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umn-cyber/indobert-hoax-detection

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  1. README.md +10 -10
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,10 +21,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0452
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- - Accuracy: 0.9861
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- - F1: 0.9854
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- - Precision: 0.9837
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  - Recall: 0.9872
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  ## Model description
@@ -50,17 +50,17 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.0371 | 1.0 | 739 | 0.0493 | 0.9875 | 0.9869 | 0.9851 | 0.9886 |
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- | 0.0407 | 2.0 | 1478 | 0.0432 | 0.9868 | 0.9862 | 0.9830 | 0.9893 |
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- | 0.0446 | 3.0 | 2217 | 0.0647 | 0.9841 | 0.9835 | 0.9735 | 0.9936 |
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- | 0.031 | 4.0 | 2956 | 0.0766 | 0.9854 | 0.9846 | 0.9892 | 0.9801 |
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- | 0.0072 | 5.0 | 3695 | 0.0816 | 0.9871 | 0.9865 | 0.9865 | 0.9865 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0767
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+ - Accuracy: 0.9885
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+ - F1: 0.9879
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+ - Precision: 0.9886
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  - Recall: 0.9872
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  ## Model description
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.0879 | 1.0 | 739 | 0.0471 | 0.9871 | 0.9865 | 0.9837 | 0.9893 |
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+ | 0.0443 | 2.0 | 1478 | 0.0391 | 0.9895 | 0.9890 | 0.9872 | 0.9908 |
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+ | 0.0241 | 3.0 | 2217 | 0.0615 | 0.9871 | 0.9866 | 0.9803 | 0.9929 |
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+ | 0.0103 | 4.0 | 2956 | 0.0792 | 0.9868 | 0.9861 | 0.9893 | 0.9829 |
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+ | 0.0029 | 5.0 | 3695 | 0.0767 | 0.9885 | 0.9879 | 0.9886 | 0.9872 |
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  ### Framework versions
model.safetensors CHANGED
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