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: 3.8640
• Accuracy: 0.573

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: 512
• eval_batch_size: 512
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 2048
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
No log	1.0	2	0.036	4.5210
No log	2.0	4	0.278	4.4151
No log	3.0	6	0.437	4.3629
No log	4.0	8	4.2960	0.547
4.3122	5.0	10	4.1697	0.589
4.3122	6.0	12	4.0601	0.568
4.3122	7.0	14	3.9770	0.521
4.3122	8.0	16	3.9177	0.539
4.3122	9.0	18	3.8843	0.545
3.9792	10.0	20	3.8640	0.573

Framework versions

• Transformers 4.37.0
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1