---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: bart-base-finetuned-samsum-en
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: samsum
      type: samsum
      args: samsum
    metrics:
    - name: Rouge1
      type: rouge
      value: 46.8825
---

<!-- 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-finetuned-samsum-en

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3676
- Rouge1: 46.8825
- Rouge2: 22.0923
- Rougel: 39.7249
- Rougelsum: 42.9187

## 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: 5.6e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.5172        | 1.0   | 300  | 2.1613          | 47.4152 | 22.8106 | 39.93   | 43.3639   |
| 0.3627        | 2.0   | 600  | 2.2771          | 47.2676 | 22.6325 | 40.1345 | 43.19     |
| 0.2466        | 3.0   | 900  | 2.3676          | 46.8825 | 22.0923 | 39.7249 | 42.9187   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1