| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| datasets: | |
| - samsum | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: bart-base-finetuned-samsum-en | |
| results: | |
| - task: | |
| name: Sequence-to-sequence Language Modeling | |
| type: text2text-generation | |
| dataset: | |
| name: samsum | |
| type: samsum | |
| args: samsum | |
| metrics: | |
| - name: Rouge1 | |
| type: rouge | |
| value: 46.8825 | |
| - task: | |
| type: summarization | |
| name: Summarization | |
| dataset: | |
| name: samsum | |
| type: samsum | |
| config: samsum | |
| split: test | |
| metrics: | |
| - name: ROUGE-1 | |
| type: rouge | |
| value: 45.0692 | |
| verified: true | |
| - name: ROUGE-2 | |
| type: rouge | |
| value: 20.9049 | |
| verified: true | |
| - name: ROUGE-L | |
| type: rouge | |
| value: 37.3128 | |
| verified: true | |
| - name: ROUGE-LSUM | |
| type: rouge | |
| value: 40.662 | |
| verified: true | |
| - name: loss | |
| type: loss | |
| value: 5.763935565948486 | |
| verified: true | |
| - name: gen_len | |
| type: gen_len | |
| value: 18.4921 | |
| verified: true | |
| <!-- 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-samsum-en | |
| 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: 2.3676 | |
| - Rouge1: 46.8825 | |
| - Rouge2: 22.0923 | |
| - Rougel: 39.7249 | |
| - Rougelsum: 42.9187 | |
| ## 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: 10 | |
| - eval_batch_size: 10 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | |
| | 0.5172 | 1.0 | 300 | 2.1613 | 47.4152 | 22.8106 | 39.93 | 43.3639 | | |
| | 0.3627 | 2.0 | 600 | 2.2771 | 47.2676 | 22.6325 | 40.1345 | 43.19 | | |
| | 0.2466 | 3.0 | 900 | 2.3676 | 46.8825 | 22.0923 | 39.7249 | 42.9187 | | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |