convnext-base-224-finetuned-eurosat
This model is a fine-tuned version of facebook/convnext-base-224 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0081
- F1: 0.9949
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0242 | 0.9994 | 830 | 0.0168 | 0.9903 |
| 0.0127 | 1.9991 | 1660 | 0.0091 | 0.9941 |
| 0.0075 | 2.9988 | 2490 | 0.0081 | 0.9949 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3