This model is a fine-tuned version of hackathon-pln-es/es_text_neutralizer on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0665
Bleu: 87.5423
Gen Len: 18.5417

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: 5.6e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	440	0.0719	87.4629	18.5417
0.0256	2.0	880	0.0665	87.5423	18.5417

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

vapogore/es_neutral

es_neutral

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vapogore/
es_neutral