---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-cnn-xsum-swe
  results: []
  
inference:
  parameters:
    temperature: 0.7
    min_length: 30
    max_length: 120
---

<!-- 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-cnn-xsum-swe

This model is a fine-tuned version of [Gabriel/bart-base-cnn-swe](https://huggingface.co/Gabriel/bart-base-cnn-swe) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1027
- Rouge1: 30.9467
- Rouge2: 12.2589
- Rougel: 25.4487
- Rougelsum: 25.4792
- Gen Len: 19.7379

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.3076        | 1.0   | 6375  | 2.1986          | 29.7041 | 10.9883 | 24.2149 | 24.2406   | 19.7193 |
| 2.0733        | 2.0   | 12750 | 2.1246          | 30.4521 | 11.8107 | 24.9519 | 24.9745   | 19.6592 |
| 1.8933        | 3.0   | 19125 | 2.0989          | 30.9407 | 12.2682 | 25.4135 | 25.4378   | 19.7195 |
| 1.777         | 4.0   | 25500 | 2.1027          | 30.9467 | 12.2589 | 25.4487 | 25.4792   | 19.7379 |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1