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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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- xsum
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metrics:
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- rouge
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model-index:
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- name: bart-base-facebook
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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: xsum
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type: xsum
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config: default
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split: train
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.7146
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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-facebook
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the xsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1877
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- Rouge1: 0.7146
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- Rouge2: 0.3305
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- Rougel: 0.2988
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- Rougelsum: 0.6822
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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: 10
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- eval_batch_size: 10
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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: 5
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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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| 2.505 | 1.0 | 1359 | 2.1048 | 0.6788 | 0.3022 | 0.2843 | 0.6497 |
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| 2.0216 | 2.0 | 2718 | 2.1010 | 0.7022 | 0.3182 | 0.2974 | 0.672 |
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| 1.7088 | 3.0 | 4077 | 2.1228 | 0.7048 | 0.3214 | 0.2968 | 0.6722 |
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| 1.4778 | 4.0 | 5436 | 2.1655 | 0.7117 | 0.325 | 0.2984 | 0.6786 |
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| 1.3161 | 5.0 | 6795 | 2.1877 | 0.7146 | 0.3305 | 0.2988 | 0.6822 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.12.1+cu113
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- Datasets 2.5.2
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- Tokenizers 0.12.1
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