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vit_awesome_model – AI Model by Shojint | AlphaNeural AI

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Shojint/
vit_awesome_model

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image-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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vit_awesome_model

This model is a fine-tuned version of stevhliu/my_awesome_food_model on the food101 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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 100

Framework versions

Transformers 4.30.2
Pytorch 2.0.0+cu118
Datasets 2.13.1
Tokenizers 0.13.3