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

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

vit-base-patch16-224-in21k-finetuned-lora-food101 is a image classification model from RubyZhi. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Mar 26, 2024
Updated: Mar 26, 2024
SHA: cc37faaf

Datasets

food101

Model card

From the Hugging Face model README

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

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset. It achieves the following results on the evaluation set:

Loss: 0.1408
Accuracy: 0.964

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	0.5739	0.874
2.1968	2.0	18	0.2064	0.944
0.3323	3.0	27	0.1521	0.96
0.2087	4.0	36	0.1408	0.964
0.1678	5.0	45	0.1352	0.962

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.12.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Mar 26, 2024
Updated: Mar 26, 2024