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phobert-v2-vietnamese-sentiment
hoangkkk/phobert-v2-vietnamese-sentiment
phobert-v2-vietnamese-sentiment is a text classification model from hoangkkk. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as agpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 12, 2026
- Updated
- May 11, 2026
- SHA
- 4d9abc47
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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. -->
phobert-v2-vietnamese-sentiment
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3906
- Macro F1: 0.8315
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
|---|---|---|---|---|
| 0.2924 | 1.0 | 1503 | 0.3635 | 0.7580 |
| 0.2308 | 2.0 | 3006 | 0.3014 | 0.8216 |
| 0.1890 | 3.0 | 4509 | 0.2945 | 0.8373 |
| 0.1633 | 4.0 | 6012 | 0.3609 | 0.8387 |
| 0.1336 | 5.0 | 7515 | 0.3906 | 0.8315 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Apr 12, 2026
- Updated
- May 11, 2026