 0.1876 |
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- | No log | 2.8 | 42 | 0.2111 | 0.3205 | 0.2107 |
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- | No log | 2.9333 | 44 | 0.2195 | 0.3003 | 0.2190 |
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- | No log | 3.0667 | 46 | 0.2169 | 0.3061 | 0.2165 |
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- | No log | 3.2 | 48 | 0.2026 | 0.3222 | 0.2023 |
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- | No log | 3.3333 | 50 | 0.1934 | 0.3422 | 0.1932 |
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- | No log | 3.4667 | 52 | 0.1933 | 0.3499 | 0.1932 |
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- | No log | 3.6 | 54 | 0.1846 | 0.3467 | 0.1844 |
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- | No log | 3.7333 | 56 | 0.1877 | 0.3716 | 0.1875 |
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- | No log | 3.8667 | 58 | 0.1997 | 0.3725 | 0.1994 |
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- | No log | 4.0 | 60 | 0.2019 | 0.3697 | 0.2015 |
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- | No log | 4.1333 | 62 | 0.1966 | 0.3432 | 0.1964 |
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- | No log | 4.2667 | 64 | 0.1874 | 0.3434 | 0.1873 |
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- | No log | 4.4 | 66 | 0.1840 | 0.3478 | 0.1839 |
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- | No log | 4.5333 | 68 | 0.1812 | 0.3489 | 0.1811 |
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- | No log | 4.6667 | 70 | 0.1768 | 0.3640 | 0.1766 |
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- | No log | 4.8 | 72 | 0.1794 | 0.3697 | 0.1791 |
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- | No log | 4.9333 | 74 | 0.1855 | 0.3408 | 0.1852 |
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- | No log | 5.0667 | 76 | 0.1947 | 0.3577 | 0.1944 |
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- | No log | 5.2 | 78 | 0.1924 | 0.3596 | 0.1922 |
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- | No log | 5.3333 | 80 | 0.1912 | 0.3500 | 0.1909 |
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- | No log | 5.4667 | 82 | 0.1911 | 0.3544 | 0.1908 |
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- | No log | 5.6 | 84 | 0.1909 | 0.3475 | 0.1907 |
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- | No log | 5.7333 | 86 | 0.1914 | 0.3531 | 0.1912 |
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- | No log | 5.8667 | 88 | 0.1937 | 0.3477 | 0.1935 |
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- | No log | 6.0 | 90 | 0.1905 | 0.3498 | 0.1903 |
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- | No log | 6.1333 | 92 | 0.1863 | 0.3478 | 0.1861 |
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- | No log | 6.2667 | 94 | 0.1855 | 0.3587 | 0.1852 |
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- | No log | 6.4 | 96 | 0.1840 | 0.3632 | 0.1837 |
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- | No log | 6.5333 | 98 | 0.1808 | 0.3812 | 0.1805 |
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- | No log | 6.6667 | 100 | 0.1789 | 0.3737 | 0.1786 |
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- | No log | 6.8 | 102 | 0.1813 | 0.3848 | 0.1810 |
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- | No log | 6.9333 | 104 | 0.1837 | 0.3797 | 0.1834 |
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- | No log | 7.0667 | 106 | 0.1848 | 0.3579 | 0.1845 |
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- | No log | 7.2 | 108 | 0.1883 | 0.3484 | 0.1880 |
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- | No log | 7.3333 | 110 | 0.1935 | 0.3642 | 0.1933 |
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- | No log | 7.4667 | 112 | 0.1935 | 0.3624 | 0.1932 |
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- | No log | 7.6 | 114 | 0.1895 | 0.3453 | 0.1892 |
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- | No log | 7.7333 | 116 | 0.1882 | 0.3475 | 0.1878 |
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- | No log | 7.8667 | 118 | 0.1885 | 0.3565 | 0.1881 |
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- | No log | 8.0 | 120 | 0.1890 | 0.3621 | 0.1886 |
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- | No log | 8.1333 | 122 | 0.1888 | 0.3677 | 0.1884 |
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- | No log | 8.2667 | 124 | 0.1882 | 0.3724 | 0.1878 |
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- | No log | 8.4 | 126 | 0.1888 | 0.3733 | 0.1884 |
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- | No log | 8.5333 | 128 | 0.1883 | 0.3686 | 0.1879 |
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- | No log | 8.6667 | 130 | 0.1881 | 0.3658 | 0.1877 |
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- | No log | 8.8 | 132 | 0.1886 | 0.3517 | 0.1883 |
