--- library_name: transformers tags: - generated_from_trainer model-index: - name: albert-category-classification-rob-dset results: [] --- # albert-category-classification-rob-dset This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 1.1897 - eval_model_preparation_time: 0.0047 - eval_accuracy: 0.5857 - eval_f1: 0.5798 - eval_runtime: 99.8449 - eval_samples_per_second: 30.047 - eval_steps_per_second: 1.883 - 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Framework versions - Transformers 4.44.2 - Pytorch 2.5.0+cu121 - Datasets 3.1.0 - Tokenizers 0.19.1