jute_pest_classification – AI Model by dimasichsanul | AlphaNeural AI

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dimasichsanul/
jute_pest_classification

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image-classification

generated_from_trainer

google/vit-base-patch16-224-in21k

autotrain_compatible

endpoints_compatible

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jute_pest_classification

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Jute Pest dataset. It achieves the following results on the evaluation set:

Loss: 0.0949
F1: 0.9817
Precision: 0.9838
Recall: 0.9815

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: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Precision	Recall
0.0536	1.0	537	0.2264	0.9516	0.9574	0.9516
0.0133	2.0	1074	0.3102	0.9448	0.9509	0.9467
0.0111	3.0	1611	0.3323	0.9402	0.9464	0.9395
0.0051	4.0	2148	0.2991	0.9447	0.9500	0.9443
0.0037	5.0	2685	0.3045	0.9447	0.9500	0.9443

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2