---
license: mit
base_model: unicamp-dl/ptt5-base-t5-vocab
tags:
- generated_from_trainer
datasets:
- tiagoblima/qg_squad_v1_pt
model-index:
- name: t5_base-qg-ap-nopeft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5_base-qg-ap-nopeft

This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1980

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1634        | 1.0   | 3231  | 1.2246          |
| 1.0645        | 2.0   | 6463  | 1.2035          |
| 0.991         | 3.0   | 9694  | 1.1980          |
| 0.9459        | 4.0   | 12926 | 1.2027          |
| 0.9191        | 5.0   | 16155 | 1.2074          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0