dinov2-base_rice-leaf-disease-augmented-v4_tl

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

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The following hyperparameters were used during training:

learning_rate: 0.0003
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	Accuracy	Validation Loss
2.1181	0.5	64	0.3658	1.7085
1.3815	1.0	128	0.7047	1.0554
0.8981	1.5	192	0.7785	0.7380
0.6515	2.0	256	0.7987	0.5983
0.5233	2.5	320	0.8255	0.5212
0.4535	3.0	384	0.8356	0.4803
0.3959	3.5	448	0.8557	0.4428
0.3614	4.0	512	0.8725	0.4040
0.3391	4.5	576	0.8691	0.4082
0.318	5.0	640	0.3749	0.8859
0.3134	5.5	704	0.3922	0.8758
0.3025	6.0	768	0.3802	0.8826
0.3098	6.5	832	0.3856	0.8725
0.2986	7.0	896	0.3666	0.8859
0.2856	7.5	960	0.3525	0.8826
0.2549	8.0	1024	0.3327	0.8725
0.24	8.5	1088	0.3428	0.9027
0.2422	9.0	1152	0.3304	0.8993
0.2178	9.5	1216	0.3238	0.9027
0.2297	10.0	1280	0.3273	0.9027
0.2176	10.5	1344	0.3285	0.9027
0.2236	11.0	1408	0.3411	0.8792
0.2198	11.5	1472	0.3342	0.8893
0.2056	12.0	1536	0.3108	0.9060
0.1915	12.5	1600	0.2995	0.8993
0.1911	13.0	1664	0.3058	0.9027
0.1787	13.5	1728	0.2928	0.9128
0.1776	14.0	1792	0.2979	0.9060
0.1724	14.5	1856	0.2966	0.9060
0.168	15.0	1920	0.2961	0.9060