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SociauxLing/modernbert-CGEdit-AAE_cg_final

sourceHugging Faceupdated 4mo agoView on Hugging Face
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Model Card

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modernbert-CGEdit-AAEcgfinal

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: 0.8943

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
3.61631.01830.9028
3.58212.03660.8998
3.57963.05490.8986
3.60044.07320.8979
3.55505.09150.8972
3.54066.010980.8960
3.52347.012810.8950
3.54278.014640.8945
3.50389.016470.8941
3.333410.018300.8946
3.521111.020130.8949
3.511412.021960.8940
3.516413.023790.8937
3.504414.025620.8945
3.491515.027450.8938
3.498416.029280.8939
3.495317.031110.8940
3.502518.032940.8943

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.5.1+cu121
  • Tokenizers 0.22.1