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

Loss: 0.4007
Accuracy: 0.8640

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: 200
eval_batch_size: 200
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 800
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
1.0134	0.99	24	0.5941	0.8042
0.4785	1.98	48	0.4203	0.8570
0.3874	2.97	72	0.4007	0.8640

Framework versions

Transformers 4.37.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1

louislu9911/vit-large-patch16-224-finetuned-cassava-leaf-disease

vit-large-patch16-224-finetuned-cassava-leaf-disease

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

louislu9911/
vit-large-patch16-224-finetuned-cassava-leaf-disease