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results_indobert-large-p2_preprocessing_without_stopword
Alfanatasya/results_indobert-large-p2_preprocessing_without_stopword
results_indobert-large-p2_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
- Aug 9, 2025
- Updated
- Aug 14, 2025
- SHA
- 8572025c
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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_without_stopword
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: 0.7230
- Accuracy: 0.7636
- Precision: 0.7658
- Recall: 0.7745
- F1: 0.7644
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 |
|---|---|---|---|---|---|---|---|
| 1.6559 | 1.0 | 111 | 1.5042 | 0.3023 | 0.4465 | 0.2538 | 0.1946 |
| 1.3242 | 2.0 | 222 | 0.9782 | 0.6568 | 0.6566 | 0.6570 | 0.6463 |
| 0.8275 | 3.0 | 333 | 0.7017 | 0.7455 | 0.7494 | 0.7527 | 0.7416 |
| 0.6269 | 4.0 | 444 | 0.7056 | 0.7591 | 0.7558 | 0.7735 | 0.7592 |
| 0.4962 | 5.0 | 555 | 0.7230 | 0.7636 | 0.7658 | 0.7745 | 0.7644 |
| 0.3793 | 6.0 | 666 | 0.7975 | 0.7455 | 0.7431 | 0.7630 | 0.7475 |
| 0.271 | 7.0 | 777 | 0.8387 | 0.75 | 0.7496 | 0.7605 | 0.7509 |
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 9, 2025
- Updated
- Aug 14, 2025