---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart
  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

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2484
- Rouge1: 0.2698
- Rouge2: 0.2581
- Rougel: 0.2698
- Rougelsum: 0.2698
- Gen Len: 20.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 3    | 1.6226          | 0.0826 | 0.0    | 0.0661 | 0.0661    | 20.0    |
| No log        | 2.0   | 6    | 1.4712          | 0.256  | 0.2439 | 0.256  | 0.256     | 20.0    |
| No log        | 3.0   | 9    | 1.3444          | 0.2698 | 0.2581 | 0.2698 | 0.2698    | 20.0    |
| No log        | 4.0   | 12   | 1.2484          | 0.2698 | 0.2581 | 0.2698 | 0.2698    | 20.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0