| library_name: transformers | |
| license: apache-2.0 | |
| base_model: timm/beitv2_base_patch16_224.in1k_ft_in22k | |
| tags: | |
| - timm | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: beitv2-base-beans | |
| 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. --> | |
| # beitv2-base-beans | |
| This model is a fine-tuned version of [timm/beitv2_base_patch16_224.in1k_ft_in22k](https://huggingface.co/timm/beitv2_base_patch16_224.in1k_ft_in22k) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Accuracy: 0.9232 | |
| - Loss: 0.3161 | |
| - Num Input Tokens Seen: 0 | |
| ## 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: 7.8125e-05 | |
| - train_batch_size: 160 | |
| - eval_batch_size: 160 | |
| - seed: 1337 | |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 20360 | |
| - num_epochs: 100.0 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.57.0.dev0 | |
| - Pytorch 2.7.1+cu126 | |
| - Datasets 4.0.0 | |
| - Tokenizers 0.22.0 | |