BaseModel-leaf-disease-convnextv2-base-22k-224-0_1_2_3_4

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: 0.3419
• Accuracy: 0.8813

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
1.4178	0.98	16	0.9457	0.6215
0.6112	1.97	32	0.4856	0.8294
0.4468	2.95	48	0.4163	0.8575
0.3659	4.0	65	0.3790	0.8715
0.3481	4.98	81	0.3655	0.8785
0.3338	5.97	97	0.3637	0.8748
0.3216	6.95	113	0.3568	0.8752
0.2948	8.0	130	0.3493	0.8808
0.2944	8.98	146	0.3483	0.8808
0.2857	9.97	162	0.3474	0.8808
0.2711	10.95	178	0.3442	0.8790
0.2682	12.0	195	0.3418	0.8813
0.252	12.98	211	0.3409	0.8827
0.2598	13.97	227	0.3405	0.8827
0.2621	14.95	243	0.3432	0.8813
0.2602	15.75	256	0.3419	0.8813

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.1