convnext_tiny.in12k_ft_in1k-finetuned-cifar10
This model is a fine-tuned version of timm/convnext_tiny.in12k_ft_in1k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0569
- Accuracy: 0.9826
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 235
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4734 | 1.0 | 196 | 0.1143 | 0.9651 |
| 0.3522 | 2.0 | 392 | 0.0793 | 0.9732 |
| 0.2655 | 3.0 | 588 | 0.0569 | 0.9826 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2