my_awesome_food_model

ynwag9/my_awesome_food_model

my_awesome_food_model is a image classification model from ynwag9. 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: swin
Access: Public
Created: Feb 21, 2023
Updated: Feb 21, 2023
SHA: d3339135

Model card

From the Hugging Face model README

my_awesome_food_model

This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0744
Accuracy: 0.976

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
0.4905	1.0	212	0.2611	0.94
0.2316	2.0	424	0.1014	0.97
0.092	3.0	636	0.0744	0.976

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: swin
License: apache-2.0
Created: Feb 21, 2023
Updated: Feb 21, 2023