nateraw/food

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the nateraw/food101 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4501
  • Accuracy: 0.8913

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: 0.0002
  • train_batch_size: 128
  • eval_batch_size: 128
  • seed: 1337
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.8271 1.0 592 0.6070 0.8562
0.4376 2.0 1184 0.4947 0.8691
0.2089 3.0 1776 0.4876 0.8747
0.0882 4.0 2368 0.4639 0.8857
0.0452 5.0 2960 0.4501 0.8913

Framework versions

  • Transformers 4.9.0.dev0
  • Pytorch 1.9.0+cu102
  • Datasets 1.9.1.dev0
  • Tokenizers 0.10.3
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