---
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: 1.4469
- Rouge1: 54.1048
- Rouge2: 29.4288
- Rougel: 44.7135
- Rougelsum: 49.7824
- Gen Len: 30.1333

## 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 |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4237        | 0.9997 | 1841 | 1.5096          | 52.578  | 27.25   | 43.167  | 47.8705   | 29.2381 |
| 1.0961        | 2.0    | 3683 | 1.4730          | 53.0543 | 28.2549 | 43.5716 | 48.5957   | 30.1355 |
| 0.8667        | 2.9997 | 5524 | 1.5579          | 52.8621 | 28.224  | 43.9952 | 48.5389   | 28.0488 |
| 0.7011        | 3.9989 | 7364 | 1.6067          | 52.4772 | 27.6106 | 43.5235 | 48.0805   | 29.8877 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1