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

# test_sum_bart_base_model

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: 0.7789
- Rouge1: 0.4137
- Rouge2: 0.3037
- Rougel: 0.3749
- Rougelsum: 0.3747
- Gen Len: 19.9959

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.9855        | 1.0   | 1764 | 0.8474          | 0.4122 | 0.303  | 0.3726 | 0.3726    | 19.9908 |
| 0.8409        | 2.0   | 3528 | 0.7938          | 0.4138 | 0.3044 | 0.3752 | 0.3751    | 19.9946 |
| 0.7872        | 3.0   | 5292 | 0.7776          | 0.4174 | 0.308  | 0.3783 | 0.3782    | 19.9928 |
| 0.7485        | 4.0   | 7056 | 0.7789          | 0.4137 | 0.3037 | 0.3749 | 0.3747    | 19.9959 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2