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graphcorevqa – AI Model by VinayReddyPulyala | AlphaNeural AI

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VinayReddyPulyala/
graphcorevqa

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visual-question-answering

generated_from_trainer

dandelin/vilt-b32-mlm

endpoints_compatible

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graphcorevqa

This model is a fine-tuned version of dandelin/vilt-b32-mlm on the None 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3