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3adapter_backbone_100k_v3
ttqdunggg/3adapter_backbone_100k_v3
3adapter_backbone_100k_v3 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 12, 2025
- Updated
- Nov 12, 2025
- SHA
- e75180f1
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. -->
3adapter_backbone_100k_v3
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:
- Acc Content: 0.9710
- F1 Content: 0.9664
- Loss: 0.0614
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Acc Content | F1 Content | Validation Loss |
|---|---|---|---|---|---|
| 0.0243 | 1.0 | 529 | 0.9693 | 0.9647 | 0.0202 |
| 0.0163 | 2.0 | 1058 | 0.9722 | 0.9677 | 0.0199 |
| 0.012 | 3.0 | 1587 | 0.9683 | 0.9637 | 0.0211 |
| 0.0097 | 4.0 | 2116 | 0.9710 | 0.9666 | 0.0279 |
| 0.0063 | 5.0 | 2645 | 0.9700 | 0.9653 | 0.0375 |
| 0.0052 | 6.0 | 3174 | 0.9696 | 0.9651 | 0.0413 |
| 0.0034 | 7.0 | 3703 | 0.9713 | 0.9668 | 0.0494 |
| 0.0026 | 8.0 | 4232 | 0.9706 | 0.9660 | 0.0540 |
| 0.0017 | 9.0 | 4761 | 0.9708 | 0.9662 | 0.0576 |
| 0.0012 | 10.0 | 5290 | 0.9710 | 0.9664 | 0.0614 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025