---
license: mit
base_model: facebook/bart-large-xsum
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart_samsum
  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_samsum

This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co./facebook/bart-large-xsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4704
- Rouge1: 54.8232
- Rouge2: 30.1114
- Rougel: 45.2666
- Rougelsum: 50.7533
- Gen Len: 30.3399

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.3807        | 0.9997 | 1841 | 1.5203          | 52.4158 | 27.5034 | 42.8274 | 48.0361   | 31.4664 |
| 1.077         | 2.0    | 3683 | 1.5038          | 53.5277 | 28.5946 | 44.2315 | 49.5696   | 30.768  |
| 0.831         | 2.9997 | 5524 | 1.5362          | 52.9008 | 27.7041 | 43.5637 | 48.3921   | 29.9243 |
| 0.6919        | 3.9989 | 7364 | 1.6272          | 52.8716 | 27.9183 | 43.8019 | 48.6547   | 30.2002 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1