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results_indobert-base-p2_with_preprocessing
Alfanatasya/results_indobert-base-p2_with_preprocessing
results_indobert-base-p2_with_preprocessing is a text classification model from Alfanatasya. 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
- Aug 8, 2025
- Updated
- Aug 8, 2025
- SHA
- 01e47a17
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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. -->
results_indobert-base-p2_with_preprocessing
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7779
- Accuracy: 0.7318
- Precision: 0.7391
- Recall: 0.7412
- F1: 0.7380
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.5684 | 1.0 | 111 | 1.3823 | 0.4364 | 0.5325 | 0.3875 | 0.3689 |
| 1.1984 | 2.0 | 222 | 0.9299 | 0.65 | 0.6479 | 0.6543 | 0.6476 |
| 0.8375 | 3.0 | 333 | 0.7704 | 0.7273 | 0.7247 | 0.7301 | 0.7248 |
| 0.6701 | 4.0 | 444 | 0.7871 | 0.7227 | 0.7288 | 0.7315 | 0.7238 |
| 0.5571 | 5.0 | 555 | 0.7779 | 0.7318 | 0.7391 | 0.7412 | 0.7380 |
| 0.4113 | 6.0 | 666 | 0.9505 | 0.7 | 0.7113 | 0.7130 | 0.7086 |
| 0.2958 | 7.0 | 777 | 1.0284 | 0.7091 | 0.7256 | 0.7195 | 0.7206 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 8, 2025
- Updated
- Aug 8, 2025