---
license: mit
base_model: facebook/bart-large-cnn
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-cnn_fine_tuned
  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_fine_tuned

This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co./facebook/bart-large-cnn) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3711
- Rouge1: 64.5245
- Rouge2: 53.1381
- Rougel: 47.3234
- Rougelsum: 51.2042

## 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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.4228        | 1.0   | 389  | 0.3821          | 57.8993 | 45.4774 | 41.9455 | 44.9012   |
| 0.321         | 2.0   | 778  | 0.3641          | 61.5071 | 49.6584 | 45.5774 | 48.3601   |
| 0.2764        | 3.0   | 1167 | 0.3689          | 63.7295 | 52.1907 | 46.827  | 50.3726   |
| 0.2504        | 4.0   | 1556 | 0.3711          | 64.5245 | 53.1381 | 47.3234 | 51.2042   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1