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unlearn_nlvr2_vilt_bad_teaching_2_42
jialicheng/unlearn_nlvr2_vilt_bad_teaching_2_42
unlearn_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. 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
- 26a8193f
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. -->
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: 0.5170
- Accuracy: 0.7461
- Dt Accuracy: 0.7461
- Df Accuracy: 0.8677
- Unlearn Overall Accuracy: 0.6314
- 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: 42
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 108 | 0.5538 | 0.8503 | 0.6440 | 0.6440 | None |
| No log | 2.0 | 216 | 0.5326 | 0.8730 | 0.6252 | 0.6252 | None |
| No log | 3.0 | 324 | 0.5210 | 0.8863 | 0.6140 | 0.6140 | None |
| No log | 4.0 | 432 | 0.5180 | 0.8735 | 0.6260 | 0.6260 | None |
| 0.4101 | 5.0 | 540 | 0.5170 | 0.8677 | 0.6314 | 0.6314 | 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