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SociauxLing/modernbert-CGEdit-AAE_sv3cg_final

sourceHugging Faceupdated 4mo agoView on Hugging Face
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Model Card

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modernbert-CGEdit-AAEsv3cgfinal

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: 0.8995

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
3.61761.02310.9080
3.63132.04620.9049
3.60733.06930.9038
3.62264.09240.9023
3.60975.011550.9021
3.57656.013860.9020
3.55847.016170.9011
3.52978.018480.9007
3.51159.020790.9017
3.440110.023100.9008
3.515411.025410.9000
3.524512.027720.9008
3.528813.030030.9005
3.502114.032340.8999
3.524015.034650.9003
3.512216.036960.8999
3.503217.039270.8997
3.536518.041580.8995
3.547019.043890.8997
3.443420.046200.8996
3.530321.048510.8994
3.520322.050820.8997
3.546523.053130.8994
3.533524.055440.8996
3.533325.057750.8994
3.533926.060060.8995
3.542927.062370.8995
3.526128.064680.8995

Framework versions

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