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arabert_cross_relevance_task2_fold5

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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_task2_fold4
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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_task2_fold4
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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: 0.4006
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- - Qwk: 0.2250
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- - Mse: 0.4006
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  ## Model description
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@@ -45,88 +45,83 @@ 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 | 0.125 | 2 | 1.1063 | 0.0234 | 1.1063 |
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- | No log | 0.25 | 4 | 0.4473 | 0.1039 | 0.4473 |
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- | No log | 0.375 | 6 | 0.4088 | 0.2073 | 0.4088 |
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- | No log | 0.5 | 8 | 0.4319 | 0.2351 | 0.4319 |
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- | No log | 0.625 | 10 | 0.2875 | 0.2401 | 0.2875 |
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- | No log | 0.75 | 12 | 0.2836 | 0.2194 | 0.2836 |
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- | No log | 0.875 | 14 | 0.3021 | 0.2575 | 0.3021 |
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- | No log | 1.0 | 16 | 0.2942 | 0.2831 | 0.2942 |
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- | No log | 1.125 | 18 | 0.3155 | 0.2508 | 0.3155 |
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- | No log | 1.25 | 20 | 0.2964 | 0.2787 | 0.2964 |
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- | No log | 1.375 | 22 | 0.2774 | 0.2820 | 0.2774 |
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- | No log | 1.5 | 24 | 0.2398 | 0.3029 | 0.2398 |
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- | No log | 1.625 | 26 | 0.2524 | 0.2501 | 0.2524 |
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- | No log | 1.75 | 28 | 0.2680 | 0.2390 | 0.2680 |
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- | No log | 1.875 | 30 | 0.2581 | 0.2579 | 0.2581 |
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- | No log | 2.0 | 32 | 0.2540 | 0.2787 | 0.2540 |
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- | No log | 2.125 | 34 | 0.2836 | 0.3308 | 0.2836 |
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- | No log | 2.25 | 36 | 0.3870 | 0.2114 | 0.3870 |
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- | No log | 2.375 | 38 | 0.4205 | 0.2269 | 0.4205 |
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- | No log | 2.5 | 40 | 0.3210 | 0.2236 | 0.3210 |
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- | No log | 2.625 | 42 | 0.2478 | 0.4116 | 0.2478 |
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- | No log | 2.75 | 44 | 0.2382 | 0.3767 | 0.2382 |
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- | No log | 2.875 | 46 | 0.2494 | 0.2579 | 0.2494 |
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- | No log | 3.0 | 48 | 0.3000 | 0.2553 | 0.3000 |
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- | No log | 3.125 | 50 | 0.3533 | 0.2028 | 0.3533 |
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- | No log | 3.25 | 52 | 0.3681 | 0.2209 | 0.3681 |
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- | No log | 3.375 | 54 | 0.3235 | 0.2270 | 0.3235 |
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- | No log | 3.5 | 56 | 0.2844 | 0.2648 | 0.2844 |
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- | No log | 3.625 | 58 | 0.2941 | 0.2428 | 0.2941 |
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- | No log | 3.75 | 60 | 0.3737 | 0.2222 | 0.3737 |
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- | No log | 3.875 | 62 | 0.4306 | 0.2146 | 0.4306 |
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- | No log | 4.0 | 64 | 0.4279 | 0.2146 | 0.4279 |
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- | No log | 4.125 | 66 | 0.3959 | 0.2155 | 0.3959 |
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- | No log | 4.25 | 68 | 0.3136 | 0.2441 | 0.3136 |
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- | No log | 4.375 | 70 | 0.2972 | 0.2593 | 0.2972 |
