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arabert_cross_relevance_task6_fold0

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  1. README.md +37 -37
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_task5_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_task5_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: 0.2705
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- - Qwk: 0.2603
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- - Mse: 0.2706
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  ## Model description
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@@ -45,38 +45,38 @@ 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 | 0.0328 | 2 | 0.3383 | 0.0864 | 0.3385 |
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- | No log | 0.0656 | 4 | 0.3773 | 0.1304 | 0.3766 |
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- | No log | 0.0984 | 6 | 0.3324 | 0.0694 | 0.3308 |
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- | No log | 0.1311 | 8 | 0.3651 | 0.0942 | 0.3628 |
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- | No log | 0.1639 | 10 | 0.3821 | 0.1263 | 0.3813 |
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- | No log | 0.1967 | 12 | 0.3185 | 0.0967 | 0.3188 |
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- | No log | 0.2295 | 14 | 0.2905 | 0.0703 | 0.2911 |
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- | No log | 0.2623 | 16 | 0.3264 | 0.1381 | 0.3268 |
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- | No log | 0.2951 | 18 | 0.3480 | 0.1648 | 0.3482 |
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- | No log | 0.3279 | 20 | 0.3180 | 0.1381 | 0.3179 |
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- | No log | 0.3607 | 22 | 0.2907 | 0.0805 | 0.2904 |
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- | No log | 0.3934 | 24 | 0.2784 | 0.1094 | 0.2782 |
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- | No log | 0.4262 | 26 | 0.2763 | 0.1269 | 0.2762 |
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- | No log | 0.4590 | 28 | 0.2755 | 0.1455 | 0.2754 |
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- | No log | 0.4918 | 30 | 0.2737 | 0.2205 | 0.2737 |
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- | No log | 0.5246 | 32 | 0.2694 | 0.2104 | 0.2693 |
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- | No log | 0.5574 | 34 | 0.2712 | 0.2889 | 0.2712 |
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- | No log | 0.5902 | 36 | 0.2740 | 0.3051 | 0.2740 |
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- | No log | 0.6230 | 38 | 0.2751 | 0.2701 | 0.2752 |
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- | No log | 0.6557 | 40 | 0.2787 | 0.2819 | 0.2787 |
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- | No log | 0.6885 | 42 | 0.2795 | 0.2894 | 0.2795 |
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- | No log | 0.7213 | 44 | 0.2781 | 0.2856 | 0.2782 |
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- | No log | 0.7541 | 46 | 0.2805 | 0.2927 | 0.2806 |
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- | No log | 0.7869 | 48 | 0.2799 | 0.2927 | 0.2799 |
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- | No log | 0.8197 | 50 | 0.2752 | 0.2855 | 0.2752 |
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- | No log | 0.8525 | 52 | 0.2736 | 0.2642 | 0.2737 |
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- | No log | 0.8852 | 54 | 0.2719 | 0.2642 | 0.2720 |
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- | No log | 0.9180 | 56 | 0.2712 | 0.2642 | 0.2713 |
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- | No log | 0.9508 | 58 | 0.2711 | 0.2642 | 0.2711 |
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- | No log | 0.9836 | 60 | 0.2705 | 0.2603 | 0.2706 |
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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_relevance_task6_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_relevance_task6_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: 0.2645
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+ - Qwk: 0.1072
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+ - Mse: 0.2644
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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 | 0.0328 | 2 | 0.4704 | 0.0057 | 0.4697 |
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+ | No log | 0.0656 | 4 | 0.3176 | -0.0223 | 0.3171 |
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+ | No log | 0.0984 | 6 | 0.2821 | 0.0390 | 0.2817 |
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+ | No log | 0.1311 | 8 | 0.3035 | 0.0686 | 0.3032 |
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+ | No log | 0.1639 | 10 | 0.3619 | 0.0561 | 0.3616 |
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+ | No log | 0.1967 | 12 | 0.4061 | 0.0532 | 0.4058 |
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+ | No log | 0.2295 | 14 | 0.3050 | 0.0584 | 0.3048 |
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+ | No log | 0.2623 | 16 | 0.2732 | 0.0558 | 0.2730 |
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+ | No log | 0.2951 | 18 | 0.2742 | 0.0980 | 0.2741 |
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+ | No log | 0.3279 | 20 | 0.2913 | 0.1597 | 0.2912 |
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+ | No log | 0.3607 | 22 | 0.3074 | 0.1305 | 0.3073 |
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+ | No log | 0.3934 | 24 | 0.3102 | 0.1122 | 0.3101 |
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+ | No log | 0.4262 | 26 | 0.2890 | 0.1030 | 0.2889 |
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+ | No log | 0.4590 | 28 | 0.2757 | 0.1010 | 0.2756 |
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+ | No log | 0.4918 | 30 | 0.2754 | 0.1010 | 0.2753 |
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+ | No log | 0.5246 | 32 | 0.2810 | 0.0956 | 0.2809 |
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+ | No log | 0.5574 | 34 | 0.2873 | 0.0956 | 0.2871 |
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+ | No log | 0.5902 | 36 | 0.2867 | 0.1022 | 0.2865 |
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+ | No log | 0.6230 | 38 | 0.2823 | 0.0965 | 0.2821 |
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+ | No log | 0.6557 | 40 | 0.2783 | 0.0995 | 0.2782 |
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+ | No log | 0.6885 | 42 | 0.2789 | 0.1010 | 0.2788 |
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+ | No log | 0.7213 | 44 | 0.2759 | 0.1049 | 0.2758 |
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+ | No log | 0.7541 | 46 | 0.2725 | 0.1089 | 0.2724 |
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+ | No log | 0.7869 | 48 | 0.2702 | 0.1036 | 0.2701 |
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+ | No log | 0.8197 | 50 | 0.2660 | 0.0965 | 0.2659 |
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+ | No log | 0.8525 | 52 | 0.2636 | 0.0849 | 0.2635 |
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+ | No log | 0.8852 | 54 | 0.2636 | 0.0849 | 0.2635 |
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+ | No log | 0.9180 | 56 | 0.2639 | 0.1072 | 0.2638 |
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+ | No log | 0.9508 | 58 | 0.2645 | 0.1072 | 0.2644 |
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+ | No log | 0.9836 | 60 | 0.2645 | 0.1072 | 0.2644 |
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  ### Framework versions