---
license: mit
base_model: facebook/bart-large-cnn
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn-dc
  results: []
---

<!-- 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-large-cnn-dc

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7411
- Rouge1: 32.6259
- Rouge2: 13.8436
- Rougel: 24.1807
- Rougelsum: 25.5363

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.913         | 1.0   | 2676  | 1.7099          | 31.961  | 13.1769 | 22.9039 | 24.4001   |
| 1.4454        | 2.0   | 5352  | 1.5883          | 32.4628 | 13.6901 | 23.9072 | 25.1181   |
| 1.1456        | 3.0   | 8028  | 1.5655          | 32.4881 | 13.8212 | 23.8344 | 25.0851   |
| 0.8904        | 4.0   | 10704 | 1.6124          | 32.7249 | 13.7468 | 24.0745 | 25.5324   |
| 0.6868        | 5.0   | 13380 | 1.7411          | 32.6259 | 13.8436 | 24.1807 | 25.5363   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2