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- | No log | 4.5 | 72 | 0.2889 | 0.2677 | 0.2889 |
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- | No log | 4.625 | 74 | 0.3100 | 0.2489 | 0.3100 |
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- | No log | 4.75 | 76 | 0.3614 | 0.2425 | 0.3614 |
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- | No log | 4.875 | 78 | 0.3949 | 0.2337 | 0.3949 |
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- | No log | 5.0 | 80 | 0.4746 | 0.1752 | 0.4746 |
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- | No log | 5.125 | 82 | 0.4462 | 0.1969 | 0.4462 |
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- | No log | 5.25 | 84 | 0.3424 | 0.2572 | 0.3424 |
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- | No log | 5.375 | 86 | 0.3171 | 0.2798 | 0.3171 |
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- | No log | 5.5 | 88 | 0.3687 | 0.2452 | 0.3687 |
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- | No log | 5.625 | 90 | 0.4496 | 0.1969 | 0.4496 |
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- | No log | 5.75 | 92 | 0.4134 | 0.2126 | 0.4134 |
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- | No log | 5.875 | 94 | 0.3763 | 0.2172 | 0.3763 |
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- | No log | 6.0 | 96 | 0.3924 | 0.2106 | 0.3924 |
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- | No log | 6.125 | 98 | 0.3918 | 0.2106 | 0.3918 |
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- | No log | 6.25 | 100 | 0.4398 | 0.2029 | 0.4398 |
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- | No log | 6.375 | 102 | 0.5008 | 0.1879 | 0.5008 |
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- | No log | 6.5 | 104 | 0.4898 | 0.1781 | 0.4898 |
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- | No log | 6.625 | 106 | 0.4198 | 0.2218 | 0.4198 |
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- | No log | 6.75 | 108 | 0.3476 | 0.2243 | 0.3476 |
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- | No log | 6.875 | 110 | 0.3538 | 0.2243 | 0.3538 |
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- | No log | 7.0 | 112 | 0.4262 | 0.2163 | 0.4262 |
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- | No log | 7.125 | 114 | 0.4667 | 0.1909 | 0.4667 |
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- | No log | 7.25 | 116 | 0.4562 | 0.1881 | 0.4562 |
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- | No log | 7.375 | 118 | 0.4023 | 0.2163 | 0.4023 |
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- | No log | 7.5 | 120 | 0.3664 | 0.2169 | 0.3664 |
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- | No log | 7.625 | 122 | 0.3487 | 0.2346 | 0.3487 |
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- | No log | 7.75 | 124 | 0.3715 | 0.2262 | 0.3715 |
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- | No log | 7.875 | 126 | 0.4267 | 0.2035 | 0.4267 |
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- | No log | 8.0 | 128 | 0.5126 | 0.1714 | 0.5126 |
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- | No log | 8.125 | 130 | 0.5465 | 0.1609 | 0.5465 |
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- | No log | 8.25 | 132 | 0.5097 | 0.1661 | 0.5097 |
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- | No log | 8.375 | 134 | 0.4320 | 0.2006 | 0.4320 |
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- | No log | 8.5 | 136 | 0.3786 | 0.2290 | 0.3786 |
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- | No log | 8.625 | 138 | 0.3721 | 0.2216 | 0.3721 |
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- | No log | 8.75 | 140 | 0.3867 | 0.2177 | 0.3867 |
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- | No log | 8.875 | 142 | 0.4094 | 0.2086 | 0.4094 |
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- | No log | 9.0 | 144 | 0.4304 | 0.2070 | 0.4304 |
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- | No log | 9.125 | 146 | 0.4412 | 0.2070 | 0.4412 |
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- | No log | 9.25 | 148 | 0.4352 | 0.2160 | 0.4352 |
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- | No log | 9.375 | 150 | 0.4157 | 0.2250 | 0.4157 |
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- | No log | 9.5 | 152 | 0.4008 | 0.2250 | 0.4008 |
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- | No log | 9.625 | 154 | 0.3937 | 0.2223 | 0.3937 |
