| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: headline_geneartor | |
| 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. --> | |
| # headline_geneartor | |
| 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: | |
| - Loss: 1.8033 | |
| - Rouge1: 0.4798 | |
| - Rouge2: 0.2432 | |
| - Rougel: 0.4377 | |
| - Rougelsum: 0.4375 | |
| - Gen Len: 17.7487 | |
| ## 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: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 2.1366 | 1.0 | 3557 | 1.8742 | 0.4718 | 0.2344 | 0.4309 | 0.4308 | 17.7863 | | |
| | 1.8889 | 2.0 | 7114 | 1.8210 | 0.4741 | 0.2392 | 0.433 | 0.4329 | 17.7028 | | |
| | 1.7281 | 3.0 | 10671 | 1.8087 | 0.4797 | 0.2417 | 0.4374 | 0.4372 | 17.7501 | | |
| | 1.6333 | 4.0 | 14228 | 1.8033 | 0.4798 | 0.2432 | 0.4377 | 0.4375 | 17.7487 | | |
| ### Framework versions | |
| - Transformers 4.30.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.0 | |
| - Tokenizers 0.13.3 | |