---
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: 1.5520
- Rouge1: 53.0152
- Rouge2: 28.029
- Rougel: 43.8864
- Rougelsum: 48.7945
- Gen Len: 30.3138

## 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4812        | 1.0   | 921  | 1.5084          | 52.6238 | 27.9144 | 43.3378 | 48.77     | 30.4225 |
| 1.1068        | 2.0   | 1842 | 1.4507          | 53.2142 | 28.5004 | 44.382  | 49.228    | 28.6264 |
| 0.9224        | 3.0   | 2763 | 1.5031          | 52.8334 | 27.9492 | 43.7939 | 48.714    | 29.5751 |
| 0.7957        | 4.0   | 3684 | 1.5520          | 53.0152 | 28.029  | 43.8864 | 48.7945   | 30.3138 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1