--- license: apache-2.0 tags: - summarization - generated_from_trainer datasets: - amazon_reviews_multi metrics: - rouge model-index: - name: bart-base-finetuned-amazon-onlyen results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: amazon_reviews_multi type: amazon_reviews_multi args: en metrics: - name: Rouge1 type: rouge value: 17.2662 --- # bart-base-finetuned-amazon-onlyen This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set: - Loss: 3.7572 - Rouge1: 17.2662 - Rouge2: 8.7425 - Rougel: 16.5765 - Rougelsum: 16.6844 ## 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: 5.6e-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: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | 2.9212 | 1.0 | 771 | 2.8034 | 15.381 | 8.5254 | 15.223 | 15.059 | | 2.3109 | 2.0 | 1542 | 2.8386 | 19.8947 | 11.0965 | 19.4876 | 19.5366 | | 1.8973 | 3.0 | 2313 | 2.9258 | 17.7443 | 8.9232 | 17.311 | 17.1796 | | 1.5421 | 4.0 | 3084 | 3.0696 | 17.8204 | 8.8919 | 17.3889 | 17.205 | | 1.2391 | 5.0 | 3855 | 3.2609 | 15.9828 | 8.0523 | 15.393 | 15.3808 | | 0.9736 | 6.0 | 4626 | 3.4080 | 15.7572 | 8.806 | 15.2435 | 15.3036 | | 0.7824 | 7.0 | 5397 | 3.5537 | 18.4389 | 9.5135 | 17.7836 | 17.8758 | | 0.6233 | 8.0 | 6168 | 3.6909 | 14.6698 | 6.9584 | 13.9417 | 14.0057 | | 0.5086 | 9.0 | 6939 | 3.7357 | 16.9465 | 7.7604 | 16.1993 | 16.2963 | | 0.4412 | 10.0 | 7710 | 3.7572 | 17.2662 | 8.7425 | 16.5765 | 16.6844 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.2 - Tokenizers 0.12.1