---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: headline_geneartor
  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. -->

# headline_geneartor

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: 1.8033
- Rouge1: 0.4798
- Rouge2: 0.2432
- Rougel: 0.4377
- Rougelsum: 0.4375
- Gen Len: 17.7487

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.1366        | 1.0   | 3557  | 1.8742          | 0.4718 | 0.2344 | 0.4309 | 0.4308    | 17.7863 |
| 1.8889        | 2.0   | 7114  | 1.8210          | 0.4741 | 0.2392 | 0.433  | 0.4329    | 17.7028 |
| 1.7281        | 3.0   | 10671 | 1.8087          | 0.4797 | 0.2417 | 0.4374 | 0.4372    | 17.7501 |
| 1.6333        | 4.0   | 14228 | 1.8033          | 0.4798 | 0.2432 | 0.4377 | 0.4375    | 17.7487 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3