This model is a fine-tuned version of pierreguillou/gpt2-small-portuguese on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6841

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.3435	1.0	658	1.8346
1.8668	2.0	1316	1.7141
1.7573	3.0	1974	1.6841

Framework versions

Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3

Luciano/gpt2-small-portuguese-finetuned-tcu-acordaos

gpt2-small-portuguese-finetuned-tcu-acordaos

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Luciano/
gpt2-small-portuguese-finetuned-tcu-acordaos