convnextv2-tiny-1k-224-finetuned-cifar10

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

• Loss: 0.6668
• Accuracy: 0.8427

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: 256
• eval_batch_size: 256
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 1024
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.516	1.0	41	1.2639	0.6939
1.0647	2.0	82	0.7782	0.8099
0.9449	2.9441	120	0.6668	0.8427

Framework versions

• Transformers 4.49.0
• Pytorch 2.7.0+cpu
• Datasets 3.3.2
• Tokenizers 0.21.0