vit-base-patch16-224-in21k-finetuned-lora-food101

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

• Loss: 0.1086
• Accuracy: 0.966

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: 0.005
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	9	0.6070	0.878
2.2106	2.0	18	0.1910	0.948
0.354	3.0	27	0.1266	0.966
0.2142	4.0	36	0.1141	0.968
0.1788	5.0	45	0.1086	0.966

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1