MoE-leaf-disease-convnextv2-base-22k-224

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

• Loss: 0.3415
• Accuracy: 0.8827

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: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8	2	0.4614	0.8808
No log	2.0	5	0.3440	0.8827
No log	2.8	7	0.3441	0.8827
0.3155	4.0	10	0.3439	0.8827
0.3155	4.8	12	0.3437	0.8827
0.3155	6.0	15	0.3431	0.8827
0.3155	6.8	17	0.3426	0.8827
0.2577	8.0	20	0.3421	0.8827
0.2577	8.8	22	0.3419	0.8827
0.2577	10.0	25	0.3417	0.8827
0.2577	10.8	27	0.3416	0.8827
0.2601	12.0	30	0.3415	0.8827
0.2601	12.8	32	0.3415	0.8827

Framework versions

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