| ---
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| library_name: transformers
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| license: mit
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| base_model: indobenchmark/indobert-base-p1
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| tags:
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| - generated_from_trainer
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| metrics:
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| - accuracy
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| - f1
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| - precision
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| - recall
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| model-index:
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| - name: results
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| results: []
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| ---
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|
|
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| should probably proofread and complete it, then remove this comment. -->
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|
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| # results
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|
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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: 0.0457
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| - Accuracy: 0.9875
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| - F1: 0.9868
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| - Precision: 0.9865
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| - Recall: 0.9872
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|
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| ## Model description
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| More information needed
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| ## Intended uses & limitations
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| More information needed
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|
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| ## Training and evaluation data
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| More information needed
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|
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| ## Training procedure
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| ### Training hyperparameters
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| The following hyperparameters were used during training:
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| - learning_rate: 2e-05
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| - train_batch_size: 32
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| - eval_batch_size: 32
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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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|
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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
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| - Transformers 4.45.2
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| - Pytorch 2.4.1
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| - Datasets 2.19.2
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| - Tokenizers 0.20.1
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|
