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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: 1.3454
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- - Macro F1: 0.7875
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- - Precision: 0.7834
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- - Recall: 0.7949
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- - Kappa: 0.6913
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- - Accuracy: 0.7949
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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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- | 1.1521 | 1.0 | 697 | 0.7730 | 0.7668 | 0.7492 | 0.7976 | 0.6831 | 0.7976 |
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- | 0.7985 | 2.0 | 1395 | 0.7075 | 0.7817 | 0.7674 | 0.8003 | 0.6965 | 0.8003 |
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- | 0.6333 | 3.0 | 2092 | 0.7101 | 0.7840 | 0.7793 | 0.8078 | 0.7023 | 0.8078 |
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- | 0.5307 | 4.0 | 2790 | 0.7471 | 0.7797 | 0.7779 | 0.7989 | 0.6929 | 0.7989 |
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- | 0.447 | 5.0 | 3487 | 0.7967 | 0.7826 | 0.7765 | 0.7951 | 0.6916 | 0.7951 |
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- | 0.304 | 6.0 | 4185 | 0.8912 | 0.7884 | 0.7836 | 0.7976 | 0.6961 | 0.7976 |
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- | 0.2597 | 7.0 | 4882 | 0.9286 | 0.7872 | 0.7820 | 0.7962 | 0.6925 | 0.7962 |
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- | 0.1859 | 8.0 | 5580 | 1.0321 | 0.7887 | 0.7845 | 0.7996 | 0.6963 | 0.7996 |
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- | 0.1542 | 9.0 | 6277 | 1.0918 | 0.7840 | 0.7801 | 0.7926 | 0.6879 | 0.7926 |
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- | 0.135 | 10.0 | 6975 | 1.1611 | 0.7884 | 0.7825 | 0.8035 | 0.6988 | 0.8035 |
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- | 0.0894 | 11.0 | 7672 | 1.2353 | 0.7866 | 0.7862 | 0.7911 | 0.6871 | 0.7911 |
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- | 0.084 | 12.0 | 8370 | 1.2618 | 0.7875 | 0.7832 | 0.7965 | 0.6920 | 0.7965 |
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- | 0.0595 | 13.0 | 9067 | 1.3147 | 0.7847 | 0.7836 | 0.7879 | 0.6844 | 0.7879 |
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- | 0.0472 | 14.0 | 9765 | 1.3424 | 0.7872 | 0.7839 | 0.7942 | 0.6897 | 0.7942 |
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- | 0.0422 | 14.99 | 10455 | 1.3454 | 0.7875 | 0.7834 | 0.7949 | 0.6913 | 0.7949 |
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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: 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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  | 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
model.safetensors CHANGED
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