Beans_disease_classficationv4

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: 0.0419
• Accuracy: 0.9925

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: 3e-05
• train_batch_size: 64
• eval_batch_size: 32
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0023	1.0	17	0.1371	0.9774
0.002	2.0	34	0.0993	0.9774
0.0234	3.0	51	0.0419	0.9925

Framework versions

• Transformers 4.28.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.13.3