convnext_tiny.in12k_ft_in1k-finetuned-eurosat
This model is a fine-tuned version of timm/convnext_tiny.in12k_ft_in1k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0427
- Accuracy: 0.9874
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 OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 57
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1927 | 1.0 | 190 | 0.0958 | 0.9644 |
| 0.1429 | 2.0 | 380 | 0.0507 | 0.9844 |
| 0.0879 | 3.0 | 570 | 0.0427 | 0.9874 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2