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dinov2-base-finetuned-eurosat
Isaskar/dinov2-base-finetuned-eurosat
dinov2-base-finetuned-eurosat is a image classification model from Isaskar. 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
- dinov2
- Access
- Public
- Created
- Apr 29, 2024
- Updated
- May 13, 2024
- SHA
- 6485fe90
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. -->
dinov2-base-finetuned-eurosat
This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.6268
- Accuracy: 0.6435
- F1: 0.1249
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: 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 | F1 |
|---|---|---|---|---|---|
| 0.6886 | 0.9858 | 52 | 0.6667 | 0.6189 | 0.0116 |
| 0.6478 | 1.9905 | 105 | 0.6519 | 0.6412 | 0.0 |
| 0.6526 | 2.9573 | 156 | 0.6268 | 0.6435 | 0.1249 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- dinov2
- License
- apache-2.0
- Created
- Apr 29, 2024
- Updated
- May 13, 2024