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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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- generated_from_trainer |
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model-index: |
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- name: text-classification-indobert |
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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 |
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should probably proofread and complete it, then remove this comment. --> |
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# text-classification-indobert |
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This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9707 |
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- Balanced Accuracy: 0.7916 |
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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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## 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: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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 | Balanced Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:| |
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| 1.7367 | 1.0 | 166 | 1.4765 | 0.4090 | |
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| 1.2086 | 2.0 | 332 | 1.0634 | 0.6459 | |
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| 0.8858 | 3.0 | 498 | 0.7958 | 0.7412 | |
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| 0.715 | 4.0 | 664 | 0.8339 | 0.7167 | |
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| 0.358 | 5.0 | 830 | 0.7969 | 0.7732 | |
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| 0.4572 | 6.0 | 996 | 0.8822 | 0.7848 | |
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| 0.2681 | 7.0 | 1162 | 0.8832 | 0.7730 | |
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| 0.1724 | 8.0 | 1328 | 0.9523 | 0.7876 | |
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| 0.1618 | 9.0 | 1494 | 0.9707 | 0.7916 | |
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| 0.2215 | 10.0 | 1660 | 0.9926 | 0.7887 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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