--- license: apache-2.0 base_model: facebook/convnext-large-384-22k-1k tags: - generated_from_trainer datasets: - imagefolder model-index: - name: convnext-large-384-22k-1k-finetuned-eurosat results: [] --- # convnext-large-384-22k-1k-finetuned-eurosat This model is a fine-tuned version of [facebook/convnext-large-384-22k-1k](https://huggingface.co/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