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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-large-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-large-finetuned-summarization
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1841
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- Rouge1: 32.6763
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- Rouge2: 23.1598
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- Rougel: 31.2322
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- Rougelsum: 32.278
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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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| 1.7048 | 1.0 | 308 | 1.1916 | 32.0296 | 21.6931 | 30.2623 | 31.1959 |
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| 1.1153 | 2.0 | 616 | 1.2054 | 30.7076 | 21.7771 | 29.3115 | 29.9377 |
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| 0.78 | 3.0 | 924 | 1.1096 | 32.4164 | 22.494 | 31.0367 | 31.8135 |
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| 0.5335 | 4.0 | 1232 | 1.1547 | 33.2561 | 23.6119 | 32.1371 | 32.591 |
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| 0.361 | 5.0 | 1540 | 1.1841 | 32.6763 | 23.1598 | 31.2322 | 32.278 |
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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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