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sentiment-unipelt

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  1. README.md +24 -26
  2. sentiment-unipelt/pytorch_adapter.bin +1 -1
  3. sentiment/pytorch_model_head.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
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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: 0.2811
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  - Accuracy: 0.9023
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- - Precision: 0.8773
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- - Recall: 0.8933
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- - F1: 0.8846
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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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- | 0.5459 | 1.0 | 122 | 0.4639 | 0.7469 | 0.6922 | 0.6459 | 0.6573 |
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- | 0.4335 | 2.0 | 244 | 0.4108 | 0.7845 | 0.7552 | 0.7975 | 0.7634 |
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- | 0.3375 | 3.0 | 366 | 0.3283 | 0.8596 | 0.8347 | 0.8207 | 0.8272 |
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- | 0.2801 | 4.0 | 488 | 0.3202 | 0.8596 | 0.8278 | 0.8432 | 0.8347 |
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- | 0.2572 | 5.0 | 610 | 0.3109 | 0.8747 | 0.8438 | 0.8713 | 0.8550 |
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- | 0.2339 | 6.0 | 732 | 0.3074 | 0.8672 | 0.8353 | 0.8660 | 0.8473 |
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- | 0.2249 | 7.0 | 854 | 0.2915 | 0.8672 | 0.8353 | 0.8660 | 0.8473 |
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- | 0.193 | 8.0 | 976 | 0.2540 | 0.8972 | 0.8781 | 0.8723 | 0.8751 |
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- | 0.1899 | 9.0 | 1098 | 0.2636 | 0.8822 | 0.8526 | 0.8767 | 0.8628 |
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- | 0.1801 | 10.0 | 1220 | 0.2371 | 0.9073 | 0.8840 | 0.8969 | 0.8900 |
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- | 0.157 | 11.0 | 1342 | 0.2567 | 0.8997 | 0.8733 | 0.8941 | 0.8825 |
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- | 0.1553 | 12.0 | 1464 | 0.2593 | 0.8972 | 0.8708 | 0.8898 | 0.8793 |
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- | 0.1381 | 13.0 | 1586 | 0.2490 | 0.9173 | 0.9010 | 0.8990 | 0.9000 |
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- | 0.1476 | 14.0 | 1708 | 0.2701 | 0.8997 | 0.8740 | 0.8916 | 0.8819 |
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- | 0.1447 | 15.0 | 1830 | 0.2611 | 0.9123 | 0.8899 | 0.9029 | 0.8960 |
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- | 0.1336 | 16.0 | 1952 | 0.3100 | 0.8997 | 0.8718 | 0.9016 | 0.8840 |
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- | 0.1192 | 17.0 | 2074 | 0.2935 | 0.8972 | 0.8696 | 0.8948 | 0.8803 |
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- | 0.1247 | 18.0 | 2196 | 0.2869 | 0.9023 | 0.8765 | 0.8958 | 0.8851 |
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- | 0.117 | 19.0 | 2318 | 0.2761 | 0.9023 | 0.8773 | 0.8933 | 0.8846 |
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- | 0.1092 | 20.0 | 2440 | 0.2811 | 0.9023 | 0.8773 | 0.8933 | 0.8846 |
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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: 0.2928
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  - Accuracy: 0.9023
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+ - Precision: 0.8842
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+ - Recall: 0.8783
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+ - F1: 0.8812
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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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+ | 0.5535 | 1.0 | 122 | 0.4992 | 0.7293 | 0.6646 | 0.6285 | 0.6373 |
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+ | 0.444 | 2.0 | 244 | 0.4053 | 0.8170 | 0.7847 | 0.8256 | 0.7961 |
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+ | 0.3464 | 3.0 | 366 | 0.3425 | 0.8421 | 0.8345 | 0.7683 | 0.7905 |
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+ | 0.2852 | 4.0 | 488 | 0.3136 | 0.8722 | 0.8445 | 0.8496 | 0.8470 |
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+ | 0.2608 | 5.0 | 610 | 0.3060 | 0.8722 | 0.8445 | 0.8496 | 0.8470 |
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+ | 0.2415 | 6.0 | 732 | 0.3100 | 0.8647 | 0.8325 | 0.8642 | 0.8447 |
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+ | 0.2329 | 7.0 | 854 | 0.2860 | 0.8847 | 0.8567 | 0.8734 | 0.8642 |
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+ | 0.199 | 8.0 | 976 | 0.2879 | 0.8872 | 0.8672 | 0.8577 | 0.8622 |
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+ | 0.1939 | 9.0 | 1098 | 0.2826 | 0.8897 | 0.8659 | 0.8695 | 0.8676 |
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+ | 0.1806 | 10.0 | 1220 | 0.2982 | 0.8797 | 0.8795 | 0.8224 | 0.8439 |
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+ | 0.1674 | 11.0 | 1342 | 0.2735 | 0.8947 | 0.8730 | 0.8730 | 0.8730 |
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+ | 0.1553 | 12.0 | 1464 | 0.2753 | 0.8947 | 0.8757 | 0.8680 | 0.8717 |
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+ | 0.1431 | 13.0 | 1586 | 0.2937 | 0.8922 | 0.8785 | 0.8562 | 0.8662 |
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+ | 0.1417 | 14.0 | 1708 | 0.2911 | 0.9073 | 0.8823 | 0.9019 | 0.8910 |
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+ | 0.1236 | 15.0 | 1830 | 0.2956 | 0.9023 | 0.8828 | 0.8808 | 0.8818 |
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+ | 0.1304 | 16.0 | 1952 | 0.3011 | 0.9023 | 0.8773 | 0.8933 | 0.8846 |
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+ | 0.1164 | 17.0 | 2074 | 0.2943 | 0.8997 | 0.8778 | 0.8816 | 0.8797 |
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+ | 0.1144 | 18.0 | 2196 | 0.2937 | 0.8972 | 0.8732 | 0.8823 | 0.8776 |
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+ | 0.1198 | 19.0 | 2318 | 0.2985 | 0.8972 | 0.8812 | 0.8673 | 0.8738 |
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+ | 0.1104 | 20.0 | 2440 | 0.2928 | 0.9023 | 0.8842 | 0.8783 | 0.8812 |
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  ### Framework versions
sentiment-unipelt/pytorch_adapter.bin CHANGED
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