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my_awesome_food_model

This model is a fine-tuned version of shi-labs/nat-mini-in1k-224 on the food101 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3536
  • Accuracy: 0.875

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: 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
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6602 0.99 62 0.5668 0.8
0.445 2.0 125 0.3911 0.867
0.4309 2.98 186 0.3536 0.875

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Dataset used to train aaa12963337/my_awesome_food_model

Evaluation results