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

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

• Loss: 0.0274
• Accuracy: 0.994

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
1.541	1.0	250	0.8105	0.5771
0.3645	2.0	500	0.9315	0.1973
0.1129	3.0	750	0.9805	0.0676
0.0362	4.0	1000	0.9775	0.0760
0.0182	5.0	1250	0.989	0.0396
0.0097	6.0	1500	0.992	0.0349
0.006	7.0	1750	0.99	0.0423
0.0057	8.0	2000	0.9875	0.0488
0.0038	9.0	2250	0.991	0.0333
0.0048	10.0	2500	0.991	0.0316
0.0033	11.0	2750	0.993	0.0300
0.0034	12.0	3000	0.991	0.0375
0.0022	13.0	3250	0.9935	0.0304
0.0018	14.0	3500	0.994	0.0282
0.0029	15.0	3750	0.994	0.0274

Framework versions

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