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- | No log | 9.75 | 156 | 0.3953 | 0.2223 | 0.3953 |
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- | No log | 9.875 | 158 | 0.3987 | 0.2250 | 0.3987 |
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- | No log | 10.0 | 160 | 0.4006 | 0.2250 | 0.4006 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_relevance_task2_fold5
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_task2_fold5
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: 0.2256
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+ - Qwk: 0.3506
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+ - Mse: 0.2255
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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 | 0.1333 | 2 | 0.3683 | 0.2902 | 0.3681 |
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+ | No log | 0.2667 | 4 | 0.2831 | 0.3575 | 0.2825 |
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+ | No log | 0.4 | 6 | 0.2856 | 0.1974 | 0.2849 |
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+ | No log | 0.5333 | 8 | 0.2976 | 0.3064 | 0.2970 |
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+ | No log | 0.6667 | 10 | 0.2707 | 0.3279 | 0.2703 |
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+ | No log | 0.8 | 12 | 0.2262 | 0.2826 | 0.2256 |
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+ | No log | 0.9333 | 14 | 0.2683 | 0.2601 | 0.2679 |
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+ | No log | 1.0667 | 16 | 0.2578 | 0.2758 | 0.2575 |
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+ | No log | 1.2 | 18 | 0.2380 | 0.3020 | 0.2377 |
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+ | No log | 1.3333 | 20 | 0.2190 | 0.3457 | 0.2188 |
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+ | No log | 1.4667 | 22 | 0.1962 | 0.3457 | 0.1960 |
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+ | No log | 1.6 | 24 | 0.1880 | 0.3562 | 0.1878 |
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+ | No log | 1.7333 | 26 | 0.1845 | 0.3547 | 0.1844 |
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+ | No log | 1.8667 | 28 | 0.1940 | 0.3485 | 0.1940 |
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+ | No log | 2.0 | 30 | 0.1851 | 0.3515 | 0.1850 |
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+ | No log | 2.1333 | 32 | 0.1774 | 0.3551 | 0.1772 |
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+ | No log | 2.2667 | 34 | 0.1847 | 0.3649 | 0.1845 |
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+ | No log | 2.4 | 36 | 0.1928 | 0.3552 | 0.1927 |
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+ | No log | 2.5333 | 38 | 0.2205 | 0.3465 | 0.2205 |
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+ | No log | 2.6667 | 40 | 0.2304 | 0.3465 | 0.2304 |
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+ | No log | 2.8 | 42 | 0.2178 | 0.3465 | 0.2178 |
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+ | No log | 2.9333 | 44 | 0.1968 | 0.3522 | 0.1966 |
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+ | No log | 3.0667 | 46 | 0.1970 | 0.3289 | 0.1968 |
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+ | No log | 3.2 | 48 | 0.1984 | 0.3289 | 0.1982 |
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+ | No log | 3.3333 | 50 | 0.2024 | 0.3501 | 0.2023 |
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+ | No log | 3.4667 | 52 | 0.2031 | 0.3422 | 0.2030 |
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+ | No log | 3.6 | 54 | 0.2013 | 0.3476 | 0.2012 |
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+ | No log | 3.7333 | 56 | 0.1980 | 0.3476 | 0.1979 |
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+ | No log | 3.8667 | 58 | 0.1927 | 0.3486 | 0.1926 |
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+ | No log | 4.0 | 60 | 0.1951 | 0.3486 | 0.1950 |
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+ | No log | 4.1333 | 62 | 0.1931 | 0.3476 | 0.1930 |
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+ | No log | 4.2667 | 64 | 0.2079 | 0.3444 | 0.2079 |
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+ | No log | 4.4 | 66 | 0.2177 | 0.3494 | 0.2177 |
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+ | No log | 4.5333 | 68 | 0.2017 | 0.3566 | 0.2017 |
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+ | No log | 4.6667 | 70 | 0.1927 | 0.3810 | 0.1925 |
