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arabert_cross_vocabulary_task1_fold0

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  1. README.md +33 -35
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_relevance_task7_fold6
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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_task7_fold6
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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: 0.2712
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- - Qwk: 0.1915
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- - Mse: 0.2729
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  ## Model description
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@@ -47,36 +47,34 @@ 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 | 0.0328 | 2 | 0.5105 | 0.0254 | 0.5110 |
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- | No log | 0.0656 | 4 | 0.3468 | 0.1105 | 0.3473 |
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- | No log | 0.0984 | 6 | 0.3739 | 0.0623 | 0.3733 |
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- | No log | 0.1311 | 8 | 0.4061 | 0.0623 | 0.4056 |
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- | No log | 0.1639 | 10 | 0.3781 | 0.0714 | 0.3780 |
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- | No log | 0.1967 | 12 | 0.3204 | 0.0732 | 0.3208 |
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- | No log | 0.2295 | 14 | 0.2912 | 0.0732 | 0.2917 |
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- | No log | 0.2623 | 16 | 0.2824 | 0.0732 | 0.2828 |
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- | No log | 0.2951 | 18 | 0.2830 | 0.0924 | 0.2833 |
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- | No log | 0.3279 | 20 | 0.2833 | 0.1116 | 0.2835 |
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- | No log | 0.3607 | 22 | 0.2895 | 0.1022 | 0.2894 |
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- | No log | 0.3934 | 24 | 0.3016 | 0.1520 | 0.3014 |
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- | No log | 0.4262 | 26 | 0.3147 | 0.1588 | 0.3148 |
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- | No log | 0.4590 | 28 | 0.3134 | 0.1666 | 0.3141 |
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- | No log | 0.4918 | 30 | 0.3075 | 0.1679 | 0.3086 |
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- | No log | 0.5246 | 32 | 0.3003 | 0.1679 | 0.3014 |
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- | No log | 0.5574 | 34 | 0.2952 | 0.1891 | 0.2962 |
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- | No log | 0.5902 | 36 | 0.2815 | 0.1835 | 0.2826 |
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- | No log | 0.6230 | 38 | 0.2722 | 0.1890 | 0.2731 |
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- | No log | 0.6557 | 40 | 0.2672 | 0.1973 | 0.2681 |
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- | No log | 0.6885 | 42 | 0.2631 | 0.2056 | 0.2644 |
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- | No log | 0.7213 | 44 | 0.2625 | 0.2056 | 0.2639 |
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- | No log | 0.7541 | 46 | 0.2628 | 0.1939 | 0.2643 |
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- | No log | 0.7869 | 48 | 0.2640 | 0.1746 | 0.2657 |
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- | No log | 0.8197 | 50 | 0.2654 | 0.1804 | 0.2671 |
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- | No log | 0.8525 | 52 | 0.2657 | 0.2023 | 0.2674 |
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- | No log | 0.8852 | 54 | 0.2677 | 0.1915 | 0.2694 |
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- | No log | 0.9180 | 56 | 0.2701 | 0.1915 | 0.2718 |
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- | No log | 0.9508 | 58 | 0.2708 | 0.1915 | 0.2725 |
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- | No log | 0.9836 | 60 | 0.2712 | 0.1915 | 0.2729 |
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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_task1_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_cross_vocabulary_task1_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: 0.9107
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+ - Qwk: 0.3160
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+ - Mse: 0.9107
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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 | 0.0351 | 2 | 3.6812 | 0.0124 | 3.6812 |
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+ | No log | 0.0702 | 4 | 2.2449 | 0.0807 | 2.2449 |
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+ | No log | 0.1053 | 6 | 1.7920 | 0.1291 | 1.7920 |
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+ | No log | 0.1404 | 8 | 1.1077 | 0.2184 | 1.1077 |
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+ | No log | 0.1754 | 10 | 1.6727 | 0.2157 | 1.6727 |
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+ | No log | 0.2105 | 12 | 2.3411 | 0.1852 | 2.3411 |
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+ | No log | 0.2456 | 14 | 1.4252 | 0.2951 | 1.4252 |
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+ | No log | 0.2807 | 16 | 0.8885 | 0.3981 | 0.8885 |
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+ | No log | 0.3158 | 18 | 0.6824 | 0.4387 | 0.6824 |
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+ | No log | 0.3509 | 20 | 0.6604 | 0.4473 | 0.6604 |
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+ | No log | 0.3860 | 22 | 0.7208 | 0.3880 | 0.7208 |
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+ | No log | 0.4211 | 24 | 1.1639 | 0.2846 | 1.1639 |
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+ | No log | 0.4561 | 26 | 2.0330 | 0.1689 | 2.0330 |
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+ | No log | 0.4912 | 28 | 2.2500 | 0.1485 | 2.2500 |
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+ | No log | 0.5263 | 30 | 1.8145 | 0.1758 | 1.8145 |
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+ | No log | 0.5614 | 32 | 1.1982 | 0.2547 | 1.1982 |
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+ | No log | 0.5965 | 34 | 0.8111 | 0.3192 | 0.8111 |
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+ | No log | 0.6316 | 36 | 0.7359 | 0.3443 | 0.7359 |
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+ | No log | 0.6667 | 38 | 0.8012 | 0.3164 | 0.8012 |
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+ | No log | 0.7018 | 40 | 0.9036 | 0.2985 | 0.9036 |
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+ | No log | 0.7368 | 42 | 1.0075 | 0.2804 | 1.0075 |
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+ | No log | 0.7719 | 44 | 1.0761 | 0.2855 | 1.0761 |
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+ | No log | 0.8070 | 46 | 1.0400 | 0.2883 | 1.0400 |
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+ | No log | 0.8421 | 48 | 1.0379 | 0.2963 | 1.0379 |
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+ | No log | 0.8772 | 50 | 1.0163 | 0.3002 | 1.0163 |
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+ | No log | 0.9123 | 52 | 0.9760 | 0.3168 | 0.9760 |
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+ | No log | 0.9474 | 54 | 0.9286 | 0.3206 | 0.9286 |
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+ | No log | 0.9825 | 56 | 0.9107 | 0.3160 | 0.9107 |
 
 
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  ### Framework versions