armpln/mbart-translate-en-es-cookiespolices

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mbart-translate-en-es-cookiespolices

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2743
• —Bleu: 34.2324
• —Gen Len: 14.16

Model description

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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.2.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.6.1
• —Tokenizers 0.22.2