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indobert-post-training-fin-sa-exp-3
elidle/indobert-post-training-fin-sa-exp-3
indobert-post-training-fin-sa-exp-3 is a text classification model from elidle. 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
- Jun 21, 2025
- Updated
- Jun 21, 2025
- SHA
- 1983912c
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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. -->
indobert-post-training-fin-sa-5
This model is a fine-tuned version of elidle/indobert-fin_news-mlm-3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1628
- Accuracy: 0.9615
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
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.048 | 0.1961 | 10 | 0.6923 | 0.7527 |
| 0.5601 | 0.3922 | 20 | 0.4627 | 0.7967 |
| 0.426 | 0.5882 | 30 | 0.3104 | 0.8956 |
| 0.2903 | 0.7843 | 40 | 0.2263 | 0.9176 |
| 0.1868 | 0.9804 | 50 | 0.2365 | 0.9231 |
| 0.1661 | 1.1765 | 60 | 0.1958 | 0.9286 |
| 0.115 | 1.3725 | 70 | 0.1614 | 0.9396 |
| 0.1015 | 1.5686 | 80 | 0.1678 | 0.9505 |
| 0.1147 | 1.7647 | 90 | 0.1863 | 0.9505 |
| 0.1358 | 1.9608 | 100 | 0.1808 | 0.9505 |
| 0.0561 | 2.1569 | 110 | 0.1565 | 0.9505 |
| 0.0473 | 2.3529 | 120 | 0.1953 | 0.9451 |
| 0.0502 | 2.5490 | 130 | 0.1447 | 0.9615 |
| 0.0806 | 2.7451 | 140 | 0.1681 | 0.9505 |
| 0.082 | 2.9412 | 150 | 0.1859 | 0.9451 |
| 0.0179 | 3.1373 | 160 | 0.1451 | 0.9725 |
| 0.048 | 3.3333 | 170 | 0.1631 | 0.9725 |
| 0.0067 | 3.5294 | 180 | 0.1628 | 0.9615 |
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
- Jun 21, 2025
- Updated
- Jun 21, 2025