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mobilevit-small-finetuned-eurosat
loucad/mobilevit-small-finetuned-eurosat
mobilevit-small-finetuned-eurosat is a image classification model from loucad. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- other
- Model type
- mobilevit
- Access
- Public
- Created
- Jul 28, 2023
- Updated
- Jul 29, 2023
- SHA
- b6d7bc97
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. -->
mobilevit-small-finetuned-eurosat
This model is a fine-tuned version of apple/mobilevit-small on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.3838
- Accuracy: 0.9189
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 |
|---|---|---|---|---|
| 1.065 | 1.0 | 190 | 0.8779 | 0.8385 |
| 0.636 | 2.0 | 380 | 0.4618 | 0.9011 |
| 0.5761 | 3.0 | 570 | 0.3838 | 0.9189 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- mobilevit
- License
- other
- Created
- Jul 28, 2023
- Updated
- Jul 29, 2023