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convnextv2-tiny-22k-224-finetuned-eurosat-50
ahmedALM1221/convnextv2-tiny-22k-224-finetuned-eurosat-50
convnextv2-tiny-22k-224-finetuned-eurosat-50 is a image classification model from ahmedALM1221. 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
- Jul 6, 2023
- Updated
- Jul 6, 2023
- SHA
- b130fcf6
Datasets
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-22k-224-finetuned-eurosat-50
This model is a fine-tuned version of facebook/convnextv2-tiny-22k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.5332
- Accuracy: 0.8273
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.9
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0127 | 1.0 | 122 | 1.9838 | 0.1942 |
| 1.8499 | 2.0 | 244 | 1.8667 | 0.2456 |
| 1.8024 | 3.0 | 366 | 1.7247 | 0.3792 |
| 1.5952 | 4.0 | 488 | 1.5540 | 0.4861 |
| 1.3867 | 5.0 | 610 | 1.3568 | 0.5550 |
| 1.1846 | 6.0 | 732 | 1.1521 | 0.6372 |
| 1.0063 | 7.0 | 854 | 0.9649 | 0.6824 |
| 0.8932 | 8.0 | 976 | 0.8284 | 0.7307 |
| 0.7576 | 9.0 | 1098 | 0.7217 | 0.7780 |
| 0.6742 | 10.0 | 1220 | 0.6412 | 0.7924 |
| 0.6398 | 11.0 | 1342 | 0.5679 | 0.8160 |
| 0.6243 | 12.0 | 1464 | 0.5332 | 0.8273 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- convnextv2
- License
- apache-2.0
- Created
- Jul 6, 2023
- Updated
- Jul 6, 2023