CoolFace
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Hiranmai49/CFDistilGPT

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

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CFDistilGPT

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.9080

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 20

Training results

Training LossEpochStepValidation Loss
No log1.01403.2381
No log2.02803.1353
No log3.04203.0809
3.23464.05603.0432
3.23465.07003.0202
3.23466.08402.9960
3.23467.09802.9784
2.92168.011202.9666
2.92169.012602.9535
2.921610.014002.9435
2.785611.015402.9330
2.785612.016802.9253
2.785613.018202.9221
2.785614.019602.9184
2.697915.021002.9159
2.697916.022402.9133
2.697917.023802.9096
2.647918.025202.9102
2.647919.026602.9080
2.647920.028002.9080

Framework versions

  • —Transformers 4.46.1
  • —Pytorch 2.4.0+cu121
  • —Datasets 3.0.1
  • —Tokenizers 0.20.1