---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6147
- Bleu: 0.2098

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 1.0   | 414   | 1.5123          | 0.1913 |
| 1.8064        | 2.0   | 828   | 1.5254          | 0.2027 |
| 1.1389        | 3.0   | 1242  | 1.5991          | 0.1996 |
| 0.771         | 4.0   | 1656  | 1.7113          | 0.2013 |
| 0.5395        | 5.0   | 2070  | 1.8532          | 0.2015 |
| 0.5395        | 6.0   | 2484  | 1.9543          | 0.1955 |
| 0.3855        | 7.0   | 2898  | 2.0825          | 0.2021 |
| 0.2794        | 8.0   | 3312  | 2.1461          | 0.1981 |
| 0.2203        | 9.0   | 3726  | 2.2048          | 0.2049 |
| 0.1833        | 10.0  | 4140  | 2.2585          | 0.1997 |
| 0.154         | 11.0  | 4554  | 2.2970          | 0.2018 |
| 0.154         | 12.0  | 4968  | 2.3328          | 0.2013 |
| 0.1266        | 13.0  | 5382  | 2.3380          | 0.2012 |
| 0.1054        | 14.0  | 5796  | 2.4021          | 0.2026 |
| 0.0905        | 15.0  | 6210  | 2.4106          | 0.2005 |
| 0.0776        | 16.0  | 6624  | 2.4528          | 0.1988 |
| 0.0665        | 17.0  | 7038  | 2.4778          | 0.2017 |
| 0.0665        | 18.0  | 7452  | 2.5210          | 0.2031 |
| 0.0563        | 19.0  | 7866  | 2.5157          | 0.2029 |
| 0.0487        | 20.0  | 8280  | 2.5245          | 0.1998 |
| 0.0411        | 21.0  | 8694  | 2.5513          | 0.2016 |
| 0.0346        | 22.0  | 9108  | 2.5436          | 0.1994 |
| 0.0304        | 23.0  | 9522  | 2.5845          | 0.1996 |
| 0.0304        | 24.0  | 9936  | 2.5827          | 0.2005 |
| 0.0237        | 25.0  | 10350 | 2.5879          | 0.2067 |
| 0.0201        | 26.0  | 10764 | 2.5744          | 0.2050 |
| 0.0177        | 27.0  | 11178 | 2.6031          | 0.2091 |
| 0.0151        | 28.0  | 11592 | 2.5932          | 0.2099 |
| 0.0133        | 29.0  | 12006 | 2.6221          | 0.2105 |
| 0.0133        | 30.0  | 12420 | 2.6147          | 0.2098 |


### Framework versions

- Transformers 4.52.2
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1