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apwic
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sentiment-base-1

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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: 0.7891
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- - Accuracy: 0.8972
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- - Precision: 0.8796
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- - Recall: 0.8698
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- - F1: 0.8745
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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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- | 0.411 | 1.0 | 122 | 0.2751 | 0.8722 | 0.8474 | 0.8421 | 0.8446 |
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- | 0.2264 | 2.0 | 244 | 0.3037 | 0.8872 | 0.8574 | 0.8977 | 0.8719 |
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- | 0.1467 | 3.0 | 366 | 0.3442 | 0.8772 | 0.8465 | 0.8756 | 0.8582 |
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- | 0.0961 | 4.0 | 488 | 0.3737 | 0.8997 | 0.8819 | 0.8741 | 0.8778 |
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- | 0.0726 | 5.0 | 610 | 0.4306 | 0.8997 | 0.8835 | 0.8716 | 0.8772 |
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- | 0.0514 | 6.0 | 732 | 0.6449 | 0.8847 | 0.8546 | 0.8884 | 0.8677 |
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- | 0.0532 | 7.0 | 854 | 0.5595 | 0.8972 | 0.8754 | 0.8773 | 0.8764 |
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- | 0.0274 | 8.0 | 976 | 0.6728 | 0.8872 | 0.8687 | 0.8552 | 0.8615 |
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- | 0.0186 | 9.0 | 1098 | 0.6218 | 0.9073 | 0.8977 | 0.8744 | 0.8849 |
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- | 0.0121 | 10.0 | 1220 | 0.6576 | 0.8922 | 0.8766 | 0.8587 | 0.8669 |
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- | 0.0244 | 11.0 | 1342 | 0.7507 | 0.8972 | 0.8940 | 0.8523 | 0.8695 |
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- | 0.0062 | 12.0 | 1464 | 0.6859 | 0.8972 | 0.8849 | 0.8623 | 0.8724 |
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- | 0.0099 | 13.0 | 1586 | 0.6514 | 0.9073 | 0.8904 | 0.8844 | 0.8873 |
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- | 0.0087 | 14.0 | 1708 | 0.7604 | 0.8997 | 0.8852 | 0.8691 | 0.8765 |
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- | 0.0056 | 15.0 | 1830 | 0.7282 | 0.9023 | 0.8875 | 0.8733 | 0.8799 |
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- | 0.0063 | 16.0 | 1952 | 0.6987 | 0.9123 | 0.8965 | 0.8904 | 0.8934 |
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- | 0.0071 | 17.0 | 2074 | 0.7402 | 0.9048 | 0.8897 | 0.8776 | 0.8833 |
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- | 0.0023 | 18.0 | 2196 | 0.7846 | 0.8922 | 0.8719 | 0.8662 | 0.8690 |
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- | 0.0043 | 19.0 | 2318 | 0.7948 | 0.8922 | 0.8719 | 0.8662 | 0.8690 |
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- | 0.0021 | 20.0 | 2440 | 0.7891 | 0.8972 | 0.8796 | 0.8698 | 0.8745 |
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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: 0.7908
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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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+ | 0.3889 | 1.0 | 122 | 0.4200 | 0.8045 | 0.8255 | 0.6867 | 0.7110 |
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+ | 0.2335 | 2.0 | 244 | 0.3136 | 0.8922 | 0.8644 | 0.8863 | 0.8739 |
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+ | 0.1411 | 3.0 | 366 | 0.3569 | 0.8972 | 0.8781 | 0.8723 | 0.8751 |
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+ | 0.1078 | 4.0 | 488 | 0.3537 | 0.9148 | 0.8923 | 0.9072 | 0.8992 |
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+ | 0.0822 | 5.0 | 610 | 0.5069 | 0.8797 | 0.8795 | 0.8224 | 0.8439 |
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+ | 0.0529 | 6.0 | 732 | 0.4262 | 0.9073 | 0.8862 | 0.8919 | 0.8890 |
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+ | 0.0365 | 7.0 | 854 | 0.5586 | 0.8972 | 0.8743 | 0.8798 | 0.8770 |
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+ | 0.033 | 8.0 | 976 | 0.5012 | 0.8947 | 0.8870 | 0.8530 | 0.8675 |
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+ | 0.0248 | 9.0 | 1098 | 0.5833 | 0.8922 | 0.8873 | 0.8462 | 0.8631 |
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+ | 0.0123 | 10.0 | 1220 | 0.6611 | 0.9023 | 0.8858 | 0.8758 | 0.8806 |
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+ | 0.0088 | 11.0 | 1342 | 0.6936 | 0.8947 | 0.8847 | 0.8555 | 0.8682 |
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+ | 0.0074 | 12.0 | 1464 | 0.6790 | 0.9023 | 0.8858 | 0.8758 | 0.8806 |
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+ | 0.0141 | 13.0 | 1586 | 0.6981 | 0.8972 | 0.8830 | 0.8648 | 0.8731 |
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+ | 0.0034 | 14.0 | 1708 | 0.7145 | 0.8972 | 0.8781 | 0.8723 | 0.8751 |
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+ | 0.0059 | 15.0 | 1830 | 0.7304 | 0.8997 | 0.8871 | 0.8666 | 0.8759 |
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+ | 0.0056 | 16.0 | 1952 | 0.7518 | 0.8997 | 0.8778 | 0.8816 | 0.8797 |
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+ | 0.0039 | 17.0 | 2074 | 0.7390 | 0.9023 | 0.8893 | 0.8708 | 0.8793 |
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+ | 0.004 | 18.0 | 2196 | 0.7641 | 0.9023 | 0.8875 | 0.8733 | 0.8799 |
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+ | 0.007 | 19.0 | 2318 | 0.7848 | 0.9023 | 0.8875 | 0.8733 | 0.8799 |
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+ | 0.0042 | 20.0 | 2440 | 0.7908 | 0.9023 | 0.8875 | 0.8733 | 0.8799 |
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  ### Framework versions