| --- |
| license: mit |
| base_model: indobenchmark/indobert-base-p1 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: text-classification-p1 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # text-classification-p1 |
|
|
| This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2636 |
| - Balanced Accuracy: 0.7994 |
|
|
| ## 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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|
| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:-----------------:| |
| | 0.7964 | 1.0 | 166 | 0.9239 | 0.7087 | |
| | 0.6617 | 2.0 | 332 | 0.8031 | 0.7454 | |
| | 0.3777 | 3.0 | 498 | 0.8557 | 0.7721 | |
| | 0.227 | 4.0 | 664 | 0.9777 | 0.7939 | |
| | 0.1234 | 5.0 | 830 | 1.0658 | 0.7928 | |
| | 0.1506 | 6.0 | 996 | 1.1731 | 0.7920 | |
| | 0.0913 | 7.0 | 1162 | 1.2047 | 0.7927 | |
| | 0.132 | 8.0 | 1328 | 1.2619 | 0.7978 | |
| | 0.0599 | 9.0 | 1494 | 1.2636 | 0.7994 | |
| | 0.0259 | 10.0 | 1660 | 1.2661 | 0.7992 | |
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| ### Framework versions |
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|
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
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|
