| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| 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 [GuysTrans/bart-base-finetuned-xsum](https://huggingface.co./GuysTrans/bart-base-finetuned-xsum) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.1545 | |
| - Rouge1: 15.6765 | |
| - Rouge2: 11.2829 | |
| - Rougel: 14.909 | |
| - Rougelsum: 15.4681 | |
| - Bleu-1: 0.0052 | |
| - Bleu-2: 0.0047 | |
| - Bleu-3: 0.0045 | |
| - Bleu-4: 0.0043 | |
| - Gen Len: 20.0 | |
| ## 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: 2e-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 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:------:|:------:|:------:|:------:|:-------:| | |
| | 2.2218 | 1.0 | 28600 | 1.1545 | 15.6765 | 11.2829 | 14.909 | 15.4681 | 0.0052 | 0.0047 | 0.0045 | 0.0043 | 20.0 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.0 | |
| - Datasets 2.1.0 | |
| - Tokenizers 0.13.3 | |