Ro551/mbart-large-50-GEC-spanish-LORA-merged

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mbart-large-50-GEC-spanish-LORA-merged

This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 6.8877
• —Gleu: 0.8475

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: 0.00044406688888615583
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.08309212265191754
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 5.0.0
• —Pytorch 2.7.0+cu126
• —Datasets 4.8.5
• —Tokenizers 0.22.2