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results_indobert-base-p2
Alfanatasya/results_indobert-base-p2
results_indobert-base-p2 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
- ced60307
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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
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: 0.8323
- Accuracy: 0.725
- Precision: 0.7240
- Recall: 0.7340
- F1: 0.7211
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 |
|---|---|---|---|---|---|---|---|
| 1.6028 | 1.0 | 111 | 1.4060 | 0.4182 | 0.3789 | 0.3850 | 0.3541 |
| 1.2337 | 2.0 | 222 | 0.9974 | 0.5932 | 0.5865 | 0.5881 | 0.5807 |
| 0.8887 | 3.0 | 333 | 0.8281 | 0.6705 | 0.6646 | 0.6827 | 0.6627 |
| 0.6928 | 4.0 | 444 | 0.8324 | 0.7045 | 0.7004 | 0.7207 | 0.7036 |
| 0.5514 | 5.0 | 555 | 0.8323 | 0.725 | 0.7240 | 0.7340 | 0.7211 |
| 0.4259 | 6.0 | 666 | 0.8916 | 0.7182 | 0.7223 | 0.7338 | 0.7264 |
| 0.3103 | 7.0 | 777 | 1.0600 | 0.6864 | 0.6886 | 0.7029 | 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