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arabert_cross_relevance_task7_fold0

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  1. README.md +33 -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_task6_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_task6_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: 0.2708
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- - Qwk: 0.2181
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- - Mse: 0.2714
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  ## Model description
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@@ -47,38 +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 | 0.0308 | 2 | 0.3997 | 0.1409 | 0.4004 |
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- | No log | 0.0615 | 4 | 0.3224 | 0.1635 | 0.3230 |
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- | No log | 0.0923 | 6 | 0.3114 | 0.1336 | 0.3118 |
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- | No log | 0.1231 | 8 | 0.2792 | 0.1434 | 0.2797 |
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- | No log | 0.1538 | 10 | 0.5126 | 0.1528 | 0.5116 |
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- | No log | 0.1846 | 12 | 0.5725 | 0.1322 | 0.5710 |
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- | No log | 0.2154 | 14 | 0.3291 | 0.2313 | 0.3295 |
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- | No log | 0.2462 | 16 | 0.2709 | 0.2220 | 0.2712 |
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- | No log | 0.2769 | 18 | 0.2704 | 0.1746 | 0.2703 |
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- | No log | 0.3077 | 20 | 0.2714 | 0.1858 | 0.2712 |
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- | No log | 0.3385 | 22 | 0.2684 | 0.2083 | 0.2682 |
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- | No log | 0.3692 | 24 | 0.2725 | 0.2135 | 0.2725 |
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- | No log | 0.4 | 26 | 0.2759 | 0.2135 | 0.2760 |
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- | No log | 0.4308 | 28 | 0.2785 | 0.2173 | 0.2789 |
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- | No log | 0.4615 | 30 | 0.2798 | 0.1719 | 0.2803 |
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- | No log | 0.4923 | 32 | 0.2835 | 0.1711 | 0.2841 |
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- | No log | 0.5231 | 34 | 0.2859 | 0.1750 | 0.2866 |
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- | No log | 0.5538 | 36 | 0.2843 | 0.1681 | 0.2850 |
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- | No log | 0.5846 | 38 | 0.2824 | 0.1738 | 0.2833 |
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- | No log | 0.6154 | 40 | 0.2828 | 0.2186 | 0.2837 |
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- | No log | 0.6462 | 42 | 0.2811 | 0.2161 | 0.2821 |
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- | No log | 0.6769 | 44 | 0.2826 | 0.2239 | 0.2836 |
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- | No log | 0.7077 | 46 | 0.2875 | 0.2181 | 0.2884 |
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- | No log | 0.7385 | 48 | 0.2931 | 0.2181 | 0.2940 |
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- | No log | 0.7692 | 50 | 0.2938 | 0.2181 | 0.2947 |
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- | No log | 0.8 | 52 | 0.2942 | 0.2266 | 0.2950 |
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- | No log | 0.8308 | 54 | 0.2868 | 0.2266 | 0.2876 |
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- | No log | 0.8615 | 56 | 0.2800 | 0.2224 | 0.2808 |
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- | No log | 0.8923 | 58 | 0.2751 | 0.2181 | 0.2758 |
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- | No log | 0.9231 | 60 | 0.2725 | 0.2181 | 0.2732 |
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- | No log | 0.9538 | 62 | 0.2712 | 0.2181 | 0.2718 |
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- | No log | 0.9846 | 64 | 0.2708 | 0.2181 | 0.2714 |
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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_task7_fold0
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  results: []
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  ---
9
 
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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_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: 0.2152
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+ - Qwk: 0.1252
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+ - Mse: 0.2152
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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 | 1.7444 | 0.0064 | 1.7443 |
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+ | No log | 0.0702 | 4 | 0.5072 | 0.0044 | 0.5075 |
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+ | No log | 0.1053 | 6 | 0.3202 | 0.1573 | 0.3202 |
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+ | No log | 0.1404 | 8 | 0.2932 | 0.1238 | 0.2931 |
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+ | No log | 0.1754 | 10 | 0.2459 | 0.0491 | 0.2459 |
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+ | No log | 0.2105 | 12 | 0.2721 | 0.0611 | 0.2721 |
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+ | No log | 0.2456 | 14 | 0.3258 | 0.1020 | 0.3257 |
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+ | No log | 0.2807 | 16 | 0.3460 | 0.1206 | 0.3459 |
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+ | No log | 0.3158 | 18 | 0.2997 | 0.1063 | 0.2996 |
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+ | No log | 0.3509 | 20 | 0.2574 | 0.1124 | 0.2574 |
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+ | No log | 0.3860 | 22 | 0.2457 | 0.1501 | 0.2457 |
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+ | No log | 0.4211 | 24 | 0.2347 | 0.1830 | 0.2348 |
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+ | No log | 0.4561 | 26 | 0.2255 | 0.1739 | 0.2255 |
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+ | No log | 0.4912 | 28 | 0.2268 | 0.1123 | 0.2267 |
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+ | No log | 0.5263 | 30 | 0.2372 | 0.1054 | 0.2370 |
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+ | No log | 0.5614 | 32 | 0.2505 | 0.1020 | 0.2503 |
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+ | No log | 0.5965 | 34 | 0.2609 | 0.1020 | 0.2606 |
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+ | No log | 0.6316 | 36 | 0.2711 | 0.0959 | 0.2709 |
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+ | No log | 0.6667 | 38 | 0.2674 | 0.0679 | 0.2672 |
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+ | No log | 0.7018 | 40 | 0.2605 | 0.0756 | 0.2602 |
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+ | No log | 0.7368 | 42 | 0.2455 | 0.0756 | 0.2453 |
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+ | No log | 0.7719 | 44 | 0.2290 | 0.0756 | 0.2289 |
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+ | No log | 0.8070 | 46 | 0.2191 | 0.0791 | 0.2190 |
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+ | No log | 0.8421 | 48 | 0.2160 | 0.0898 | 0.2159 |
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+ | No log | 0.8772 | 50 | 0.2154 | 0.1042 | 0.2153 |
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+ | No log | 0.9123 | 52 | 0.2153 | 0.1215 | 0.2152 |
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+ | No log | 0.9474 | 54 | 0.2154 | 0.1252 | 0.2153 |
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+ | No log | 0.9825 | 56 | 0.2152 | 0.1252 | 0.2152 |
 
 
 
 
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  ### Framework versions