lixg_food_model001

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

• Loss: 77893286362087424.0000
• Accuracy: 0.6672

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
81023272984825040.0000	1.0	87	77893286362087424.0000	0.6010
68230118470215272.0000	2.0	174	77893286362087424.0000	0.6171
66808662965878784.0000	3.0	261	77893286362087424.0000	0.6672

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cpu
• Datasets 2.16.1
• Tokenizers 0.15.0