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

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