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

a168537113/vit-base-patch16-224-in21k-finetuned-lora-food101

vit-base-patch16-224-in21k-finetuned-lora-food101 is a machine learning model from a168537113. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

Downloads · 30 days

Access

Public

Updated Dec 25, 2023

Repo size

13.5 MB

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Public

Hugging Face

Repo makeup

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At a glance

Access: Public
Created: Dec 25, 2023
Updated: Dec 25, 2023
SHA: 6f7a4cac

Datasets

food101

Model card

From the Hugging Face model README

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

Created: Dec 25, 2023
Updated: Dec 25, 2023