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: 0.1599
Accuracy: 0.9498

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
1.0623	0.96	13	0.6227	0.7456
0.5754	2.0	27	0.2772	0.8996
0.233	2.96	40	0.2167	0.9255
0.1972	4.0	54	0.1777	0.9425
0.1763	4.96	67	0.1742	0.9425
0.1631	6.0	81	0.1650	0.9459
0.1532	6.96	94	0.1708	0.9391
0.1384	8.0	108	0.1627	0.9442
0.1415	8.96	121	0.1662	0.9447
0.133	10.0	135	0.1620	0.9470
0.1362	10.96	148	0.1715	0.9442
0.1248	12.0	162	0.1628	0.9447
0.1217	12.96	175	0.1607	0.9475
0.1264	14.0	189	0.1587	0.9475
0.1178	14.96	202	0.1595	0.9498
0.1178	15.41	208	0.1599	0.9498

Framework versions

Transformers 4.39.3
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1

louislu9911/Expert2-leaf-disease-convnextv2-base-22k-224-1_2_3

Expert2-leaf-disease-convnextv2-base-22k-224-1_2_3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

louislu9911/
Expert2-leaf-disease-convnextv2-base-22k-224-1_2_3