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---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: bart-base-finetuned-cnn-news
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: validation
args: 3.0.0
metrics:
- name: Rouge1
type: rouge
value: 21.8948
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-base-finetuned-cnn-news
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the cnn_dailymail dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8560
- Rouge1: 21.8948
- Rouge2: 9.7157
- Rougel: 17.9348
- Rougelsum: 20.5347
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.00056
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 3.7005 | 1.0 | 718 | 2.9872 | 21.7279 | 9.0406 | 17.392 | 20.0627 |
| 2.937 | 2.0 | 1436 | 2.8590 | 21.3056 | 8.5254 | 17.2338 | 20.0403 |
| 2.2642 | 3.0 | 2154 | 2.6744 | 21.277 | 9.6162 | 17.7775 | 20.1688 |
| 1.5774 | 4.0 | 2872 | 2.7020 | 21.7458 | 9.846 | 18.1649 | 20.7067 |
| 1.0174 | 5.0 | 3590 | 2.8560 | 21.8948 | 9.7157 | 17.9348 | 20.5347 |
### Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
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