--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5-base-tag-generation results: [] --- # t5-base-tag-generation This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. It achieves the following results on the evaluation set: - eval_loss: 1.2167 - eval_rouge1: 28.107 - eval_rouge2: 12.2623 - eval_rougeL: 26.4896 - eval_rougeLsum: 26.5758 - eval_gen_len: 16.21 - eval_runtime: 326.2646 - eval_samples_per_second: 3.065 - eval_steps_per_second: 0.383 - epoch: 0.23 - step: 1500 ## 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: 4e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.1 - Tokenizers 0.12.1