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unlearn_nlvr2_vilt_salun_2_87
jialicheng/unlearn_nlvr2_vilt_salun_2_87
unlearn_nlvr2_vilt_salun_2_87 is a machine learning model from jialicheng. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- vilt
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- 690ea53e
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. -->
87
This model is a fine-tuned version of dandelin/vilt-b32-finetuned-nlvr2 on the nlvr2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1647
- Accuracy: 0.7421
- Dt Accuracy: 0.7421
- Df Accuracy: 0.4652
- Unlearn Overall Accuracy: 0.9193
- Unlearn Time: None
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 87
- optimizer: Use 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| 0.1908 | 1.0 | 2700 | 0.6917 | 0.8277 | 0.6690 | 0.6690 | None |
| 0.1391 | 2.0 | 5400 | 0.8736 | 0.6508 | 0.8053 | 0.8053 | None |
| 0.0929 | 3.0 | 8100 | 1.0155 | 0.5394 | 0.8765 | 0.8765 | None |
| 0.0701 | 4.0 | 10800 | 1.1373 | 0.4838 | 0.9090 | 0.9090 | None |
| 0.0515 | 5.0 | 13500 | 1.1647 | 0.4652 | 0.9193 | 0.9193 | None |
Framework versions
- Transformers 4.48.0
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- vilt
- License
- apache-2.0
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025