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- | No log | 8.9333 | 134 | 0.1903 | 0.3624 | 0.1900 |
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- | No log | 9.0667 | 136 | 0.1928 | 0.3633 | 0.1925 |
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- | No log | 9.2 | 138 | 0.1945 | 0.3650 | 0.1942 |
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- | No log | 9.3333 | 140 | 0.1953 | 0.3650 | 0.1950 |
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- | No log | 9.4667 | 142 | 0.1951 | 0.3650 | 0.1949 |
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- | No log | 9.6 | 144 | 0.1943 | 0.3641 | 0.1940 |
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- | No log | 9.7333 | 146 | 0.1931 | 0.3589 | 0.1928 |
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- | No log | 9.8667 | 148 | 0.1925 | 0.3580 | 0.1922 |
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- | No log | 10.0 | 150 | 0.1922 | 0.3580 | 0.1919 |
 
 
 
 
 
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task5_fold6
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
+ # arabert_cross_relevance_task5_fold6
14
 
15
  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: 0.3006
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+ - Qwk: 0.2137
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+ - Mse: 0.3007
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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 | 0.125 | 2 | 1.0217 | 0.0195 | 1.0225 |
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+ | No log | 0.25 | 4 | 0.4152 | 0.0535 | 0.4143 |
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+ | No log | 0.375 | 6 | 0.3599 | 0.0454 | 0.3596 |
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+ | No log | 0.5 | 8 | 0.3055 | 0.0426 | 0.3056 |
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+ | No log | 0.625 | 10 | 0.2854 | 0.0805 | 0.2861 |
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+ | No log | 0.75 | 12 | 0.2641 | 0.1393 | 0.2644 |
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+ | No log | 0.875 | 14 | 0.2524 | 0.1301 | 0.2527 |
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+ | No log | 1.0 | 16 | 0.2428 | 0.1915 | 0.2430 |
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+ | No log | 1.125 | 18 | 0.2426 | 0.1915 | 0.2428 |
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+ | No log | 1.25 | 20 | 0.2443 | 0.1915 | 0.2447 |
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+ | No log | 1.375 | 22 | 0.2471 | 0.1854 | 0.2474 |
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+ | No log | 1.5 | 24 | 0.2514 | 0.1890 | 0.2517 |
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+ | No log | 1.625 | 26 | 0.2516 | 0.1638 | 0.2519 |
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+ | No log | 1.75 | 28 | 0.2545 | 0.1467 | 0.2547 |
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+ | No log | 1.875 | 30 | 0.2544 | 0.1816 | 0.2547 |
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+ | No log | 2.0 | 32 | 0.2492 | 0.2200 | 0.2495 |
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+ | No log | 2.125 | 34 | 0.2568 | 0.2044 | 0.2572 |
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+ | No log | 2.25 | 36 | 0.2853 | 0.2266 | 0.2857 |
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+ | No log | 2.375 | 38 | 0.2827 | 0.2137 | 0.2831 |
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+ | No log | 2.5 | 40 | 0.2560 | 0.2018 | 0.2565 |
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+ | No log | 2.625 | 42 | 0.2538 | 0.2177 | 0.2543 |
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+ | No log | 2.75 | 44 | 0.2538 | 0.1854 | 0.2542 |
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+ | No log | 2.875 | 46 | 0.2581 | 0.2064 | 0.2584 |
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+ | No log | 3.0 | 48 | 0.2645 | 0.2064 | 0.2648 |
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+ | No log | 3.125 | 50 | 0.2629 | 0.1830 | 0.2631 |
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+ | No log | 3.25 | 52 | 0.2615 | 0.1539 | 0.2618 |
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+ | No log | 3.375 | 54 | 0.2644 | 0.1588 | 0.2646 |
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+ | No log | 3.5 | 56 | 0.2734 | 0.2119 | 0.2736 |
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+ | No log | 3.625 | 58 | 0.2799 | 0.2050 | 0.2801 |
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+ | No log | 3.75 | 60 | 0.2702 | 0.2050 | 0.2704 |
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+ | No log | 3.875 | 62 | 0.2549 | 0.1999 | 0.2553 |
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+ | No log | 4.0 | 64 | 0.2524 | 0.2274 | 0.2528 |
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+ | No log | 4.125 | 66 | 0.2506 | 0.2274 | 0.2510 |
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+ | No log | 4.25 | 68 | 0.2560 | 0.1999 | 0.2563 |
