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README.md
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---
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license: apache-2.0
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tags:
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- summarization
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: bart-base-finetuned-multi-news
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-base-finetuned-multi-news
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6353
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- Rouge1: 15.1146
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- Rouge2: 5.3873
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- Rougel: 11.4132
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- Rougelsum: 13.2739
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.6e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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| 2.9189 | 1.0 | 625 | 2.4645 | 15.2063 | 5.2852 | 11.5864 | 13.4208 |
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| 2.4697 | 2.0 | 1250 | 2.4706 | 15.3737 | 5.4725 | 11.7465 | 13.5681 |
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| 2.1831 | 3.0 | 1875 | 2.4789 | 14.8306 | 5.0857 | 11.2416 | 13.1072 |
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| 1.9598 | 4.0 | 2500 | 2.5299 | 15.1744 | 5.5465 | 11.6445 | 13.4053 |
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| 1.7777 | 5.0 | 3125 | 2.5799 | 14.9417 | 5.2124 | 11.3553 | 13.1401 |
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| 1.6454 | 6.0 | 3750 | 2.6028 | 14.9804 | 5.333 | 11.294 | 13.2385 |
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| 1.554 | 7.0 | 4375 | 2.6353 | 15.1146 | 5.3873 | 11.4132 | 13.2739 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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