convnext-tiny-224-finetuned-cifar10

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

• Loss: 0.1297
• Accuracy: 0.964

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
0.5127	1.0	352	0.2479	0.9422
0.4022	2.0	704	0.1513	0.9566
0.3945	2.9922	1053	0.1297	0.964

Framework versions

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