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unlearn-cl_nlvr2_vilt_random_label_6_42
jialicheng/unlearn-cl_nlvr2_vilt_random_label_6_42
unlearn-cl_nlvr2_vilt_random_label_6_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
- 453af439
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: 0.6115
- Accuracy: 0.7471
- Test Accuracy: 0.7471
- Df Accuracy: 0.4938
- Unlearn Overall Accuracy: 0.6266
- Unlearn Time: 5056.2077
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 |
|---|---|---|---|---|---|---|---|
| 0.3648 | 1.0 | 2700 | 0.5199 | 0.6687 | 0.5381 | 0.5381 | -1 |
| 0.2127 | 2.0 | 5400 | 0.6105 | 0.4938 | 0.6266 | 0.6266 | -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