---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: cu-go-bart-large-xsum
  results:
  - task:
      name: Summarization
      type: summarization
    dataset:
      name: xsum 3.0.0
      type: xsum
      config: 3.0.0
      split: validation
      args: 3.0.0
    metrics:
    - name: Rouge1
      type: rouge
      value: 44.3986
---

<!-- 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. -->

# cu-go-bart-large-xsum

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the xsum 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7265
- Rouge1: 44.3986
- Rouge2: 21.5299
- Rougel: 36.3546
- Rougelsum: 36.3492
- Gen Len: 26.3149

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1