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IndoBERT-Sentiment-Analysis6
wildansofhal/IndoBERT-Sentiment-Analysis6
IndoBERT-Sentiment-Analysis6 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 17, 2025
- Updated
- Jul 17, 2025
- SHA
- 52383607
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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-Analysis6
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: 0.3945
- Accuracy: 0.8551
- F1 Score: 0.8547
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: 1e-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 |
|---|---|---|---|---|---|
| 0.621 | 0.1096 | 50 | 0.6320 | 0.6410 | 0.6393 |
| 0.5841 | 0.2193 | 100 | 0.5625 | 0.7064 | 0.7037 |
| 0.5411 | 0.3289 | 150 | 0.4727 | 0.7718 | 0.7718 |
| 0.5083 | 0.4386 | 200 | 0.4486 | 0.8051 | 0.8040 |
| 0.3795 | 0.5482 | 250 | 0.4415 | 0.8205 | 0.8205 |
| 0.5036 | 0.6579 | 300 | 0.4244 | 0.8128 | 0.8113 |
| 0.4131 | 0.7675 | 350 | 0.3931 | 0.8449 | 0.8447 |
| 0.3421 | 0.8772 | 400 | 0.4244 | 0.8423 | 0.8414 |
| 0.3719 | 0.9868 | 450 | 0.3944 | 0.8551 | 0.8547 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 17, 2025
- Updated
- Jul 17, 2025