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Text Classification
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bert
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End of training

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  1. README.md +21 -21
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7828
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- - Macro F1: 0.9002
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- - Precision: 0.8999
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- - Recall: 0.9007
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- - Kappa: 0.8082
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- - Accuracy: 0.9007
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  ## Model description
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@@ -56,21 +56,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Precision | Recall | Kappa | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|
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- | 0.492 | 1.0 | 697 | 0.3226 | 0.8904 | 0.8920 | 0.8923 | 0.7872 | 0.8923 |
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- | 0.3283 | 2.0 | 1395 | 0.3107 | 0.9000 | 0.9001 | 0.9010 | 0.8071 | 0.9010 |
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- | 0.2371 | 3.0 | 2092 | 0.3224 | 0.8959 | 0.8973 | 0.8949 | 0.8020 | 0.8949 |
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- | 0.1817 | 4.0 | 2790 | 0.3469 | 0.9000 | 0.9007 | 0.9000 | 0.8082 | 0.9000 |
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- | 0.1372 | 5.0 | 3487 | 0.4185 | 0.8966 | 0.8980 | 0.8962 | 0.8034 | 0.8962 |
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- | 0.0779 | 6.0 | 4185 | 0.4717 | 0.8989 | 0.8991 | 0.8992 | 0.8059 | 0.8992 |
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- | 0.0676 | 7.0 | 4882 | 0.5415 | 0.8962 | 0.8972 | 0.8958 | 0.8014 | 0.8958 |
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- | 0.042 | 8.0 | 5580 | 0.6031 | 0.8984 | 0.8988 | 0.8982 | 0.8057 | 0.8982 |
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- | 0.0335 | 9.0 | 6277 | 0.6551 | 0.9017 | 0.9019 | 0.9025 | 0.8106 | 0.9025 |
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- | 0.0239 | 10.0 | 6975 | 0.7116 | 0.8975 | 0.8974 | 0.8980 | 0.8029 | 0.8980 |
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- | 0.0168 | 11.0 | 7672 | 0.7130 | 0.8976 | 0.8976 | 0.8984 | 0.8029 | 0.8984 |
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- | 0.019 | 12.0 | 8370 | 0.7464 | 0.9011 | 0.9007 | 0.9018 | 0.8101 | 0.9018 |
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- | 0.0121 | 13.0 | 9067 | 0.7709 | 0.9006 | 0.9003 | 0.9010 | 0.8091 | 0.9010 |
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- | 0.0089 | 14.0 | 9765 | 0.7790 | 0.9002 | 0.9002 | 0.9007 | 0.8081 | 0.9007 |
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- | 0.0068 | 14.99 | 10455 | 0.7828 | 0.9002 | 0.8999 | 0.9007 | 0.8082 | 0.9007 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3733
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+ - Macro F1: 0.7820
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+ - Precision: 0.7773
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+ - Recall: 0.7917
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+ - Kappa: 0.6875
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+ - Accuracy: 0.7917
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Precision | Recall | Kappa | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|
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+ | 1.1229 | 1.0 | 697 | 0.8030 | 0.7500 | 0.7330 | 0.7852 | 0.6631 | 0.7852 |
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+ | 0.8056 | 2.0 | 1395 | 0.7428 | 0.7698 | 0.7571 | 0.7974 | 0.6888 | 0.7974 |
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+ | 0.64 | 3.0 | 2092 | 0.7285 | 0.7731 | 0.7653 | 0.7958 | 0.6867 | 0.7958 |
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+ | 0.5323 | 4.0 | 2790 | 0.7310 | 0.7848 | 0.7758 | 0.8019 | 0.7010 | 0.8019 |
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+ | 0.4717 | 5.0 | 3487 | 0.8139 | 0.7777 | 0.7736 | 0.7924 | 0.6849 | 0.7924 |
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+ | 0.312 | 6.0 | 4185 | 0.8625 | 0.7835 | 0.7761 | 0.7974 | 0.6950 | 0.7974 |
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+ | 0.2707 | 7.0 | 4882 | 0.9528 | 0.7824 | 0.7804 | 0.7910 | 0.6869 | 0.7910 |
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+ | 0.1907 | 8.0 | 5580 | 1.0535 | 0.7814 | 0.7749 | 0.7962 | 0.6902 | 0.7962 |
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+ | 0.1494 | 9.0 | 6277 | 1.1044 | 0.7791 | 0.7761 | 0.7863 | 0.6825 | 0.7863 |
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+ | 0.1408 | 10.0 | 6975 | 1.1593 | 0.7818 | 0.7790 | 0.7879 | 0.6845 | 0.7879 |
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+ | 0.0949 | 11.0 | 7672 | 1.2428 | 0.7846 | 0.7791 | 0.7954 | 0.6920 | 0.7954 |
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+ | 0.0815 | 12.0 | 8370 | 1.2998 | 0.7834 | 0.7770 | 0.7963 | 0.6926 | 0.7963 |
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+ | 0.0657 | 13.0 | 9067 | 1.3431 | 0.7827 | 0.7784 | 0.7929 | 0.6889 | 0.7929 |
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+ | 0.0509 | 14.0 | 9765 | 1.3687 | 0.7813 | 0.7773 | 0.7910 | 0.6863 | 0.7910 |
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+ | 0.0488 | 14.99 | 10455 | 1.3733 | 0.7820 | 0.7773 | 0.7917 | 0.6875 | 0.7917 |
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  ### Framework versions
model.safetensors CHANGED
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