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phobert-vsa-restaurant-8k
pqthinh232/phobert-vsa-restaurant-8k
phobert-vsa-restaurant-8k is a text classification model from pqthinh232. 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
- Apr 11, 2026
- Updated
- Apr 11, 2026
- SHA
- 7486dc6f
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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-vsa-restaurant-8k
This model is a fine-tuned version of vinai/phobert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2661
- Accuracy: 0.9024
- F1: 0.9019
- Precision: 0.9017
- Recall: 0.9024
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: 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3904 | 1.0 | 400 | 0.3558 | 0.8473 | 0.8525 | 0.8656 | 0.8473 |
| 0.2636 | 2.0 | 800 | 0.3491 | 0.8773 | 0.8766 | 0.8766 | 0.8773 |
| 0.1570 | 3.0 | 1200 | 0.4544 | 0.8623 | 0.8601 | 0.8604 | 0.8623 |
| 0.1329 | 4.0 | 1600 | 0.4998 | 0.8686 | 0.8699 | 0.8718 | 0.8686 |
| 0.0893 | 5.0 | 2000 | 0.5671 | 0.8648 | 0.8651 | 0.8659 | 0.8648 |
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
- mit
- Created
- Apr 11, 2026
- Updated
- Apr 11, 2026