---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart_base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart_base

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: 2.5401
- Rouge1: 0.2403
- Rouge2: 0.0714
- Rougel: 0.1924
- Rougelsum: 0.1922
- Gen Len: 18.1163

## 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: 1
- eval_batch_size: 1
- 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   | 99   | 2.5104          | 0.189  | 0.053  | 0.154  | 0.1535    | 13.3023 |
| No log        | 2.0   | 198  | 2.4941          | 0.2498 | 0.0781 | 0.1972 | 0.197     | 18.2326 |
| No log        | 3.0   | 297  | 2.5144          | 0.2394 | 0.0652 | 0.1914 | 0.192     | 18.4419 |
| No log        | 4.0   | 396  | 2.5401          | 0.2403 | 0.0714 | 0.1924 | 0.1922    | 18.1163 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3