MOJO-CX/mbart-portuguese-summarization

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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
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_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