| license: apache-2.0 | |
| base_model: facebook/bart-base | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - samsum | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: check | |
| results: | |
| - task: | |
| name: Sequence-to-sequence Language Modeling | |
| type: text2text-generation | |
| dataset: | |
| name: samsum | |
| type: samsum | |
| config: samsum | |
| split: validation | |
| args: samsum | |
| metrics: | |
| - name: Rouge1 | |
| type: rouge | |
| value: 49.2755 | |
| <!-- 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. --> | |
| # check | |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the samsum dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.4938 | |
| - Rouge1: 49.2755 | |
| - Rouge2: 25.516 | |
| - Rougel: 41.7628 | |
| - Rougelsum: 45.3627 | |
| ## 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: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:| | |
| | 1.8388 | 1.0 | 1842 | 1.4938 | 49.2755 | 25.516 | 41.7628 | 45.3627 | | |
| ### Framework versions | |
| - Transformers 4.42.4 | |
| - Pytorch 2.3.1+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |