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sentiment-pt-pl20-0

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  1. README.md +25 -27
  2. runs/Jun03_13-00-03_a358b85c7679/events.out.tfevents.1717419612.a358b85c7679.93606.0 +2 -2
  3. sentiment-pt/pytorch_adapter.bin +1 -1
  4. 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: 0.2809
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- - Accuracy: 0.9023
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- - Precision: 0.8758
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- - Recall: 0.8983
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- - F1: 0.8857
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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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- | 0.5417 | 1.0 | 122 | 0.4692 | 0.7368 | 0.6763 | 0.6438 | 0.6531 |
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- | 0.4301 | 2.0 | 244 | 0.4378 | 0.7769 | 0.7547 | 0.8022 | 0.7593 |
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- | 0.3347 | 3.0 | 366 | 0.3451 | 0.8446 | 0.8158 | 0.8026 | 0.8086 |
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- | 0.2954 | 4.0 | 488 | 0.3337 | 0.8647 | 0.8377 | 0.8342 | 0.8359 |
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- | 0.2632 | 5.0 | 610 | 0.3356 | 0.8571 | 0.8248 | 0.8414 | 0.8321 |
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- | 0.2492 | 6.0 | 732 | 0.3261 | 0.8446 | 0.8110 | 0.8451 | 0.8231 |
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- | 0.227 | 7.0 | 854 | 0.2978 | 0.8797 | 0.8496 | 0.8749 | 0.8602 |
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- | 0.2189 | 8.0 | 976 | 0.2742 | 0.8947 | 0.8789 | 0.8630 | 0.8704 |
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- | 0.2068 | 9.0 | 1098 | 0.2875 | 0.8922 | 0.8673 | 0.8763 | 0.8716 |
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- | 0.1935 | 10.0 | 1220 | 0.2693 | 0.9073 | 0.8904 | 0.8844 | 0.8873 |
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- | 0.1729 | 11.0 | 1342 | 0.2715 | 0.9073 | 0.8840 | 0.8969 | 0.8900 |
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- | 0.1639 | 12.0 | 1464 | 0.2755 | 0.8997 | 0.8733 | 0.8941 | 0.8825 |
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- | 0.1564 | 13.0 | 1586 | 0.2662 | 0.9023 | 0.8828 | 0.8808 | 0.8818 |
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- | 0.1495 | 14.0 | 1708 | 0.2973 | 0.8997 | 0.8722 | 0.8991 | 0.8835 |
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- | 0.1487 | 15.0 | 1830 | 0.2732 | 0.9098 | 0.8865 | 0.9012 | 0.8932 |
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- | 0.141 | 16.0 | 1952 | 0.2842 | 0.9048 | 0.8784 | 0.9026 | 0.8888 |
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- | 0.1276 | 17.0 | 2074 | 0.2794 | 0.9048 | 0.8798 | 0.8976 | 0.8878 |
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- | 0.1383 | 18.0 | 2196 | 0.2787 | 0.9073 | 0.8823 | 0.9019 | 0.8910 |
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- | 0.1371 | 19.0 | 2318 | 0.2780 | 0.9023 | 0.8758 | 0.8983 | 0.8857 |
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- | 0.1248 | 20.0 | 2440 | 0.2809 | 0.9023 | 0.8758 | 0.8983 | 0.8857 |
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  ### Framework versions
 
1
  ---
 
 
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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: 0.2882
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+ - Accuracy: 0.9073
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+ - Precision: 0.8875
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+ - Recall: 0.8894
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+ - F1: 0.8884
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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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+ | 0.5417 | 1.0 | 122 | 0.4732 | 0.7544 | 0.7028 | 0.6612 | 0.6731 |
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+ | 0.4395 | 2.0 | 244 | 0.4128 | 0.7920 | 0.7613 | 0.8028 | 0.7705 |
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+ | 0.3319 | 3.0 | 366 | 0.3230 | 0.8647 | 0.8439 | 0.8217 | 0.8315 |
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+ | 0.2873 | 4.0 | 488 | 0.3222 | 0.8521 | 0.8201 | 0.8279 | 0.8238 |
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+ | 0.2571 | 5.0 | 610 | 0.2968 | 0.8722 | 0.8431 | 0.8546 | 0.8484 |
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+ | 0.2443 | 6.0 | 732 | 0.2918 | 0.8672 | 0.8353 | 0.8635 | 0.8466 |
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+ | 0.2256 | 7.0 | 854 | 0.2982 | 0.8647 | 0.8325 | 0.8642 | 0.8447 |
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+ | 0.2172 | 8.0 | 976 | 0.2722 | 0.8922 | 0.8826 | 0.8512 | 0.8647 |
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+ | 0.2049 | 9.0 | 1098 | 0.2648 | 0.8947 | 0.8698 | 0.8805 | 0.8749 |
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+ | 0.1914 | 10.0 | 1220 | 0.2680 | 0.9073 | 0.8977 | 0.8744 | 0.8849 |
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+ | 0.1724 | 11.0 | 1342 | 0.2645 | 0.8997 | 0.8757 | 0.8866 | 0.8808 |
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+ | 0.1689 | 12.0 | 1464 | 0.2746 | 0.8997 | 0.8740 | 0.8916 | 0.8819 |
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+ | 0.1473 | 13.0 | 1586 | 0.2837 | 0.9048 | 0.9002 | 0.8651 | 0.8801 |
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+ | 0.1577 | 14.0 | 1708 | 0.2892 | 0.9023 | 0.8773 | 0.8933 | 0.8846 |
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+ | 0.1468 | 15.0 | 1830 | 0.2789 | 0.9023 | 0.8802 | 0.8858 | 0.8830 |
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+ | 0.1473 | 16.0 | 1952 | 0.2852 | 0.8972 | 0.8732 | 0.8823 | 0.8776 |
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+ | 0.1274 | 17.0 | 2074 | 0.2858 | 0.9048 | 0.8838 | 0.8876 | 0.8857 |
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+ | 0.1318 | 18.0 | 2196 | 0.2927 | 0.8997 | 0.8767 | 0.8841 | 0.8803 |
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+ | 0.1355 | 19.0 | 2318 | 0.2884 | 0.9073 | 0.8875 | 0.8894 | 0.8884 |
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+ | 0.1367 | 20.0 | 2440 | 0.2882 | 0.9073 | 0.8875 | 0.8894 | 0.8884 |
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  ### Framework versions
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