--- license: apache-2.0 tags: - generated_from_trainer datasets: - image_folder base_model: facebook/convnext-base-224-22k model-index: - name: flyswot_test results: [] --- # flyswot_test This model is a fine-tuned version of [facebook/convnext-base-224-22k](https://huggingface.co/facebook/convnext-base-224-22k) on the image_folder dataset. It achieves the following results on the evaluation set: - eval_loss: 0.1518 - eval_f1: 0.9595 - eval_runtime: 5.9337 - eval_samples_per_second: 69.603 - eval_steps_per_second: 2.191 - epoch: 7.0 - step: 364 ## 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: 2e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 666 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 40 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.17.0.dev0 - Pytorch 1.10.0+cu111 - Datasets 1.18.3 - Tokenizers 0.11.6