convnextv2-tiny-1k-224-finetuned-print-type-v2

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

• Loss: 0.3418
• Accuracy: 0.9053
• Precision: 0.9102

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: 2e-05
• train_batch_size: 10
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision
No log	1.0	76	0.8899	0.7842	0.8005
No log	2.0	152	0.5119	0.8526	0.8568
No log	3.0	228	0.3834	0.8737	0.8773
No log	4.0	304	0.3494	0.8947	0.8973
No log	5.0	380	0.3822	0.8737	0.8859
No log	6.0	456	0.3840	0.8842	0.8985
0.4844	7.0	532	0.3418	0.9053	0.9102
0.4844	8.0	608	0.3430	0.9158	0.9152
0.4844	9.0	684	0.4108	0.9105	0.9135
0.4844	10.0	760	0.3836	0.9211	0.9216

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 2.21.0
• Tokenizers 0.19.1