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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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- 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
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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
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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: 2.5628
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- Rouge1: 0.2526
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- Rouge2: 0.0768
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- Rougel: 0.2107
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- Rougelsum: 0.2092
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- Gen Len: 18.7907
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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: 2e-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: 4
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 99 | 2.5303 | 0.2381 | 0.0804 | 0.1919 | 0.1908 | 18.4651 |
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| No log | 2.0 | 198 | 2.5241 | 0.2623 | 0.0922 | 0.2162 | 0.2144 | 19.1395 |
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| No log | 3.0 | 297 | 2.5326 | 0.2481 | 0.0879 | 0.2043 | 0.204 | 18.0233 |
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| No log | 4.0 | 396 | 2.5628 | 0.2526 | 0.0768 | 0.2107 | 0.2092 | 18.7907 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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