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phobert-base-v2-vinli
lionellongto2015/phobert-base-v2-vinli
phobert-base-v2-vinli is a text classification model from lionellongto2015. 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. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 18, 2024
- Updated
- Jul 28, 2025
- SHA
- 893469f0
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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-v2-vinli
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4585
- Accuracy: 0.7226
- F1: 0.7224
- Precision: 0.7226
- Recall: 0.7226
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7633 | 0.9515 | 1000 | 0.7920 | 0.6440 | 0.6434 | 0.6504 | 0.6440 |
| 0.6055 | 1.9029 | 2000 | 0.7411 | 0.6943 | 0.6935 | 0.6939 | 0.6943 |
| 0.471 | 2.8544 | 3000 | 0.8055 | 0.7049 | 0.7033 | 0.7035 | 0.7049 |
| 0.3809 | 3.8059 | 4000 | 0.9021 | 0.7045 | 0.7014 | 0.7064 | 0.7045 |
| 0.3057 | 4.7574 | 5000 | 0.9746 | 0.7045 | 0.7055 | 0.7087 | 0.7045 |
| 0.2228 | 5.7088 | 6000 | 1.0864 | 0.7173 | 0.7160 | 0.7172 | 0.7173 |
| 0.1727 | 6.6603 | 7000 | 1.1915 | 0.7217 | 0.7204 | 0.7213 | 0.7217 |
| 0.1459 | 7.6118 | 8000 | 1.3036 | 0.7213 | 0.7206 | 0.7218 | 0.7213 |
| 0.1395 | 8.5633 | 9000 | 1.3762 | 0.7195 | 0.7197 | 0.7202 | 0.7195 |
| 0.0993 | 9.5147 | 10000 | 1.4585 | 0.7226 | 0.7224 | 0.7226 | 0.7226 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jul 18, 2024
- Updated
- Jul 28, 2025