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3adapter_backbone_100k
ttqdunggg/3adapter_backbone_100k
3adapter_backbone_100k 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
- c86241c5
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
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: 0.9706
- F1 Content: 0.9659
- Loss: 0.0678
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 |
|---|---|---|---|---|---|
| 0.0275 | 1.0 | 529 | 0.9692 | 0.9641 | 0.0229 |
| 0.0184 | 2.0 | 1058 | 0.9708 | 0.9660 | 0.0219 |
| 0.0138 | 3.0 | 1587 | 0.9712 | 0.9667 | 0.0224 |
| 0.011 | 4.0 | 2116 | 0.9714 | 0.9670 | 0.0282 |
| 0.007 | 5.0 | 2645 | 0.9708 | 0.9661 | 0.0390 |
| 0.0055 | 6.0 | 3174 | 0.9689 | 0.9643 | 0.0456 |
| 0.0038 | 7.0 | 3703 | 0.9697 | 0.9649 | 0.0541 |
| 0.0025 | 8.0 | 4232 | 0.9702 | 0.9654 | 0.0583 |
| 0.0017 | 9.0 | 4761 | 0.9707 | 0.9661 | 0.0649 |
| 0.0012 | 10.0 | 5290 | 0.9706 | 0.9659 | 0.0678 |
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