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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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datasets:
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- amazon_reviews_multi
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metrics:
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- rouge
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model-index:
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- name: bart-base-finetuned-amazon-onlyen
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: amazon_reviews_multi
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type: amazon_reviews_multi
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args: en
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metrics:
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- name: Rouge1
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type: rouge
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value: 17.2662
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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-amazon-onlyen
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the amazon_reviews_multi dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.7572
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- Rouge1: 17.2662
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- Rouge2: 8.7425
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- Rougel: 16.5765
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- Rougelsum: 16.6844
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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: 8
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- eval_batch_size: 8
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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: 10
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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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| 2.9212 | 1.0 | 771 | 2.8034 | 15.381 | 8.5254 | 15.223 | 15.059 |
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| 2.3109 | 2.0 | 1542 | 2.8386 | 19.8947 | 11.0965 | 19.4876 | 19.5366 |
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| 1.8973 | 3.0 | 2313 | 2.9258 | 17.7443 | 8.9232 | 17.311 | 17.1796 |
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| 1.5421 | 4.0 | 3084 | 3.0696 | 17.8204 | 8.8919 | 17.3889 | 17.205 |
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| 1.2391 | 5.0 | 3855 | 3.2609 | 15.9828 | 8.0523 | 15.393 | 15.3808 |
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| 0.9736 | 6.0 | 4626 | 3.4080 | 15.7572 | 8.806 | 15.2435 | 15.3036 |
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| 0.7824 | 7.0 | 5397 | 3.5537 | 18.4389 | 9.5135 | 17.7836 | 17.8758 |
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| 0.6233 | 8.0 | 6168 | 3.6909 | 14.6698 | 6.9584 | 13.9417 | 14.0057 |
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| 0.5086 | 9.0 | 6939 | 3.7357 | 16.9465 | 7.7604 | 16.1993 | 16.2963 |
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| 0.4412 | 10.0 | 7710 | 3.7572 | 17.2662 | 8.7425 | 16.5765 | 16.6844 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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