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git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8 – AI Model by yoon6173 | AlphaNeural AI
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git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8
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transformers
tensorboard
safetensors
vilt
visual-question-answering
generated_from_trainer
microsoft/git-base-vqav2
finetune
mit
endpoints_compatible
us
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git-base-vqa2_finetuning_ok-vqa_epoch-30_batch-8
This model is a fine-tuned version of
microsoft/git-base-vqav2
on an unknown 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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
