vit-base-patch16-224_rice-leaf-disease-augmented_fft_012825

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

• Loss: 0.0311
• Accuracy: 0.9905

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Use OptimizerNames.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: 15

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
1.723	1.0	250	0.6955	1.0661
0.586	2.0	500	0.924	0.2848
0.14	3.0	750	0.9755	0.0896
0.0253	4.0	1000	0.984	0.0505
0.0055	5.0	1250	0.9865	0.0376
0.0028	6.0	1500	0.9875	0.0368
0.0019	7.0	1750	0.9875	0.0401
0.0011	8.0	2000	0.988	0.0322
0.0007	9.0	2250	0.991	0.0315
0.0009	10.0	2500	0.99	0.0304
0.0006	11.0	2750	0.9895	0.0316
0.0006	12.0	3000	0.99	0.0324
0.0005	13.0	3250	0.9905	0.0317
0.0005	14.0	3500	0.9905	0.0313
0.0004	15.0	3750	0.9905	0.0311

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0