CoolFace
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emdemor/question-generator

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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question-generator

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.4475

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: 0.0005
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.88520.08501.7072
1.60360.161001.4856
1.51860.241501.4662
1.48220.322001.4603
1.50350.42501.4578
1.48130.483001.4558
1.48780.563501.4534
1.47650.644001.4523
1.48030.724501.4485
1.49250.85001.4478
1.490.885501.4467
1.48880.966001.4461
1.47321.046501.4470
1.46771.127001.4476
1.44021.27501.4475

Framework versions

  • —PEFT 0.12.0
  • —Transformers 4.42.3
  • —Pytorch 2.1.2
  • —Datasets 2.20.0
  • —Tokenizers 0.19.1