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27NEW_phobert-base
Inori612/27NEW_phobert-base
27NEW_phobert-base is a text classification model from Inori612. 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
- roberta
- Access
- Public
- Created
- Apr 27, 2026
- Updated
- Apr 27, 2026
- SHA
- acd6370b
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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. -->
27NEW_phobert-base
This model is a fine-tuned version of vinai/phobert-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9903
- Accuracy: 0.6259
- F1: 0.6241
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: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.8271 | 1.0 | 822 | 1.0060 | 0.5392 | 0.5380 |
| 1.6366 | 2.0 | 1644 | 0.9521 | 0.6037 | 0.6005 |
| 1.4063 | 3.0 | 2466 | 0.9586 | 0.6240 | 0.6238 |
| 1.2885 | 4.0 | 3288 | 0.9773 | 0.6295 | 0.6290 |
| 1.1691 | 5.0 | 4110 | 1.0488 | 0.6209 | 0.6200 |
| 1.0733 | 6.0 | 4932 | 1.0842 | 0.6258 | 0.6256 |
| 0.9860 | 7.0 | 5754 | 1.1294 | 0.6264 | 0.6254 |
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
- Apr 27, 2026
- Updated
- Apr 27, 2026