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results
hoanganhvutk31/results
results is a text classification model from hoanganhvutk31. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025
- SHA
- 309053d9
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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. -->
results
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5549
- Accuracy: 0.8676
- F1: 0.9078
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5954 | 0.2174 | 50 | 0.5836 | 0.7108 | 0.8179 |
| 0.5157 | 0.4348 | 100 | 0.5767 | 0.7206 | 0.8267 |
| 0.5151 | 0.6522 | 150 | 0.4903 | 0.7721 | 0.8478 |
| 0.4337 | 0.8696 | 200 | 0.4291 | 0.8260 | 0.8834 |
| 0.3009 | 1.0870 | 250 | 0.3552 | 0.8554 | 0.8977 |
| 0.2473 | 1.3043 | 300 | 0.4097 | 0.8358 | 0.8870 |
| 0.2674 | 1.5217 | 350 | 0.3874 | 0.8480 | 0.8889 |
| 0.1746 | 1.7391 | 400 | 0.4198 | 0.8725 | 0.9116 |
| 0.2897 | 1.9565 | 450 | 0.3947 | 0.8505 | 0.8901 |
| 0.0668 | 2.1739 | 500 | 0.5122 | 0.8627 | 0.9044 |
| 0.1238 | 2.3913 | 550 | 0.5717 | 0.8676 | 0.9082 |
| 0.0881 | 2.6087 | 600 | 0.5495 | 0.8627 | 0.9024 |
| 0.1845 | 2.8261 | 650 | 0.5549 | 0.8676 | 0.9078 |
Framework versions
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 28, 2025
- Updated
- Aug 28, 2025