| license: apache-2.0 | |
| tags: | |
| - image-classification | |
| - vision | |
| - generated_from_trainer | |
| datasets: | |
| - wiki_art | |
| metrics: | |
| - accuracy | |
| base_model: facebook/convnext-tiny-224 | |
| model-index: | |
| - name: convnext-tiny-224-wikiart | |
| results: | |
| - task: | |
| type: image-classification | |
| name: Image Classification | |
| dataset: | |
| name: huggan/wikiart | |
| type: wiki_art | |
| config: default | |
| split: train | |
| args: default | |
| metrics: | |
| - type: accuracy | |
| value: 0.7140050748956372 | |
| name: Accuracy | |
| <!-- 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. --> | |
| # convnext-tiny-224-wikiart | |
| This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the huggan/wikiart dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.8022 | |
| - Accuracy: 0.7140 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 1337 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| | |
| | 0.9779 | 1.0 | 8654 | 0.9191 | 0.6743 | | |
| | 0.9959 | 2.0 | 17308 | 0.8523 | 0.6941 | | |
| | 1.0344 | 3.0 | 25962 | 0.8277 | 0.7023 | | |
| | 0.8853 | 4.0 | 34616 | 0.8126 | 0.7100 | | |
| | 0.9557 | 5.0 | 43270 | 0.8022 | 0.7140 | | |
| ### Framework versions | |
| - Transformers 4.28.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.10.1 | |
| - Tokenizers 0.13.2 | |