--- tags: - generated_from_trainer model-index: - name: rob2rand_chen_w_prefix results: [] --- # rob2rand_chen_w_prefix This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0686 - eval_bleu: 84.3905 - eval_em: 50.0650 - eval_bleu_em: 67.2278 - eval_runtime: 20.8187 - eval_samples_per_second: 36.938 - eval_steps_per_second: 0.624 - 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-06 - train_batch_size: 64 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 50 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.18.0 - Pytorch 1.7.1 - Datasets 2.1.0 - Tokenizers 0.12.1