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Ro551/m2m100_418M-GEC-spanish-LORA-cowsl2h

sourceHugging Facemitupdated 3mo agoView on Hugging Face
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Model Card

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m2m100_418M-GEC-spanish-LORA-cowsl2h

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: 6.0424
  • —Gleu: 0.6151

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
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 32
  • —optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 0.08950396527674138
  • —num_epochs: 4
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossGleu
14.57131.01946.05050.5815
12.15012.03886.04410.6024
12.13553.05826.04360.6056
12.10914.07766.04240.6151

Framework versions

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