This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the jpherrerap/es_fakenews_dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.3234
F1: 0.8378

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: 16
eval_batch_size: 16
seed: 13
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.5238	1.0	70	0.4233	0.7600
0.2693	2.0	140	0.3234	0.8378

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

jpherrerap/fake-news-bert-base-spanish-wwm-cased

fake-news-bert-base-spanish-wwm-cased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jpherrerap/
fake-news-bert-base-spanish-wwm-cased