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hybrid_lexical_hosting
ttqdunggg/hybrid_lexical_hosting
hybrid_lexical_hosting 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
- Oct 23, 2025
- Updated
- Oct 23, 2025
- SHA
- 2d814a30
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
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: 0.0925
- Accuracy: 0.9761
- F1: 0.9758
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: 128
- eval_batch_size: 128
- 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: 1360
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2496 | 1.0 | 543 | 0.2260 | 0.8401 | 0.8693 |
| 0.204 | 2.0 | 1086 | 0.1994 | 0.8840 | 0.8993 |
| 0.1757 | 3.0 | 1629 | 0.1651 | 0.9162 | 0.9220 |
| 0.1528 | 4.0 | 2172 | 0.1579 | 0.9177 | 0.9255 |
| 0.1374 | 5.0 | 2715 | 0.1347 | 0.9423 | 0.9450 |
| 0.1245 | 6.0 | 3258 | 0.1143 | 0.9618 | 0.9610 |
| 0.1144 | 7.0 | 3801 | 0.1043 | 0.9692 | 0.9686 |
| 0.1058 | 8.0 | 4344 | 0.0957 | 0.9741 | 0.9734 |
| 0.0993 | 9.0 | 4887 | 0.0932 | 0.9761 | 0.9761 |
| 0.0948 | 10.0 | 5430 | 0.0925 | 0.9761 | 0.9758 |
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
- Oct 23, 2025
- Updated
- Oct 23, 2025