Sa3ed99's picture
End of training
a88d37a verified
metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: my_awesome_food_model
    results: []

my_awesome_food_model

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

  • Loss: 0.4788
  • Accuracy: 0.918

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: 7

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.2354 0.992 62 1.2067 0.913
0.8106 2.0 125 0.8617 0.917
0.6279 2.992 187 0.6817 0.915
0.5143 4.0 250 0.5720 0.92
0.4102 4.992 312 0.4917 0.935
0.3593 6.0 375 0.4655 0.928
0.3556 6.944 434 0.4788 0.918

Framework versions

  • Transformers 4.40.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1