| license: apache-2.0 | |
| base_model: facebook/bart-base | |
| 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 an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 1.7777 | |
| - eval_rouge1: 10.4738 | |
| - eval_rouge2: 5.5988 | |
| - eval_rougeL: 8.9936 | |
| - eval_rougeLsum: 10.0252 | |
| - eval_gen_len: 20.0 | |
| - eval_runtime: 223.3342 | |
| - eval_samples_per_second: 4.487 | |
| - eval_steps_per_second: 2.243 | |
| - epoch: 5.0 | |
| - step: 10015 | |
| ## 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: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10 | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.3 | |
| - Tokenizers 0.13.3 | |