---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-luong
  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-base-luong

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: 0.2356
- Rouge1: 45.4069
- Rouge2: 23.2838
- Rougel: 39.4615
- Rougelsum: 41.5905
- Gen Len: 18.0

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.2702        | 1.0   | 2307  | 0.2429          | 43.0834 | 19.6597 | 36.4303 | 39.1751   | 18.0    |
| 0.2121        | 2.0   | 4615  | 0.2338          | 43.5038 | 20.3513 | 37.1389 | 39.418    | 18.0    |
| 0.1917        | 3.0   | 6922  | 0.2327          | 44.3658 | 21.3002 | 38.0506 | 40.4574   | 18.0    |
| 0.1768        | 4.0   | 9230  | 0.2304          | 44.761  | 22.2373 | 38.713  | 40.955    | 18.0    |
| 0.1658        | 5.0   | 11537 | 0.2310          | 45.176  | 22.8385 | 39.0963 | 41.2373   | 18.0    |
| 0.1567        | 6.0   | 13845 | 0.2327          | 45.2475 | 22.7529 | 38.9987 | 41.2975   | 18.0    |
| 0.1498        | 7.0   | 16152 | 0.2350          | 45.4093 | 22.9187 | 39.1624 | 41.4173   | 18.0    |
| 0.1444        | 8.0   | 18460 | 0.2340          | 45.6332 | 23.1632 | 39.5567 | 41.5893   | 18.0    |
| 0.1406        | 9.0   | 20767 | 0.2353          | 45.1827 | 22.7108 | 39.089  | 41.2022   | 18.0    |
| 0.1385        | 10.0  | 23070 | 0.2356          | 45.4069 | 23.2838 | 39.4615 | 41.5905   | 18.0    |


### Framework versions

- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.15.2