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cifar10_model – AI Model by abhinavkk | AlphaNeural AI

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abhinavkk/
cifar10_model

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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cifar10_model

This model is a fine-tuned version of google/vit-base-patch16-224-in21k 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: 7e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 300

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.8.0
Tokenizers 0.13.2