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arabert_cross_relevance_task7_fold5

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  1. README.md +37 -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_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_task7_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: 0.4178
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- - Qwk: 0.3096
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- - Mse: 0.4178
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  ## Model description
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@@ -45,36 +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 | 0.0351 | 2 | 1.2442 | 0.0023 | 1.2442 |
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- | No log | 0.0702 | 4 | 0.5486 | 0.1737 | 0.5486 |
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- | No log | 0.1053 | 6 | 0.4401 | 0.2092 | 0.4401 |
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- | No log | 0.1404 | 8 | 0.6085 | 0.3448 | 0.6085 |
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- | No log | 0.1754 | 10 | 0.5312 | 0.2261 | 0.5312 |
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- | No log | 0.2105 | 12 | 0.4802 | 0.1025 | 0.4802 |
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- | No log | 0.2456 | 14 | 0.4993 | 0.0823 | 0.4993 |
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- | No log | 0.2807 | 16 | 0.5735 | 0.2037 | 0.5735 |
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- | No log | 0.3158 | 18 | 0.5919 | 0.1336 | 0.5919 |
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- | No log | 0.3509 | 20 | 0.5961 | 0.1778 | 0.5961 |
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- | No log | 0.3860 | 22 | 0.5618 | 0.1936 | 0.5618 |
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- | No log | 0.4211 | 24 | 0.4983 | 0.1014 | 0.4983 |
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- | No log | 0.4561 | 26 | 0.4610 | 0.0823 | 0.4610 |
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- | No log | 0.4912 | 28 | 0.4379 | 0.0823 | 0.4379 |
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- | No log | 0.5263 | 30 | 0.4243 | 0.0823 | 0.4243 |
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- | No log | 0.5614 | 32 | 0.4112 | 0.0823 | 0.4112 |
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- | No log | 0.5965 | 34 | 0.4065 | 0.0986 | 0.4065 |
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- | No log | 0.6316 | 36 | 0.4065 | 0.1147 | 0.4065 |
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- | No log | 0.6667 | 38 | 0.4002 | 0.1147 | 0.4002 |
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- | No log | 0.7018 | 40 | 0.3916 | 0.1147 | 0.3916 |
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- | No log | 0.7368 | 42 | 0.3875 | 0.1718 | 0.3875 |
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- | No log | 0.7719 | 44 | 0.3871 | 0.1718 | 0.3871 |
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- | No log | 0.8070 | 46 | 0.3961 | 0.1945 | 0.3961 |
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- | No log | 0.8421 | 48 | 0.4011 | 0.2573 | 0.4011 |
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- | No log | 0.8772 | 50 | 0.4079 | 0.2869 | 0.4079 |
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- | No log | 0.9123 | 52 | 0.4165 | 0.3089 | 0.4165 |
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- | No log | 0.9474 | 54 | 0.4186 | 0.3096 | 0.4186 |
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- | No log | 0.9825 | 56 | 0.4178 | 0.3096 | 0.4178 |
 
 
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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_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_task7_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: 0.2557
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+ - Qwk: 0.2896
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+ - Mse: 0.2557
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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 | 0.5254 | -0.0044 | 0.5254 |
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+ | No log | 0.0656 | 4 | 0.4846 | 0.0180 | 0.4846 |
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+ | No log | 0.0984 | 6 | 0.4148 | 0.0754 | 0.4148 |
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+ | No log | 0.1311 | 8 | 0.3828 | 0.0877 | 0.3828 |
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+ | No log | 0.1639 | 10 | 0.3888 | 0.1665 | 0.3888 |
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+ | No log | 0.1967 | 12 | 0.3688 | 0.1730 | 0.3688 |
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+ | No log | 0.2295 | 14 | 0.3268 | 0.1682 | 0.3268 |
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+ | No log | 0.2623 | 16 | 0.2994 | 0.1832 | 0.2994 |
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+ | No log | 0.2951 | 18 | 0.2984 | 0.2063 | 0.2984 |
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+ | No log | 0.3279 | 20 | 0.3034 | 0.1978 | 0.3034 |
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+ | No log | 0.3607 | 22 | 0.3076 | 0.1779 | 0.3076 |
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+ | No log | 0.3934 | 24 | 0.2966 | 0.1779 | 0.2966 |
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+ | No log | 0.4262 | 26 | 0.2792 | 0.1837 | 0.2792 |
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+ | No log | 0.4590 | 28 | 0.2731 | 0.1837 | 0.2731 |
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+ | No log | 0.4918 | 30 | 0.2603 | 0.2114 | 0.2603 |
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+ | No log | 0.5246 | 32 | 0.2507 | 0.2212 | 0.2507 |
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+ | No log | 0.5574 | 34 | 0.2421 | 0.2212 | 0.2421 |
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+ | No log | 0.5902 | 36 | 0.2411 | 0.2565 | 0.2411 |
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+ | No log | 0.6230 | 38 | 0.2512 | 0.3362 | 0.2512 |
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+ | No log | 0.6557 | 40 | 0.2661 | 0.4750 | 0.2661 |
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+ | No log | 0.6885 | 42 | 0.2680 | 0.4745 | 0.2680 |
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+ | No log | 0.7213 | 44 | 0.2662 | 0.3568 | 0.2662 |
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+ | No log | 0.7541 | 46 | 0.2660 | 0.3328 | 0.2660 |
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+ | No log | 0.7869 | 48 | 0.2720 | 0.2848 | 0.2720 |
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+ | No log | 0.8197 | 50 | 0.2725 | 0.2782 | 0.2725 |
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+ | No log | 0.8525 | 52 | 0.2677 | 0.2887 | 0.2677 |
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+ | No log | 0.8852 | 54 | 0.2621 | 0.2923 | 0.2621 |
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+ | No log | 0.9180 | 56 | 0.2582 | 0.2785 | 0.2582 |
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+ | No log | 0.9508 | 58 | 0.2563 | 0.2896 | 0.2563 |
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+ | No log | 0.9836 | 60 | 0.2557 | 0.2896 | 0.2557 |
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  ### Framework versions