Downloads · 30 days
4
18% of all-time downloads
3adapter_backbone_100k_v2
ttqdunggg/3adapter_backbone_100k_v2
3adapter_backbone_100k_v2 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. --
All-time downloads
22
Public
Parameters
140M
559 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors559 MB · 100%
At a glance
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025
- SHA
- 9780b3f7
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_v2
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: 0.9683
- F1 Content: 0.9637
- Loss: 0.0214
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 |
|---|---|---|---|---|---|
| 0.0038 | 1.0 | 529 | 0.9013 | 0.8931 | 0.0031 |
| 0.0024 | 2.0 | 1058 | 0.9222 | 0.9147 | 0.0034 |
| 0.0018 | 3.0 | 1587 | 0.9360 | 0.9290 | 0.0052 |
| 0.0014 | 4.0 | 2116 | 0.9451 | 0.9387 | 0.0064 |
| 0.001 | 5.0 | 2645 | 0.9496 | 0.9435 | 0.0071 |
| 0.001 | 6.0 | 3174 | 0.9593 | 0.9539 | 0.0121 |
| 0.0007 | 7.0 | 3703 | 0.9647 | 0.9598 | 0.0157 |
| 0.0006 | 8.0 | 4232 | 0.9603 | 0.9550 | 0.0135 |
| 0.0005 | 9.0 | 4761 | 0.9659 | 0.9610 | 0.0185 |
| 0.0004 | 10.0 | 5290 | 0.9683 | 0.9637 | 0.0214 |
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