This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0702
Accuracy: 0.9777

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3974	0.9996	1145	0.3599	0.8979
0.2155	2.0	2291	0.1525	0.9603
0.2058	2.9996	3436	0.1492	0.9559
0.1524	4.0	4582	0.1025	0.9694
0.1274	4.9996	5727	0.0928	0.9706
0.1141	6.0	6873	0.0874	0.9723
0.1275	6.9996	8018	0.1226	0.9620
0.1323	8.0	9164	0.0702	0.9777
0.1212	8.9996	10309	0.1257	0.9607
0.0981	9.9956	11450	0.0750	0.9751

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1

HalsSadia/plant-disease-model

mobilenet_v2_1.0_224-finetuned-plantdisease

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

HalsSadia/
plant-disease-model