---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
datasets:
- tiagoblima/du-qg-squadv1_pt
model-index:
- name: mt5_base-qg-ap-peft-oficial
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5_base-qg-ap-peft-oficial

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the tiagoblima/du-qg-squadv1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 6.6924

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 10.2785       | 1.0   | 2367  | 7.4566          |
| 9.7078        | 2.0   | 4734  | 7.0581          |
| 9.4851        | 3.0   | 7101  | 6.8360          |
| 9.2737        | 4.0   | 9468  | 6.7291          |
| 9.3588        | 5.0   | 11835 | 6.6924          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1