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unlearn_nlvr2_vilt_random_label_2_42
jialicheng/unlearn_nlvr2_vilt_random_label_2_42
unlearn_nlvr2_vilt_random_label_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
- 63f1e50e
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: 1.2230
- Accuracy: 0.7409
- Dt Accuracy: 0.7409
- Df Accuracy: 0.4258
- Unlearn Overall Accuracy: 0.9404
- 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 |
|---|---|---|---|---|---|---|---|
| 0.2045 | 1.0 | 2700 | 0.6848 | 0.8057 | 0.6871 | 0.6871 | None |
| 0.1425 | 2.0 | 5400 | 0.8502 | 0.6265 | 0.8218 | 0.8218 | None |
| 0.0897 | 3.0 | 8100 | 1.0263 | 0.5174 | 0.8904 | 0.8904 | None |
| 0.0609 | 4.0 | 10800 | 1.1776 | 0.4490 | 0.9279 | 0.9279 | None |
| 0.0436 | 5.0 | 13500 | 1.2230 | 0.4258 | 0.9404 | 0.9404 | 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