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hybrid_lexical_hosting_64_15_v3_1
ttqdunggg/hybrid_lexical_hosting_64_15_v3_1
hybrid_lexical_hosting_64_15_v3_1 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 1, 2025
- Updated
- Nov 1, 2025
- SHA
- 07a5795b
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_lexical_hosting_64_15_v3_1
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: 0.2492
- Accuracy: 0.9092
- F1: 0.9092
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: 2445
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 2.0445 | 1.0 | 978 | 0.6813 | 0.8712 | 0.8713 |
| 1.0151 | 2.0 | 1956 | 0.4476 | 0.8883 | 0.8884 |
| 0.5735 | 3.0 | 2934 | 0.2314 | 0.8917 | 0.8916 |
| 0.3261 | 4.0 | 3912 | 0.1886 | 0.9020 | 0.9021 |
| 0.2236 | 5.0 | 4890 | 0.1868 | 0.9039 | 0.9039 |
| 0.1744 | 6.0 | 5868 | 0.1891 | 0.8990 | 0.8990 |
| 0.1472 | 7.0 | 6846 | 0.1872 | 0.9069 | 0.9070 |
| 0.1282 | 8.0 | 7824 | 0.2054 | 0.9105 | 0.9105 |
| 0.1129 | 9.0 | 8802 | 0.2360 | 0.9065 | 0.9065 |
| 0.1031 | 10.0 | 9780 | 0.2185 | 0.9071 | 0.9071 |
| 0.0944 | 11.0 | 10758 | 0.2492 | 0.9092 | 0.9092 |
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 1, 2025
- Updated
- Nov 1, 2025