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Revision_09_03_PhoBert_Lexical_Meta_Q1
RonTon05/Revision_09_03_PhoBert_Lexical_Meta_Q1
Revision_09_03_PhoBert_Lexical_Meta_Q1 is a machine learning model from RonTon05. 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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Updated Mar 9, 2026
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At a glance
- Library
- transformers
- License
- agpl-3.0
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026
- SHA
- ffaf6444
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. -->
Revision_09_03_PhoBert_Lexical_Meta_Q1
This model is a fine-tuned version of phunganhsang/PhoBert_Lexical_Dataset45K on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2606
- Accuracy: 0.9417
- F1: 0.7429
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: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|
| No log | 0.3497 | 100 | 0.1699 | 0.9502 | 0.7404 |
| No log | 0.6993 | 200 | 0.1909 | 0.9419 | 0.7413 |
| 0.1831 | 1.0490 | 300 | 0.1950 | 0.9412 | 0.7441 |
| 0.1831 | 1.3986 | 400 | 0.1977 | 0.9497 | 0.7220 |
| 0.1831 | 1.7483 | 500 | 0.2146 | 0.9367 | 0.7375 |
| 0.1161 | 2.0979 | 600 | 0.2317 | 0.9394 | 0.7431 |
| 0.1161 | 2.4476 | 700 | 0.2230 | 0.9428 | 0.7411 |
| 0.1161 | 2.7972 | 800 | 0.2463 | 0.9373 | 0.7398 |
| 0.0874 | 3.1469 | 900 | 0.2355 | 0.9455 | 0.7454 |
| 0.0874 | 3.4965 | 1000 | 0.2485 | 0.9404 | 0.7432 |
| 0.0874 | 3.8462 | 1100 | 0.2502 | 0.9411 | 0.7393 |
| 0.0624 | 4.1958 | 1200 | 0.2641 | 0.9386 | 0.7411 |
| 0.0624 | 4.5455 | 1300 | 0.2615 | 0.9418 | 0.7433 |
| 0.0624 | 4.8951 | 1400 | 0.2606 | 0.9417 | 0.7429 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- agpl-3.0
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026