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

# model

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9659
- Rouge1: 0.6514
- Rouge2: 0.5278
- Rougel: 0.6214
- Rougelsum: 0.6209
- Gen Len: 19.9082

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.9746        | 1.0   | 3363  | 0.9969          | 0.6465 | 0.5254 | 0.6176 | 0.6175    | 19.9014 |
| 0.7439        | 2.0   | 6726  | 0.9272          | 0.6516 | 0.5291 | 0.6221 | 0.6216    | 19.8652 |
| 0.5953        | 3.0   | 10089 | 0.9432          | 0.6533 | 0.5293 | 0.6231 | 0.6228    | 19.8943 |
| 0.4824        | 4.0   | 13452 | 0.9659          | 0.6514 | 0.5278 | 0.6214 | 0.6209    | 19.9082 |


### Framework versions

- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2