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azizkt/HPY_gpt2_vOthers

sourceHugging Facecc-by-sa-4.0updated 2y agoView on Hugging Face
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Model Card

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HPYgpt2vOthers

This model is a fine-tuned version of ClassCat/gpt2-base-french on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6228

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: 2e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 4

Training results

Training LossEpochStepValidation Loss
No log1.03840.6838
0.89892.07690.6428
0.64033.011530.6275
0.60913.9915360.6228

Framework versions

  • Transformers 4.30.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.13.3