---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wiki_asp-software_5406_bart-base
  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. -->

# wiki_asp-software_5406_bart-base

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: 3.0105
- Rouge1: 0.1448
- Rouge2: 0.0489
- Rougel: 0.1205
- Rougelsum: 0.1207
- Gen Len: 19.8626

## 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
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 2.37  | 500  | 3.1540          | 0.1377 | 0.0441 | 0.1151 | 0.1153    | 19.8858 |
| No log        | 4.74  | 1000 | 3.0456          | 0.1408 | 0.0463 | 0.117  | 0.1172    | 19.7587 |
| No log        | 7.1   | 1500 | 3.0225          | 0.1428 | 0.0472 | 0.1183 | 0.1183    | 19.9145 |
| 3.2197        | 9.47  | 2000 | 3.0105          | 0.1448 | 0.0489 | 0.1205 | 0.1207    | 19.8626 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2