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results_indobert-base-p2_with_augmentasi
Alfanatasya/results_indobert-base-p2_with_augmentasi
results_indobert-base-p2_with_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
- Aug 8, 2025
- Updated
- Aug 8, 2025
- SHA
- b931fbd5
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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_augmentasi
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: 0.8119
- Accuracy: 0.7016
- Precision: 0.7049
- Recall: 0.7116
- F1: 0.7031
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 |
|---|---|---|---|---|---|---|---|
| 1.4945 | 1.0 | 220 | 1.0477 | 0.5877 | 0.5994 | 0.5813 | 0.5559 |
| 0.9797 | 2.0 | 440 | 0.8187 | 0.6970 | 0.6962 | 0.7143 | 0.6952 |
| 0.7689 | 3.0 | 660 | 0.8119 | 0.7016 | 0.7049 | 0.7116 | 0.7031 |
| 0.5904 | 4.0 | 880 | 0.9085 | 0.6879 | 0.6959 | 0.7052 | 0.6888 |
| 0.4418 | 5.0 | 1100 | 1.0522 | 0.6606 | 0.6607 | 0.6879 | 0.6681 |
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