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results_indobert-base-p2_with_preprocess_augmentasi
Alfanatasya/results_indobert-base-p2_with_preprocess_augmentasi
results_indobert-base-p2_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
- Aug 8, 2025
- Updated
- Aug 8, 2025
- SHA
- b2c8ca4a
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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_preprocess_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: 0.8227
- Accuracy: 0.7016
- Precision: 0.7074
- Recall: 0.7152
- F1: 0.7085
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 |
|---|---|---|---|---|---|---|---|
| 1.4456 | 1.0 | 219 | 0.9600 | 0.6241 | 0.6109 | 0.6281 | 0.6153 |
| 0.9394 | 2.0 | 438 | 0.8233 | 0.6879 | 0.7187 | 0.6821 | 0.6887 |
| 0.7441 | 3.0 | 657 | 0.8227 | 0.7016 | 0.7074 | 0.7152 | 0.7085 |
| 0.5722 | 4.0 | 876 | 0.9086 | 0.6970 | 0.7004 | 0.7120 | 0.7035 |
| 0.4299 | 5.0 | 1095 | 1.0365 | 0.6902 | 0.7001 | 0.6986 | 0.6913 |
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