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unlearn-so_nlvr2_vilt_neggrad_4_87 – AI Model by jialicheng | AlphaNeural AI
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jialicheng
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unlearn-so_nlvr2_vilt_neggrad_4_87
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transformers
safetensors
vilt
image-text-classification
generated_from_trainer
dandelin/vilt-b32-finetuned-nlvr2
finetune
apache-2.0
endpoints_compatible
us
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Model card
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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: -10.4579
Accuracy: 0.4914
Dt Accuracy: 0.4914
Df Accuracy: 0.5
Unlearn Overall Accuracy: 0.7761
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: 87
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Overall Accuracy
Unlearn Overall Accuracy
Time
No log
1.0
108
-9.2229
0.4997
0.7762
0.7762
None
No log
2.0
216
-10.4579
0.5
0.7761
0.7761
None
Framework versions
Transformers 4.48.0
Pytorch 2.3.0+cu121
Datasets 2.18.0
Tokenizers 0.21.0
