Shresthadev403/food-image-classification

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food-image-classification

This model was trained from scratch on the food101 dataset It achieves the following results on the evaluation set:

• —eval_loss: 0.4645
• —eval_accuracy: 0.8831
• —eval_runtime: 156.6057
• —evalsamplesper_second: 96.74
• —evalstepsper_second: 6.047
• —epoch: 54.91
• —step: 52000

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 500

Framework versions

• —Transformers 4.37.0
• —Pytorch 2.1.2
• —Datasets 2.1.0
• —Tokenizers 0.15.1