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arabert_cross_vocabulary_task5_fold6

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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_vocabulary_task5_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_vocabulary_task5_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: 0.3339
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- - Qwk: 0.8270
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- - Mse: 0.3339
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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 | 3.7424 | 0.0021 | 3.7424 |
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- | No log | 0.0702 | 4 | 1.7368 | 0.2488 | 1.7368 |
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- | No log | 0.1053 | 6 | 0.8992 | 0.2497 | 0.8992 |
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- | No log | 0.1404 | 8 | 0.7327 | 0.6064 | 0.7327 |
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- | No log | 0.1754 | 10 | 0.8042 | 0.5559 | 0.8042 |
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- | No log | 0.2105 | 12 | 0.9939 | 0.6771 | 0.9939 |
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- | No log | 0.2456 | 14 | 0.9616 | 0.6986 | 0.9616 |
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- | No log | 0.2807 | 16 | 0.8004 | 0.6308 | 0.8004 |
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- | No log | 0.3158 | 18 | 0.6373 | 0.6016 | 0.6373 |
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- | No log | 0.3509 | 20 | 0.6361 | 0.6470 | 0.6361 |
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- | No log | 0.3860 | 22 | 0.5967 | 0.7168 | 0.5967 |
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- | No log | 0.4211 | 24 | 0.4872 | 0.7622 | 0.4872 |
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- | No log | 0.4561 | 26 | 0.4462 | 0.7864 | 0.4462 |
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- | No log | 0.4912 | 28 | 0.4171 | 0.8029 | 0.4171 |
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- | No log | 0.5263 | 30 | 0.3844 | 0.8207 | 0.3844 |
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- | No log | 0.5614 | 32 | 0.4099 | 0.8533 | 0.4099 |
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- | No log | 0.5965 | 34 | 0.4527 | 0.8592 | 0.4527 |
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- | No log | 0.6316 | 36 | 0.4782 | 0.8573 | 0.4782 |
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- | No log | 0.6667 | 38 | 0.4629 | 0.8620 | 0.4629 |
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- | No log | 0.7018 | 40 | 0.3818 | 0.8464 | 0.3818 |
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- | No log | 0.7368 | 42 | 0.3245 | 0.8055 | 0.3245 |
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- | No log | 0.7719 | 44 | 0.3187 | 0.7617 | 0.3187 |
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- | No log | 0.8070 | 46 | 0.3176 | 0.7494 | 0.3176 |
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- | No log | 0.8421 | 48 | 0.3184 | 0.7414 | 0.3184 |
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- | No log | 0.8772 | 50 | 0.3131 | 0.7715 | 0.3131 |
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- | No log | 0.9123 | 52 | 0.3167 | 0.8053 | 0.3167 |
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- | No log | 0.9474 | 54 | 0.3273 | 0.8208 | 0.3273 |
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- | No log | 0.9825 | 56 | 0.3339 | 0.8270 | 0.3339 |
 
 
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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_vocabulary_task5_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_vocabulary_task5_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: 0.4885
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+ - Qwk: 0.6405
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+ - Mse: 0.4871
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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 | 1.7653 | 0.0854 | 1.7539 |
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+ | No log | 0.0656 | 4 | 0.9960 | 0.2694 | 0.9869 |
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+ | No log | 0.0984 | 6 | 1.0209 | 0.4489 | 1.0210 |
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+ | No log | 0.1311 | 8 | 1.2656 | 0.2397 | 1.2659 |
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+ | No log | 0.1639 | 10 | 1.1746 | 0.1146 | 1.1733 |
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+ | No log | 0.1967 | 12 | 1.0616 | 0.1286 | 1.0603 |
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+ | No log | 0.2295 | 14 | 0.9704 | 0.1900 | 0.9690 |
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+ | No log | 0.2623 | 16 | 0.8921 | 0.2622 | 0.8910 |
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+ | No log | 0.2951 | 18 | 0.8267 | 0.4004 | 0.8262 |
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+ | No log | 0.3279 | 20 | 0.7715 | 0.4447 | 0.7714 |
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+ | No log | 0.3607 | 22 | 0.7094 | 0.4821 | 0.7095 |
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+ | No log | 0.3934 | 24 | 0.6609 | 0.5270 | 0.6611 |
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+ | No log | 0.4262 | 26 | 0.6404 | 0.5798 | 0.6403 |
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+ | No log | 0.4590 | 28 | 0.6536 | 0.6218 | 0.6535 |
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+ | No log | 0.4918 | 30 | 0.6622 | 0.6382 | 0.6618 |
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+ | No log | 0.5246 | 32 | 0.6200 | 0.6334 | 0.6191 |
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+ | No log | 0.5574 | 34 | 0.6047 | 0.6457 | 0.6038 |
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+ | No log | 0.5902 | 36 | 0.6135 | 0.6481 | 0.6127 |
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+ | No log | 0.6230 | 38 | 0.6735 | 0.6781 | 0.6730 |
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+ | No log | 0.6557 | 40 | 0.6993 | 0.6904 | 0.6989 |
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+ | No log | 0.6885 | 42 | 0.6637 | 0.6940 | 0.6631 |
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+ | No log | 0.7213 | 44 | 0.6006 | 0.7091 | 0.5995 |
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+ | No log | 0.7541 | 46 | 0.5531 | 0.7057 | 0.5517 |
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+ | No log | 0.7869 | 48 | 0.5246 | 0.6740 | 0.5231 |
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+ | No log | 0.8197 | 50 | 0.5072 | 0.6225 | 0.5054 |
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+ | No log | 0.8525 | 52 | 0.5048 | 0.5882 | 0.5030 |
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+ | No log | 0.8852 | 54 | 0.5019 | 0.5965 | 0.5002 |
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+ | No log | 0.9180 | 56 | 0.4958 | 0.6015 | 0.4942 |
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+ | No log | 0.9508 | 58 | 0.4908 | 0.6094 | 0.4893 |
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+ | No log | 0.9836 | 60 | 0.4885 | 0.6405 | 0.4871 |
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  ### Framework versions