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Holarissun/RM-HH-AllMixNonPeft_harmless_gpt3_20000_gpt2-large_shuffleTrue_extractchosenTrue

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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RM-HH-AllMixNonPeftharmlessgpt320000gpt2-largeshuffleTrueextractchosenTrue

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

  • —Loss: 0.4353
  • —Accuracy: 0.7713

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: 1.41e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 1.0

Training results

Training LossEpochStepValidation LossAccuracy
0.52140.172500.47810.7450
0.47880.335000.45300.7721
0.43750.57500.46390.7619
0.43690.6710000.43810.7732
0.43460.8412500.43530.7713

Framework versions

  • —Transformers 4.38.2
  • —Pytorch 2.1.2
  • —Datasets 2.18.0
  • —Tokenizers 0.15.2