dinov2-base_rice-leaf-disease-augmented-v4_fft

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

Model description

More information needed

More information needed

More information needed

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: cosine_with_restarts
lr_scheduler_warmup_steps: 256
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3845	0.5	64	0.4749	0.8389
0.2617	1.0	128	0.4180	0.8557
0.1422	1.5	192	0.3623	0.8893
0.1562	2.0	256	0.3631	0.8826
0.125	2.5	320	0.3037	0.9262
0.098	3.0	384	0.3326	0.9195
0.07	3.5	448	0.3849	0.9094
0.045	4.0	512	0.2490	0.9195
0.0136	4.5	576	0.3664	0.9228
0.0021	5.0	640	0.3443	0.9362
0.0002	5.5	704	0.3226	0.9362
0.0002	6.0	768	0.3354	0.9329
0.0	6.5	832	0.3349	0.9329
0.0	7.0	896	0.3515	0.9329
0.0	7.5	960	0.3634	0.9329
0.0	8.0	1024	0.3543	0.9329
0.0	8.5	1088	0.3555	0.9329
0.0	9.0	1152	0.3531	0.9329
0.0	9.5	1216	0.3532	0.9329
0.0	10.0	1280	0.3536	0.9329
0.0	10.5	1344	0.3538	0.9329
0.0	11.0	1408	0.3529	0.9329
0.0	11.5	1472	0.3559	0.9329
0.0	12.0	1536	0.3563	0.9329
0.0	12.5	1600	0.3553	0.9329
0.0	13.0	1664	0.3575	0.9329
0.0	13.5	1728	0.3570	0.9329
0.0	14.0	1792	0.3577	0.9329
0.0	14.5	1856	0.3577	0.9329
0.0	15.0	1920	0.3577	0.9329