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arabert_cross_relevance_task1_fold5

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  1. README.md +35 -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_task1_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_task1_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: 0.2814
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- - Qwk: 0.1577
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- - Mse: 0.2814
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  ## Model description
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@@ -45,38 +45,36 @@ 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 | 0.5567 | -0.0320 | 0.5567 |
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- | No log | 0.0656 | 4 | 0.5564 | -0.0102 | 0.5564 |
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- | No log | 0.0984 | 6 | 0.5081 | 0.0304 | 0.5081 |
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- | No log | 0.1311 | 8 | 0.4677 | 0.0304 | 0.4677 |
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- | No log | 0.1639 | 10 | 0.4282 | 0.0400 | 0.4282 |
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- | No log | 0.1967 | 12 | 0.4239 | 0.0496 | 0.4239 |
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- | No log | 0.2295 | 14 | 0.4171 | 0.0384 | 0.4171 |
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- | No log | 0.2623 | 16 | 0.3868 | 0.0496 | 0.3868 |
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- | No log | 0.2951 | 18 | 0.3678 | 0.0690 | 0.3678 |
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- | No log | 0.3279 | 20 | 0.3448 | 0.0596 | 0.3448 |
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- | No log | 0.3607 | 22 | 0.3295 | 0.0877 | 0.3295 |
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- | No log | 0.3934 | 24 | 0.3190 | 0.0877 | 0.3190 |
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- | No log | 0.4262 | 26 | 0.3166 | 0.0969 | 0.3166 |
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- | No log | 0.4590 | 28 | 0.3135 | 0.0969 | 0.3135 |
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- | No log | 0.4918 | 30 | 0.3075 | 0.0969 | 0.3075 |
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- | No log | 0.5246 | 32 | 0.3014 | 0.1139 | 0.3014 |
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- | No log | 0.5574 | 34 | 0.2971 | 0.1139 | 0.2971 |
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- | No log | 0.5902 | 36 | 0.2957 | 0.1048 | 0.2957 |
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- | No log | 0.6230 | 38 | 0.2937 | 0.1048 | 0.2937 |
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- | No log | 0.6557 | 40 | 0.2888 | 0.1139 | 0.2888 |
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- | No log | 0.6885 | 42 | 0.2867 | 0.1139 | 0.2867 |
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- | No log | 0.7213 | 44 | 0.2857 | 0.1139 | 0.2857 |
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- | No log | 0.7541 | 46 | 0.2847 | 0.1321 | 0.2847 |
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- | No log | 0.7869 | 48 | 0.2833 | 0.1577 | 0.2833 |
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- | No log | 0.8197 | 50 | 0.2826 | 0.1577 | 0.2826 |
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- | No log | 0.8525 | 52 | 0.2822 | 0.1577 | 0.2822 |
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- | No log | 0.8852 | 54 | 0.2805 | 0.1577 | 0.2805 |
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- | No log | 0.9180 | 56 | 0.2810 | 0.1667 | 0.2810 |
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- | No log | 0.9508 | 58 | 0.2816 | 0.1667 | 0.2816 |
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- | No log | 0.9836 | 60 | 0.2814 | 0.1577 | 0.2814 |
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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_task1_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_task1_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: 0.1955
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+ - Qwk: 0.3846
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+ - Mse: 0.1955
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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 | 0.0351 | 2 | 0.3613 | 0.2826 | 0.3613 |
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+ | No log | 0.0702 | 4 | 0.4116 | 0.5484 | 0.4116 |
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+ | No log | 0.1053 | 6 | 0.2771 | 0.4880 | 0.2771 |
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+ | No log | 0.1404 | 8 | 0.2157 | 0.3346 | 0.2157 |
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+ | No log | 0.1754 | 10 | 0.2149 | 0.3324 | 0.2149 |
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+ | No log | 0.2105 | 12 | 0.2119 | 0.3302 | 0.2119 |
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+ | No log | 0.2456 | 14 | 0.2146 | 0.3336 | 0.2146 |
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+ | No log | 0.2807 | 16 | 0.2085 | 0.3319 | 0.2085 |
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+ | No log | 0.3158 | 18 | 0.2118 | 0.3641 | 0.2118 |
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+ | No log | 0.3509 | 20 | 0.2261 | 0.4439 | 0.2261 |
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+ | No log | 0.3860 | 22 | 0.2392 | 0.4713 | 0.2392 |
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+ | No log | 0.4211 | 24 | 0.2344 | 0.4095 | 0.2344 |
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+ | No log | 0.4561 | 26 | 0.2151 | 0.3602 | 0.2151 |
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+ | No log | 0.4912 | 28 | 0.2029 | 0.3304 | 0.2029 |
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+ | No log | 0.5263 | 30 | 0.2041 | 0.3227 | 0.2041 |
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+ | No log | 0.5614 | 32 | 0.2085 | 0.3015 | 0.2085 |
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+ | No log | 0.5965 | 34 | 0.2114 | 0.2998 | 0.2114 |
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+ | No log | 0.6316 | 36 | 0.2114 | 0.2998 | 0.2114 |
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+ | No log | 0.6667 | 38 | 0.2041 | 0.3156 | 0.2041 |
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+ | No log | 0.7018 | 40 | 0.1985 | 0.3186 | 0.1985 |
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+ | No log | 0.7368 | 42 | 0.1948 | 0.3490 | 0.1948 |
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+ | No log | 0.7719 | 44 | 0.1925 | 0.3543 | 0.1925 |
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+ | No log | 0.8070 | 46 | 0.1939 | 0.3667 | 0.1939 |
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+ | No log | 0.8421 | 48 | 0.1928 | 0.3684 | 0.1928 |
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+ | No log | 0.8772 | 50 | 0.1932 | 0.3736 | 0.1932 |
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+ | No log | 0.9123 | 52 | 0.1942 | 0.3795 | 0.1942 |
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+ | No log | 0.9474 | 54 | 0.1952 | 0.3846 | 0.1952 |
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+ | No log | 0.9825 | 56 | 0.1955 | 0.3846 | 0.1955 |
 
 
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  ### Framework versions