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vilt_finetuned_200 – AI Model by sdhawannnn | AlphaNeural AI | AlphaNeural AI

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sdhawannnn/
vilt_finetuned_200

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dandelin/vilt-b32-mlm

endpoints_compatible

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vilt_finetuned_200

This model is a fine-tuned version of dandelin/vilt-b32-mlm on the vqa dataset.

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: 4
eval_batch_size: 8
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: 20

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3