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unlearn-cl_nlvr2_vilt_random_label_4_42 – AI Model by jialicheng | AlphaNeural AI
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jialicheng
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unlearn-cl_nlvr2_vilt_random_label_4_42
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safetensors
vilt
image-text-classification
generated_from_trainer
dandelin/vilt-b32-finetuned-nlvr2
finetune
apache-2.0
us
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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: 0.6527
Accuracy: 0.7436
Test Accuracy: 0.7436
Df Accuracy: 0.4710
Unlearn Overall Accuracy: 0.6363
Unlearn Time: 4966.8592
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
0.3223
1.0
2700
0.5444
0.6514
0.5433
0.5433
-1
0.1702
2.0
5400
0.6516
0.4710
0.6363
0.6363
-1
Framework versions
Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2
