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convnextv2-tiny-1k-224-finetuned-eurosat
ksukrit/convnextv2-tiny-1k-224-finetuned-eurosat
convnextv2-tiny-1k-224-finetuned-eurosat is a image classification model from ksukrit. 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
- Nov 2, 2023
- Updated
- Nov 2, 2023
- SHA
- 78cd7133
Base models
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-1k-224-finetuned-eurosat
This model is a fine-tuned version of facebook/convnextv2-tiny-1k-224 on the image_folder dataset. It achieves the following results on the evaluation set:
- Loss: 0.5454
- Accuracy: 0.7513
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6352 | 1.0 | 14 | 0.5507 | 0.7462 |
| 0.5508 | 2.0 | 28 | 0.5477 | 0.7487 |
| 0.5313 | 3.0 | 42 | 0.5454 | 0.7513 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- convnextv2
- License
- apache-2.0
- Created
- Nov 2, 2023
- Updated
- Nov 2, 2023