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SociauxLing/modernbert-CGEdit-AAE_masis_cg_final

sourceHugging Faceupdated 4mo agoView on Hugging Face
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Model Card

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modernbert-CGEdit-AAEmasiscg_final

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.8603

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: 3e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 0.1
  • —num_epochs: 40

Training results

Training LossEpochStepValidation Loss
3.48901.0930.8729
3.46522.01860.8685
3.45813.02790.8657
3.43904.03720.8657
3.43755.04650.8644
3.43756.05580.8616
3.43797.06510.8617
3.43488.07440.8607
3.43799.08370.8605
3.315910.09300.8613
3.439011.010230.8601
3.422112.011160.8602
3.429813.012090.8603
3.405514.013020.8602
3.406115.013950.8605
3.398816.014880.8603

Framework versions

  • —Transformers 5.0.0
  • —Pytorch 2.5.1+cu121
  • —Tokenizers 0.22.1