--- library_name: transformers tags: - generated_from_trainer model-index: - name: output results: [] --- # output This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: nan - eval_model_preparation_time: 0.0045 - eval_cer: 1.0 - eval_wer: 1.0 - eval_runtime: 166.3903 - eval_samples_per_second: 18.847 - eval_steps_per_second: 2.356 - 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: 0.0006 - train_batch_size: 8 - eval_batch_size: 8 - seed: 300 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - training_steps: 15000 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.45.2 - Pytorch 2.4.0 - Datasets 2.20.0 - Tokenizers 0.20.1