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phobert_45k_boduoi_test10k_1
ttqdunggg/phobert_45k_boduoi_test10k_1
phobert_45k_boduoi_test10k_1 is a machine learning model from ttqdunggg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Mar 11, 2026
- Updated
- Mar 11, 2026
- SHA
- 4c2b6d8e
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_45k_boduoi_test10k_1
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: 0.6899
- Accuracy: 0.8327
- F1: 0.8668
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4394 | 1.0 | 1652 | 0.6285 | 0.7693 | 0.8254 |
| 0.3511 | 2.0 | 3304 | 0.4030 | 0.8501 | 0.8775 |
| 0.3 | 3.0 | 4956 | 0.3885 | 0.8574 | 0.8818 |
| 0.257 | 4.0 | 6608 | 0.4702 | 0.8331 | 0.8673 |
| 0.2143 | 5.0 | 8260 | 0.4552 | 0.8407 | 0.8722 |
| 0.178 | 6.0 | 9912 | 0.5378 | 0.8324 | 0.8669 |
| 0.1469 | 7.0 | 11564 | 0.5910 | 0.8380 | 0.8699 |
| 0.1265 | 8.0 | 13216 | 0.6372 | 0.8390 | 0.8706 |
| 0.1132 | 9.0 | 14868 | 0.6756 | 0.8348 | 0.8681 |
| 0.1069 | 10.0 | 16520 | 0.6899 | 0.8327 | 0.8668 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2
- Type
- roberta
- License
- agpl-3.0
- Created
- Mar 11, 2026
- Updated
- Mar 11, 2026