tomato-disease-detection

surprisedPikachu007/tomato-disease-detection

tomato-disease-detection is a image classification model from surprisedPikachu007. 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 9, 2023
Updated: Jan 5, 2024
SHA: f29a307c

Base models

google/vit-base-patch16-224-in21k

Datasets

imagefolder

Spaces

Model card

From the Hugging Face model README

tomato-disease-detection

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

Loss: 0.0394
Accuracy: 0.9918

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
0.1363	1.0	941	0.1109	0.9774
0.0657	2.0	1882	0.0666	0.9841
0.0605	3.0	2823	0.0394	0.9918

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.10.1
Tokenizers 0.13.2

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Mar 9, 2023
Updated: Jan 5, 2024