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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-summarization
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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-summarization
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2885
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- Rouge1: 31.8585
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- Rouge2: 20.7559
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- Rougel: 28.879
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- Rougelsum: 29.6017
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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: 1
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- eval_batch_size: 1
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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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| 1.8516 | 1.0 | 308 | 1.3028 | 29.4331 | 19.2619 | 27.1598 | 28.1099 |
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| 1.2211 | 2.0 | 616 | 1.2506 | 30.2583 | 19.7126 | 28.1328 | 28.9654 |
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| 0.911 | 3.0 | 924 | 1.2316 | 29.3854 | 18.6132 | 27.3488 | 28.2225 |
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| 0.6824 | 4.0 | 1232 | 1.2583 | 32.0664 | 22.0751 | 29.521 | 30.5109 |
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| 0.542 | 5.0 | 1540 | 1.2885 | 31.8585 | 20.7559 | 28.879 | 29.6017 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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