BaseModel-leaf-disease-convnextv2-base-1k-224-0_1_2_3_4

This model is a fine-tuned version of facebook/convnextv2-base-1k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.3737
• Accuracy: 0.8738

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
0.9249	0.98	16	0.6211	0.7752
0.5028	1.97	32	0.4815	0.8411
0.4421	2.95	48	0.4503	0.8533
0.4009	4.0	65	0.4187	0.8607
0.3821	4.98	81	0.4080	0.8626
0.3672	5.97	97	0.3952	0.8626
0.3544	6.95	113	0.3927	0.8701
0.3287	8.0	130	0.3848	0.8734
0.327	8.98	146	0.3877	0.8696
0.3239	9.97	162	0.3783	0.8701
0.3113	10.95	178	0.3746	0.8724
0.3146	12.0	195	0.3736	0.8734
0.3031	12.98	211	0.3747	0.8692
0.3075	13.97	227	0.3752	0.8738
0.3071	14.95	243	0.3759	0.8762
0.3028	15.75	256	0.3737	0.8738

Framework versions

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