--- license: apache-2.0 tags: - generated_from_trainer datasets: - samsum model-index: - name: models_and_tokenizers results: [] --- # models_and_tokenizers This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset. It achieves the following results on the evaluation set: - eval_loss: 1.4721 - eval_rouge1: 45.9566 - eval_rouge2: 22.0863 - eval_rougeL: 38.238 - eval_rougeLsum: 41.9378 - eval_get_len: 16.9096 - eval_runtime: 131.3434 - eval_samples_per_second: 6.236 - eval_steps_per_second: 0.784 - 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: 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 ### Framework versions - Transformers 4.26.1 - Pytorch 1.13.1 - Datasets 2.10.1 - Tokenizers 0.13.2