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tlemenestrel/Churchill-GPT

sourceHugging Facemitupdated 4y agoView on Hugging Face
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Model Card

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Churchill-GPT

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

  • —Loss: 3.5078

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation Loss
No log1.0163.4954
No log2.0323.4977
No log3.0483.5000
No log4.0643.5040
No log5.0803.5063
No log6.0963.5063
No log7.01123.5072
No log8.01283.5078

Framework versions

  • —Transformers 4.25.1
  • —Pytorch 1.12.1
  • —Datasets 2.7.1
  • —Tokenizers 0.13.2