transformers safetensors t5 text2text-generation generated_from_trainer dataset:tiagoblima/preprocessed-du-qg-squadv1_pt base_model:unicamp-dl/ptt5-base-t5-vocab license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: unicamp-dl/ptt5-base-t5-vocab
tags:
- generated_from_trainer
datasets:
- tiagoblima/preprocessed-du-qg-squadv1_pt
model-index:
- name: t5_base-qg-aap-test
  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_base-qg-aap-test

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/preprocessed-du-qg-squadv1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0278

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 8.5434          |
| No log        | 2.0   | 2    | 7.3013          |
| No log        | 3.0   | 3    | 6.1993          |
| No log        | 4.0   | 4    | 5.2898          |
| No log        | 5.0   | 5    | 4.5226          |
| No log        | 6.0   | 6    | 3.9202          |
| No log        | 7.0   | 7    | 3.4436          |
| No log        | 8.0   | 8    | 3.0408          |
| No log        | 9.0   | 9    | 2.7138          |
| No log        | 10.0  | 10   | 2.4436          |
| No log        | 11.0  | 11   | 2.2130          |
| No log        | 12.0  | 12   | 2.0190          |
| No log        | 13.0  | 13   | 1.8451          |
| No log        | 14.0  | 14   | 1.6746          |
| No log        | 15.0  | 15   | 1.5047          |
| No log        | 16.0  | 16   | 1.3376          |
| No log        | 17.0  | 17   | 1.1800          |
| No log        | 18.0  | 18   | 1.0434          |
| No log        | 19.0  | 19   | 0.9442          |
| No log        | 20.0  | 20   | 0.8739          |
| No log        | 21.0  | 21   | 0.8163          |
| No log        | 22.0  | 22   | 0.7629          |
| No log        | 23.0  | 23   | 0.7118          |
| No log        | 24.0  | 24   | 0.6618          |
| No log        | 25.0  | 25   | 0.6104          |
| No log        | 26.0  | 26   | 0.5597          |
| No log        | 27.0  | 27   | 0.5112          |
| No log        | 28.0  | 28   | 0.4657          |
| No log        | 29.0  | 29   | 0.4243          |
| No log        | 30.0  | 30   | 0.3873          |
| No log        | 31.0  | 31   | 0.3529          |
| No log        | 32.0  | 32   | 0.3209          |
| No log        | 33.0  | 33   | 0.2918          |
| No log        | 34.0  | 34   | 0.2667          |
| No log        | 35.0  | 35   | 0.2436          |
| No log        | 36.0  | 36   | 0.2215          |
| No log        | 37.0  | 37   | 0.2004          |
| No log        | 38.0  | 38   | 0.1808          |
| No log        | 39.0  | 39   | 0.1637          |
| No log        | 40.0  | 40   | 0.1484          |
| No log        | 41.0  | 41   | 0.1357          |
| No log        | 42.0  | 42   | 0.1252          |
| No log        | 43.0  | 43   | 0.1159          |
| No log        | 44.0  | 44   | 0.1079          |
| No log        | 45.0  | 45   | 0.0997          |
| No log        | 46.0  | 46   | 0.0922          |
| No log        | 47.0  | 47   | 0.0858          |
| No log        | 48.0  | 48   | 0.0802          |
| No log        | 49.0  | 49   | 0.0749          |
| No log        | 50.0  | 50   | 0.0703          |
| No log        | 51.0  | 51   | 0.0660          |
| No log        | 52.0  | 52   | 0.0626          |
| No log        | 53.0  | 53   | 0.0596          |
| No log        | 54.0  | 54   | 0.0573          |
| No log        | 55.0  | 55   | 0.0555          |
| No log        | 56.0  | 56   | 0.0539          |
| No log        | 57.0  | 57   | 0.0521          |
| No log        | 58.0  | 58   | 0.0506          |
| No log        | 59.0  | 59   | 0.0496          |
| No log        | 60.0  | 60   | 0.0485          |
| No log        | 61.0  | 61   | 0.0472          |
| No log        | 62.0  | 62   | 0.0460          |
| No log        | 63.0  | 63   | 0.0445          |
| No log        | 64.0  | 64   | 0.0432          |
| No log        | 65.0  | 65   | 0.0421          |
| No log        | 66.0  | 66   | 0.0409          |
| No log        | 67.0  | 67   | 0.0396          |
| No log        | 68.0  | 68   | 0.0385          |
| No log        | 69.0  | 69   | 0.0375          |
| No log        | 70.0  | 70   | 0.0365          |
| No log        | 71.0  | 71   | 0.0358          |
| No log        | 72.0  | 72   | 0.0350          |
| No log        | 73.0  | 73   | 0.0344          |
| No log        | 74.0  | 74   | 0.0338          |
| No log        | 75.0  | 75   | 0.0334          |
| No log        | 76.0  | 76   | 0.0329          |
| No log        | 77.0  | 77   | 0.0326          |
| No log        | 78.0  | 78   | 0.0321          |
| No log        | 79.0  | 79   | 0.0317          |
| No log        | 80.0  | 80   | 0.0314          |
| No log        | 81.0  | 81   | 0.0310          |
| No log        | 82.0  | 82   | 0.0306          |
| No log        | 83.0  | 83   | 0.0303          |
| No log        | 84.0  | 84   | 0.0299          |
| No log        | 85.0  | 85   | 0.0297          |
| No log        | 86.0  | 86   | 0.0294          |
| No log        | 87.0  | 87   | 0.0292          |
| No log        | 88.0  | 88   | 0.0290          |
| No log        | 89.0  | 89   | 0.0288          |
| No log        | 90.0  | 90   | 0.0287          |
| No log        | 91.0  | 91   | 0.0285          |
| No log        | 92.0  | 92   | 0.0284          |
| No log        | 93.0  | 93   | 0.0282          |
| No log        | 94.0  | 94   | 0.0281          |
| No log        | 95.0  | 95   | 0.0281          |
| No log        | 96.0  | 96   | 0.0280          |
| No log        | 97.0  | 97   | 0.0279          |
| No log        | 98.0  | 98   | 0.0279          |
| No log        | 99.0  | 99   | 0.0278          |
| 0.8788        | 100.0 | 100  | 0.0278          |


### Framework versions

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