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05deepak/finetuned-gpt2-decision_making_model

sourceHugging Facemitupdated 2y agoView on Hugging Face
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finetuned-gpt2-decisionmakingmodel

This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.5029

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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —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 log1.0142.7515
No log2.0282.4849
No log3.0422.4757
No log4.0562.4459
No log5.0702.4741
No log6.0842.4835
No log7.0982.5468
No log8.01122.4869
No log9.01262.4977
No log10.01402.5029

Framework versions

  • —Transformers 4.41.2
  • —Pytorch 2.3.0+cu121
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1