convnextv2-base-22k-384-finetuned-cassava-leaf-disease

This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.3755
• Accuracy: 0.8785

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: 140
• eval_batch_size: 140
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 560
• 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
0.7713	0.99	34	0.5754	0.7949
0.3953	2.0	69	0.3769	0.8650
0.3478	2.99	103	0.3717	0.8673
0.3296	4.0	138	0.3696	0.8752
0.3058	4.99	172	0.3387	0.8808
0.2791	6.0	207	0.3480	0.8804
0.2541	6.99	241	0.3483	0.8799
0.247	8.0	276	0.3590	0.8743
0.2395	8.99	310	0.3505	0.8794
0.2139	10.0	345	0.3702	0.8766
0.2116	10.99	379	0.3702	0.8766
0.204	12.0	414	0.3661	0.8762
0.183	12.99	448	0.3705	0.8776
0.1856	14.0	483	0.3861	0.8780
0.1641	14.99	517	0.3758	0.8766
0.1784	15.77	544	0.3755	0.8785

Framework versions

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