convnextv2-base-1k-224-finetuned-cifar10

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

• Loss: 0.0695
• Accuracy: 0.983

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: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• 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
0.4043	1.0	352	0.1423	0.9716
0.2958	2.0	704	0.0955	0.9768
0.2352	2.9922	1053	0.0695	0.983

Framework versions

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