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results_indobert-large-p1_with_preprocess_augmentasi
Alfanatasya/results_indobert-large-p1_with_preprocess_augmentasi
results_indobert-large-p1_with_preprocess_augmentasi 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
- Jul 26, 2025
- Updated
- Jul 26, 2025
- SHA
- e9abff0d
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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-large-p1_with_preprocess_augmentasi
This model is a fine-tuned version of indobenchmark/indobert-large-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9592
- Accuracy: 0.7001
- Precision: 0.6990
- Recall: 0.7029
- F1: 0.6985
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 OptimizerNames.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 |
|---|---|---|---|---|---|---|---|
| 1.588 | 1.0 | 220 | 1.2180 | 0.5450 | 0.5403 | 0.5561 | 0.5172 |
| 0.9771 | 2.0 | 440 | 0.8663 | 0.6659 | 0.6636 | 0.6781 | 0.6656 |
| 0.7545 | 3.0 | 660 | 0.8137 | 0.6921 | 0.6912 | 0.6966 | 0.6898 |
| 0.6008 | 4.0 | 880 | 0.8976 | 0.6819 | 0.6784 | 0.6900 | 0.6822 |
| 0.4587 | 5.0 | 1100 | 0.9592 | 0.7001 | 0.6990 | 0.7029 | 0.6985 |
| 0.3447 | 6.0 | 1320 | 1.1043 | 0.6705 | 0.6731 | 0.6778 | 0.6738 |
| 0.2566 | 7.0 | 1540 | 1.1884 | 0.6625 | 0.6609 | 0.6781 | 0.6658 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 26, 2025
- Updated
- Jul 26, 2025