---
library_name: transformers
license: mit
base_model: unicamp-dl/ptt5-base-portuguese-vocab
tags:
- generated_from_trainer
model-index:
- name: t5-portuguese-quiz
  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. -->

# t5-portuguese-quiz

This model is a fine-tuned version of [unicamp-dl/ptt5-base-portuguese-vocab](https://huggingface.co/unicamp-dl/ptt5-base-portuguese-vocab) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7499

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 7    | 38.9123         |
| 37.0215       | 2.0   | 14   | 19.7826         |
| 20.0237       | 3.0   | 21   | 9.3822          |
| 20.0237       | 4.0   | 28   | 6.4034          |
| 8.472         | 5.0   | 35   | 4.0273          |
| 4.6509        | 6.0   | 42   | 2.0258          |
| 4.6509        | 7.0   | 49   | 1.0862          |
| 2.3018        | 8.0   | 56   | 0.8273          |
| 1.5773        | 9.0   | 63   | 0.7654          |
| 1.3641        | 10.0  | 70   | 0.7499          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cpu
- Datasets 3.0.0
- Tokenizers 0.19.1