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

Loss: 0.0323
Accuracy: 0.9915

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1367	1.0	8146	0.1257	0.9638
0.0952	2.0	16292	0.0908	0.9737
0.0694	3.0	24438	0.0702	0.9807
0.0536	4.0	32584	0.0578	0.9836
0.0389	5.0	40730	0.0567	0.9851
0.03	6.0	48876	0.0390	0.9892
0.0236	7.0	57022	0.0323	0.9915

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

malifiahm/plant_disease_classification

plant_disease_classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

malifiahm/
plant_disease_classification