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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: summarizer
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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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# summarizer
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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: 2.4858
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- Rouge1: 50.2321
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- Rouge2: 24.0325
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- Rougel: 45.4209
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- Rougelsum: 45.4669
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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: 8
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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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| 2.324 | 1.0 | 460 | 1.8943 | 49.6772 | 24.3924 | 45.0788 | 45.1276 |
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| 1.5791 | 2.0 | 920 | 1.8899 | 49.6626 | 24.2944 | 45.2762 | 45.4145 |
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| 1.0975 | 3.0 | 1380 | 1.9199 | 49.725 | 24.1088 | 44.9682 | 45.0787 |
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| 0.7581 | 4.0 | 1840 | 2.1324 | 48.8128 | 22.5742 | 44.3464 | 44.3182 |
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| 0.5103 | 5.0 | 2300 | 2.3014 | 49.5098 | 23.3978 | 44.8389 | 44.9802 |
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| 0.3448 | 6.0 | 2760 | 2.3828 | 49.8076 | 23.3584 | 44.7778 | 44.8633 |
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| 0.2394 | 7.0 | 3220 | 2.4564 | 49.3934 | 23.7093 | 44.486 | 44.6473 |
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| 0.1763 | 8.0 | 3680 | 2.4858 | 50.2321 | 24.0325 | 45.4209 | 45.4669 |
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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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