transformers pytorch tensorboard bart text2text-generation generated_from_trainer dataset:cnn_dailymail base_model:facebook/bart-large base_model:finetune:facebook/bart-large license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/bart-large
datasets:
- cnn_dailymail
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: cu-go-bart-base-xsum
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: cnn_dailymail 3.0.0
      type: cnn_dailymail
      config: 3.0.0
      split: validation
      args: 3.0.0
    metrics:
    - type: rouge
      value: 44.2616
      name: Rouge1
---

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# cu-go-bart-base-xsum

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the cnn_dailymail 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4887
- Rouge1: 44.2616
- Rouge2: 21.2292
- Rougel: 31.0371
- Rougelsum: 41.4395
- Gen Len: 77.2961

## 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: 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: 3.0

### Training results



### Framework versions

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