my_awesome_food_model

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

• eval_loss: 0.2752
• eval_accuracy: 0.923
• eval_runtime: 18.6571
• eval_samples_per_second: 53.599
• eval_steps_per_second: 3.377
• epoch: 29.71
• step: 1857

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: 100

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3