my_awesome_food_model

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

• Loss: 0.2459
• Accuracy: 0.9186

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
0.3913	1.0	298	0.3844	0.8782
0.2563	2.0	597	0.3126	0.9079
0.2216	2.99	894	0.2459	0.9186

Framework versions

• Transformers 4.39.0
• Pytorch 2.4.0+cpu
• Datasets 2.20.0
• Tokenizers 0.15.2