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vit-base-patch16-224-finetuned-eurosat
minhdang1/vit-base-patch16-224-finetuned-eurosat
vit-base-patch16-224-finetuned-eurosat is a image classification model from minhdang1. 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
- vit
- Access
- Public
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- 1d993090
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. -->
vit-base-patch16-224-finetuned-eurosat
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3894
- Accuracy: 0.8447
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: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 5 | 1.0761 | 0.5469 |
| 1.1435 | 2.0 | 10 | 0.6466 | 0.7735 |
| 1.1435 | 3.0 | 15 | 0.4962 | 0.8123 |
| 0.5372 | 4.0 | 20 | 0.4365 | 0.8252 |
| 0.5372 | 5.0 | 25 | 0.4118 | 0.8382 |
| 0.362 | 6.0 | 30 | 0.4031 | 0.8414 |
| 0.362 | 7.0 | 35 | 0.3944 | 0.8511 |
| 0.3028 | 8.0 | 40 | 0.3930 | 0.8414 |
| 0.3028 | 9.0 | 45 | 0.3928 | 0.8479 |
| 0.2708 | 10.0 | 50 | 0.3894 | 0.8447 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.4
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024