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Ro551/m2m100_418M-GEC-spanish-LORA-synthetic

sourceHugging Facemitupdated 4mo agoView on Hugging Face
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m2m100_418M-GEC-spanish-LORA-synthetic

This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 3.9074
  • —Gleu: 0.9276

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: 0.00044107500561578277
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 0.08950396527674138
  • —num_epochs: 2
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossGleu
3.94851.068963.91140.9166
3.96322.0137923.90740.9276

Framework versions

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