convnext-large-384-22k-1k-finetuned-eurosat
This model is a fine-tuned version of facebook/convnext-large-384-22k-1k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
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: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2737 | 0.97 | 22 | 0.0849 |
| 0.0416 | 1.98 | 45 | 0.0055 |
| 0.0096 | 2.99 | 68 | 0.0012 |
| 0.0018 | 3.87 | 88 | 0.0029 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2