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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-finetuned-kaggglenews-fact-corrector-I
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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-kaggglenews-fact-corrector-I
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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: 1.6576
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- Rouge1: 28.8619
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- Rouge2: 16.0317
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- Rougel: 24.2537
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- Rougelsum: 26.1633
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- Gen Len: 20.0
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3
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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 | 432 | 1.6696 | 27.5533 | 14.7959 | 23.585 | 25.2981 | 20.0 |
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| 1.9318 | 2.0 | 864 | 1.6193 | 28.7666 | 16.4557 | 24.5235 | 26.3369 | 20.0 |
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| 1.2732 | 3.0 | 1296 | 1.6576 | 28.8619 | 16.0317 | 24.2537 | 26.1633 | 20.0 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.10.0+cu102
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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