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