transformers safetensors t5 text2text-generation generated_from_trainer dataset:tiagoblima/qg_squad_v1_pt base_model:unicamp-dl/ptt5-large-t5-vocab license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: unicamp-dl/ptt5-large-t5-vocab
tags:
- generated_from_trainer
datasets:
- tiagoblima/qg_squad_v1_pt
model-index:
- name: t5_large-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_large-qg-ap-nopeft

This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1994

## 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: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1714        | 1.0   | 808  | 1.2385          |
| 1.0782        | 2.0   | 1616 | 1.2066          |
| 1.0064        | 3.0   | 2424 | 1.1994          |
| 0.9555        | 4.0   | 3232 | 1.2031          |
| 0.9261        | 5.0   | 4040 | 1.2048          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
