---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wiki_asp-animal_7340_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-animal_7340_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: 2.5325
- Rouge1: 0.1399
- Rouge2: 0.0606
- Rougel: 0.1236
- Rougelsum: 0.1238
- Gen Len: 15.5516

## 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        | 1.93  | 500  | 2.7950          | 0.1206 | 0.0456 | 0.1042 | 0.1044    | 15.4938 |
| No log        | 3.87  | 1000 | 2.6359          | 0.1188 | 0.0475 | 0.1037 | 0.104     | 14.4579 |
| No log        | 5.8   | 1500 | 2.5695          | 0.137  | 0.0571 | 0.1205 | 0.1207    | 15.7157 |
| 2.9693        | 7.74  | 2000 | 2.5406          | 0.1433 | 0.0611 | 0.1263 | 0.1268    | 15.7796 |
| 2.9693        | 9.67  | 2500 | 2.5325          | 0.1399 | 0.0606 | 0.1236 | 0.1238    | 15.5516 |


### Framework versions

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