dinov2-base_rice-disease-02_111824

This model is a fine-tuned version of facebook/dinov2-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1191
• Accuracy: 0.9654

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: 0.0003
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• 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: 15

Training results

Training Loss	Epoch	Step	Accuracy	Validation Loss
1.4008	1.0	212	0.8303	0.5579
0.331	2.0	424	0.9128	0.2795
0.192	3.0	636	0.9368	0.2083
0.1462	4.0	848	0.9488	0.1819
0.1224	5.0	1060	0.9534	0.1633
0.1067	6.0	1272	0.9521	0.1567
0.0954	7.0	1484	0.9574	0.1431
0.0879	8.0	1696	0.9594	0.1348
0.0809	9.0	1908	0.9594	0.1325
0.0759	10.0	2120	0.9634	0.1273
0.0721	11.0	2332	0.1264	0.9607
0.0688	12.0	2544	0.1212	0.9621
0.0662	13.0	2756	0.1199	0.9654
0.0645	14.0	2968	0.1191	0.9601
0.0631	15.0	3180	0.1191	0.9654

Framework versions

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