transformers pytorch bart text2text-generation generated_from_trainer summarization dataset:mlsum license:mit autotrain_compatible endpoints_compatible region:us
---
datasets:
- mlsum
license: mit
metrics:
- rouge
- bertscore
pipeline_tag: summarization
tags:
- generated_from_trainer
model-index:
- name: bart-large-mlsum
  results: []
---

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# bart-large-mlsum

This model is a fine-tuned version of [Kafaite24/bart-large-mlsum](https://huggingface.co/Kafaite24/bart-large-mlsum) on the mlsum dataset.

## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- label_smoothing_factor: 0.1

### Training results



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2