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
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Model tree for MOJO-CX/mbart-portuguese-summarization
Base model
facebook/mbart-large-50