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results
quynh1421/results
results is a text classification model from quynh1421. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Apr 28, 2025
- Updated
- Apr 28, 2025
- SHA
- 586429d8
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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 vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2846
- Accuracy: 0.8930
- F1: 0.8925
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5435 | 1.0 | 125 | 0.3400 | 0.8588 | 0.8582 |
| 0.3945 | 2.0 | 250 | 0.2906 | 0.8824 | 0.8822 |
| 0.3423 | 3.0 | 375 | 0.2776 | 0.8945 | 0.8941 |
| 0.3195 | 4.0 | 500 | 0.2832 | 0.8925 | 0.8920 |
| 0.2966 | 5.0 | 625 | 0.2846 | 0.8930 | 0.8925 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Apr 28, 2025
- Updated
- Apr 28, 2025