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hybrid_lexical_hosting_64_15_v4
ttqdunggg/hybrid_lexical_hosting_64_15_v4
hybrid_lexical_hosting_64_15_v4 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 29, 2025
- Updated
- Oct 29, 2025
- SHA
- be30a06a
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_v4
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: 0.2460
- Accuracy: 0.9082
- F1: 0.9082
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: 2580
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3025 | 1.0 | 1032 | 0.2601 | 0.8524 | 0.8516 |
| 0.244 | 2.0 | 2064 | 0.2263 | 0.8835 | 0.8832 |
| 0.2084 | 3.0 | 3096 | 0.2038 | 0.9073 | 0.9074 |
| 0.1796 | 4.0 | 4128 | 0.1875 | 0.9140 | 0.9139 |
| 0.157 | 5.0 | 5160 | 0.1892 | 0.9128 | 0.9128 |
| 0.1406 | 6.0 | 6192 | 0.1847 | 0.9142 | 0.9143 |
| 0.1276 | 7.0 | 7224 | 0.2036 | 0.9131 | 0.9131 |
| 0.1181 | 8.0 | 8256 | 0.2171 | 0.9105 | 0.9105 |
| 0.1117 | 9.0 | 9288 | 0.2460 | 0.9082 | 0.9082 |
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 29, 2025
- Updated
- Oct 29, 2025