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mbart-spanish-summarization
MOJO-CX/mbart-spanish-summarization
mbart-spanish-summarization is a machine learning model from MOJO-CX. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Dec 7, 2025
- Updated
- Dec 7, 2025
- SHA
- dd05417f
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. -->
model
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: 1.8199
- Rouge1: 43.7115
- Rouge2: 22.0743
- Rougel: 36.4052
- Rougelsum: 37.134
- Gen Len: 20.3814
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu129
- Datasets 4.1.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- mbart
- Languages
- es
- Created
- Dec 7, 2025
- Updated
- Dec 7, 2025