transformers safetensors t5 text2text-generation generated_from_trainer dataset:tiagoblima/qg_squad_v1_pt base_model:unicamp-dl/ptt5-small-t5-vocab license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: unicamp-dl/ptt5-small-t5-vocab
tags:
- generated_from_trainer
datasets:
- tiagoblima/qg_squad_v1_pt
model-index:
- name: debug_t5-small_squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# debug_t5-small_squad

This model is a fine-tuned version of [unicamp-dl/ptt5-small-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-small-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5534

## 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
