vit-base-patch16-finetuned-beans

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

• Loss: 0.2010
• Accuracy: 0.9662

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
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3493	1.0	13	0.2805	0.9420
0.2435	2.0	26	0.2215	0.9469
0.1721	3.0	39	0.1618	0.9758

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3