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+ | No log | 4.375 | 70 | 0.2850 | 0.2194 | 0.2853 |
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+ | No log | 4.5 | 72 | 0.3006 | 0.2282 | 0.3008 |
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+ | No log | 4.625 | 74 | 0.2929 | 0.2099 | 0.2931 |
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+ | No log | 4.75 | 76 | 0.2761 | 0.2109 | 0.2764 |
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+ | No log | 4.875 | 78 | 0.2669 | 0.2119 | 0.2671 |
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+ | No log | 5.0 | 80 | 0.2664 | 0.2057 | 0.2667 |
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+ | No log | 5.125 | 82 | 0.2687 | 0.2109 | 0.2689 |
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+ | No log | 5.25 | 84 | 0.2617 | 0.2109 | 0.2619 |
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+ | No log | 5.375 | 86 | 0.2588 | 0.2109 | 0.2590 |
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+ | No log | 5.5 | 88 | 0.2627 | 0.2050 | 0.2628 |
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+ | No log | 5.625 | 90 | 0.2860 | 0.2147 | 0.2861 |
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+ | No log | 5.75 | 92 | 0.3309 | 0.2252 | 0.3309 |
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+ | No log | 5.875 | 94 | 0.3340 | 0.2200 | 0.3341 |
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+ | No log | 6.0 | 96 | 0.3021 | 0.2083 | 0.3022 |
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+ | No log | 6.125 | 98 | 0.2691 | 0.2173 | 0.2694 |
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+ | No log | 6.25 | 100 | 0.2601 | 0.2200 | 0.2604 |
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+ | No log | 6.375 | 102 | 0.2632 | 0.2173 | 0.2635 |
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+ | No log | 6.5 | 104 | 0.2738 | 0.2220 | 0.2741 |
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+ | No log | 6.625 | 106 | 0.2881 | 0.2250 | 0.2884 |
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+ | No log | 6.75 | 108 | 0.3079 | 0.2127 | 0.3081 |
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+ | No log | 6.875 | 110 | 0.3154 | 0.2170 | 0.3156 |
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+ | No log | 7.0 | 112 | 0.3054 | 0.2137 | 0.3056 |
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+ | No log | 7.125 | 114 | 0.2897 | 0.2091 | 0.2899 |
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+ | No log | 7.25 | 116 | 0.2842 | 0.2044 | 0.2844 |
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+ | No log | 7.375 | 118 | 0.2794 | 0.2099 | 0.2796 |
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+ | No log | 7.5 | 120 | 0.2789 | 0.2099 | 0.2791 |
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+ | No log | 7.625 | 122 | 0.2813 | 0.2099 | 0.2814 |
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+ | No log | 7.75 | 124 | 0.2926 | 0.2091 | 0.2927 |
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+ | No log | 7.875 | 126 | 0.3068 | 0.2137 | 0.3069 |
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+ | No log | 8.0 | 128 | 0.3323 | 0.2118 | 0.3323 |
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+ | No log | 8.125 | 130 | 0.3463 | 0.2070 | 0.3463 |
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+ | No log | 8.25 | 132 | 0.3382 | 0.2118 | 0.3383 |
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+ | No log | 8.375 | 134 | 0.3313 | 0.2118 | 0.3314 |
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+ | No log | 8.5 | 136 | 0.3174 | 0.2137 | 0.3174 |
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+ | No log | 8.625 | 138 | 0.3049 | 0.2137 | 0.3050 |
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+ | No log | 8.75 | 140 | 0.3007 | 0.2137 | 0.3008 |
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+ | No log | 8.875 | 142 | 0.2970 | 0.2137 | 0.2971 |
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+ | No log | 9.0 | 144 | 0.2949 | 0.2137 | 0.2950 |
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+ | No log | 9.125 | 146 | 0.2966 | 0.2137 | 0.2967 |
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+ | No log | 9.25 | 148 | 0.2992 | 0.2137 | 0.2994 |
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+ | No log | 9.375 | 150 | 0.2997 | 0.2137 | 0.2999 |
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+ | No log | 9.5 | 152 | 0.3018 | 0.2137 | 0.3019 |
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+ | No log | 9.625 | 154 | 0.3012 | 0.2137 | 0.3013 |
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+ | No log | 9.75 | 156 | 0.3004 | 0.2137 | 0.3006 |
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+ | No log | 9.875 | 158 | 0.3005 | 0.2137 | 0.3006 |
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+ | No log | 10.0 | 160 | 0.3006 | 0.2137 | 0.3007 |
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  ### Framework versions