---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wiki_asp-event_4022_bart-base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# wiki_asp-event_4022_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: 2.9871
- Rouge1: 0.1056
- Rouge2: 0.0337
- Rougel: 0.087
- Rougelsum: 0.0872
- Gen Len: 16.798

## 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        | 4.94  | 500  | 3.0678          | 0.1015 | 0.0303 | 0.0832 | 0.0835    | 16.5031 |
| No log        | 9.88  | 1000 | 2.9871          | 0.1056 | 0.0337 | 0.087  | 0.0872    | 16.798  |


### Framework versions

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