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hybrid_lexical_hosting_64_10
ttqdunggg/hybrid_lexical_hosting_64_10
hybrid_lexical_hosting_64_10 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 27, 2025
- SHA
- 66a86078
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_10
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: 0.2450
- Accuracy: 0.9073
- F1: 0.9072
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 |
|---|---|---|---|---|---|
| 0.3018 | 1.0 | 1032 | 0.2590 | 0.8544 | 0.8544 |
| 0.2416 | 2.0 | 2064 | 0.2243 | 0.8921 | 0.8921 |
| 0.2083 | 3.0 | 3096 | 0.2031 | 0.9073 | 0.9074 |
| 0.1784 | 4.0 | 4128 | 0.2023 | 0.9059 | 0.9057 |
| 0.1553 | 5.0 | 5160 | 0.1998 | 0.9111 | 0.9111 |
| 0.1381 | 6.0 | 6192 | 0.1975 | 0.9099 | 0.9100 |
| 0.1263 | 7.0 | 7224 | 0.2400 | 0.9027 | 0.9028 |
| 0.1168 | 8.0 | 8256 | 0.2450 | 0.9073 | 0.9072 |
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 27, 2025
- Updated
- Oct 27, 2025