MoE-leaf-disease-convnextv2-base-1k-224

This model is a fine-tuned version of on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.3758
• Accuracy: 0.8762

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: 2000
• eval_batch_size: 2000
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8000
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8	2	0.4078	0.8724
No log	2.0	5	0.3771	0.8776
No log	2.8	7	0.3776	0.8762
0.3197	4.0	10	0.3773	0.8762
0.3197	4.8	12	0.3768	0.8762
0.3197	6.0	15	0.3762	0.8762
0.3197	6.8	17	0.3760	0.8762
0.2995	8.0	20	0.3759	0.8762
0.2995	8.8	22	0.3759	0.8762
0.2995	10.0	25	0.3758	0.8762
0.2995	10.8	27	0.3758	0.8762
0.2996	12.0	30	0.3758	0.8762
0.2996	12.8	32	0.3758	0.8762
0.2996	14.0	35	0.3758	0.8762
0.2996	14.8	37	0.3758	0.8762
0.3024	16.0	40	0.3758	0.8762

Framework versions

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