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

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: 0.2148
- Rouge1: 0.1029
- Rouge2: 0.0092
- Rougel: 0.1032
- Rougelsum: 0.1037

## 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: 5.6e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.8399        | 1.0   | 119  | 0.2340          | 0.0924 | 0.0061 | 0.0882 | 0.0871    |
| 0.2248        | 2.0   | 238  | 0.2141          | 0.0964 | 0.0094 | 0.0891 | 0.0902    |
| 0.179         | 3.0   | 357  | 0.2148          | 0.1029 | 0.0092 | 0.1032 | 0.1037    |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.11.0
- Datasets 2.19.2
- Tokenizers 0.19.1