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indonesian-roberta-base-company-reputation
elidle/indonesian-roberta-base-company-reputation
indonesian-roberta-base-company-reputation 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
- roberta
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- b4977bea
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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. -->
model5_sent
This model is a fine-tuned version of flax-community/indonesian-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.8395
- F1: 0.8402
- Loss: 0.5487
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss |
|---|---|---|---|---|---|
| 0.446 | 1.0 | 1708 | 0.8255 | 0.8284 | 0.4535 |
| 0.3533 | 2.0 | 3416 | 0.8357 | 0.8387 | 0.4683 |
| 0.2062 | 3.0 | 5124 | 0.8395 | 0.8402 | 0.5487 |
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
- roberta
- License
- mit
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025