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ConvNeXtV2_Tiny_v5
Foxasdf/ConvNeXtV2_Tiny_v5
ConvNeXtV2_Tiny_v5 is a image classification model from Foxasdf. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- convnextv2
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026
- SHA
- aaa53810
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ConvNeXtV2_Tiny_v5
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: 0.0440
- Accuracy: 0.9915
- Precision: 0.9957
- Recall: 0.9860
- F1: 0.9908
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- 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: 143
- num_epochs: 13
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.1871 | 1.0 | 111 | 0.2640 | 0.7658 | 0.6656 | 0.9902 | 0.7961 |
| 0.1994 | 2.0 | 222 | 0.0950 | 0.9729 | 0.9667 | 0.9750 | 0.9708 |
| 0.2047 | 3.0 | 333 | 0.0681 | 0.9862 | 0.9956 | 0.9744 | 0.9849 |
| 0.1691 | 4.0 | 444 | 0.0697 | 0.9848 | 0.9901 | 0.9768 | 0.9834 |
| 0.1664 | 5.0 | 555 | 0.0673 | 0.9887 | 0.9950 | 0.9805 | 0.9877 |
| 0.1318 | 6.0 | 666 | 0.0747 | 0.9772 | 0.9642 | 0.9872 | 0.9756 |
| 0.1367 | 7.0 | 777 | 0.0461 | 0.9896 | 0.9938 | 0.9835 | 0.9886 |
| 0.1134 | 8.0 | 888 | 0.0431 | 0.9910 | 0.9951 | 0.9853 | 0.9902 |
| 0.1782 | 9.0 | 999 | 0.0526 | 0.9896 | 0.9951 | 0.9823 | 0.9886 |
| 0.1513 | 10.0 | 1110 | 0.0520 | 0.9901 | 0.9957 | 0.9829 | 0.9892 |
| 0.1352 | 11.0 | 1221 | 0.0469 | 0.9901 | 0.9938 | 0.9847 | 0.9893 |
| 0.1377 | 12.0 | 1332 | 0.0448 | 0.9907 | 0.9957 | 0.9841 | 0.9899 |
| 0.1107 | 13.0 | 1443 | 0.0440 | 0.9915 | 0.9957 | 0.9860 | 0.9908 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Image Classification
- Library
- transformers
- Type
- convnextv2
- License
- apache-2.0
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026