Ro551/opus-mt-es-en-GEC-spanish-LORA-cowsl2h

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opus-mt-es-en-GEC-spanish-LORA-cowsl2h

This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-en on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1340
• —Gleu: 0.4355

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: 0.0013223040248761528
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.09857017609527079
• —num_epochs: 4
• —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