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PhoBert_Lexical_CITA_15k
VUONGNQIT/PhoBert_Lexical_CITA_15k
PhoBert_Lexical_CITA_15k is a machine learning model from VUONGNQIT. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- e355fb89
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_Lexical_CITA_15k
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: 0.6222
- Accuracy: 0.8103
- F1: 0.8077
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.499 | 1.0 | 375 | 0.4592 | 0.7943 | 0.7839 |
| 0.4168 | 2.0 | 750 | 0.4280 | 0.8037 | 0.8018 |
| 0.3676 | 3.0 | 1125 | 0.4332 | 0.813 | 0.8055 |
| 0.3227 | 4.0 | 1500 | 0.4558 | 0.8137 | 0.8062 |
| 0.2834 | 5.0 | 1875 | 0.5117 | 0.809 | 0.8097 |
| 0.2442 | 6.0 | 2250 | 0.5302 | 0.7963 | 0.7964 |
| 0.2154 | 7.0 | 2625 | 0.5514 | 0.8123 | 0.8095 |
| 0.1921 | 8.0 | 3000 | 0.5810 | 0.8117 | 0.8060 |
| 0.1734 | 9.0 | 3375 | 0.6032 | 0.8143 | 0.8107 |
| 0.1593 | 10.0 | 3750 | 0.6222 | 0.8103 | 0.8077 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025