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Revision_11_03_PhoBert_Lexical_Meta_Q1
RonTon05/Revision_11_03_PhoBert_Lexical_Meta_Q1
Revision_11_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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Public
Updated Mar 11, 2026
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At a glance
- Library
- transformers
- License
- agpl-3.0
- Access
- Public
- Created
- Mar 11, 2026
- Updated
- Mar 11, 2026
- SHA
- 94c2ed08
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_11_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: 0.2511
- Accuracy: 0.9401
- F1: 0.7425
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 | 0.4065 | 100 | 0.1935 | 0.9304 | 0.7305 |
| No log | 0.8130 | 200 | 0.1800 | 0.9417 | 0.7484 |
| 0.2067 | 1.2195 | 300 | 0.1854 | 0.9438 | 0.7418 |
| 0.2067 | 1.6260 | 400 | 0.1959 | 0.9407 | 0.7444 |
| 0.1358 | 2.0325 | 500 | 0.2029 | 0.9432 | 0.7439 |
| 0.1358 | 2.4390 | 600 | 0.2148 | 0.9429 | 0.7471 |
| 0.1358 | 2.8455 | 700 | 0.2343 | 0.9324 | 0.7347 |
| 0.0997 | 3.2520 | 800 | 0.2295 | 0.9426 | 0.7442 |
| 0.0997 | 3.6585 | 900 | 0.2468 | 0.9352 | 0.7356 |
| 0.0725 | 4.0650 | 1000 | 0.2442 | 0.9432 | 0.7495 |
| 0.0725 | 4.4715 | 1100 | 0.2491 | 0.9403 | 0.7423 |
| 0.0725 | 4.8780 | 1200 | 0.2511 | 0.9401 | 0.7425 |
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 11, 2026
- Updated
- Mar 11, 2026