Downloads · 30 days
24
9% of all-time downloads
phobert-base-vinli-h
dtran612/phobert-base-vinli-h
phobert-base-vinli-h is a text classification model from dtran612. 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. --
All-time downloads
270
Public
Parameters
135M
5.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors540 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 6, 2026
- SHA
- b6db4558
Try a prompt
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-base-vinli-h
This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5572
- Accuracy: 0.7743
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1065 | 1.0 | 142 | 1.0795 | 0.4589 |
| 1.0592 | 2.0 | 284 | 1.0192 | 0.5300 |
| 0.9851 | 3.0 | 426 | 0.9305 | 0.5875 |
| 0.8985 | 4.0 | 568 | 0.8471 | 0.6338 |
| 0.9340 | 5.0 | 710 | 0.7708 | 0.6656 |
| 0.8328 | 6.0 | 852 | 0.7000 | 0.6979 |
| 0.8077 | 7.0 | 994 | 0.6336 | 0.7381 |
| 0.6803 | 8.0 | 1136 | 0.5913 | 0.7518 |
| 0.6537 | 9.0 | 1278 | 0.5658 | 0.7699 |
| 0.6619 | 10.0 | 1420 | 0.5572 | 0.7743 |
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
- May 2, 2026
- Updated
- May 6, 2026