| license: apache-2.0 | |
| tags: | |
| - image-classification | |
| - generated_from_trainer | |
| datasets: | |
| - beans | |
| model-index: | |
| - name: vit-base-beans | |
| results: | |
| - task: | |
| type: image-classification | |
| name: Image Classification | |
| dataset: | |
| name: beans | |
| type: beans | |
| config: default | |
| split: test | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.4140625 | |
| verified: true | |
| - name: Precision Macro | |
| type: precision | |
| value: 0.39234923492349233 | |
| verified: true | |
| - name: Precision Micro | |
| type: precision | |
| value: 0.4140625 | |
| verified: true | |
| - name: Precision Weighted | |
| type: precision | |
| value: 0.3907979860486049 | |
| verified: true | |
| - name: Recall Macro | |
| type: recall | |
| value: 0.41325212255444815 | |
| verified: true | |
| - name: Recall Micro | |
| type: recall | |
| value: 0.4140625 | |
| verified: true | |
| - name: Recall Weighted | |
| type: recall | |
| value: 0.4140625 | |
| verified: true | |
| - name: F1 Macro | |
| type: f1 | |
| value: 0.3298611111111111 | |
| verified: true | |
| - name: F1 Micro | |
| type: f1 | |
| value: 0.4140625 | |
| verified: true | |
| - name: F1 Weighted | |
| type: f1 | |
| value: 0.3292643229166667 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 1.0843162536621094 | |
| verified: true | |
| <!-- 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. --> | |
| # vit-base-beans | |
| This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset. | |
| ## 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 | |
| ### Framework versions | |
| - Transformers 4.19.0.dev0 | |
| - Pytorch 1.10.1 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.12.1 | |