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arabert_cross_relevance_task1_fold4

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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_task1_fold3
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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_fold3
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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: 0.2991
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- - Qwk: 0.5026
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- - Mse: 0.2991
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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 | 1.0137 | 0.0171 | 1.0137 |
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- | No log | 0.0702 | 4 | 0.6105 | 0.1259 | 0.6105 |
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- | No log | 0.1053 | 6 | 0.6101 | 0.4090 | 0.6101 |
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- | No log | 0.1404 | 8 | 0.5978 | 0.3841 | 0.5978 |
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- | No log | 0.1754 | 10 | 0.4704 | 0.2193 | 0.4704 |
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- | No log | 0.2105 | 12 | 0.3969 | 0.1722 | 0.3969 |
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- | No log | 0.2456 | 14 | 0.4062 | 0.2387 | 0.4062 |
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- | No log | 0.2807 | 16 | 0.3689 | 0.2173 | 0.3689 |
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- | No log | 0.3158 | 18 | 0.3622 | 0.2224 | 0.3622 |
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- | No log | 0.3509 | 20 | 0.3775 | 0.2202 | 0.3775 |
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- | No log | 0.3860 | 22 | 0.3739 | 0.2294 | 0.3739 |
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- | No log | 0.4211 | 24 | 0.3817 | 0.2153 | 0.3817 |
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- | No log | 0.4561 | 26 | 0.3802 | 0.2316 | 0.3802 |
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- | No log | 0.4912 | 28 | 0.3706 | 0.2936 | 0.3706 |
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- | No log | 0.5263 | 30 | 0.3544 | 0.2687 | 0.3544 |
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- | No log | 0.5614 | 32 | 0.3300 | 0.2840 | 0.3300 |
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- | No log | 0.5965 | 34 | 0.3051 | 0.3286 | 0.3051 |
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- | No log | 0.6316 | 36 | 0.2877 | 0.3503 | 0.2877 |
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- | No log | 0.6667 | 38 | 0.2875 | 0.3784 | 0.2875 |
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- | No log | 0.7018 | 40 | 0.2986 | 0.4873 | 0.2986 |
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- | No log | 0.7368 | 42 | 0.3064 | 0.5052 | 0.3064 |
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- | No log | 0.7719 | 44 | 0.3065 | 0.5343 | 0.3065 |
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- | No log | 0.8070 | 46 | 0.2939 | 0.4736 | 0.2939 |
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- | No log | 0.8421 | 48 | 0.2887 | 0.4490 | 0.2887 |
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- | No log | 0.8772 | 50 | 0.2881 | 0.4490 | 0.2881 |
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- | No log | 0.9123 | 52 | 0.2916 | 0.4637 | 0.2916 |
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- | No log | 0.9474 | 54 | 0.2967 | 0.4885 | 0.2967 |
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- | No log | 0.9825 | 56 | 0.2991 | 0.5026 | 0.2991 |
 
 
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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_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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  ### 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