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hybrid_lexical_hosting_64_15
ttqdunggg/hybrid_lexical_hosting_64_15
hybrid_lexical_hosting_64_15 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 27, 2025
- Updated
- Oct 28, 2025
- SHA
- c4f17b75
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
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: 0.7131
- Accuracy: 0.9076
- F1: 0.9077
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 |
|---|---|---|---|---|---|
| 12.4308 | 1.0 | 1032 | 3.0083 | 0.8616 | 0.8616 |
| 5.9766 | 2.0 | 2064 | 2.4421 | 0.8892 | 0.8891 |
| 4.296 | 3.0 | 3096 | 1.8710 | 0.8791 | 0.8791 |
| 3.0918 | 4.0 | 4128 | 1.5497 | 0.8855 | 0.8855 |
| 2.3284 | 5.0 | 5160 | 1.1863 | 0.8990 | 0.8990 |
| 1.8019 | 6.0 | 6192 | 1.0596 | 0.9016 | 0.9016 |
| 1.4113 | 7.0 | 7224 | 0.8676 | 0.8944 | 0.8943 |
| 1.1585 | 8.0 | 8256 | 0.7534 | 0.9079 | 0.9080 |
| 0.9332 | 9.0 | 9288 | 0.6953 | 0.9001 | 0.9002 |
| 0.8079 | 10.0 | 10320 | 0.7428 | 0.8973 | 0.8973 |
| 0.7033 | 11.0 | 11352 | 0.7131 | 0.9076 | 0.9077 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 3.0.1
- Tokenizers 0.22.1
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Oct 27, 2025
- Updated
- Oct 28, 2025