CoolFace
Modelpublic

ammonbro/something

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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something

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7061

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
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
0.69691.014290.7070
0.69162.028580.7016
0.69053.042870.7114
0.68874.057160.7091
0.68885.071450.7066
0.68786.085740.7043
0.68747.0100030.7076
0.68778.0114320.7072
0.68689.0128610.7067
0.686910.0142900.7061

Framework versions

  • —Transformers 4.45.2
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.0.1
  • —Tokenizers 0.20.1