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mbart-contratos-en-es
LourdesY/mbart-contratos-en-es
mbart-contratos-en-es is a machine learning model from LourdesY. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Mar 27, 2025
- Updated
- Mar 27, 2025
- SHA
- 716009f6
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mbart-contratos-en-es
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: 2.9995
- Bleu: 23.0528
- Gen Len: 31.7222
Model description
Ejercicio de evaluación de la asignatura Traducción Automática del Máster de Procesamiento del Lenguaje
Intended uses & limitations
Ejercicio de evaluación de la asignatura Traducción Automática del Máster de Procesamiento del Lenguaje
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: 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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 7 | 3.1586 | 18.5859 | 29.7222 |
| No log | 2.0 | 14 | 2.9995 | 23.0528 | 31.7222 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- transformers
- Type
- mbart
- License
- mit
- Languages
- en, es
- Created
- Mar 27, 2025
- Updated
- Mar 27, 2025