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+ | No log | 4.8 | 72 | 0.1963 | 0.3658 | 0.1962 |
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+ | No log | 4.9333 | 74 | 0.2050 | 0.3496 | 0.2049 |
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+ | No log | 5.0667 | 76 | 0.2221 | 0.3444 | 0.2220 |
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+ | No log | 5.2 | 78 | 0.2272 | 0.3444 | 0.2270 |
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+ | No log | 5.3333 | 80 | 0.2127 | 0.3434 | 0.2125 |
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+ | No log | 5.4667 | 82 | 0.2034 | 0.3444 | 0.2032 |
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+ | No log | 5.6 | 84 | 0.2081 | 0.3522 | 0.2079 |
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+ | No log | 5.7333 | 86 | 0.2204 | 0.3650 | 0.2203 |
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+ | No log | 5.8667 | 88 | 0.2256 | 0.3650 | 0.2255 |
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+ | No log | 6.0 | 90 | 0.2294 | 0.3627 | 0.2292 |
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+ | No log | 6.1333 | 92 | 0.2113 | 0.3465 | 0.2111 |
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+ | No log | 6.2667 | 94 | 0.2021 | 0.3434 | 0.2019 |
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+ | No log | 6.4 | 96 | 0.2047 | 0.3434 | 0.2045 |
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+ | No log | 6.5333 | 98 | 0.2068 | 0.3423 | 0.2066 |
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+ | No log | 6.6667 | 100 | 0.2100 | 0.3434 | 0.2099 |
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+ | No log | 6.8 | 102 | 0.2176 | 0.3475 | 0.2175 |
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+ | No log | 6.9333 | 104 | 0.2219 | 0.3585 | 0.2218 |
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+ | No log | 7.0667 | 106 | 0.2202 | 0.3585 | 0.2201 |
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+ | No log | 7.2 | 108 | 0.2172 | 0.3585 | 0.2171 |
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+ | No log | 7.3333 | 110 | 0.2141 | 0.3576 | 0.2140 |
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+ | No log | 7.4667 | 112 | 0.2088 | 0.3525 | 0.2087 |
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+ | No log | 7.6 | 114 | 0.2032 | 0.3496 | 0.2031 |
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+ | No log | 7.7333 | 116 | 0.2002 | 0.3486 | 0.2000 |
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+ | No log | 7.8667 | 118 | 0.2006 | 0.3443 | 0.2004 |
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+ | No log | 8.0 | 120 | 0.2039 | 0.3486 | 0.2037 |
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+ | No log | 8.1333 | 122 | 0.2135 | 0.3496 | 0.2134 |
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+ | No log | 8.2667 | 124 | 0.2247 | 0.3576 | 0.2246 |
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+ | No log | 8.4 | 126 | 0.2292 | 0.3576 | 0.2291 |
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+ | No log | 8.5333 | 128 | 0.2321 | 0.3576 | 0.2319 |
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+ | No log | 8.6667 | 130 | 0.2280 | 0.3465 | 0.2279 |
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+ | No log | 8.8 | 132 | 0.2199 | 0.3506 | 0.2197 |
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+ | No log | 8.9333 | 134 | 0.2153 | 0.3496 | 0.2151 |
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+ | No log | 9.0667 | 136 | 0.2138 | 0.3486 | 0.2136 |
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+ | No log | 9.2 | 138 | 0.2163 | 0.3486 | 0.2161 |
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+ | No log | 9.3333 | 140 | 0.2180 | 0.3486 | 0.2178 |
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+ | No log | 9.4667 | 142 | 0.2205 | 0.3486 | 0.2204 |
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+ | No log | 9.6 | 144 | 0.2225 | 0.3496 | 0.2223 |
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+ | No log | 9.7333 | 146 | 0.2241 | 0.3506 | 0.2240 |
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+ | No log | 9.8667 | 148 | 0.2254 | 0.3506 | 0.2253 |
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+ | No log | 10.0 | 150 | 0.2256 | 0.3506 | 0.2255 |
 
 
 
 
 
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  ### Framework versions