This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.3647
Accuracy: 0.8338

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: 300
eval_batch_size: 300
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 1200
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.73	2	1.4423	0.3842
No log	1.82	5	0.6525	0.6921
No log	2.91	8	0.4914	0.7466
0.9097	4.0	11	0.4710	0.7793
0.9097	4.73	13	0.4358	0.8011
0.9097	5.82	16	0.4048	0.8174
0.9097	6.91	19	0.3875	0.8229
0.3808	8.0	22	0.3756	0.8365
0.3808	8.73	24	0.3794	0.8229
0.3808	9.82	27	0.3701	0.8283
0.3221	10.91	30	0.3659	0.8338
0.3221	11.64	32	0.3647	0.8338

Framework versions

Transformers 4.39.3
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1

louislu9911/Expert1-leaf-disease-convnextv2-base-22k-224-0_4

Expert1-leaf-disease-convnextv2-base-22k-224-0_4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

louislu9911/
Expert1-leaf-disease-convnextv2-base-22k-224-0_4