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

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

vit-base-patch16-224-in21k-finetuned-lora-food101 is a machine learning model from mbodo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. 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

Library: peft
License: apache-2.0
Access: Public
Created: Sep 22, 2023
Updated: Sep 22, 2023
SHA: 2586aa0a

Base models

google/vit-base-patch16-224-in21k

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: 0.1158
Accuracy: 0.962

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	9	0.1536	0.95
0.2548	2.0	18	0.1263	0.96
0.1404	3.0	27	0.1158	0.962
0.1214	4.0	36	0.1232	0.96
0.1238	5.0	45	0.1177	0.96

Framework versions

PEFT 0.4.0
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Library: peft
License: apache-2.0
Created: Sep 22, 2023
Updated: Sep 22, 2023