MOJO-CX/mbart-portuguese-summarization

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: 1.8182
• Rouge1: 45.6046
• Rouge2: 23.2831
• Rougel: 38.1071
• Rougelsum: 38.7144
• Gen Len: 21.1711

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