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arabert_cross_relevance_task2_fold4

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  1. README.md +35 -33
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_task2_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_task2_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: 0.2961
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- - Qwk: 0.3277
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- - Mse: 0.2961
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  ## Model description
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@@ -47,34 +47,36 @@ 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 | 0.0351 | 2 | 1.1621 | 0.0229 | 1.1621 |
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- | No log | 0.0702 | 4 | 0.5340 | 0.1841 | 0.5340 |
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- | No log | 0.1053 | 6 | 0.5506 | 0.1500 | 0.5506 |
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- | No log | 0.1404 | 8 | 0.5057 | 0.1888 | 0.5057 |
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- | No log | 0.1754 | 10 | 0.4434 | 0.1993 | 0.4434 |
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- | No log | 0.2105 | 12 | 0.4171 | 0.2214 | 0.4171 |
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- | No log | 0.2456 | 14 | 0.3762 | 0.2316 | 0.3762 |
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- | No log | 0.2807 | 16 | 0.3295 | 0.2935 | 0.3295 |
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- | No log | 0.3158 | 18 | 0.3210 | 0.2948 | 0.3210 |
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- | No log | 0.3509 | 20 | 0.3093 | 0.2948 | 0.3093 |
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- | No log | 0.3860 | 22 | 0.3105 | 0.3062 | 0.3105 |
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- | No log | 0.4211 | 24 | 0.3464 | 0.3679 | 0.3464 |
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- | No log | 0.4561 | 26 | 0.3981 | 0.6151 | 0.3981 |
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- | No log | 0.4912 | 28 | 0.3851 | 0.6021 | 0.3851 |
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- | No log | 0.5263 | 30 | 0.3431 | 0.4831 | 0.3431 |
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- | No log | 0.5614 | 32 | 0.3017 | 0.3166 | 0.3017 |
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- | No log | 0.5965 | 34 | 0.2863 | 0.3277 | 0.2863 |
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- | No log | 0.6316 | 36 | 0.2906 | 0.3407 | 0.2906 |
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- | No log | 0.6667 | 38 | 0.2981 | 0.3509 | 0.2981 |
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- | No log | 0.7018 | 40 | 0.2999 | 0.3509 | 0.2999 |
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- | No log | 0.7368 | 42 | 0.2988 | 0.3391 | 0.2988 |
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- | No log | 0.7719 | 44 | 0.2970 | 0.3148 | 0.2970 |
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- | No log | 0.8070 | 46 | 0.2972 | 0.3126 | 0.2972 |
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- | No log | 0.8421 | 48 | 0.2982 | 0.3126 | 0.2982 |
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- | No log | 0.8772 | 50 | 0.2966 | 0.3158 | 0.2966 |
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- | No log | 0.9123 | 52 | 0.2961 | 0.3277 | 0.2961 |
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- | No log | 0.9474 | 54 | 0.2957 | 0.3286 | 0.2957 |
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- | No log | 0.9825 | 56 | 0.2961 | 0.3277 | 0.2961 |
 
 
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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_task2_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_task2_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: 0.2773
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+ - Qwk: 0.2000
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+ - Mse: 0.2773
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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 | 0.0328 | 2 | 0.4959 | 0.0115 | 0.4959 |
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+ | No log | 0.0656 | 4 | 0.5590 | 0.0098 | 0.5590 |
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+ | No log | 0.0984 | 6 | 0.4608 | 0.0175 | 0.4608 |
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+ | No log | 0.1311 | 8 | 0.3699 | 0.1146 | 0.3699 |
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+ | No log | 0.1639 | 10 | 0.3890 | 0.1933 | 0.3890 |
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+ | No log | 0.1967 | 12 | 0.3716 | 0.1636 | 0.3716 |
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+ | No log | 0.2295 | 14 | 0.3268 | 0.1785 | 0.3268 |
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+ | No log | 0.2623 | 16 | 0.3074 | 0.1540 | 0.3074 |
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+ | No log | 0.2951 | 18 | 0.3082 | 0.1626 | 0.3082 |
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+ | No log | 0.3279 | 20 | 0.2888 | 0.2133 | 0.2888 |
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+ | No log | 0.3607 | 22 | 0.2650 | 0.2723 | 0.2650 |
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+ | No log | 0.3934 | 24 | 0.2579 | 0.3038 | 0.2579 |
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+ | No log | 0.4262 | 26 | 0.2636 | 0.2887 | 0.2636 |
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+ | No log | 0.4590 | 28 | 0.2743 | 0.2752 | 0.2743 |
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+ | No log | 0.4918 | 30 | 0.2965 | 0.2686 | 0.2965 |
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+ | No log | 0.5246 | 32 | 0.2942 | 0.2686 | 0.2942 |
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+ | No log | 0.5574 | 34 | 0.2803 | 0.2752 | 0.2803 |
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+ | No log | 0.5902 | 36 | 0.2689 | 0.2831 | 0.2689 |
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+ | No log | 0.6230 | 38 | 0.2660 | 0.2051 | 0.2660 |
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+ | No log | 0.6557 | 40 | 0.2706 | 0.1948 | 0.2706 |
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+ | No log | 0.6885 | 42 | 0.2746 | 0.1665 | 0.2746 |
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+ | No log | 0.7213 | 44 | 0.2765 | 0.1665 | 0.2765 |
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+ | No log | 0.7541 | 46 | 0.2792 | 0.1725 | 0.2792 |
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+ | No log | 0.7869 | 48 | 0.2798 | 0.1725 | 0.2798 |
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+ | No log | 0.8197 | 50 | 0.2802 | 0.1948 | 0.2802 |
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+ | No log | 0.8525 | 52 | 0.2797 | 0.2000 | 0.2797 |
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+ | No log | 0.8852 | 54 | 0.2802 | 0.2000 | 0.2802 |
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+ | No log | 0.9180 | 56 | 0.2790 | 0.2000 | 0.2790 |
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+ | No log | 0.9508 | 58 | 0.2780 | 0.2000 | 0.2780 |
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+ | No log | 0.9836 | 60 | 0.2773 | 0.2000 | 0.2773 |
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  ### Framework versions