vit-hybrid-base-bit-384_rice-leaf-disease-augmented-v4_tl

This model is a fine-tuned version of google/vit-hybrid-base-bit-384 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
2.2065	0.5	64	1.9827	0.2013
1.7664	1.0	128	1.4356	0.6342
1.2477	1.5	192	1.0109	0.7483
0.9114	2.0	256	0.7301	0.8054
0.7045	2.5	320	0.6434	0.8020
0.6005	3.0	384	0.5446	0.8356
0.5285	3.5	448	0.4954	0.8423
0.4916	4.0	512	0.4607	0.8557
0.4647	4.5	576	0.4562	0.8691
0.4359	5.0	640	0.4426	0.8725
0.429	5.5	704	0.4481	0.8591
0.4277	6.0	768	0.4403	0.8691
0.4356	6.5	832	0.4443	0.8658
0.3963	7.0	896	0.4111	0.8792
0.3911	7.5	960	0.3971	0.8758
0.3516	8.0	1024	0.3753	0.8859
0.3378	8.5	1088	0.3736	0.8893
0.3368	9.0	1152	0.3733	0.8859
0.319	9.5	1216	0.3641	0.8826
0.3235	10.0	1280	0.3648	0.8792
0.3123	10.5	1344	0.3646	0.8792
0.3209	11.0	1408	0.3667	0.8792
0.3106	11.5	1472	0.3583	0.8893
0.2934	12.0	1536	0.3419	0.8893
0.279	12.5	1600	0.3361	0.8960
0.2774	13.0	1664	0.3358	0.8826
0.2636	13.5	1728	0.3279	0.8926
0.2653	14.0	1792	0.3322	0.8960
0.2587	14.5	1856	0.3304	0.8926
0.2588	15.0	1920	0.3302	0.8926