This small model was developed to translate cookie policy websites from English into Spanish as part of a Master’s degree project in Natural Language Processing (NLP).

Intended uses & limitations

The model was trained on a very small dataset (216 rows), so its performance is very limited. It is intended primarily for educational and experimental purposes.

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: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	108	2.4262	37.6989	18.84
No log	2.0	216	1.2743	34.2324	14.16

Framework versions

Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2

armpln/mbart-translate-en-es-cookiespolices

mbart-translate-en-es-cookiespolices

Model description