---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
datasets:
- tiagoblima/preprocessed-du-qg-squadv1_pt
model-index:
- name: mt5_base-qg-aap-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-aap-oficial

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the tiagoblima/preprocessed-du-qg-squadv1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0870

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7144        | 1.0   | 1386 | 1.3310          |
| 1.5556        | 2.0   | 2772 | 1.2120          |
| 1.4427        | 3.0   | 4158 | 1.1406          |
| 1.3878        | 4.0   | 5544 | 1.0971          |
| 1.3626        | 5.0   | 6930 | 1.0870          |


### Framework versions

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