deit-base-patch16-224_rice-leaf-disease-augmented-v4_tl

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:

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	Validation Loss	Accuracy
2.1222	0.5	64	2.0509	0.1510
1.9017	1.0	128	1.7781	0.4497
1.5825	1.5	192	1.4769	0.5839
1.3241	2.0	256	1.2365	0.6477
1.1218	2.5	320	1.0798	0.7081
1.0	3.0	384	0.9780	0.7148
0.9197	3.5	448	0.9174	0.7181
0.8642	4.0	512	0.8803	0.7450
0.8318	4.5	576	0.8597	0.7617
0.8052	5.0	640	0.8468	0.7584
0.8015	5.5	704	0.8442	0.7584
0.7837	6.0	768	0.8387	0.7617
0.8052	6.5	832	0.8286	0.7584
0.7411	7.0	896	0.7934	0.7685
0.7309	7.5	960	0.7547	0.7785
0.6879	8.0	1024	0.7408	0.7819
0.6677	8.5	1088	0.7244	0.7987
0.6653	9.0	1152	0.7210	0.7886
0.6526	9.5	1216	0.7123	0.7919
0.6396	10.0	1280	0.7103	0.7919
0.6415	10.5	1344	0.7097	0.7919
0.638	11.0	1408	0.6948	0.7953
0.629	11.5	1472	0.6902	0.7953
0.5986	12.0	1536	0.6603	0.7953
0.5859	12.5	1600	0.6631	0.7987
0.5776	13.0	1664	0.6511	0.7953
0.5639	13.5	1728	0.6433	0.7953
0.5643	14.0	1792	0.6448	0.8020
0.5626	14.5	1856	0.6434	0.7953
0.5522	15.0	1920	0.6434	0.7953