deit-base-patch16-224_rice-disease-02_112024

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

• Loss: 0.3063
• Accuracy: 0.9148

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
1.8862	1.0	212	0.7092	1.2580
0.8631	2.0	424	0.8190	0.6676
0.5449	3.0	636	0.8523	0.5124
0.4396	4.0	848	0.8736	0.4459
0.3852	5.0	1060	0.8816	0.4026
0.3488	6.0	1272	0.8902	0.3763
0.324	7.0	1484	0.8942	0.3588
0.3072	8.0	1696	0.9062	0.3420
0.2928	9.0	1908	0.9055	0.3330
0.2826	10.0	2120	0.9082	0.3231
0.2732	11.0	2332	0.9115	0.3172
0.2669	12.0	2544	0.3119	0.9128
0.2619	13.0	2756	0.3086	0.9155
0.258	14.0	2968	0.3068	0.9155
0.2566	15.0	3180	0.3063	0.9148

Framework versions

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