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unlearn-cl_nlvr2_vilt_bad_teaching_2_42
jialicheng/unlearn-cl_nlvr2_vilt_bad_teaching_2_42
unlearn-cl_nlvr2_vilt_bad_teaching_2_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
- 04e0afc3
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: 74.8675
- Accuracy: 0.7382
- Test Accuracy: 0.7382
- Df Accuracy: 0.6676
- Unlearn Overall Accuracy: 0.5353
- Unlearn Time: 9316.6441
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 |
|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 5291 | 53.7702 | 0.6885 | 0.5221 | 0.5221 | -1 |
| 0.0 | 2.0 | 10582 | 74.8675 | 0.6676 | 0.5353 | 0.5353 | -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