vit-base-patch16-224_rice-leaf-disease-augmented_tl_020125

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: 0.6522
• Accuracy: 0.7885

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: 0.0001
• 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
2.023	1.0	250	0.406	1.7331
1.4339	2.0	500	0.638	1.1983
1.0891	3.0	750	0.6985	0.9888
0.9387	4.0	1000	0.728	0.8833
0.8519	5.0	1250	0.7455	0.8170
0.7933	6.0	1500	0.7575	0.7714
0.7515	7.0	1750	0.7635	0.7390
0.7208	8.0	2000	0.7695	0.7137
0.6967	9.0	2250	0.774	0.6958
0.6787	10.0	2500	0.7795	0.6809
0.6644	11.0	2750	0.783	0.6697
0.6539	12.0	3000	0.7825	0.6619
0.6463	13.0	3250	0.7875	0.6563
0.6411	14.0	3500	0.789	0.6533
0.6385	15.0	3750	0.7885	0.6522

Framework versions

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