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results_indobert-large-p1_preprocessing_without_stopword
Alfanatasya/results_indobert-large-p1_preprocessing_without_stopword
results_indobert-large-p1_preprocessing_without_stopword 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 28, 2025
- Updated
- Jul 28, 2025
- SHA
- 5b3346a1
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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-large-p1_preprocessing_without_stopword
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: 0.7076
- Accuracy: 0.7682
- Precision: 0.7633
- Recall: 0.7817
- F1: 0.7658
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 |
|---|---|---|---|---|---|---|---|
| 1.6575 | 1.0 | 111 | 1.5425 | 0.2977 | 0.4401 | 0.2546 | 0.2055 |
| 1.3195 | 2.0 | 222 | 0.9592 | 0.6659 | 0.6667 | 0.6679 | 0.6596 |
| 0.8309 | 3.0 | 333 | 0.6948 | 0.7614 | 0.7602 | 0.7677 | 0.7618 |
| 0.6519 | 4.0 | 444 | 0.7061 | 0.7523 | 0.7491 | 0.7687 | 0.7534 |
| 0.5121 | 5.0 | 555 | 0.7076 | 0.7682 | 0.7633 | 0.7817 | 0.7658 |
| 0.3865 | 6.0 | 666 | 0.7490 | 0.7523 | 0.7483 | 0.7657 | 0.7526 |
| 0.2813 | 7.0 | 777 | 0.8366 | 0.7568 | 0.7584 | 0.7681 | 0.7588 |
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 28, 2025
- Updated
- Jul 28, 2025