---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mt5-large-bn_sum_total_data
  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. -->

# mt5-large-bn_sum_total_data

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on [this](https://www.kaggle.com/datasets/hasanmoni/bengali-text-summarization) dataset.

## Model description

Our fine-tuned MT5-large model has significantly outperformed the state-of-the-art model (CSEBUETNLP/mT5_multilingual_XLSum) for Bangla text summarization. We achieved a ROUGE score of approximately 43, surpassing the previous record of 29.5653. This improvement demonstrates the effectiveness of our approach and highlights the potential for further advancements in Bangla NLP.
## Intended uses & limitations

Has a limitation for banglish texts

## Training and evaluation data

[Dataset](https://www.kaggle.com/datasets/hasanmoni/bengali-text-summarization)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2