---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-large-finetuned-summarization
  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-finetuned-summarization

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1841
- Rouge1: 32.6763
- Rouge2: 23.1598
- Rougel: 31.2322
- Rougelsum: 32.278

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.7048        | 1.0   | 308  | 1.1916          | 32.0296 | 21.6931 | 30.2623 | 31.1959   |
| 1.1153        | 2.0   | 616  | 1.2054          | 30.7076 | 21.7771 | 29.3115 | 29.9377   |
| 0.78          | 3.0   | 924  | 1.1096          | 32.4164 | 22.494  | 31.0367 | 31.8135   |
| 0.5335        | 4.0   | 1232 | 1.1547          | 33.2561 | 23.6119 | 32.1371 | 32.591    |
| 0.361         | 5.0   | 1540 | 1.1841          | 32.6763 | 23.1598 | 31.2322 | 32.278    |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3