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indobert-base-uncased-difficulty-prediction
hawalurahman/indobert-base-uncased-difficulty-prediction
indobert-base-uncased-difficulty-prediction is a text classification model from hawalurahman. 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
- Apr 30, 2026
- Updated
- Apr 30, 2026
- SHA
- 1e36efb4
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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-base-uncased-difficulty-prediction
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0846
- Accuracy: 0.4353
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0442 | 1.0 | 35 | 0.9825 | 0.5176 |
| 0.925 | 2.0 | 70 | 0.9406 | 0.5176 |
| 0.8249 | 3.0 | 105 | 1.0124 | 0.2941 |
| 0.7545 | 4.0 | 140 | 0.9648 | 0.4353 |
| 0.6883 | 5.0 | 175 | 0.9709 | 0.4471 |
| 0.6195 | 6.0 | 210 | 0.9545 | 0.4941 |
| 0.5723 | 7.0 | 245 | 1.0323 | 0.4235 |
| 0.5456 | 8.0 | 280 | 1.0279 | 0.4353 |
| 0.519 | 9.0 | 315 | 1.0599 | 0.4353 |
| 0.5071 | 10.0 | 350 | 1.0846 | 0.4353 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu129
- Datasets 4.2.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026