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IndoBERT-Sentiment-Analysis2
wildansofhal/IndoBERT-Sentiment-Analysis2
IndoBERT-Sentiment-Analysis2 is a text classification model from wildansofhal. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025
- SHA
- e615833f
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
IndoBERT-Sentiment-Analysis2
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3040
- Accuracy: 0.9077
- F1 Score: 0.9075
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score |
|---|---|---|---|---|---|
| 0.611 | 0.0960 | 50 | 0.6243 | 0.6769 | 0.6674 |
| 0.6 | 0.1919 | 100 | 0.5416 | 0.7308 | 0.7283 |
| 0.5393 | 0.2879 | 150 | 0.6418 | 0.7462 | 0.7335 |
| 0.609 | 0.3839 | 200 | 0.5666 | 0.7564 | 0.7443 |
| 0.4985 | 0.4798 | 250 | 0.4277 | 0.8385 | 0.8363 |
| 0.4525 | 0.5758 | 300 | 0.3436 | 0.8641 | 0.8635 |
| 0.3403 | 0.6718 | 350 | 0.3050 | 0.8769 | 0.8768 |
| 0.2759 | 0.7678 | 400 | 0.3428 | 0.8949 | 0.8948 |
| 0.3942 | 0.8637 | 450 | 0.3512 | 0.9 | 0.8996 |
| 0.4086 | 0.9597 | 500 | 0.3071 | 0.9128 | 0.9126 |
Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 16, 2025
- Updated
- Jul 16, 2025