| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - image_folder | |
| model-index: | |
| - name: flyswot_test | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # 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 | |