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unlearn-cl_nlvr2_vilt_random_label_8_42
jialicheng/unlearn-cl_nlvr2_vilt_random_label_8_42
unlearn-cl_nlvr2_vilt_random_label_8_42 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. 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
- License
- apache-2.0
- Model type
- vilt
- Access
- Public
- Created
- Oct 28, 2025
- Updated
- Nov 7, 2025
- SHA
- c05c6113
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. -->
nlvr2_42
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: 0.5767
- Accuracy: 0.7446
- Test Accuracy: 0.7446
- Df Accuracy: 0.5105
- Unlearn Overall Accuracy: 0.6171
- Unlearn Time: 5137.6486
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
|---|---|---|---|---|---|---|---|
| 0.4017 | 1.0 | 2700 | 0.5094 | 0.6793 | 0.5315 | 0.5315 | -1 |
| 0.2505 | 2.0 | 5400 | 0.5757 | 0.5105 | 0.6171 | 0.6171 | -1 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Type
- vilt
- License
- apache-2.0
- Created
- Oct 28, 2025
- Updated
- Nov 7, 2025