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results_indobert-large-p2_preprocessing_aug_tuning
Alfanatasya/results_indobert-large-p2_preprocessing_aug_tuning
results_indobert-large-p2_preprocessing_aug_tuning 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 3, 2025
- Updated
- Aug 7, 2025
- SHA
- d2ad1660
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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-p2_preprocessing_aug_tuning
This model is a fine-tuned version of indobenchmark/indobert-large-p2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8227
- Accuracy: 0.7591
- Precision: 0.7611
- Recall: 0.7713
- F1: 0.7572
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: 6.6591480874794e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.9111 | 1.0 | 111 | 0.7952 | 0.7159 | 0.7332 | 0.7222 | 0.7166 |
| 0.486 | 2.0 | 222 | 0.8227 | 0.7591 | 0.7611 | 0.7713 | 0.7572 |
| 0.3142 | 3.0 | 333 | 1.0002 | 0.7386 | 0.7492 | 0.7436 | 0.7423 |
| 0.1618 | 4.0 | 444 | 1.4214 | 0.7409 | 0.7465 | 0.7515 | 0.7372 |
| 0.0909 | 5.0 | 555 | 1.4609 | 0.7477 | 0.7583 | 0.7517 | 0.7525 |
| 0.0758 | 6.0 | 666 | 1.5296 | 0.75 | 0.7531 | 0.7624 | 0.7546 |
| 0.0366 | 7.0 | 777 | 1.8776 | 0.7386 | 0.7413 | 0.7532 | 0.7423 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Aug 3, 2025
- Updated
- Aug 7, 2025