convnextv2-base-22k-224-finetuned-eurosat
This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4225
- Accuracy: 0.8418
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.5909 | 1.0 | 198 | 0.5287 | 0.7966 |
| 0.2224 | 2.0 | 396 | 0.4225 | 0.8418 |
| 0.1975 | 3.0 | 594 | 0.4207 | 0.8418 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for lucnha/convnextv2-base-22k-224-finetuned-eurosat
Base model
facebook/convnextv2-base-22k-224