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cifar100-resnet-50 – AI Model by jialicheng | AlphaNeural AI

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jialicheng/
cifar100-resnet-50

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image-classification

generated_from_trainer

microsoft/resnet-50

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cifar100

This model is a fine-tuned version of microsoft/resnet-50 on the cifar100 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: 1e-05
train_batch_size: 128
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 300

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2