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hybrid_feats_domain
ttqdunggg/hybrid_feats_domain
hybrid_feats_domain is a machine learning model from ttqdunggg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 4, 2025
- Updated
- Nov 4, 2025
- SHA
- 1c82e1a2
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. -->
hybrid_feats_domain
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: 0.2206
- Accuracy: 0.8986
- F1: 0.8900
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: linear
- lr_scheduler_warmup_steps: 1725
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2545 | 1.0 | 690 | 0.2004 | 0.8584 | 0.8478 |
| 0.1799 | 2.0 | 1380 | 0.1570 | 0.8917 | 0.8830 |
| 0.1473 | 3.0 | 2070 | 0.1466 | 0.8983 | 0.8896 |
| 0.1293 | 4.0 | 2760 | 0.1502 | 0.8954 | 0.8883 |
| 0.1158 | 5.0 | 3450 | 0.1525 | 0.9027 | 0.8931 |
| 0.1047 | 6.0 | 4140 | 0.1650 | 0.9017 | 0.8938 |
| 0.0939 | 7.0 | 4830 | 0.1831 | 0.8999 | 0.8898 |
| 0.086 | 8.0 | 5520 | 0.1960 | 0.9000 | 0.8911 |
| 0.0798 | 9.0 | 6210 | 0.2206 | 0.8986 | 0.8900 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Nov 4, 2025
- Updated
- Nov 4, 2025