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

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2529
- Rouge1: 39.474
- Rouge2: 15.406
- Rougel: 27.6651
- Rougelsum: 36.2084
- Gen Len: 75.5717

## 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: 5e-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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.5384        | 1.0   | 5435  | 2.3837          | 38.4347 | 14.2933 | 26.4507 | 35.1406   | 80.9404 |
| 2.2422        | 2.0   | 10870 | 2.3314          | 38.8455 | 14.6495 | 27.0452 | 35.4609   | 77.2153 |
| 2.0497        | 3.0   | 16305 | 2.3032          | 39.0212 | 14.8913 | 27.3328 | 35.7033   | 75.7681 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2