--- license: apache-2.0 base_model: tigeryi/imagenet1k tags: - generated_from_trainer model-index: - name: imagenet1k results: [] --- # imagenet1k This model is a fine-tuned version of [tigeryi/imagenet1k](https://huggingface.co/tigeryi/imagenet1k) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 1.0022 - eval_accuracy: 0.7605 - eval_runtime: 1004.8381 - eval_samples_per_second: 49.759 - eval_steps_per_second: 1.555 - step: 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: 5e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 1 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 7 ### Framework versions - Transformers 4.40.1 - Pytorch 2.2.1+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1