---
license: mit
base_model: facebook/mbart-large-50
tags:
- summarization
- generated_from_trainer
datasets:
- mlsum
model-index:
- name: mbart-large-50-finetuned-mBART50
  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. -->

# mbart-large-50-finetuned-mBART50

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the mlsum dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.3657
- eval_rouge1: 31.5055
- eval_rouge2: 23.392
- eval_rougeL: 28.9957
- eval_rougeLsum: 30.2596
- eval_runtime: 9404.8054
- eval_samples_per_second: 0.286
- eval_steps_per_second: 0.036
- step: 0

## 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: 5.6e-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: 4

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0
- Datasets 2.19.2
- Tokenizers 0.19.1