This model is a fine-tuned version of pierreguillou/gpt2-small-portuguese on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.0813

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
4.4813	1.0	2327	4.2486
4.2736	2.0	4654	4.1195
4.2141	3.0	6981	4.0813

Framework versions

Transformers 4.55.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4

arthuraraujo/gpt2-small-machado-de-assis

gpt2-small-machado-de-assis

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

arthuraraujo/
gpt2-small-machado-de-assis