| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: bart-base-finetuned-xsum | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # bart-base-finetuned-xsum | |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.6558 | |
| - eval_rouge1: 10.116 | |
| - eval_rouge2: 4.6066 | |
| - eval_rougeL: 8.2314 | |
| - eval_rougeLsum: 9.4884 | |
| - eval_gen_len: 20.0 | |
| - eval_runtime: 1086.9962 | |
| - eval_samples_per_second: 11.385 | |
| - eval_steps_per_second: 0.712 | |
| - epoch: 2.0 | |
| - step: 6188 | |
| ## 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: 2e-05 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10 | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.3 | |