---
tags:
- summarization
- generated_from_trainer
datasets:
- mlsum
model-index:
- name: mT5_multilingual_XLSum-finetuned-mlsum-tr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mT5_multilingual_XLSum-finetuned-mlsum-tr

This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on the mlsum dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8230
- eval_rouge1: 38.1147
- eval_rouge2: 25.2516
- eval_rougeL: 33.3003
- eval_rougeLsum: 34.7125
- eval_runtime: 810.61
- eval_samples_per_second: 2.853
- eval_steps_per_second: 0.358
- epoch: 4.0
- step: 24928

## 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: 8

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2