---
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
model-index:
- name: Instruct-PTBR-ENUS-11M
  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. -->

# Instruct-PTBR-ENUS-11M

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 20.6833
- eval_rouge1: 2.796
- eval_rouge2: 0.7009
- eval_rougeL: 2.5919
- eval_rougeLsum: 2.6166
- eval_runtime: 76.9162
- eval_samples_per_second: 32.503
- eval_steps_per_second: 4.069
- 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: 8

### Framework versions

- Transformers 4.36.2
- Pytorch 1.10.1+cu113
- Datasets 2.16.1
- Tokenizers 0.15.0