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apwic
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sentiment-base-3

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  ---
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- language:
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- - id
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  license: mit
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  base_model: indolem/indobert-base-uncased
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  tags:
@@ -22,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7050
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  - Accuracy: 0.9023
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- - Precision: 0.8893
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- - Recall: 0.8708
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- - F1: 0.8793
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  ## Model description
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@@ -57,26 +55,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 0.3971 | 1.0 | 122 | 0.2704 | 0.8822 | 0.8715 | 0.8367 | 0.8513 |
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- | 0.214 | 2.0 | 244 | 0.2381 | 0.9198 | 0.9033 | 0.9033 | 0.9033 |
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- | 0.1301 | 3.0 | 366 | 0.3832 | 0.8797 | 0.8795 | 0.8224 | 0.8439 |
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- | 0.0904 | 4.0 | 488 | 0.3873 | 0.8947 | 0.8662 | 0.8955 | 0.8782 |
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- | 0.0587 | 5.0 | 610 | 0.4034 | 0.9148 | 0.9022 | 0.8897 | 0.8956 |
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- | 0.0496 | 6.0 | 732 | 0.5249 | 0.8922 | 0.8632 | 0.8938 | 0.8756 |
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- | 0.0362 | 7.0 | 854 | 0.5330 | 0.9073 | 0.8999 | 0.8719 | 0.8842 |
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- | 0.0223 | 8.0 | 976 | 0.6168 | 0.8972 | 0.8743 | 0.8798 | 0.8770 |
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- | 0.0191 | 9.0 | 1098 | 0.7104 | 0.8947 | 0.8870 | 0.8530 | 0.8675 |
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- | 0.0147 | 10.0 | 1220 | 0.6125 | 0.8972 | 0.8732 | 0.8823 | 0.8776 |
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- | 0.0121 | 11.0 | 1342 | 0.6883 | 0.9048 | 0.8790 | 0.9001 | 0.8883 |
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- | 0.0118 | 12.0 | 1464 | 0.6760 | 0.8972 | 0.8723 | 0.8848 | 0.8781 |
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- | 0.0034 | 13.0 | 1586 | 0.7163 | 0.9048 | 0.8851 | 0.8851 | 0.8851 |
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- | 0.0064 | 14.0 | 1708 | 0.7180 | 0.9073 | 0.8875 | 0.8894 | 0.8884 |
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- | 0.008 | 15.0 | 1830 | 0.6915 | 0.9048 | 0.8978 | 0.8676 | 0.8808 |
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- | 0.0052 | 16.0 | 1952 | 0.6778 | 0.9073 | 0.8875 | 0.8894 | 0.8884 |
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- | 0.0066 | 17.0 | 2074 | 0.6993 | 0.9073 | 0.8875 | 0.8894 | 0.8884 |
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- | 0.0053 | 18.0 | 2196 | 0.6966 | 0.9048 | 0.8956 | 0.8701 | 0.8814 |
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- | 0.0022 | 19.0 | 2318 | 0.7112 | 0.8997 | 0.8852 | 0.8691 | 0.8765 |
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- | 0.0042 | 20.0 | 2440 | 0.7050 | 0.9023 | 0.8893 | 0.8708 | 0.8793 |
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  ### Framework versions
 
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  ---
 
 
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  license: mit
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  base_model: indolem/indobert-base-uncased
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  tags:
 
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  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8030
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  - Accuracy: 0.9023
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+ - Precision: 0.8875
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+ - Recall: 0.8733
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+ - F1: 0.8799
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.4092 | 1.0 | 122 | 0.3457 | 0.8521 | 0.8930 | 0.7554 | 0.7892 |
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+ | 0.2282 | 2.0 | 244 | 0.2584 | 0.8922 | 0.8749 | 0.8612 | 0.8676 |
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+ | 0.138 | 3.0 | 366 | 0.4417 | 0.8797 | 0.8825 | 0.8199 | 0.8430 |
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+ | 0.0837 | 4.0 | 488 | 0.4037 | 0.9023 | 0.8893 | 0.8708 | 0.8793 |
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+ | 0.0426 | 5.0 | 610 | 0.5462 | 0.9048 | 0.8806 | 0.8951 | 0.8873 |
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+ | 0.0502 | 6.0 | 732 | 0.5626 | 0.8897 | 0.8618 | 0.8820 | 0.8707 |
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+ | 0.0242 | 7.0 | 854 | 0.6241 | 0.9073 | 0.8977 | 0.8744 | 0.8849 |
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+ | 0.0217 | 8.0 | 976 | 0.7096 | 0.8872 | 0.8579 | 0.8852 | 0.8692 |
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+ | 0.0229 | 9.0 | 1098 | 0.6115 | 0.9123 | 0.8910 | 0.9004 | 0.8955 |
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+ | 0.0109 | 10.0 | 1220 | 0.7575 | 0.8972 | 0.8796 | 0.8698 | 0.8745 |
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+ | 0.0068 | 11.0 | 1342 | 0.7537 | 0.9073 | 0.8938 | 0.8794 | 0.8861 |
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+ | 0.0131 | 12.0 | 1464 | 0.7247 | 0.8972 | 0.8732 | 0.8823 | 0.8776 |
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+ | 0.0101 | 13.0 | 1586 | 0.7928 | 0.8972 | 0.8754 | 0.8773 | 0.8764 |
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+ | 0.0061 | 14.0 | 1708 | 0.7849 | 0.9073 | 0.8875 | 0.8894 | 0.8884 |
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+ | 0.0135 | 15.0 | 1830 | 0.7816 | 0.8972 | 0.8830 | 0.8648 | 0.8731 |
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+ | 0.0081 | 16.0 | 1952 | 0.7727 | 0.8972 | 0.8767 | 0.8748 | 0.8757 |
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+ | 0.0027 | 17.0 | 2074 | 0.8128 | 0.8972 | 0.8754 | 0.8773 | 0.8764 |
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+ | 0.0041 | 18.0 | 2196 | 0.8081 | 0.9023 | 0.8828 | 0.8808 | 0.8818 |
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+ | 0.0018 | 19.0 | 2318 | 0.8039 | 0.9023 | 0.8893 | 0.8708 | 0.8793 |
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+ | 0.0025 | 20.0 | 2440 | 0.8030 | 0.9023 | 0.8875 | 0.8733 | 0.8799 |
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  ### Framework versions