---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-finetuned-cnn_dailymail
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-finetuned-cnn_dailymail

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0869
- Rouge1: 24.319
- Rouge2: 11.7165
- Rougel: 20.2787
- Rougelsum: 22.8328
- Bleu 1: 4.2345
- Bleu 2: 2.7623
- Bleu 3: 2.0117
- Meteor: 12.0461
- Compression rate: 4.0559

## 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: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1 | Bleu 2 | Bleu 3 | Meteor  | Compression rate |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:------:|:------:|:-------:|:----------------:|
| 1.4958        | 1.0   | 625  | 1.1055          | 24.2121 | 11.6998 | 20.2626 | 22.6715   | 4.2072 | 2.7283 | 1.981  | 11.9736 | 4.0611           |
| 1.1078        | 2.0   | 1250 | 1.0869          | 24.319  | 11.7165 | 20.2787 | 22.8328   | 4.2345 | 2.7623 | 2.0117 | 12.0461 | 4.0559           |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1