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Keithulu/distilgpt2-finetuned-python-stack-clean-answers-e10

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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distilgpt2-finetuned-python-stack-clean-answers-e10

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

  • —Loss: 3.3318

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
No log1.0283.7900
No log2.0563.6846
No log3.0843.5965
No log4.01123.5271
No log5.01403.4656
No log6.01683.4170
No log7.01963.3794
No log8.02243.3529
No log9.02523.3367
No log10.02803.3318

Framework versions

  • —Transformers 4.30.2
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.13.1
  • —Tokenizers 0.13.3